bluuebunny/crossref_metadata_2025 huggingface dataset:
Dança do ventre: imagens do cotidiano
Authors: Da Silva Baptista Thais , Zimmermann Ana Cristina , Chung Saura Soraia
Published: March 2024

A história da dança do ventre costuma ser atribuída às práticas ritualísticas da Antiguidade no Oriente Médio. Essa narrativa dificilmente sustenta-se como fato histórico. Entretanto, algumas imagens desempenham papel importante ao gerar sentidos sobre essa dança enquanto manifestação expressiva na atualidade. O objetivo do artigo é investigar os principais fatores relacionados ao movimentar-se presentes na dança do ventre, levando em conta seus aspectos simbólicos e expressivos, de forma a identificar os sentidos desta dança para bailarinas e bailarinos brasileiros. O estudo segue uma orientação fenomenológica que busca descrever as imagens sobre a dança do ventre reveladas em pesquisas de campo. Narrativas associadas ao feminino são recorrentes e sugerem uma elaboração potente, que dialoga com a ancestralidade e se atualiza de forma contemporânea. A dança ganha um sentido existencial e único para quem dança, mas revela um potencial expressivo que é universal.
Implementation of Project Based Learning Method in Developing Cognitive Abilities of Children Aged 5-6 Years Through Loose Parts Media
Authors: Aulia Maya Putri , Sudarti Sudarti , Zar'in Firdaus
Published: March 2024

This study aims to explore the implementation of Project Based learning (PBL) method in developing cognitive abilities of children aged 5-6 years through loose parts media. The research used a descriptive qualitative approach with a focus on observing the implementation of learning activities at 'Aisyiyah Bustanul Athfal 3 Kindergarten, Southeast Pontianak. Data were obtained through observation, interviews, and document analysis. The results showed that the PBL method applied through loose parts media was effective in developing cognitive abilities of children aged 5-6 years. Careful planning, the active role of teachers in supporting activities, and the use of interesting media are important factors in the successful implementation of this method. In addition, the results also showed that children showed progress in problem solving, logical thinking and symbolic thinking through active participation in learning activities. The findings make an important contribution to the understanding of the use of the PBL method and loose parts media in the context of early childhood education and provide practical guidance for educators to improve the quality of learning in early childhood education institutions.
O BRINCAR SOB O ENFOQUE FUNCIONAL E AS CONTRIBUIÇÕES DATEORIA DA MENTE
Authors: Teixeira Lena Cláudia Fagundes
Published: March 2024

The present work aims to present the play of play under the functional approach and the possibilities ofdevelopment from the social interaction of children with Autism Spectrum Disorder (ASD) during earlychildhood. The characteristics of TEA and the intervention of play for social development, as well asthe conceptual differences between games, toys and games, and the importance of the mediator in therelation of play are presented. In order to carry out this study, we started with a bibliographical research,with contributions in studies and contributions of authors who defend play as a stimulating resource tofacilitate human development in the social aspect, relating to the influences of the historical and culturalcontext. In this sense, it was possible to perceive the contribution of play under the functional approachand the possibilities of development in the social interaction of children with autism spectrum disorders.
CADEIA PRODUTIVA: VISÃO EM REDE E OS FATORES DE DECISÃO E GESTÃO DA REDE
Authors: Chadreque Juvenal Laurinda da Silva , Manhiça Malaquias José
Published: March 2024

The increasingly globalized market has demanded from companies a greater flexibility and the adoption of innovative instruments in Supply Chain Management, especially in the management of relationships between the actors involved. Customer-supplier relationships have undergone profound changes in pattern, due to new trends imposed by world markets. The scope of customer-supplier relationships is expanding, giving rise to other more advanced theories, such as cooperation networks, in which suppliers of suppliers and customers of customers also participate. On the one hand, companies are implementing plans to reduce human labor in their decision-making process and replace them with machines, as maintenance costs are cheap. On the other hand, companies do not argue before the human person, who has the right to work, free choice of work, fair and satisfactory working conditions, and protection against unemployment. The methodology adopted for the development of this work is the exploratory descriptive, which is based on works and documents that exist on the subject. We conclude that there is a need to create synergies. In the decision-making process, companies must look at all aspects inherent to the productivity chain and network management.
Serie de casos de amiloidosis sistémica de cadenas ligeras en un hospital de alta complejidad en Medellín
Authors: Gálvez Cárdenas Kenny Mauricio , Escobar Millán Maria Clara , Morantes Rubiano Juan Felipe
Published: March 2024

La amiloidosis es un conjunto de enfermedades raras caracterizada por el depósito anormal de proteínas en los tejidos. Puede afectar cualquier órgano excepto el sistema nervioso central y tener una presentación clínica heterogénea dependiendo del daño al órgano comprometido. Métodos: se presenta un estudio descriptivo, retrospectivo de una serie de casos de 11 pacientes en una institución de alta complejidad en Medellín donde se realizó el diagnóstico comprobado de amiloidosis por cadenas ligeras; el objetivo fue describir la presentación clínica, paraclínica e imagenológica de los pacientes, durante un periodo comprendido entre 2014 y 2020. Se realizó una recolección de datos demográficos y clínicos de los registros médicos, para posteriormente compararlos con datos de la literatura. Resultados: se encontró un total de 11 pacientes en quienes predominó principalmente el compromiso cardiaco y renal. Los síntomas principalmente referidos fueron edema en extremidades, astenia, adinamia, pérdida de peso y disnea. Los órganos donde se identificó por histopatología el depósito amiloide fueron médula ósea, tracto gastrointestