# 50-year seasonal variability in East African droughts and floods recorded in central Afar lake sediments (Ethiopia) and their connections with the El Niño-Southern Oscillation

Carlo Mologni, Marie Revel, Eric Chaumillon, Emmanuel Malet, Thibault Coulombier, Pierre Sabatier, Pierre Brigode, Gwenael Hervé, Anne Lise Develle, Laure Schenini, et al.

► To cite this version:

Carlo Mologni, Marie Revel, Eric Chaumillon, Emmanuel Malet, Thibault Coulombier, et al. 50-year seasonal variability in East African droughts and floods recorded in central Afar lake sediments (Ethiopia) and their connections with the El Niño-Southern Oscillation. Climate of the Past, 2024, 20 (8), pp.1837-1860. 10.5194/cp-20-1837-2024. hal-04683781

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# 50-year seasonal variability in East African droughts and floods recorded in central Afar lake sediments (Ethiopia) and their connections with the El Niño–Southern Oscillation

Carlo Mologni<fnref n="1" />, Marie Revel<fnref n="1" />, Eric Chaumillon<fnref n="2" />, Emmanuel Malet<fnref n="3" />, Thibault Coulombier<fnref n="2" />, Pierre Sabatier<fnref n="3" />, Pierre Brigode<fnref n="1" />, Gwenael Hervé<fnref n="4" />, Anne-Lise Develle<fnref n="3" />, Laure Schenini<fnref n="1" />, Medhi Messous<fnref n="1" />, Gourguen Davtian<fnref n="6" />, Alain Carré<fnref n="6" />, Delphine Bosch<fnref n="7" />, Natacha Volto<fnref n="2" />, Clément Ménard<fnref n="5" />, Lamya Khalidi<fnref n="6" />, and Fabien Arnaud<fnref n="3" />

**Correspondence:** Carlo Mologni (mologni@geoazur.unice.fr)

Received: 1 February 2024 – Discussion started: 5 March 2024

Revised: 5 June 2024 – Accepted: 18 June 2024 – Published: 15 August 2024

**Abstract.** Understanding past and present hydrosystem feedbacks to global ocean–atmospheric interactions represents one of the main challenges to preventing droughts, extreme events, and related human catastrophes in the face of global warming, especially in arid and semiarid environments. In eastern Africa, the El Niño–Southern Oscillation (ENSO) was identified as one of the primary drivers of precipitation variability affecting water availability. However, the northern East African Rift System (EARS) still suffers from the underrepresentation of predictive and ENSO teleconnection models because of the scarcity of local to regional historical or palaeo-data.

In this paper, we provide a 50-year seasonal flood and drought chronicle of the Awash River catchment from the study of laminated sediment from Gemeri and Afambo lakes (central Afar region, Ethiopia) with the aim of reconstructing the magnitude of regional hydroclimatic events. Pluricentimetric micro-laminated lithogenic facies alternating with plurimillimetric carbonate-enriched facies are investigated in both lakes. We couple dating methods including radiocarbon, short-lived radionuclides, palaeomagnetic field variations, and varve counting on both lake deposits to build a

high-resolution age model and to discuss the regional hydrosedimentary dynamics of the Awash River over the last ~700 years with a focus on the last 50 years.

Using a multiproxy approach, we observe that following a multicentennial enhanced hydrological period, the two lakes have experienced a gradual decrease in river load inflow since 1979 CE, attaining extreme drought and high evaporative conditions between 1991 and 1997 CE. In 2014, the construction of a dam and increased agricultural water management in the lower Awash River plain impacted the erodibility of local soils and the hydrosedimentary balance of the lake basins, as evidenced by a disproportionate sediment accumulation rate.

Comparison of our quantitative reconstruction with (i) lake water surface evolution, (ii) the interannual Awash River flow rates, and (iii) the El Niño 3.4 model highlights the intermittent connections between ENSO sea surface temperature anomalies, regional droughts, and hydrological conditions in the northern EARS.

<footnote n="1">¹Université Côte d'Azur, CNRS, OCA, IRD, Géoazur, 250 Rue Albert Einstein, Valbonne, France</footnote>

<footnote n="2">²University of La Rochelle, UMR CNRS 7266 LIENSs, La Rochelle, France</footnote>

<footnote n="3">³Environnement Dynamique et Territoire de Montagne (EDYTEM), CNRS, Université Savoie Mont-Blanc, Le Bourget-du-lac, France</footnote>

<footnote n="4">⁴Laboratoire des Sciences du Climat et de l'Environnement/IPSL, CEA, CNRS, UVSQ, University of Paris-Saclay, Gif-sur-Yvette, France</footnote>

<footnote n="5">⁵EPCC, Centre Européen de Préhistoire, Avenue Léon-Jean Grégory, Tautavel, France</footnote>

<footnote n="6">⁶Université Côte d'Azur, CNRS, CEPAM – UMR 7264, 24 Av. des Diables Bleus, Nice, France</footnote>

<footnote n="7">⁷Géosciences Montpellier, UMR-CNRS 5243, Université de Montpellier, Montpellier, France</footnote>
# 1 Introduction

According to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC), climate warming impact has been more rapid in Africa in recent decades than in any other region of the world (IPCC, 2022). Between March and August across eastern Africa, the monsoonal rainy season is vital for agricultural production and thus for national food security, especially in more susceptible areas such as along the Rift Valley and over distal lowlands. During the last ~50 years, recurrent reduced rainy seasons have had substantial environmental, humanitarian, and economic impacts, including impacts on agriculture and ecosystem sustainability (Palmer et al., 2023). Global climate projections further suggest that the Horn of Africa will experience strong disturbances of its usual hydrological cycle with both an increasing frequency of intense rainfall events, leading to enhanced flashflood hazards, and a generalized scarcity of rainfall, leading to frequent severe drought episodes (Palmer et al., 2023). Such climatic instability may induce the collapse of the local food production system, leading to famine, as seen in the decades between 1970 and 1990 (FAO, 2000). More recently, the shorter-than-normal 2021 rainy season led to a 70% reduction in average precipitation compared with seasonal norms, which alerted and mobilized the mitigation of desertification processes in the Horn of Africa (FAO, 2022).

Facing such evidence, eastern Africa is currently the focus for understanding Late Holocene climate dynamics (Lennard et al., 2018) to simulate future projections, support regional ecosystem sustainability (Niang et al., 2014), and reduce rural population vulnerability to climate warming (FAO, 2022). Palaeoclimatic reconstructions have long been used to understand past climate variability to build more robust future climatic models in Africa. Even if global climate and hydrological model simulations have made considerable progress, reconstructions or tendencies of future precipitation and atmospheric dynamics in eastern Africa which affect continental hydrology at the regional to local scale remain to be developed (Dosio et al., 2019; Lennard et al., 2018). Indeed, the lack of widespread regional to local palaeoclimatic data makes it difficult to establish regional climatic models and link global hydroclimate variability with the functioning of specific hydrosystems.

In East Africa, precipitation variability is influenced by multiple interactions between patterns of remote climate forcing, regional circulation, and local geographic factors acting at local and global scales (Nicholson, 2017). At a wider scale, the El Niño–Southern Oscillation (ENSO) was identified as one of the primary drivers of precipitation in eastern Africa (Ficchì et al., 2021; Nicholson, 2017; Palmer et al., 2023). More research on regional high-temporal-resolution relationships between ENSO and flood/drought impacts in the present and in the past is increasingly needed (Ficchì et al., 2021; Ward et al., 2014). With the aim of

filling this gap, this paper focuses on the acquisition of new hydrosedimentary datasets (i.e. decennial- to seasonal-scale resolution) from the study of lacustrine sedimentary sequences from one of the wider river catchments in the northern East African Rift System (EARS), namely the Awash River basin (Fig. 1).

As the flood occurrence and magnitude of the Awash River are mainly linked to the fluctuation in the Ethiopian Highland precipitation regime over time, the establishment of regional flood chronicles from natural archives is key for evaluating the evolution of precipitation variability on land (Ficchì et al., 2021; Mologni et al., 2020; Wilhelm et al., 2022). Of all of the natural archives for hydrological reconstruction, lakes are privileged because they act as natural sinks, continuously trapping erosion products from an entire catchment over a long period (Sabatier et al., 2022; Wilhelm et al., 2018). Indeed, during flood events, water-transported detrital particles (or sediment discharge) are deposited on the lake bottom in the form of graded layers that differ from the intra-lake sedimentation related to lake productivity. Thus, lake sedimentary deposits are valuable to fully understand the relationships between hydroclimate, rainfall, floods, droughts, and lake water conditions at the regional scale.

This paper presents the results from a multiproxy study combining a seismic survey with sedimentological and geochemical analyses performed on archives from the Afambo and Gemeri lakes located in the Abhe Lake basin (central Afar region, Ethiopia; Fig. 1). The main objective of this study is to quantify long-term variations in the Awash River's solid sedimentary discharge to establish a chronicle of regional flood activity chronicle and to reconstitute the hydrological regime of the Awash River. We aim first to identify the hydrosedimentary processes in the Afambo and Gemeri lake basins (central Afar region, Ethiopia) under human and hydroclimate/meteorological forcing over the long-term. Finally, we compare these flood and drought chronicles with global ENSO records and discuss the interaction between atmospheric anomalies, droughts, and hydrological conditions in the northern EARS.

# 2 Study site: hydrological and geomorphological settings

## 2.1 Regional hydroclimatic patterns

The Abhe Lake basin, located at the northern extremity of the EARS (~12°N), is the widest and longest rifting-controlled sedimentary basin of the Afar rift system (Fig. 1a). It corresponds to the topographic depression of the lower Awash Valley (Fig. 1b), consisting of an area of 6000 km² (Mologni et al., 2021). The central Afar region is currently a desert receiving ~400 mm yr⁻¹ local precipitation (Fig. 1d) with a mean annual evapotranspiration rate of ~2000 mm yr⁻¹ (Fig. 1e). In such a dry context, the permanency of waterbodies such as lakes Gemeri and Afambo
<figure><img src="image_3.png" /><figcaption>**Figure 1.** Geographical, geomorphological, and hydrological contexts of the study area and coring sites. (a) Location of the central Afar region on a topographic map of Africa (red star; ArcGIS©Esri database). (b) Digital elevation model of the Lake Abhe basin (Shuttle Radar Topography Mission) corresponding to the lower Awash Valley with the location of Gemeri, Afambo, and Abhe waterbodies, the corresponding alluvial plain and the Awash River delta, the main coring sites (red dots), the overflow directions, and the Tendaho Dam. (c) Focus on lakes Afambo and Gemeri study sites with the location of coring sites (red dots), the local hydrographic network (light blue lines), and the overflow direction between the waterbodies. (d) Mean annual precipitation over the Awash River and Lake Abhe basins estimated over the 1979–2019 period using the MSWEP (Multi-Source Weighted-Ensemble Precipitation) dataset (Beck et al., 2019). (e) Mean annual potential evapotranspiration rate over the Awash River watershed and Lake Abhe basins estimated using the Oudin et al. (2005) formula and the air temperature of the ERA5 dataset (Hersbach et al., 2020).</figcaption></figure>

(Fig. 1c) is mainly supported by their hydrological dependence on permanent Awash River water supplies originating in the Ethiopian Highlands (mean annual precipitation ~1000 mm yr⁻¹; Fig. 1d), whereby the hydrological regime is dominated by seasonal rainfall pertaining to the southwest African monsoon. With a drainage basin surface of over 112 700 km², the Awash River has an annual runoff of 4.6 BM³ (billion metric cubes). However, 72 % of it is lost to evapotranspiration in the lowlands (Taddese et al., 2010).

When it feeds into Gemeri and Afambo lakes, the Awash River has only crossed recent geological formations that are subsequent to the formation of the Oligocene Ethiopian basaltic trap flows. The lower Awash Valley is mainly composed of stratoid basalts formed between 4 and 0.4 Ma (Aylew et al., 2016; Barberi and Varet, 1977; Varet, 2018) and intra-graben Quaternary accumulations which still belong mainly to the Stratoid series group.
## 2.2 Local geomorphological context

The northern part of the Lake Abhe basin is composed of an alluvial plain corresponding to irrigated agricultural fields and extended anthropogenic water channels and a lobate delta in its lower part (Fig. 1b). The remaining edges of the basin are composed of desert plains and basaltic/rhyolitic outcrops that constitute the Tendaho-Gobaad graben horsts (Fig. 1b). The delta fan spreads ~60 km from the northern Gemeri footwall fault through the Gemeri and Bario water-bodies until the slopes of the Dama Ale volcano to the south (Fig. 1b).

The Awash freshwater supplies first reach Lake Gemeri (11°51′N, 41°69′E) and overflow into Lake Afambo (11°40′N, 41°68′E). In contrast to Gemeri, Lake Afambo is not located on the delta fan and does not possess an aerial estuary (Fig. 1b, c). Indeed, Afambo Lake is reached during the dry season by a single water channel and is permanently separated from the deltaic swamps by north-south basaltic outcrops (Figs. 1c, 2a). The rest of the Awash water supply is drained by the delta to the Bario waterbody and to the terminal river channel that flows down to Lake Abhe (Fig. 1b, c).

The local hydrological network led us to select two complementary coring sites for this study; Lake Gemeri, which borders the prodeltaic zone, mostly records the sedimentary signal from fluvial dynamics (Awash River solid load), and Lake Afambo, which is partially disconnected from deltaic dynamics, has the potential to record fine-grained sediment inputs and lacustrine primary productivity processes and to preserve the sedimentary record from hiatuses due to deltaic erosional dynamics.

The hydrological network of the lower Awash River plain has been modified by the building of a dam conducted by the Tendaho Dam and Irrigation Development Project for the agricultural development of this area (Dereje et al., 2018; Kidane et al., 2014). The dam is located upon entry of the Awash River waters into the Lake Abhe basin area (Fig. 1b). The construction project began in 2010, and the dam started functioning in early 2014. Such massive infrastructure has led to the formation of the Tendaho artificial lake (Fig. 1b) and the current network of irrigation channels in the alluvial plain.

# 3 Materials and methods

## 3.1 Analysis of the water surface evolution of Lake Gemeri from satellite images (1984–2019)

We conducted imagery analyses of the water surfaces of lakes Gemeri and Afambo from 1984 to 2021. We used the Global Surface Water dataset from the Copernicus programme, which was generated using 4716475 monthly and sub-monthly scenes from Landsat 5, 7, and 8 acquired between March 1984 and December 2021 by Landsat satel-

lites provided by the USGS and NASA. The dataset contains maps of the location and temporal distribution of surface water from 1984 to 2021 at 30 m resolution and provides statistics on the extent and change in those water surfaces. For more information, refer to the associated journal article by Pekel et al. (2016). From this dataset, we computed statistics about the extent and change in the water surfaces. Using ENVI software, version 5.4, we created a meta-image with the 37 water surface maps from 1985 to 2021 and generated statistics for the meta-image, which were then exported.

However, for the years 1988, 1989, 1990, 1992, 1993, 1996, and 1997, the Global Surface Water dataset algorithm failed to concretely calculate the water surfaces, resulting in imprecise or missing data. As a result, we employed the quality assessment (QA) band in Landsat 5 images which provides information on features such as clouds, shadows, ice, bare land, and water. Classification algorithms were applied to assign binary values to bits in the QA band based on pixel characteristics. By importing archives from the United States Geological Survey (USGS) and utilizing the Pixel_QA band associated with the available images, a water mask was created. This water mask allowed us to perform zonal statistics using ArcGIS Pro 3.0.3.

## 3.2 Seismic survey

In December 2018, a seismic reflection survey was conducted in the southernmost part of Lake Gemeri with the aim of exploring the internal architecture of the lake sedimentary fill and choosing the location of the coring site. The acquisition of 12 seismic profiles of Lake Gemeri (Figs. S1, S2) was performed using an iXBlue Echoes 5000 CHIRP echo sounder (LIENS laboratory, La Rochelle, France). Chirp frequency band 2000–8000 Hz was selected, with a chirp length of 50 m s⁻¹. Chirp data processing included auto-grain control, time-varying gain, staking of adjacent traces, and swell filtering.

## 3.3 Coring of Gemeri and Afambo lakes

In December 2018, 10 short sedimentary cores were retrieved from lakes Gemeri and Afambo during the CLIMA-FAR 2018 fieldwork season. Shorter cores were retrieved using a UWITEC gravity corer, while a homemade, modified Nesje-like corer permitted us to reach slightly more than 2 m sediment depth in Lake Gemeri (Fig. 1c). Details about the coring operations can be found on the French National Cyber Carothèque (https://cybercarothèque.fr/index.php?ope=530, last access: December 2018).

We focused the present study on cores collected in the deepest part of each lake, i.e. GEM18-03 (length 144 cm; IGSN no. TOAE0000000354) and GEM18-04 (209 cm; IGSN no. TOAE0000000356), taken at 6 m water depth in Lake Gemeri, and AFA18-02 (173 cm; IGSN no. TOAE0000000348), taken in Lake Afambo at 18 m water
depth. GEM18-04 was cut into two parts in the field, and only the deepest part (109–209 cm below the lake floor) of the overlapping core, GEM18-03, was studied here. Core sections were split lengthwise, photographed at high resolution, and described and logged in detail using the Munsell colour chart at the EDYTEM sedimentary lab facility. The identification of specific layers on the overlapping sections GEM18-03 and GEM18-04B, together with the comparison of XRF (X-ray fluorescence) core scanner and magnetic susceptibility signals, led us to propose a 2.2 m long composite sediment sequence from Lake Gemeri, hereafter called GEM18-03/04.

## 3.4 Analytical methods

### 3.4.1 XRF core scanner on soft sediments, ICP-MS measurements, and clay mineralogy

To characterize the variation in major elements throughout cores GEM18-03/04 and AFA18-02, we performed non-destructive XRF geochemical analyses on an Avaatech core scanner at the EDYTEM laboratory (CNRS Université de Savoie Mont Blanc, France). The XRF analyses were performed following a 1 mm sampling step for the AFA18-02 section A, 2 mm for the lower section B (live time = 20 s), and 5 mm for the GEM18-03/04 core. At each step, two successive measurements were performed at 10 kV (0.12 mA) and 30 kV (0.15 mA) voltages to assess the contribution of lighter (Al, Si, S, K, Ca, Ti, Mn, and Fe) and heavier (Br, Sr, Rb, Zr, and Pb) elements, respectively. Each individual power spectrum was transformed by deconvolution into relative contents of each computed element expressed in counts per second (cps). XRF data were subsequently transformed with a centred log-ratio transformation package on R© software with the aim of circumventing problems associated with matrix effects (e.g. variable water content and grain size distribution) and irregularities of the core surface (Weltje and Tjallingii, 2008).

Principal component analysis (PCA) was performed on the XRF results using R© software (Sect. S3) with the aim of characterizing the main geochemical signatures of particles composing the GEM18-03/04 and AFA18-02 sediments.

Major and trace element analyses were performed with a quadrupole inductively coupled plasma mass spectrometry (ICP-MS) (AETE-ISO platform; Géosciences Montpellier, France) on 500 mg powdered and homogenized sediment samples for 6 discrete samples in the GEM18-03/04 core and 11 discrete samples from the AFA18-02 core (Rauch et al., 2006).

X-ray diffraction analyses on clay minerals were performed on five samples from the GEM18-03/04 sequence at the LHyGS laboratory CNRS-UMR7517 (Strasbourg, France) (Sect. S6). Sediments were treated with HCl (10%) solution to avoid any carbonate content. Suspended clay fractions were separated following the procedure in Jackson (2005) and mounted on thin sections for oriented clay

XRD (X-ray diffraction) analyses. With the aim of acquiring the whole diffraction spectrum, four diffractograms were obtained using a D8 Advance Eco machine from the same sample with normal treatment, ethylene-glycol treatment, hydrazine treatment, and heat treatment for 4 h at 490 °C. The semiquantitative content of clay minerals (%) was obtained from MacDiff version 4.1.2 software as a counts per second (cps) spectrum area measurement.

### 3.4.2 Sedimentological analyses

Grain size analyses were performed at the Géoazur laboratory using a Coulter LS 2000 with a size range between 0.005 and 3775 µm. The analysis was performed following a 2.5 mm sampling step for the AFA18-02 core. We determined the grain size of the intercepts for 10%, 50%, and 90% of the cumulative grain size curves (named D90, D50, and D10 values; Folk and Ward, 1957). We use the coarsest fraction (D90) to characterize the deposit energy and to propose a hydrodynamic interpretation, as suggested by Wilhelm et al. (2018).

Optical microscopic analyses were focused on eight thin sections (10 × 2 cm) sampled from the AFA18-02 sequence and processed at the litho-preparation facilities of the EDYTEM laboratory (Arnaud and Sabatier, 2022). Microscopic observations were obtained on a Leica DM4 P at the Géoazur Laboratory at 25× and 1000× magnification using plane-polarized (PPL), crossed-polarized (XPL), and oblique incident (OIL) lights. Loss on ignition (LOI) was performed on crushed sediment for each analysed sample at the CEPAM UMR7264 laboratory (Sect. S5). Samples were heated for 24 h at 100 °C with the aim of determining the residual water and gypsum content. Subsequently, samples were heated for 4 h at 550°C with the aim of determining total content measures of organic carbon (Santisteban et al., 2004). LOI is expressed in percentage (%).

### 3.4.3 Chronology of Gemeri and Afambo lake sequences

On the GEM18-03/04 sediment sequence, we combined short-lived radionuclides ($^{210}$Pb and $^{137}$Cs), $^{14}$C measurements, and palaeomagnetic analyses to build a reliable age-depth model along the 2.2 m of the composite section. A continuous sampling step of 6 cm was applied over the uppermost 66 cm of GEM18 to determine $^{210}$Pb and $^{137}$Cs activities using well-type germanium detectors (SAGe well) located below 1700 m of rocks at the Modane Underground Laboratory (CNRS Université Grenoble Alpes) to reduce the influence of cosmic rays on gamma measurements (Reyss et al., 1995). Radionuclide-based age models were computed using the serac R package (Bruel and Sabatier, 2020). For the $^{210}$Pbex model, we chose the CFCS (constant flux–constant sedimentation) model because CRS (constant rate of supply) cannot be applied in this context with regard to (1) the hiatus
(which affects the ²¹⁰Pbex inventory) and (2) the age of the AFA18-02 core which do not allow estimations of the total ²¹⁰Pbex inventory need for CRS model calculation. We did not apply the CIC (constant initial concentration) model because it would have resulted in age inversion with regard to ²¹⁰Pbex fluctuation.

¹⁴C measurements were performed on nine bulk organic matter and four shell samples (Table S10) using the ARTEMIS accelerator mass spectrometry (AMS) facility at the LSCE LMC14 laboratory (Gif-sur-Yvette, France).

Palaeomagnetic measurements were performed on the entirety of the GEM18-03/04 composite section. The principle of the palaeomagnetic method is to compare the declination, inclination, and relative palaeo-intensity (RPI) records from the dated core with a reference curve of the secular variations in the geomagnetic field (Crouzet et al., 2019; Haberzettl et al., 2019; Li et al., 2021; Ólafsdóttir et al., 2013). Measurements were performed at the LSCE on U channels sampled from the centre of the GEM18-03 and GEM18-04B half cores. The direction of the characteristic remnant magnetization (ChRM), assumed to be a detrital remnant magnetization (DRM) acquired during the deposition of the sediment, was determined after the alternating field (AF) demagnetization. The rock magnetic properties were investigated on U channels from measurements of low field susceptibility, acquisition, and demagnetization of anhysteretic remanent magnetization (ARM) and isothermal remanent magnetization (IRM) coupled to thermomagnetic, hysteresis curves and first-order reversal curves (FORCs) on nine discrete samples. The full protocol is detailed in the Supplement (Sect. S4).

The age-depth model of the AFA18-02 sequence was constrained by a combination of short-lived radionuclides, ¹⁴C measurements and visual microscopic counting of seasonal laminae along the core sequence. A continuous sampling step of 10 cm was applied over 173 cm of the AFA18-02 sequence to determine ²¹⁰Pb, ²²⁶Ra, and ¹³⁷Cs activities. The ¹⁴C measurements were performed on nine organic matter samples at the ARTEMIS facility, including two vegetal macro-remains and two fish bone samples using ECHoMICHADAS, the micro-carbon dating system of the LSCE laboratory (Table 1).

## 3.5 Rainfall-runoff modelling

Observed streamflow time series at Tendaho Lake were extracted as daily time steps from the Global Runoff Data Base (GRDB) (station ID 1577603; 11.683°N, 40.950°E; catchment area 62 088 km²; the owner of original data is the Ethiopian Ministry of Water Resources, Hydrology Department). This time series is only available for the 1990–2004 period, with numerous missing data during the 1994–1996 and the 2003–2004 periods. For temporal extension of the streamflow series, a rainfall-runoff model was used. The monthly rainfall-runoff model GR2M (Mouelhi et al., 2006) was used using the airGR R package (Coron et al., 2017,

2023). This conceptual and lumped model needs two continuous climatic time series as inputs, namely precipitation (P) and potential evapotranspiration (E). GR2M has two parameters that need to be calibrated for each studied catchment (see the model diagram in Fig. S3). The NOAA 20CR (v3; Slivinski et al., 2019) climatic reanalysis was extracted over the Awash River catchment at Tendaho Lake to generate a monthly time series of precipitation and air temperature over the 1836–2015 period. A monthly potential evapotranspiration time series was then estimated using the 20CR air temperature time series and the Oudin et al. (2005) formula. The model parameters were automatically calibrated using the Nash and Sutcliffe (1970) objective function over the 1990–2014 period with an initialization of the model reservoirs during the 1980–1989 period. Finally, the GR2M model parameters obtained for the Awash River at Tendaho Lake were used over the 1836–2015 period to simulate streamflow over this period.

# 4 Results

## 4.1 Seismic reflection imagery of Lake Gemeri

Our chirp profiles provide a display of the bathymetry of Lake Gemeri for the first time. The average measured water depth is 3 m with a maximum of 6 m in the southern part of the lake. Afambo Lake is deeper with a maximum depth of 18 m. The shallow depth (3 m on average) and very gentle slope of Lake Gemeri are consistent with its location in the prodeltaic area of the Awash River plain.

Unfortunately, seismic penetration in Lake Gemeri is reduced to a few decimetres. Within the central and eastern parts of the lake, an approximately 80 cm thick upper sheet drape unit lies on a low-amplitude reflector parallel to the lake bottom (profile 006; Fig. 2a, b). On the western part of the Gemeri Lake, the upper sheet drape unit lies on a relatively strong amplitude reflector displaying a succession of small highs and lows (few metres to tens of metres wide and a few decimetres deep), showing the morphology of an erosional surface (profile 009, Fig. 2c). The succession of highs and lows along this erosional surface correspond to small channels indicating periods of drying of the lake. Below these reflectors, an extensive acoustic turbidity facies showing similarities with gassy facies (Bertin and Chaumillon, 2005; Garcia-Gil et al., 2002) is observed. Five measurements of total organic carbon from core GEM18-03 on 2 m of sediment indicate values of approximately 8.5 % (Sect. S5), which suggests that the gas could have come from the decomposition of organic matter (algae or upper vegetation) in the lake. The presence of gas in the Lake Gemeri sediment is likely, given the high organic productivity in this lake and the high content in organic matter in the sampled sediments and sequestration of organic matter that often occurs in anoxic fine sediments (Bertin and Chaumillon, 2005; Garcia-Gil et al., 2002; Roussel et al., 2009).
<table><caption>**Table 1.** Major and trace element concentrations of the AFA18-02 core. F is for facies, and ppm is for parts per million.</caption><thead><tr><th rowspan="2">Depth (cm)</th><th rowspan="2">F</th><th>Na<sub>2</sub>O</th><th>MgO</th><th>Al<sub>2</sub>O<sub>3</sub></th><th>K<sub>2</sub>O</th><th>CaO</th><th>TiO<sub>2</sub></th><th>MnO</th><th>P<sub>2</sub>O<sub>5</sub></th><th>SiO<sub>2</sub></th><th>Fe<sub>2</sub>O<sub>3</sub> (T)</th><th>Cr</th><th>Ni</th><th>Ba</th><th>Zr</th><th>Sr</th></tr><tr><th>%</th><th>%</th><th>%</th><th>%</th><th>%</th><th>%</th><th>%</th><th>%</th><th>%</th><th>%</th><th>%</th><th>ppm</th><th>ppm</th><th>ppm</th><th>ppm</th><th>ppm</th></tr></thead><tbody><tr><td>12</td><td>F1</td><td>1.97</td><td>4.62</td><td>13.13</td><td>1.85</td><td>6.30</td><td>1.50</td><td>0.10</td><td>0.28</td><td>45.80</td><td>9.57</td><td></td><td></td><td></td><td></td><td>271.65</td><td>423.40</td></tr><tr><td>39</td><td>F1</td><td>1.69</td><td>4.44</td><td>12.79</td><td>1.83</td><td>6.27</td><td>1.21</td><td>0.11</td><td>0.28</td><td>43.42</td><td>8.67</td><td>71.83</td><td>70.30</td><td>306.67</td><td>266.19</td><td>430.11</td><td></td></tr><tr><td>72</td><td>F2</td><td>1.32</td><td>4.35</td><td>10.60</td><td>1.43</td><td>14.16</td><td>1.06</td><td>0.11</td><td>0.26</td><td>36.48</td><td>7.30</td><td>59.87</td><td>56.34</td><td>371.84</td><td>221.51</td><td>847.12</td><td></td></tr><tr><td>73</td><td>F1</td><td>1.61</td><td>4.17</td><td>12.55</td><td>1.83</td><td>7.51</td><td>1.48</td><td>0.12</td><td>0.27</td><td>42.86</td><td>8.73</td><td>72.51</td><td>61.19</td><td>319.30</td><td>268.68</td><td>450.51</td><td></td></tr><tr><td>90</td><td>F1</td><td>1.39</td><td>4.08</td><td>11.78</td><td>1.92</td><td>8.37</td><td>1.14</td><td>0.10</td><td>0.26</td><td>42.62</td><td>8.26</td><td>72.86</td><td>62.70</td><td>287.74</td><td>254.22</td><td>480.19</td><td></td></tr><tr><td>100</td><td>F1</td><td>0.69</td><td>3.34</td><td>12.12</td><td>1.47</td><td>9.47</td><td>1.13</td><td>0.17</td><td>0.26</td><td>41.62</td><td>8.21</td><td>71.16</td><td>66.15</td><td>300.95</td><td>247.09</td><td>397.81</td><td></td></tr><tr><td>127</td><td>F3</td><td>0.96</td><td>5.28</td><td>6.67</td><td>1.01</td><td>23.79</td><td>0.67</td><td>0.14</td><td>0.19</td><td>25.11</td><td>4.57</td><td>39.57</td><td>40.49</td><td>399.08</td><td>136.28</td><td>1545.29</td><td></td></tr><tr><td>132</td><td>F2</td><td>1.34</td><td>4.93</td><td>10.58</td><td>1.53</td><td>10.39</td><td>1.24</td><td>0.11</td><td>0.25</td><td>37.96</td><td>7.42</td><td>67.73</td><td>62.20</td><td>351.79</td><td>227.72</td><td>706.21</td><td></td></tr><tr><td>148</td><td>F1</td><td>1.65</td><td>4.18</td><td>12.78</td><td>1.86</td><td>8.08</td><td>1.69</td><td>0.14</td><td>0.28</td><td>43.70</td><td>8.89</td><td>83.73</td><td>65.71</td><td>367.12</td><td>263.87</td><td>505.26</td><td></td></tr><tr><td>152</td><td>F1</td><td>1.58</td><td>4.47</td><td>12.64</td><td>1.89</td><td>6.93</td><td>1.55</td><td>0.12</td><td>0.26</td><td>43.45</td><td>8.82</td><td>82.59</td><td>63.67</td><td>329.38</td><td>266.35</td><td>454.91</td><td></td></tr><tr><td>168</td><td>F1</td><td>1.38</td><td>5.81</td><td>11.69</td><td>1.78</td><td>5.99</td><td>1.13</td><td>0.10</td><td>0.23</td><td>41.84</td><td>7.80</td><td>69.70</td><td>63.29</td><td>285.02</td><td>246.98</td><td>523.07</td><td></td></tr></tbody></table>

<figure><img src="image_4.png" /><figcaption>**Figure 2.** Seismic reflection imagery on Lake Gemeri. (a) 3D satellite image projection of southern Lake Gemeri (LANDSAT) with the location of the seismic profiles and of the cores reported in panels (b) and (c). (b) Seismic profile 006 with the location of GEM18-03 core (blue arrow). (c) Seismic profile 009 with the location of GEM18-07 core (blue arrow) and of channel features (red arrows).</figcaption></figure>

## 4.2 Sedimentology and geochemistry results

### 4.2.1 AFA18-02

The 173 cm long sediment of AFA18-02 consists of undis-
turbed laminated sediments showing a clay-silty texture
(Fig. 3a1). A median size of 3 and 7 µm was measured at
2 mm resolution along the 173 cm of the core, indicating that
the lake's sedimentation did not record any extreme coarse or
erosional event (Fig. 3a5). Along the core, the first striking
characteristic of this sequence is the succession of a couple
of distinct facies systematically composed of brownish-grey
coloured pluricentimetric layers (Facies-1, F1) alternating
with orange/brown coloured plurimillimetric layers (Facies-
2, F2) and sometimes associated with millimetric white beds
(Facies-3, F3; Figs. 3a1, 4b1). Thus, 32 couplets were iden-
tified over the entire 173 cm sediment sequence.

The major element distribution measured for 11 discrete
samples (Table 1) indicates SiO₂ values oscillating between
25% and 46%, TiO₂ values between 0.7% and 1.7%, and
a high concentration of iron of approximately 8%. Carbon-
ate content values oscillate between 6% and 24% (Table 1).
From the discrete samples, the coefficient of correlation be-
tween Ca and Sr is R² = 0.97. This suggests that the source
of the carbonaceous component does not change along the
173 cm sediment. Using PCA analyses, three geochemical
end members from Dim.1 (53% and 67%) or Dim.2 (23%
and 43%) were distinguished (Fig. S4). The first one (EM1)
yields major elements Al, Si, Fe, Ti, K, Zr, and Mn with high
positive loading on Dim1. The second end-member (EM2)
gathers elements composing carbonates (Ca and Sr) and el-
ements involved in the evaporitic succession of minerals (S,
Mg, and Na) with high positive loading on Dim2 and posi-
tive loading on Dim1. The third end-member (EM3) includes
<figure><img src="image_5.png" /><figcaption>**Figure 3.** Geochemical (XRF and ICP-MS) and sedimentological results on AFA18-02 core. (a1) Picture and lithology with the location of the sampling areas for ICP-MS analyses (dots). (a2) Ca XRF (CLR) values. (a3) Sr XRF (CLR) values. (a4) Ti XRF (CLR) values. (a5) Grain size median. (b1) Correlation plot between Ca XRF (CLR) and ICP-MS (CLR) values. (b2) Correlation plot between Sr XRF (CLR) and ICP-MS (CLR) values. (b3) Correlation plot between Ti XRF (CLR) and ICP-MS (CLR) values.</figcaption></figure>

only Br negative loading on Dim1 and Dim2, which is often used as a proxy for autochthonous organic matter in lakes (Bajard et al., 2016; Lefebvre et al., 2021). The PCA factor map ascribes F1 layers into the EM1 area and the F2/F3 layers into the EM2 area (Fig. S5). Consequently, we selected Ti, Sr, and Ca to geochemically characterize the F1 and F2/F3 facies. A good plot correlation between the centred log-ratio transformation (CLR) XRF and ICP-MS-measured elemental values (Fig. 3b) provides reliable Sr and Ca XRF data to geochemically characterize the three different sedimentary facies along the core sequence. F1 is composed of microlaminated clays enriched in Ti, Si, and Fe elements

(Fig. 3b3). The F1 thickness varies substantially along the core, with an average thickness of ~3 cm between 173 and 137 cm, a thickness of ~1 cm between 137 and 120 cm, a thickness of 3.5 cm between 120 and 80 cm, and a thickness of ~9 cm between 80 and 0 cm. F2 (0.5–1 cm thickness) is composed of microlaminated clay, diffused secondary carbonate impregnations (sparite), and sporadic Fe–Mn nodules. Geochemically, the F2 layers are slightly enriched in Ca and Sr elements (Fig. 3a, b). F3 (0.3–0.5 cm thickness) is composed of a massive to microlaminated micritic/sparitic matrix strongly enriched in Ca and Sr elements (Fig. 3a, b, 7b1). Soft sediment deformation has been observed between
130 and 140 cm, evident in sub-vertical microfaults along the laminaes, showing a max deformation offset of ~3 mm.

Grain size distributions indicate three general dominant modes, with one sorted clay mode at approximately 1 to 2 µm, one well-sorted mode at approximately 19 µm, and the third is less dominant and lies in the portable silt range at approximately 50 µm (Fig. 4b3).

F1 layers present pronounced 1–2 and 50 µm modes, with the second represented mode at 19 µm. F2 and F3 are well sorted at approximately 40 and 126 µm.

### 4.2.2 GEM18-03/04

The sediment of GEM18-03/04 is homogeneously clayey (Q50 = ~2.4 µm) and dark brown in colour (Fig. 5) all along its 220 cm length. The first 15 cm are highly liquefied, presenting a clayey texture with slight laminations. Between 19 and 40 cm, we note the presence of polyhedral clay structure and rootlets pores. Between 38 and 222 cm, we observed a homogenous clay texture interbedded by seven layers of lacustrine shells (*Melanoides tuberculata*), leading to a visible change in porosity at approximately 62–67, 80, 90, 112–114, 124, and 140 cm (Fig. S13).

The major element distribution (measured for five samples by ICP-MS; Tables S7, S8) indicates $SiO_2$ values between 42% and 49% and $TiO_2$ values between 1.2% and 1.5%. The carbonate content values oscillate between 5% and 10% (Tables S7, S8). The plots Si versus Al and Al versus Ca indicate an anticorrelation between terrigenous and carbonate materials (Fig. S14), suggesting that the carbonate particles mainly originated from the lake and not from the terrigenous fraction supplied by the Awash flood. Similarly, the coefficient for Ca versus Ti is anticorrelated; consequently, we will represent the ratio of terrigenous/authigenic sediment components using the Ti/Ca ratio (Croudace and Rothwell, 2015).

The evolution of the Log(Ti/Ca) ratio defines five geochemical units (Fig. 5b1). Unit 1 (0 to 19 cm) is characterized by a gradual increase in Log(Ti/Ca) values. Unit 2 (40 to 19 cm) is characterized by a gradual increase in siliciclastic elements; Unit 3 (115 to 40 cm) presents an abrupt decrease in Log(Ti/Ca) at its base, followed by a progressive increase in Ti; Unit 4 (210 to 115 cm) is characterized by a high lithogenic contribution; and Unit 5 (222 to 210 cm) presents a high carbonate content. Between 38 and 222 cm, seven shell beds are characterized geochemically by an increase in Ca and Sr values (Fig. S13).

## 4.3 Chronology

### 4.3.1 Age model of Lake Afambo sediments

The 173 cm long AFA18-02 sediment was measured using gamma spectrometry to build an age model based on short-lived radionuclides (Fig. 4a2, a3). The $^{210}$Pb excess profile first shows a slow decrease from the top to 105 cm and then

a more rapid decrease between 105 and 170 cm until an activity of 26 mBq g$^{-1}$. The use of a logarithmic scale to plot these data underscores a poorly constrained ($r^2$ = 0.2; related to very high sedimentation rate leading to low activity decreases) single-point alignment that shows a constant sedimentation rate of 108 mm yr$^{-1}$ for the first 105.8 cm and a better constrained ($r^2$ = 0.6) single-point alignment that shows a constant sedimentation rate of 16.5 mm yr$^{-1}$ between 106 and 170 cm. The change in sedimentation rate occurred in 2009 ± 7 years. The $^{137}$Cs profile shows an increase at the bottom of 4 mBq g$^{-1}$. This peak could be associated with the end of maximum nuclear weapon tests in 1963 CE (Foucher et al., 2021; Fig. 4a3).

Among the 13 samples for $^{14}$C ages (Table 2), the confrontation with the $^{210}$Pbex model shows that the $^{14}$C age measured on the bulk sediment organic matter was older, so these ages were systematically rejected (see the asterisk (*) in Table 2). The older ages could be explained by the contamination of reworked micro-organic matter particles from the Awash River catchment. The ageing of radiocarbon dates on bulk organic matter in large fluvial systems, such as the Awash River basin, is often attributed to the remobilization of fine organic particles from older deposits and soils eroded along the hydrographic catchment (Poirier et al., 2019). These particles are then deposited into terrigenous/detrital lacustrine sediments. In the case of Afambo Lake sediments, the ages of bulk organic carbon exhibit an ageing effect ranging between approximately 100 and 600 years. Considering that the organic matter originates from flood deposits during the monsoonal season (F1 facies), the hypothesis of remobilized fine particles is the most probable explanation. A number of $^{14}$C analysis was measured on fish bones and on vegetal micro-remains obtained from the micro-sampling materials (Fig. S15 and Table S9). The five ages measured from fish bone and vegetal micro-remains are consistent with the $^{210}$Pb-derived chronology and are considered viable as part of the age model (Fig. 4a4). In total, 32 F1–F2/F3 laminae couplets were identified and counted, which provides a 106 mm yr$^{-1}$ sedimentation rate that is highly comparable with the rate derived from the CFCS model (108 mm yr$^{-1}$; Fig. 4a2). Thus, the $^{210}$Pb-derived age model confirms that a very high sedimentation rate compatible with the F1 layers could correspond to one season of river-borne discharge.

### 4.3.2 Age model of Lake Gemeri

The upper 66 cm sedimentary sequence of the GEM18-03 core was measured using gamma spectrometry to build an age model based on short-lived radionuclides (Fig. 5a1, a2). The $^{210}$Pb ex profile shows a gradual decrease from 51.8 to 7 mBq g$^{-1}$. The use of a logarithmic scale to plot these activities underscores a well-constrained ($r^2$ = 0.8), single-point alignment that shows a sedimentation rate of 13.66 mm yr$^{-1}$ for the first 66 cm (Fig. 5a2). The $^{137}$Cs profile reaches a clear peak between 42 and 48 cm with a maximum activ-
<figure><img src="image_6.png" /><figcaption>**Figure 4.** Age model of the AFA18-02 sequence. (a1) Lithology. (a2) $^{210}$Pbex activity profile (mBq g$^{-1}$). (a3) $^{137}$Cs activity profile (mBq g$^{-1}$). (a4) Interpolated CFCS age model with annual laminae counting (crosses) and radiocarbon ages (red arrows). (a5) XRF log(Ti/Sr) ratio transformed with a centred log-ratio transformation package (Weltje and Tjallingii, 2008). (b1) Focus on 124–140 cm F1–F2/F3 couple counting. (b2) XRF Ti/Sr (124–140 cm) ratio curve with radiocarbon ages (red) and years (CE)/laminae counting. (b3) The 124–140 cm grain size profiles (each 2 mm).</figcaption></figure>

ity > 10 mBq g⁻¹. This peak is attributed to the maximum
nuclear weapon tests in 1963 CE (Foucher et al., 2021) and
is in accordance with the sedimentation rate derived from the
²¹⁰Pbex profile (Fig. 5a2). Above this peak, ¹³⁷Cs activities
slowly decrease, which suggests a large catchment area with
an input of ¹³⁷Cs already deposited in the surface soil and
transported by active annual floods (Fig. 5a3). With the aim
to provide a reliable chronology, a sedimentary–pedogenic
hiatus between 1991 and 1997 has been removed from the
age model (Figs. 5a4, 6a2).

Among the 13 ¹⁴C age samples (Sect. S9), the confronta-
tion with the ²¹⁰Pb CFCS-derived chronology shows that the
¹⁴C ages measured on organic matter are older by several
thousands of years and are therefore rejected with regard to
the age model, such as is the case for eight ages on bulk sedi-
ment for the Afambo core age model (Table 2). The five ages
measured on lacustrine shells (*Melanoides tuberculata*; Mur-
ray, 1975) are still older than expected, except for the age at
48.5 cm (Table S10).
<figure><img src="image_7.png" /></figure>

**Figure 5.** (a1) GEM18-03 upper section (first 66 cm) picture and lithology. (a2) $^{210}$Pbex and (a3) $^{137}$Cs profiles. NWT is for nuclear weapons test; FF = FF 1955 is for first identification of 137Cs in 1955. (a4) CFCS interpolated age model. (a5) Log(Ti/Ca) XRF count intensity. (b1) GEM18-03/04B composite section with Log(Ti/Ca) XRF count intensities. Correlation between (b2) relative palaeo-intensity, (b2) inclination, and (b2) declination measured on GEM18-03/04B, with the (b5–b7) prediction at Lake Gemeri of three geomagnetic global models of BIGMUDIh.1 (in blue; Arneitz et al., 2021), gufm (in red; Jackson et al., 2000), and SHAWQ2k (in purple; Campuzano et al., 2019). The BIGMUDIh.1 and SHAWQ2k.1 models are plotted with their $1\sigma$ uncertainty envelope. The correlation is preferentially based on the BIGMUDIh.1 model (see text). For GEM18-03/04B, green and orange thick lines are raw results on GEM18-03 and GEM18-04B sections, respectively, while the thinner black curves show the variation after smoothing with 8 cm sliding windows. The two chronological tie points are given by RPI, while the secular variation in the declination, and to a lesser extent of inclination, is likely masked by disturbances during coring.

To better constrain the age model and investigate the sedimentation rate below the first 66 cm dated by short-lived radionuclides, we performed palaeomagnetic measurements with the objective of providing chronomarkers in accordance with the palaeosecular variation in the geomagnetic field over the last millennium (Fig. 5b; Crouzet et al., 2019). The rock magnetic and palaeomagnetic results are detailed in Sect. S4. All rock magnetic results converge towards a homogeneous ferromagnetic mineralogy below 40 cm, composed of an almost pure magnetite of relatively fine grain size (pseudo-

single domain). As the concentration in magnetic grains also does not vary significantly along the core, the magnetic properties are very favourable for the determination of the relative palaeo-intensity (RPI; Fig. 5b4). The RPI results with the three possible normalizers (intensity of ARM and intensity of IRM (low-field susceptibility)) are consistent, giving us confidence in our RPI estimation, even though it is based on only one core (Fig. 5b). The variations in the declination, inclination, and RPI below 40 cm are plotted in Fig. 5b2 and b3. They are compared to the prediction at Lake Gemeri of
<table><caption>**Table 2.** List of radiocarbon ages on bulk sediment (*), vegetal micro-remains, and fish bone material. Ages with an asterisk* are rejected. Calibration curve NH₂ (Hua et al., 2013). Note that BP stands for before present.</caption><thead><tr><th rowspan="2">Depth (cm)</th><th rowspan="2">Lab ID</th><th rowspan="2">Material</th><th colspan="2">Uncalibrated age</th><th colspan="2">Calibrated ages</th></tr><tr><th>BP ± years (bulk)</th><th>F<sup>14</sup>C ± (%)</th><th>2σ cal. CE (probability)</th><th>Median cal. CE</th></tr></thead><tbody><tr><td>10.5–11</td><td>SacA57084</td><td>Bulk sediment</td><td>315 ± 30*</td><td></td><td></td><td></td></tr><tr><td>44</td><td>SacA57085</td><td>Bulk sediment</td><td>640 ± 30*</td><td></td><td></td><td></td></tr><tr><td>61</td><td>GifA20055/ECHo3328</td><td>Fish bone</td><td></td><td>1.0456 ± 0.0029</td><td>[2008.88–2009.58] (30.3 %)</td><td>2008</td></tr><tr><td>61</td><td>SacA59130</td><td>Bulk sediment</td><td>610 ± 30*</td><td></td><td></td><td></td></tr><tr><td>76</td><td>SacA57086</td><td>Bulk sediment</td><td>365 ± 30*</td><td></td><td></td><td></td></tr><tr><td>92</td><td>SacA57087</td><td>Bulk sediment</td><td>165 ± 30*</td><td></td><td></td><td></td></tr><tr><td>118–122</td><td>GifA20052/ECHo3259</td><td>Vegetal micro-remains</td><td></td><td>1.0940 ± 0.0179</td><td>[1993.78–2007.1] (90.3 %)</td><td>2000</td></tr><tr><td>134.5–135</td><td>SacA57088</td><td>Bulk sediment</td><td>post 1950*</td><td></td><td></td><td></td></tr><tr><td>134–136</td><td>GifA20053/ECHo3260</td><td>Vegetal micro-remains</td><td></td><td>1.1364 ± 0.0123</td><td>[1989.86–1996.94] (89.3 %)</td><td>1992</td></tr><tr><td>149.5</td><td>GifA20056/ECHo3327</td><td>Fish bone</td><td></td><td>1.2069 ± 0.0031</td><td>[1984.82–1986.45] (52.8 %)</td><td>1985</td></tr><tr><td>150</td><td>SacA59131</td><td>Bulk sediment</td><td>320 ± 30*</td><td></td><td></td><td></td></tr><tr><td>165.5–166.5</td><td>GifA20054/ECHo3261</td><td>Vegetal micro-remains</td><td></td><td>1.2357 ± 0.0133</td><td>[1980.8–1985.76A] (59.9 %)</td><td>1982</td></tr><tr><td>165.5–166</td><td>SacA57089</td><td>Bulk sediment</td><td>post 1950*</td><td></td><td></td><td></td></tr></tbody></table>

three geomagnetic global models, namely gufm (Jackson et al., 2000), SHAWQ2k (Campuzano et al., 2019), and BIG-MUDIh.1 (Arneitz et al., 2021; Fig. 5b5 and b6).

The correlation between the GEM18-03/04B results and the model is not straightforward. However, <sup>137</sup>Cs and <sup>210</sup>Pbex results from the top of the core allow us to propose a more solid chronological framework of the sedimentary sequence. The almost continuous decrease in declination along the core could suggest that the 190–222 cm depths could correspond to circa 1700 CE. However, the amplitude of the decrease at approximately 40° is much larger than that in the models (approximately 15°), and we strongly suspect that the declination record is biased by a slight progressive rotation feature during coring. Short-inclination oscillations in the core are not recognized in the model. Neither the inclination minimum at approximately 1840 CE nor the previous fast and regular decrease from 1630 CE is clearly visible in GEM18-03/04B. Higher inclination values are in accordance with the model between 130 and 160 cm.

The period of higher intensity between the middle of the 15th century and the first half of the 17th century CE appears to be recorded between 170 and 125 cm in GEM18-03/04B. This feature could provide two chronometers to establish the age model, with 120–130 cm corresponding to 1600–1650 CE and 167–177 cm to 1430–1460 CE. These two proposed tie points are rather consistent with inclination variations because higher values of this parameter are observed in the two ranges of depth and age. The values of correlated depths and ages should be considered approximate regarding the envelope error in the model and because the predictions of global models are generally less reliable in intensity than in declination and inclination (e.g. Brown et al., 2021).

Palaeomagnetism measurements based on a single core cannot provide a solid and high-resolution age model. However, the correlation with short-lived radionuclide measurements on GEM18-03 and with the AFA18-02 age model allows us to propose some reliable links with the Awash River hydrosedimentary chronicles which are at decennial resolution. The palaeomagnetic measurements provide confirmation that <sup>14</sup>C ages from GEM18-03/04B are too old and that these sediments do not exceed the last millennium.

## 4.4 Changes in water surface area at lakes Gemeri and Afambo (1985–2019)

Since 1984, Landsat satellite image data have indicated that Lake Afambo experienced several hydrological fluctuations without a complete drying of the lake. In contrast, Lake Gemeri partially dried up, starting in 1984, with a total drying up of the lake between 1990 and 1998 (Fig. 6; see Figs. S18 to S20 for details). Then, between 1999 and 2000, the lake was completely refilled. Comparisons between hydrological, geophysical, sedimentological, and geochemical data will be discussed in the next paragraphs; palaeolimnological and hydrological results from satellite image analyses might not be perfectly linearly correlated due to sedimentary avulsions and Earth surface processes along the river course and between the two lakes (Phillips, 2003). Additionally, such an
offset can be attributed to the combined $^{210}$Pb and $^{137}$Cs, counting couplets, and radiocarbon age model errors which can span from 1 to 7 years.

# 5 Discussion

## 5.1 AFA18-02 F1 and F2 significance

### 5.1.1 F1 interpretation

In the geological context of the Afar depression and Main Ethiopian Rift (MER), Si, Ti, and Ca (wt%) values of AFA18-02 and GEM18-03/04B are compared with the same values of 11 mud samples from the Blue Nile headwater catchment (Bastian et al., 2019) and with 20 basalt samples from the Afar and MER regions (Ayalew et al., 2016), corresponding to the sources of the Awash River catchment (Fig. 7). The Lake Afar sediments are well ranged in SiO₂ (wt%) values and partially included within the TiO₂ (wt%) values of the Ethiopian trap basalts and sediment sources, indicating that the origin of the terrigenous inputs into the lakes is mainly represented by the solid discharge of the Awash River catchment. The ~0.1% offset between the Lake Afar sediments and the Ethiopian river sediments and basalts can be attributable to a granulometric sorting effect. Similarly, the lithogenic signature originating from the erosion of straitoid basalt series along the Awash River catchment is confirmed by the ferromagnetic mineralogy of GEM18-03/04B composed of almost pure magnetite (see Sects. 4.3.2 and S4).

Thick layers, high organic matter content, coarser grain sizes (D90 peaks of 25–30 µm) dominated by terrigenous elements (Si, Ti, and Fe; Fig. 7a; EM1 PCA; Sect. S3) characterize the F1 facies, interpreted as a product of sedimentary load inputs from the Awash River during the wet season, which is associated with the increase in monsoonal precipitation between March and August over the catchment sources located in the Ethiopian Highlands. The F1 patterns indicate that the solid load inflow during the wet season corresponds to the formation of a particle suspended plume into the lake waters. The lack of erosion features, the disconnection from deltaic geomorphic dynamics, and the regular mode of sedimentation (seasonal) indicate that Afambo is a basin characterized by yearly cyclic hydrosedimentary functioning.

### 5.1.2 F2 and F3 interpretation

The F2 and F3 facies appear to be enriched in CaO of ~10 wt% and ~24 wt%, respectively, and in Sr of ~800 and ~1500 ppm, respectively, as part of the EM2 of XRF PCA (Sect. S3). Differences between F2 and F3 are related to the CaO content. F2 is whitish-brown with a CaO ranging between ~10 wt% and ~15 wt%; F3 is white with a ~24 wt% CaO content. Microscopically, such enrichment is observable in the precipitation of sparitic and micritic minerals, showing an interruption of the microlaminated structure typical of F1 (Fig. 7b2) and suggesting a sedimentation

mode and carbonate mineral formation disconnected from the Awash River terrigenous inputs and from suspension/sedimentation of fine particles in the lake. Moreover, F2 and F3 are clearly disconnected from the regional mineralogical source cortege (Fig. 7a2 and a3), indicating how such minerals originate from lacustrine authigenic activity. Under high evaporation conditions during the dry season, sparitic minerals can be produced directly by chemical or biogenic precipitation into the lake.

Authigenic minerals precipitate when the evaporation rate exceeds the water inflow rate into the lake, leading to a switch from a terrigenous sedimentation pattern to the carbonate mineral precipitation mode. Considering high evaporation rates over the Lake Abhe basin (~2000 mm yr⁻¹; Fig. 1e) which are concentrated during the dry season where there is low water inflow, the authigenic precipitation of Ca and Sr can represent the direct results of highly saturated waters and related evaporative processes (Cohen, 2003; Kylander et al., 2011; Martín-Puertas et al., 2011). Indeed, Ca and Sr are related to intra-lake precipitation of CaCO₃ with Sr and Ca substitution. This substitution occurs when the chemical concentration of lake waters reaches the point of carbonate saturation, as when lake waters are submitted to a lowering of lake levels (Cohen, 2003). Accordingly, lake surface analyses show that enriched Ca and Sr layers are concomitant with a lowering in the Gemeri and Afambo lake levels (Fig. 6a2). Consequently, F2 and F3 have been interpreted as the occurrence of dry seasons along the Awash River catchment over the last 50 years, and Ca and Sr elemental values can be used as a marker of drought intensity.

## 5.2 Hydrosedimentary mechanisms between Gemeri and Afambo lakes

Despite their proximity, Gemeri and Afambo lakes present divergent patterns of sedimentation, suggesting interdependent and complementary hydromechanisms. Located on the prodeltaic front, Lake Gemeri is the first and main receiver of the Awash River waters and sediment, which then overflow into the Afambo basin (Fig. 1). Surprisingly, the $^{210}$Pb/xen活 activities of both lakes indicate a higher average sedimentation rate in Lake Afambo (~10 cm yr⁻¹) than in Lake Gemeri (~1.36 cm yr⁻¹).

Lake Gemeri is characterized by a shallow-water column (average of ~3 m depth measured during the coring and seismic reflection imagery acquisition) in which the extension of the proximal seismic facies into the central part of the basin is observed. Such evidence suggests how the inputs of the inflow waters create sediment plumes that have expanded in three dimensions from the tributary mouth towards the basin floor. Furthermore, the main homogeneous (non-laminated) structure of the deposits (Fig. 5) suggests the input of continuous turbidity currents (no variability in density) from the Awash River waters. Such specific depositional patterns (deposit spatial geometry and sedimentary structure)
<figure><img src="image_8.png" /><figcaption>**Figure 6.** Hydrosedimentary variability in lakes Gemeri and Afambo during the last 50 years. (a1) Ti/Ca XRF ratio of GEM18-03 sequence. (a2) Ti/Ca XRF ratio of AFA18-02 sequence. (a3) AFA18-02 sedimentation rate. (a4) Lake level area changes since 1985 at Afambo and Gemeri. (b) Map of lake area changes in 1985, 1991, 2000, and 2014 CE. White is for no water, light blue is for 1 month of water (temporary water), blue is for 12 months of water (permanent water), and grey is for no data.</figcaption></figure>

are attributable to homopycnal-like sedimentation in which the density of the suspended sediment flow is equal to that of the lake water (Bates, 1953; Chapron et al., 2007). In the absence of water stratification, homopycnal conditions imply the homogeneous mixing of river and lake waters throughout the whole water column by advection processes (Ashley, 2002; Bates, 1953; Chapron et al., 2007). In terms of depositional processes, the occurrence of a homopycnal plume implies a short residence time of water and solid suspended loads in lake waters, leading to reduced sedimentation on the basin floor (Campos et al., 1989) and the development of contrasting sedimentation patterns between proximal and distal basins (Chapron et al., 2006, 2007). Accordingly, most of the solid load transits through Lake Gemeri, producing a low sedimentation rate and erosive facies observed from seismic profiles, which have not been recognized in the distal Lake Afambo basin (Fig. 2c). Furthermore, the shallow-water patterns of Lake Gemeri (~3 m average water column depth) can promote the resuspension of the lake bottom sed-

iments after the river floods or during wind-generated wave action, reducing the sediment accumulation.

At 17 m water depth (coring site), Lake Afambo sediments show seasonal laminated structures (F1 and F2/F3). Facies alternation, as well as the microlaminated structure documented in the F1 layers (Fig. 7b3), indicates the occurrence of rapid decantation processes shortly after each flood, thus suggesting slight water column stratification and a difference between freshwater inputs and lake water density. Particle sedimentation velocities calculated with Stokes’ law confirm such observations, providing a mean of ~3 d for the particle-to-sediment ratio in Afambo Lake (Table S11). Such sedimentary patterns combined with the absence of erosive or turbiditic events suggest a hypopycnal character of the inflow waters/solid load into Afambo Lake. Hypopycnal plume formation at the tributary mouth of Lake Afambo can be made possible by the decrease in the current energy flow and by the loss of density of the waterfront by the trapping of fine sediments into the deltaic marshes occurring between the two
<figure><img src="image_9.png" /><figcaption>**Figure 7.** Geochemical and microscopic analyses and interpretation of F1, F2, and F3 facies. (a1, a2, a3) SiO₂ / TiO₂, CaO / TiO₂, and CaO / SiO₂ plots, respectively, of central Lake Afar sediments (black, orange, and grey dots; this study), Blue Nile catchment river muds (green dots; Bastian et al., 2019), and Afar and Main Ethiopian Rift basalts (brown dots; Ayalew et al., 2016). (b1) Focus scan of section 125–128 cm depth of AFA18-02 core (XPL). (b2) Microphoto of F3 facies (XPL). (b3) Microphoto of F1 facies (PPL).</figcaption></figure>

lakes (Fig. 1). Accordingly, the <3.9 µm fraction is repre-
sented by 60%-80% in Lake Gemeri and by 20%-35% in
Lake Afambo (Figs. S16 and S17). Other factors that could
influence the formation of hypopycnal plumes in Afambo
Lake are the reduced energy flow into the lake waters due to
the endorheic patterns of the basin (no outflow towards Lake
Abhe) and a larger water column depth. Moreover, we can-
not exclude that the larger accommodation space in Afambo
Lake may explain the higher sedimentation rate.

The general hydrosedimentary modes of functioning of the
two basins indicate the following: (a) a first prodeltaic basin
(Gemeri) with lower sedimentation rates, a dominant clayey
texture, erosive processes, and deltaic-dynamics-dependent
soil, which has recorded the general trends (centennial) of
hydrological fluctuations in the Awash catchment over a long
period (~700 years) in our study; (b) a second distal basin
(Afambo) with higher sedimentation rates, clayey texture,
and seasonal F1 and F2/F3 deposits, which records, in high-
resolution (interannual), the hydrological fluctuations in the
Awash River catchment during a short period (~50 years).

5.3 Multicentennial hydrosedimentary trends from Lake Gemeri sediments

Similar to AFA18-02, PCA on XRF data of the Gemeri
sequence (Fig. S6) shows three main geochemical end-
members: the terrigenous one composed of Ti, Si, Al, K, Zr,
Fe, Mn, and Mg; the evaporitic (Ca and Sr); and the organic
component (S and Br). Diachronic variations in these main
components along the GEM18-03/04 core allow us to define
two kind of periods. "Humid pluriannual periods" are char-
acterized by high terrigenous content such as Ti from the
high water flow activity of the Awash River. Contrastingly,
"drier pluriannual periods" are characterized by the enrich-
ment of Ca and Sr element values interpreted as evapora-
tive processes as a result of higher evaporation and reduced
water inflow into the lakes. Thanks to the composite short-
lived radionuclides and palaeomagnetism age model on the
GEM18-03/04 sequence, we are able to discuss the general
hydrological trends (centennial resolution) for the period be-
tween 1300 and 1964 CE.

Between 1300 and 1650 CE, relatively high and constant
Ti/Ca ratio values were recorded (Fig. 5b1). This indicates
that this period is characterized by high detrital inputs into
the Lake Abhe basin, likely induced by water inflow processes over the Awash River basin. Following a drop in the Ti proxy between 1650 and 1750 CE, the catchment could have experienced a gradual increase in water and solid load flow until 1964 CE, as deduced from the increase in Fe, Ti, and Si elemental content. The last decade (1964–1968 CE) is thus characterized by higher solid-load supplies compared to the following periods. Geomorphologically, during such a decade, the Awash palaeo-delta was likely characterized by an anastomosing river network pattern that fed the prodeltaic lakes and marshes from the southwest to the northeast of the alluvial plain (Fig. 8a).

## 5.4 ~50-year-long seasonal drought and flood chronicle from Lake Afambo

In the AFA18-02 core, F1 and F2/F3 layers are interpreted as a result of the sedimentary interannual response of central Afar Lake basins to the wet and dry seasonal discharge of the Awash River. Thanks to the multiproxy geochronological approach, we are able to propose a solid age model covering the period between 1969 and 2019 CE.

The aim of this section is to provide a chronicle of wet- and dry-season magnitude for the last ~50 years across the Awash River basin through (a) the estimation of the wet season inflow intensity recognized in F1 layers and (b) the estimation of drought/evaporitic process intensities recognized in dry season F2/F3 layers (see Sect. 5.1 for the facies interpretation).

With the aim of reconstructing the intensity of the Awash River wet season intensities, we selected two proxies, namely the grain size and the thickness of the F1 layers. Thanks to well-established published data, we are able to propose an interpretation of the river energy discharge based on the grain size data (e.g. Campbell, 1998; Lapointe et al., 2012; Parris et al., 2010; Sabatier et al., 2022, 2017; Wilhelm et al., 2015). Indeed, the coarse grain size fraction (D90) has been successfully used to track hydrologic conditions, particularly the transport capacity and the stream velocity during flood events, such as the intensity of past floods (Gilli et al., 2013; Molinaroli et al., 2009; Parris et al., 2010). Similarly, previous studies interpret the thickness of flood deposits in lakes as the total volume of solid material transported and deposited during flood events (Jenny et al., 2014; Schiefer et al., 2011; Wilhelm et al., 2012, 2015). Chronologically corresponding to the duration of the monsoonal rainy season, and in absence of turbiditic layers or singular event deposition sedimentary patterns (e.g. flash floods), the F1 layers are not considered a result of a unique flood event but as the sum of flood events that occurred during the wet season. Consequently, we can consider the F1 layer thickness and D90 as proxies for the Awash discharge intensity in terms of flow energy and the volume of solid load that occurred during the wet monsoonal period between March and August. In our case, the striking similitudes between D90 peaks and the

thickness of F1 layers (Fig. 9b, c) confirms the combination of proxies for tracking flood season intensities.

To reconstruct the intensity of the dry season, we use Sr and Ca elements and the Ti/Sr elemental ratio (Fig. 9) as a marker of evaporative processes resulting from reduced water flow inputs and the contraction of the lake surface, as explained in detail in Sect. 5.1.2. The relationship between enhanced carbonate precipitation and drought intensity in Lake Afambo is evident in the F3 layer at 126 cm, corresponding to the 1997 CE dry season, in which the highest Ca and Sr values recorded in the core correspond to the lowest lake level ever observed and the strongest impact of ENSO that has ever been historically recorded over East Africa (Fig. 9; Palmer et al., 2023).

The comparison between Ti/Sr, F1 thickness and D90 proxies (Fig. 9a-c) shows a strong relationship between physicochemical authigenic processes (carbonate precipitation and Sr enrichment linked to evaporative trends in the dry season) and the Awash River solid load inputs into the lake (linked to the increase or the reduction in water flow at the yearly scale). Consequently, we are able to discuss the variability in wet seasons and drought intensities in the central Afar region over the last ~50 years.

Between 1969 and 1979, a gradual increase in both F1 thickness and D90 indicates a decennial intensification of wet-season solid/liquid Awash River discharge, with 2 years of demarcated wet-season floods in 1976 and 1978. A decrease in Ti/Sr indicate an enhanced dry season in 1969, 1978, and 1979. Between 1980 and 1990, a general and constant trend of high river discharge was recorded with enhanced floods in the 1981, 1982, 1988, and 1989 wet seasons. A pronounced drought was recorded in 1983/1984.

From 1991 to 1997, the occurrence of an abrupt lowering thickness of F1 and low and constant D90 indicate reduced river load inputs compared to the previous and following periods, suggesting a reduced river discharge intensity during the wet season. Such weak river discharge is in accordance with the lowest water level recorded for Lake Afambo, the drying of Gemeri Lake (Fig. 6a4), and high evaporative processes of lake waters (Sr peaks), especially between 1991 and 1997, highlighting the occurrence of the most severe drought period that has been recorded over the last ~50 years in the central Afar region. During this period, Lake Gemeri dried up, evident in satellite image analyses and in the GEM18-03/04B lithology characterized by the development of a concomitant pedogenic horizon. During this time, Lake Gemeri was occupied by vegetation and incipient soil formation.

Between 1998 and 2010, constant Ti/Sr and an increase in the F1 thickness proxies indicate a gradual increase in river terrigenous inputs in relation to weak dry-season drought intensities, except for 2 years of dry-season droughts recorded in 2009 and 2010. The high variable D90 suggests the alternation between yearly high- and low-energy inflow, highlighting a year-by-year hydrological instability of the Awash River catchment for this period.
<figure><img src="image_10.png" /><figcaption>**Figure 8.** Schematic interpretative model of hydrosedimentary patterns of the Awash River delta (including lakes Gemeri and Afambo) during enhanced wet periods (a) and drought events (b).</figcaption></figure>

<figure><img src="image_11.png" /><figcaption>**Figure 9.** 50 years of Awash seasonal flood/drought magnitudes and their connection with ENSO events recorded in the AFA18-02 sequence. (a) Log(Ti/Sr) XRF ratio. (b) F1 thickness. (c) D90. (d) Water flow rate at Tendaho (mm; GR2M). (e) SST anomalies (NOAA; El Niño 3.4) with indicated annual F2 laminae (dry season; yellow lines), enhanced dry interannual events (red lines), and enhanced wet season/river flood periods (blue lines).</figcaption></figure>
Since the 2010 wet season, the AFA18-02 sequence has recorded a disproportionate increase in sedimentation rates (Fig. 6a3) and in yearly solid load volume inputs (F1 thickness Fig. 9b), in concomitance with a reduced river energy discharge (low and constant D90) and an average lake water surface decrease of ~100 km² compared to the previous decade. Such a hydrosedimentary anomaly could be attributable to a strong anthropogenic impact such as that induced by the construction of the Tendaho Dam and the related Tendaho reservoir (Dereje et al., 2018; Yemane, 2008). Indeed, between 2010 and 2014, the dam project included the reorganization of the hydrographic network of the lower Awash plain with the massive development of irrigation channels, sugarcane cultivation, and a sugar factory (corresponding to the alluvial plain area in Fig. 1b). The increase in solid load discharge could thus be linked to the disproportionate intensification of local soil erosion induced by artificial channel digging and agricultural exploitation of the lower Awash plain. Accordingly, the reduced river flow energy and lake surfaces are related to the water retention of the artificial Tendaho reservoir at the mouth of the lower Awash plain. For this period, our geochemical and sedimentological data are not discussed in terms of regional climate-induced drought and flood intensities because they are partially disconnected from the regional hydrological dynamics of the Awash River catchment.

## 5.5 Awash River wet/drought seasonality and their comparison with ENSO impacts in the Horn of Africa

The comparison between our wet-/dry-season intensity reconstruction, the flow rate modelling of the Awash River at Tendaho Lake, and the sea surface temperature (SST) anomalies of the NOAA El Niño model allow us to discuss the high-resolution seasonal hydroclimate variability in the Awash River catchment in relation to El Niño atmospheric anomalies (Fig. 9).

We have observed a generally stronger drought in our record during El Niño years, which are known to be associated with low discharge, while La Niña years correspond with relatively high discharge (Abtew et al., 2009; Amarasekera et al., 1997; Camberlin et al., 2001; De Putter et al., 1998; Eltahir, 1996; Wang and Eltahir, 1999; Zaroug et al., 2014; Fig. 9). We have also observed that the occurrence of extreme wet season conditions at the onset of La Niña periods seems proportional to the gradient amplitude between positive and negative ENSO SST anomalies, as is evident in 1998 (Fig. 9). Accordingly, the D90 variability in the AFA18-02 core indicates the occurrence of high hydrological activity during 1975, 1978, 1981/1982, and 1988/1989, following El-Niño-induced droughts documented in 1975/1976, 1978/1979, 1982, and 1987/1988 in Ethiopia (Mera, 2018). Overall, along the Afambo sequence, all major El-Niño-induced droughts are systematically well recorded by our proxy for drought intensity (red lines in Fig. 9; Mera, 2018).

High evaporation processes and low fluvial solid load inputs recorded in the AFA18-02 sequence suggest that along the lower Awash Valley, the period between 1991 and 1997 experienced the most extreme and continuous drought in the region of the last ~50 years (Fig. 9). In the Lake Abhe basin, such an event caused the complete drying of Lake Gemeri and a substantial lowering of Lake Afambo (Fig. 6b), suggesting loss of water capacity of the lower Awash plain agricultural fields. In East Africa, the 1997/1998 El Niño tended to have significant socioeconomic and health impacts on populations, even if it was not as extreme or as widespread as that of 1984 (Palmer et al., 2023). In contrast, the sedimentary record of the Afar lakes revealed that the 1997 drought was more intense than the 1984 drought. Such a discrepancy can be attributable to strong regional variability, with particularly arid areas such as the Afar region being more impacted by drought than other East African regions. Accordingly, the United Nations Emergencies Unit for Ethiopia reports highlight how the 1997 drought was particularly virulent in the Somali regional state and the Afar, both located in the south-east of the Horn of Africa (Borton, 1997). As a result of low rains in 1996 and 1997, more than 275 000 people in the Afar regional state were reported to be affected by drought.

At the scale of the Horn of Africa, the year 1997 is considered to have had socioeconomic impacts principally related to the La Niña flooding events. From October to December 1997, exceptionally heavy rains seriously affected food production throughout eastern Africa (CARE, 1998; Nicholson, 2017). Accordingly, immediately after the extreme extended drought between 1991 and 1997, we observe a disproportionate increase in Awash River solid load inputs that were concomitant with La Niña (Fig. 9).

From April 2016 to December 2017, the southeastern regions of the Horn of Africa experienced the strongest drought of the last ~40 years, which has been linked to the El Niño 2015 event (MacLeod and Caminade, 2019; Mera, 2018). Even if modulated by the Tendaho Dam, we observe 3 consecutive years of reduced sedimentation rates and unexpected evaporation processes from the Afambo sequence, indicating that the lower Awash Valley had been impacted by anomalously weak rainy seasons in 2015 and 2016. In the nearby Somali region, such events triggered acute food shortages and malnutrition exacerbated by a shortage of potable water that led to disease outbreaks, which affected more than 6 million people (FSNAU, 2022; WBG, 2018).

The AFA18-02 sequence has been shown to be an exceptional record of anomalous hydrological events in the region, but quantitative data for regional to local climate change impacts are still lacking. Indeed, our record provides high-resolution wet-season and drought magnitude records, highlighting some similarities and divergences compared to historical and instrumental records which are necessary for the improvement of eastern African climate prediction models. Such a discrepancy can be attributed to the lack of comprehensive instrumental data for the lower Awash River catchment.
ment area. Specifically, the flow rates in Tendaho have been modelled using discontinuous and low-resolution datasets. The simulated streamflows at Tendaho are subject to uncertainties arising from several factors, namely the rainfall-runoff model itself, the calibration of its parameters based on limited observed streamflow data (available only for the period 1990–2014), and the uncertainties in the meteorological inputs (sourced from the NOAA 20CR global reanalysis). These data merit integration into models to test different external forcings and large-scale climate teleconnections and feedbacks (vegetation, dust concentration, Indian Ocean Dipole, South Atlantic SST, and relationship between ENSO and summer monsoon variability), which have affected interannual to multicentennial hydrological variability in East Africa.

## 6 Conclusions

In this study, we have demonstrated that the hydrosedimentary patterns of central Afar lakes (Ethiopia) are highly sensitive to changes in yearly precipitation over the Awash River catchment. Using a solid-age model, sedimentological and geochemical proxies and microscopic observation on two lacustrine cores cross-referenced with a lake surface reconstruction model from satellite images and seismic imagery, we provide a high-resolution seasonal record of Awash River wet seasons/droughts covering the last ~50 years. Atmospheric anomalies linked to ENSO SST variability are the main factors determining hydrological instability over the central Afar basin during the last 50 years in terms of flood hazards and drought periods. Between 1969 and 1989, our record shows increased wet-season flood activity of the Awash River linked to La Niña, with a moderate impact of the 1984 El Niño on evaporative conditions in the Lake Abhe basin. Between 1991 and 1997, we highlight the occurrence of the strongest prolonged drought ever recorded in the central Afar lake region and demonstrate similarities and divergences between our data and instrumental and historical drought records. This study provides new, unpublished data on the impact of ENSO in the region and confirms the utility of this unique quantitative record for the improvement of future regional climate predictions. From a local perspective, we provide robust evidence to demonstrate how the construction of the Tendaho Dam along the Awash River, associated with extensive agricultural management, strongly affected the hydrosedimentary balance of the lower Awash Valley from 2010, likely resulting in a disproportionate increase in local soil erodibility along the alluvial plain.

The reactivity of local to regional hydrology and soil to global changes remains understated in East African climatic models. This paper demonstrates the importance of studies on regional hydrosystem feedbacks to global atmospheric anomalies to better understand and mitigate the sometimes catastrophic effects of global warming in extreme environments such as the Afar, especially in the context of current climate-induced food insecurity in East Africa (2022–2023 season) and dire predictions for what is ahead.

**Code and data availability.** The detailed core location and coring information are available on the French National Cyber Carothèque of CNRS (https://cybercarothèque.fr/index.php?ope=530, Malet and Arnaud, 2024). All analytical data presented in this work are available in the Supplement.

**Supplement.** The supplement related to this article is available online at: https://doi.org/10.5194/cp-20-1837-2024-supplement.

**Author contributions.** CaM: conceptualization, data curation, formal analysis, investigation, supervision, validation, visualization, writing (original draft preparation), and review and editing. MR: conceptualization, funding acquisition, investigation, project administration, supervision, writing (original draft preparation), and review and editing. EC: conceptualization, investigation, formal analysis, data curation, visualization, writing (original draft preparation), and review and editing. EM and TC: formal analysis, investigation, methodology, resources. PS: conceptualization, data curation, formal analysis, investigation, resources, visualization, writing (original draft preparation), and review and editing. PB: conceptualization, data curation, formal analysis, investigation, writing (original draft preparation), and review and editing. GH: conceptualization, data curation, formal analysis, investigation, visualization, writing (original draft preparation), and review and editing. ALD: data curation, formal analysis, investigation, methodology, and resources. LS: data curation, formal analysis, and investigation. MM: data curation, formal analysis, investigation, methodology, and resources. GD: data curation, formal analysis, investigation, methodology, and resources. AC: formal analysis, investigation, methodology, and resources. DB: formal analysis, methodology, and resources. NV: conceptualization, data curation, formal analysis, investigation, writing (original draft preparation), and review and editing. CLM: project administration and resources. LK: conceptualization, funding acquisition, project administration, supervision, writing, and review and editing. FA: conceptualization, investigation, project administration, data curation, supervision, resources, writing (original draft preparation), and review.

**Competing interests.** The contact author has declared that none of the authors has any competing interests.

**Disclaimer.** Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors.
**Acknowledgements.** The CLIMAFAR (principal investigators: Lamya Khalidi and Marie Revel) December 2018 coring operations were carried out in the framework of the VAPOR-Afar project (principal investigator: Lamya Khalidi) with a permit granted by the Ethiopian Heritage Authority (EHA; formerly the Authority for Research and Conservation of Cultural Heritage – ARCCH, Addis Ababa, Ethiopia) in collaboration with the Afar Bureau of Tourism and Culture. The authors thank the Laboratoire Souterrain de Modane (LSM) facilities for the gamma spectrometry measurements and Environnement and Dynamique et Territoires de Montagne (EDYTEM) for the X-ray fluorescence analyses (to Anne-Lise Develle). We would like to thank the Ethiopian Heritage Authority (EHA), the Afar Bureau of Tourism and Culture, and the French Center for Ethiopian Studies (CFEE) for their authorization and support with regards to fieldwork and logistics. We also thank Tatiana Theodoropoulou and Lucie Coudert for the fish species determination of the AFA18-02 core sequence.

**Financial support.** Funding for the CLIMAFAR project was granted by the French government and managed by the Agence Nationale de la Recherche under the Investissements d'Avenir UCA-JEDI project (reference no. ANR-15-IDEX-01). This work has received funding from the ANR NILAFAR (principal investigator: Marie Revel; grant no. ANR-20-CE03-0011) for publication fees. The XRF core scanner and thin-section fabrication were performed at the EDYTEM laboratory with funding from the CLIMAFAR grant. XRD analyses were funded by a University Cote d'Azur grant (to Carlo Mologni). Radiocarbon dating was performed with funding from an ARTEMIS grant and support from the Géoazur laboratory (to Marie Revel) using the MIChadas facilities (to Christine Hatté; grant no. LSCE - UMR 8212 CEA-CNRS-UVSQ).

**Review statement.** This paper was edited by Claudio Latorre and reviewed by two anonymous referees.

## References

Abtew, W., Melesse, A. M., and Dessalegne, T.: El Niño Southern Oscillation link to the Blue Nile River Basin hydrology, Hydro Process., 23, 3653–3660, https://doi.org/10.1002/hyp.7367, 2009.

Amarasekera, K. N., Lee, R. F., Williams, E. R., and Eltahir, E. A. B.: ENSO and the natural variability in the flow of tropical rivers, J. Hydrol., 200, 24–39, https://doi.org/10.1016/S0022-1694(96)03340-9, 1997.

Arnaud, F. and Sabatier, P.: Lakes as Recorders of Earth Surface Dynamics From Yearly to Plurimillennial Time-Scales, in: Encyclopedia of Inland Waters, 2nd edn., edited by: Mehner, T. and Tockner, K., Elsevier, Oxford, 439–452, https://doi.org/10.1016/B978-0-12-819166-8.00125-0, 2022.

Arneitz, P., Leonhardt, R., Egli, R., and Fabian, K.: Dipole and Nondipole Evolution of the Historical Geomagnetic Field From Instrumental, Archeomagnetic, and Volcanic Data, J. Geophys. Res.-Sol. Ea., 126, e2021JB022565, https://doi.org/10.1029/2021JB022565, 2021.

Ashley, G. M.: 11–Glaciolacustrine environments, in: Modern and Past Glacial Environments, edited by: Menzies, J., Butterworth-Heinemann, Oxford, 335–359, https://doi.org/10.1016/B978-075064226-2/50014-3, 2002.

Ayalew, D., Jung, S., Romer, R. L., Kersten, F., Pfänder, J. A., and Garbe-Schönberg, D.: Petrogenesis and origin of modern Ethiopian rift basalts: Constraints from isotope and trace element geochemistry, Lithos, 258–259, 1–14, https://doi.org/10.1016/j.lithos.2016.04.001, 2016.

Bajard, M., Sabatier, P., David, F., Develle, A.-L., Reyss, J.-L., Fanget, B., Malet, E., Arnaud, D., Augustin, L., Crouzet, C., Poulenard, J., and Arnaud, F.: Erosion record in Lake La Thuile sediments (Prealps, France): Evidence of montane landscape dynamics throughout the Holocene, The Holocene, 26, 350–364, https://doi.org/10.1177/0959683615609750, 2016.

Barberi, F. and Varet, J.: Volcanism of Afar: Small-scale plate tectonics implications, Geol. Soc. Am. Bull., 88, 1251–1266, 1977.

Bastian, L., Vigier, N., Revel, M., Yirgu, G., Ayalew, D., and Pik, R.: Chemical erosion rates in the upper Blue Nile Basin and related atmospheric CO₂ consumption, Chem. Geol., 518, 19–31, https://doi.org/10.1016/j.chemgeo.2019.03.033, 2019.

Bates, C. C.: Rational theory of delta formation, AAPG Bull., 37, 2119–2162, https://doi.org/10.1306/5CEADD76-16BB-11D7-8645000102C1865D, 1953.

Beck, H. E., Wood, E. F., Pan, M., Fisher, C. K., Miralles, D. G., van Dijk, A. I. J. M., McVicar, T. R., and Adler, R. F.: MSWEP V2 Global 3-Hourly 0.1° Precipitation: Methodology and Quantitative Assessment, B. Am. Meteorol. Soc., 100, 473–500, https://doi.org/10.1175/BAMS-D-17-0138.1, 2019.

Bertin, X. and Chaumillon, E.: New Insights in Shallow Gas Generation from Very High Resolution Seismic and Bathymetric Surveys in the Marennes-Oléron Bay, France, Mar. Geophys. Res., 26, 225–233, https://doi.org/10.1007/s11001-005-3720-y, 2005.

Borton, J.: Ethiopia Monthly Information Report Apr 1997, United Nations Emergencies Unit for Ethiopia (UN-EUE), https://reliefweb.int/report/ethiopia/ethiopia-monthly-information-report-apr-1997 (last access: 8 August 2024), 1997.

Borton, J.: Ethiopia Monthly Information Report March 1997, United Nations Emergencies Unit for Ethiopia, https://reliefweb.int/report/ethiopia/ethiopia-monthly-information-report-march-1997 (last access: 8 August 2024), 1997.

Brown, M. C., Hervé, G., Korte, M., and Genevey, A.: Global archaeomagnetic data: The state of the art and future challenges, Phys. Earth Planet. In., 318, 106766, https://doi.org/10.1016/j.pepi.2021.106766, 2021.

Bruel, R. and Sabatier, P.: serac: an R package for ShortlivEd RAdionuclide chronology of recent sediment cores, J. Environ. Radioactiv., 225, 106449, https://doi.org/10.1016/j.jenvrad.2020.106449, 2020.

Camberlin, P., Janicot, S., and Poccard, I.: Seasonality and atmospheric dynamics of the teleconnection between African rainfall and tropical sea-surface temperature: Atlantic vs. ENSO, Int. J. Climatol., 21, 973–1005, https://doi.org/10.1002/joc.673, 2001.

Campbell, C.: Late Holocene Lake Sedimentology and Climate Change in Southern Alberta, Canada, Quaternary Res., 49, 96–101, https://doi.org/10.1006/qres.1997.1946, 1998.
Campos, H., Steffen, W., Aguero, G., Parra, O., and Zuniga, L.: Estudios limnológicos en el Lago Puyehue (Chile): morfometría, factores fisicos y químicos, plancton y productividad primaria, Medio ambiente (Valdivia), Med. Amb., 10, 36–53, 1989.

Campuzano, S. A., Gómez-Paccard, M., Pavón-Carrasco, F. J., and Osete, M. L.: Emergence and evolution of the South Atlantic Anomaly revealed by the new paleomagnetic reconstruction SHAWQ2k, Earth Planet. Sc. Lett., 512, 17–26, https://doi.org/10.1016/j.epsl.2019.01.050, 2019.

CARE: El Niño in 1997–1998: Impacts and CARE’s Response, Care INternational, 1998.

Chapron, E., Ariztegui, D., Mulsow, S., Villarosa, G., Pino, M., Outes, V., Juvignié, E., and Crivelli, E.: Impact of the 1960 major subduction earthquake in Northern Patagonia (Chile, Argentina), Quatern. Int., 158, 58–71, https://doi.org/10.1016/j.quaint.2006.05.017, 2006.

Chapron, E., Juvigné, E., Mulsow, S., Ariztegui, D., Magand, O., Bertrand, S., Pino, M., and Chapron, O.: Recent clastic sedimentation processes in Lake Puyehue (Chilean Lake District, 40.5° S), Sediment. Geol., 201, 365–385, https://doi.org/10.1016/j.sedgeo.2007.07.006, 2007.

Cohen, A. S.: Paleolimnology: The History and Evolution of Lake Systems, Oxford University Press, 540 pp., https://doi.org/10.1093/oso/9780195133530.001.0001, 2003.

Coron, L., Thirel, G., Delaigue, O., Perrin, C., and Andréassian, V.: The suite of lumped GR hydrological models in an R package, Environ. Modell. Softw., 94, 166–171, https://doi.org/10.1016/j.envsoft.2017.05.002, 2017.

Coron, L., Delaigue, O., Thirel, G., Dorchies, D., Perrin, C., and Michel, C.: Suite of GR Hydrological Models for Precipitation-Runoff Modelling, R package version 1.7.6, https://doi.org/10.15454/EX11NA, 2023.

Coudace, I. W. and Rothwell, R. G. (Eds.): Micro-XRF Studies of Sediment Cores, Springer Netherlands, Dordrecht, 656 pp., https://doi.org/10.1007/978-94-017-9849-5, 2015.

Crouzet, C., Wilhelm, B., Sabatier, P., Demory, F., Thouveny, N., Pignol, C., Reyss, J.-L., Magand, O., Jeltsch-Thömmes, A., Bajard, M., Augustin, L., and Arnaud, F.: Palaeomagnetism for chronologies of recent alpine lake sediments: successes and limits, J. Paleolimnol., 62, 259–278, https://doi.org/10.1007/s10933-019-00087-z, 2019.

De Putter, T., Loutre, M.-F., and Wansard, G.: Decadal periodicities of Nile River historical discharge (A.D. 622–1470) and climatic implications, Geophys. Res. Lett., 25, 3193–3196, https://doi.org/10.1029/98GL02250, 1998.

Dereje, H., Daneal, S. F., Yenesew, M., Azage, G. Y., Taddesse, S., Naod, M., and Tariku, A.: The Study of Water Use and Treated Wastewater Discharge charge, Report on Charge System for Irrigation Water Abstraction and Use, Federal Democratic Republic of Ethiopia Awash Basin Authority, 2018.

Dosio, A., Jones, R. G., Jack, C., Lennard, C., Nikulin, G., and Hewitson, B.: What can we know about future precipitation in Africa? Robustness, significance and added value of projections from a large ensemble of regional climate models, Clim. Dynam., 53, 5833–5858, https://doi.org/10.1007/s00382-019-04900-3, 2019.

Eltahir, E. A. B.: El Niño and the Natural Variability in the Flow of the Nile River, Water Resour. Res., 32, 131–137, https://doi.org/10.1029/95WR02968, 1996.

FAO: The Elimination of Food Insecurity in the Horn of Africa – Summary Report, Rome, 2000.

FAO: Drought in the Horn of Africa – Rapid response and mitigation plan to avert a humanitarian catastrophe, FAO, https://doi.org/10.4060/cb8280en, 2022.

Ficchi, A., Cloke, H., Neves, C., Woolnough, S., Coughlan de Perez, E., Zsoter, E., Pinto, I., Meque, A., and Stephens, E.: Beyond El Niño: Unsung climate modes drive African floods, Weather and Climate Extremes, 33, 100345, https://doi.org/10.1016/j.wace.2021.100345, 2021.

Folk, R. L. and Ward, W. C.: Brazos River Bar: A Study in the Significance of Grain Size Parameters, J. Sediment. Petrol., 27, 3–26, 1957.

Foucher, A., Chaboche, P.-A., Sabatier, P., and Evrard, O.: A worldwide meta-analysis (1977–2020) of sediment core dating using fallout radionuclides including <sup>137</sup>Cs and <sup>210</sup>Pb<sub>xs</sub>, Earth Syst. Sci. Data, 13, 4951–4966, https://doi.org/10.5194/essd-13-4951-2021, 2021.

FSNAU: Somalia FSNAU Food Security & Nutrition Quarterly Brief – Focus on Post Gu 2017 Season Early Warning, Food Security and Nutrition Analysis Unit and Famine Early Warning System Network, FSNAU, https://fsnau.org/in-focus/quarterly-brief-june-2017-focus-post-gu-season-early-warning (last access: 8 August 2024), 2022.

Garcia-Gil, S., Vilas, F., and Garcia-Garcia, A.: Shallow gas features in incised-valley fills (Ría de Vigo, NW Spain): a case study, Cont. Shelf Res., 22, 2303–2315, https://doi.org/10.1016/S0278-4343(02)00057-2, 2002.

Gilli, A., Anselmetti, F. S., Glur, L., and Wirth, S. B.: Lake Sediments as Archives of Recurrence Rates and Intensities of Past Flood Events, in: Dating Torrential Processes on Fans and Cones: Methods and Their Application for Hazard and Risk Assessment, edited by: Schneuwly-Bollschweiler, M., Stoffel, M., and Rudolf-Miklau, F., Springer Netherlands, Dordrecht, 225–242, https://doi.org/10.1007/978-94-007-4336-6_15, 2013.

Haberzettl, T., Kirsten, K. L., Kasper, T., Franz, S., Reinwarth, B., Baade, J., Daut, G., Meadows, M. E., Su, Y., and Mäusbacher, R.: Using <sup>210</sup>Pb-data and paleomagnetic secular variations to date anthropogenic impact on a lake system in the Western Cape, South Africa, Quat. Geochronol., 51, 53–63, https://doi.org/10.1016/j.quageo.2018.12.004, 2019.

Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Fleming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 global reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020.

Hua, Q., Barbetti, M., and Rakowski, A. Z.: Atmospheric radio-carbon for the period 1950–2010, Radiocarbon, 55, 2059–2072, https://doi.org/10.2458/azu_js_rc.v55i2.16177, 2013.

IPCC: Working Group II contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge University
Press, Cambridge, UK and New York, NY, USA, 3056 pp.,
https://doi.org/10.1017/9781009325844, 2022.

Jackson, A., Jonkers, A. R. T., and Walker, M. R.: Four Centuries of Geomagnetic Secular Variation from Historical Records, Philos. T. R. Soc. A, 358, 957–990, 2000.

Jackson, M. L.: Soil chemical analysis: advanced course: a manual of methods useful for instruction and research in soil chemistry, physical chemistry of soils, soil fertility, and soil genesis, Parallel Press, University of Wisconsin-Madison Libraries, © 2005, 2nd edn., Madison, Wis., 930 pp., 2005.

Jenny, J.-P., Wilhelm, B., Arnaud, F., Sabatier, P., Giguet Covex, C., Mélo, A., Fanget, B., Malet, E., Ployon, E., and Perga, M. E.: A 4D sedimentological approach to reconstructing the flood frequency and intensity of the Rhône River (Lake Bourget, NW European Alps), J. Paleolimnol., 51, 469–483, https://doi.org/10.1007/s10933-014-9768-4, 2014.

Kidane, D., Mekonnen, A., and Teketay, D.: Contributions of Tendaho Irrigation Project to the Improvement of Livelihoods of Agropastoralists in the Lower Awash Basin, Northeastern Ethiopia, Ethiopian E-Journal for Research and Innovation Fore-sight, 6, 1–19, 2014.

Kylander, M. E., Ampel, L., Wohlfarth, B., and Veres, D.: High-resolution X-ray fluorescence core scanning analysis of Les Echets (France) sedimentary sequence: new insights from chemical proxies, J. Quaternary Sci., 26, 109–117, https://doi.org/10.1002/jqs.1438, 2011.

Lapointe, F., Francus, P., Lamoureux, S. F., Saïd, M., and Cuven, S.: 1750 years of large rainfall events inferred from particle size at East Lake, Cape Bounty, Melville Island, Canada, J. Paleolimnol., 48, 159–173, https://doi.org/10.1007/s10933-012-9611-8, 2012.

Lefebvre, P., Sabatier, P., Mangeret, A., Gourgiotis, A., Le Pape, P., Develle, A.-L., Louvat, P., Diez, O., Reys, J.-L., Gaillardet, J., Cazala, C., and Morin, G.: Climate-driven fluxes of organic-bound uranium to an alpine lake over the Holocene, Sci. Total Environ., 783, 146878, https://doi.org/10.1016/j.scitotenv.2021.146878, 2021.

Lennard, C. J., Nikulin, G., Dosio, A., and Moufouma-Okia, W.: On the need for regional climate information over Africa under varying levels of global warming, Environ. Res. Lett., 13, 060401, https://doi.org/10.1088/1748-9326/aab2b4, 2018.

Li, C.-G., Zheng, Y., Wang, M., Sun, Z., Jin, C., and Hou, J.: Refined dating using palaeomagnetic secular variations on a lake sediment core from Guozha Co, north-western Tibetan Plateau, Quat. Geochronol., 62, 101146, https://doi.org/10.1016/j.quageo.2020.101146, 2021.

MacLeod, D. and Caminade, C.: The Moderate Impact of the 2015 El Niño over East Africa and Its Representation in Seasonal Reforecasts, J. Climate, 32, 7989–8001, https://doi.org/10.1175/JCLI-D-19-0201.1, 2019.

Malet, E. and Arnaud, F.: Mission VAPOR AFAR 2018, https://cybercarotheque.fr/index.php?ope=530, last access: 12 August 2024.

Martín-Puertas, C., Valero-Garcés, B. L., Mata, M. P., Moreno, A., Giralt, S., Martínez-Ruiz, F., and Jiménez-Espejo, F.: Geochemical processes in a Mediterranean Lake: a high-resolution study of the last 4,000 years in Zoñar Lake, southern Spain, J. Paleolimnol., 46, 405–421, https://doi.org/10.1007/s10933-009-9373-0, 2011.

Mera, G. A.: Drought and its impacts in Ethiopia, Weather and Climate Extremes, 22, 24–35, https://doi.org/10.1016/j.wace.2018.10.002, 2018.

Molinaroli, E., Guerzoni, S., De Falco, G., Sarretta, A., Cucco, A., Como, S., Simeone, S., Perilli, A., and Magni, P.: Relationships between hydrodynamic parameters and grain size in two contrasting transitional environments: The Lagoons of Venice and Cabras, Italy, Sediment. Geol., 219, 196–207, https://doi.org/10.1016/j.sedgeo.2009.05.013, 2009.

Mologni, C., Revel, M., Blanchet, C., Bosch, D., Develle, A.-L., Orange, F., Bastian, L., Khalidi, L., Ducassou, E., and Migeon, S.: Frequency of exceptional Nile flood events as an indicator of Holocene hydro-climatic changes in the Ethiopian Highlands, Quaternary Sci. Rev., 247, 106543, https://doi.org/10.1016/j.quascirev.2020.106543, 2020.

Mologni, C., Bruxelles, L., Schuster, M., Davtian, G., Ménard, C., Orange, F., Doubre, C., Cauliez, J., Taezaz, H. B., Revel, M., and Khalidi, L.: Holocene East African monsoonal variations recorded in wave-dominated clastic paleo-shorelines of Lake Abhe, Central Afar region (Ethiopia & Djibouti), Geomorphology, 391, 107896, https://doi.org/10.1016/j geomorph.2021.107896, 2021.

Mouelhi, S., Michel, C., Perrin, C., and Andréassian, V.: Stepwise development of a two-parameter monthly water balance model, J. Hydrol., 318, 200–214, https://doi.org/10.1016/j.jhydrol.2005.06.014, 2006.

Murray, H. D.: Melanoides tuberculata (Müller), Las Morras Creek, Bracketville, Bulletin Of The American Malacological Union, 1, 43, 1975.

Nash, J. E. and Sutcliffe, J. V.: River flow forecasting through conceptual models part I – A discussion of principles, J. Hydrol., 10, 282–290, https://doi.org/10.1016/0022-1694(70)90255-6, 1970.

Niang, I., Ruppel, O. C., Abdrabo, M. A., Essel, A., Lennard, C., Padgham, J., Urquhart, P., Adelekan, I., Archibald, S., Barkhor-darian, A., Battersby, J., Chahed, M., Chatterjee, M., Chidziezie, C. T., Descheemaeker, K., Djoudi, H., Ebi, K. L., Fall, P. D., Fuentes, R., Garland, R., Harvey, B., Hayden, M., Hemp, A., Job-bins, G., Johnson, J., Lobell, D., Locatelli, B., Ludi, E., Naess, L. O., Ndebele-Murisa, M. R., Ndiaye, A., Newsham, A., Njai, S., Pauw, P., Pramova, E., Rakotondrafara, M.-L., Raleigh, C., Roberts, D., Schleyer, M. H., Victor, D., Vincent, K., Dube, P., Leary, N., and Schulte-Uebbing, L.: Part B: Regional Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change – Africa, in: Climate Change 2014: Impacts, Adaptation, and Vulnerability, Cambridge, United Kingdom and New York, NY, USA, 1199–1265, ISBN 978-1-107-64165-5, 2014.

Nicholson, S. E.: Climate and climatic variability of rainfall over eastern Africa, Rev. Geophys., 55, 590–635, https://doi.org/10.1002/2016RG000544, 2017.

Ólafsdóttir, S., Geirsdóttir, Á., Miller, G. H., Stoner, J. S., and Channell, J. E. T.: Synchronizing Holocene lacustrine and marine sediment records using paleomagnetic secular variation, Geology, 41, 535–538, https://doi.org/10.1130/G33946.1, 2013.

Oudin, L., Hervieu, F., Michel, C., Perrin, C., Andréassian, V., Anctil, F., and Loumagne, C.: Which potential evapotranspiration input for a lumped rainfall-runoff model?: Part 2 – Towards a simple and efficient potential evapotranspiration
model for rainfall-runoff modelling, J. Hydrol., 303, 290–306,
https://doi.org/10.1016/j.jhydrol.2004.08.026, 2005.

Palmer, P. I., Wainwright, C. M., Dong, B., Maidment, R. I., Wheeler, K. G., Gedney, N., Hickman, J. E., Madani, N., Folwell, S. S., Abdo, G., Allan, R. P., Black, E. C. L., Feng, L., Gudoshava, M., Haines, K., Huntingford, C., Kilavi, M., Lunt, M. F., Shaaban, A., and Turner, A. G.: Drivers and impacts of Eastern African rainfall variability, Nat. Rev. Earth Environ., 4, 254–270, https://doi.org/10.1038/s43017-023-00397-x, 2023.

Parris, A. S., Bierman, P. R., Noren, A. J., Prins, M. A., and Lini, A.: Holocene paleostorms identified by particle size signatures in lake sediments from the northeastern United States, J. Paleolimnol., 43, 29–49, https://doi.org/10.1007/s10933-009-9311-1, 2010.

Pekel, J.-F., Cottam, A., Gorelick, N., and Belward, A. S.: High-resolution mapping of global surface water and its long-term changes, Nature, 540, 418–422, https://doi.org/10.1038/nature20584, 2016.

Phillips, J. D.: Sources of nonlinearity and complexity in geomorphic systems, Prog. Phys. Geog., 27, 1–23, https://doi.org/10.1191/0309133303pp340ra, 2003.

Poirier, C., Baumann, J., and Chaumillon, E.: Hypothetical Influence of Bacterial Communities on the Transfer of ¹⁴C-Depleted Carbon to Infaunal Foraminifera: Implications for Radiocarbon Dating in Coastal Environments, Radiocarbon, 61, 845–865, https://doi.org/10.1017/RDC.2019.7, 2019.

Rauch, S., Hemond, H. F., and Brabander, D. J.: High spatial resolution analysis of lake sediment cores by laser ablation inductively coupled plasma-mass spectrometry (LA-ICP-MS): Lake sediment cores by laser ablation-ICP-MS, Limnol. Oceanogr.-Meth., 4, 268–274, https://doi.org/10.4319/lom.2006.4.268, 2006.

Reyss, J.-L., Schmidt, S., Legeleux, F., and Bonté, P.: Large, low background well-type detectors for measurements of environmental radioactivity, Nucl. Instrum. Meth. A, 357, 391–397, https://doi.org/10.1016/0168-9002(95)00021-6, 1995.

Roussel, E. G., Sauvadet, A.-L., Allard, J., Chaduteau, C., Richard, P., Bonavita, M.-A. C., and Chaumillon, E.: Archaeal Methane Cycling Communities Associated with Gassy Subsurface Sediments of Marennes-Oléron Bay (France), Geomicrobiol. J., 26, 31–43, https://doi.org/10.1080/01490450802599284, 2009.

Sabatier, P., Wilhelm, B., Ficetola, G. F., Moiroux, F., Poulenard, J., Develle, A.-L., Bichet, A., Chen, W., Pignol, C., Reyss, J.-L., Gielly, L., Bajard, M., Perrette, Y., Malet, E., Taberlet, P., and Arnaud, F.: 6-kyr record of flood frequency and intensity in the western Mediterranean Alps – Interplay of solar and temperature forcing, Quaternary Sci. Rev., 170, 121–135, https://doi.org/10.1016/j.quascirev.2017.06.019, 2017.

Sabatier, P., Moernaut, J., Bertrand, S., Van Daele, M., Kremer, K., Chaumillon, E., and Arnaud, F.: A Review of Event Deposits in Lake Sediments, Quaternary, 5, 34, https://doi.org/10.3390/quat5030034, 2022.

Santisteban, J. I., Mediavilla, R., López-Pamo, E., Dabrio, C. J., Blanca Ruiz Zapata, M., José Gil García, M., Castaño, S., and Martínez-Alfaro, P. E.: Loss on ignition: a qualitative or quantitative method for organic matter and carbonate mineral content in sediments?, J. Paleolimnol., 32, 287–299, https://doi.org/10.1023/B:JOPL.0000042999.30131.5b, 2004.

Schiefer, E., Gilbert, R., and Hassan, M. A.: A lake sediment-based proxy of floods in the Rocky Mountain Front Ranges, Canada, J. Paleolimnol., 45, 137–149, https://doi.org/10.1007/s10933-010-9485-6, 2011.

Slivinski, L. C., Compo, G. P., Whitaker, J. S., Sardeshmukh, P. D., Giese, B. S., McColl, C., Allan, R., Yin, X., Vose, R., Titchner, H., Kennedy, J., Spencer, L. J., Ashcroft, L., Brönnimann, S., Brunet, M., Camuffo, D., Cornes, R., Cram, T. A., Crouthamel, R., Domínguez-Castro, F., Freeman, J. E., Gergis, J., Hawkins, E., Jones, P. D., Jourdain, S., Kaplan, A., Kubota, H., Blancq, F. L., Lee, T.-C., Lorrey, A., Luterbacher, J., Maugeri, M., Mock, C. J., Moore, G. W. K., Przybylak, R., Pudmenzky, C., Reason, C., Slonosky, V. C., Smith, C. A., Tinz, B., Trewin, B., Valente, M. A., Wang, X. L., Wilkinson, C., Wood, K., and Wyszyński, P.: Towards a more reliable historical reanalysis: Improvements for version 3 of the Twentieth Century Reanalysis system, Q. J. Roy. Meteor. Soc., 145, 2876–2908, https://doi.org/10.1002/qj.3598, 2019.

Taddese, G., Sonder, K., and Peden, D.: The water of the Awash river basin a future challenge to Ethiopia, Report, 14 pp., 2010.

Varet, J.: Geology of Afar (East Africa), Springer, 336 pp., https://doi.org/10.1007/978-3-319-60865-5, 2018.

Wang, G. and Eltahir, E. A. B.: Use of ENSO Information in Medium- and Long-Range Forecasting of the Nile Floods, J. Climate, 12, 1726–1737, https://doi.org/10.1175/1520-0442(1999)012<1726:UOEIIM>2.0.CO;2, 1999.

Ward, P. J., Eisner, S., Flörke, M., Dettinger, M. D., and Kummu, M.: Annual flood sensitivities to El Niño–Southern Oscillation at the global scale, Hydrol. Earth Syst. Sci., 18, 47–66, https://doi.org/10.5194/hess-18-47-2014, 2014.

WBG: Somalia Drought Impact and Needs Assessment: Synthesis Report, World Bank Group, http://documents.worldbank.org/curated/en/901031516986381462/synthesis-report (last access: 8 August 2024), 2018.

Weltje, G. J. and Tjallingii, R.: Calibration of XRF core scanners for quantitative geochemical logging of sediment cores: Theory and application, Earth Planet. Sc. Lett., 274, 423–438, https://doi.org/10.1016/j.epsl.2008.07.054, 2008.

Wilhelm, B., Arnaud, F., Sabatier, P., Crouzet, C., Brisset, E., Guiter, F., Reyss, J. L., Chaumillon, E., Tachikawa, K., Bard, E., and Delannoy, J. J.: 1.4 kyrs of flash flood events in the Southern European Alps: implications for extreme precipitation patterns and forcing over the north-western Mediterranean area, 90–97, EGU, Vienna, Austria, April 2012, Vienna, 2012.

Wilhelm, B., Sabatier, P., and Arnaud, F.: Is a regional flood signal reproducible from lake sediments?, Sedimentology, 62, 1103–1117, https://doi.org/10.1111/sed.12180, 2015.

Wilhelm, B., Ballesteros Canovas, J. A., Corella Aznar, J. P., Kämpf, L., Swierczynski, T., Stoffel, M., Stören, E., and Too nen, W.: Recent advances in paleoflood hydrology: From new archives to data compilation and analysis, Water Security, 3, 1–8, https://doi.org/10.1016/j.wasec.2018.07.001, 2018.

Wilhelm, B., Rapuc, W., Amann, B., Anselmetti, F. S., Arnaud, F., Blanchet, J., Brauer, A., Czymzik, M., Giguet-Covex, C., Gilli, A., Glur, L., Grosjean, M., Irmler, R., Nicolle, M., Sabatier, P., Swierczynski, T., and Wirth, S. B.: Impact of warmer climate periods on flood hazard in the European Alps, Nat. Geosci., 15, 118–123, https://doi.org/10.1038/s41561-021-00878-y, 2022.
Yemane, W.: Challenges and Prospects of Commercial Agriculture Entreprise Development and the Afar Pastoralists: The Case of Tendaho Dam and Irrigation Project, Addis Ababa University, Addis Ababa, https://projectng.com/topic/in16444/challenges-prospects-commercial-agriculture-enterprise (last access: 8 August 2024), 2008.

Zaroug, M. A. H., Eltahir, E. A. B., and Giorgi, F.: Droughts and floods over the upper catchment of the Blue Nile and their connections to the timing of El Niño and La Niña events, Hydrol. Earth Syst. Sci., 18, 1239–1249, https://doi.org/10.5194/hess-18-1239-2014, 2014.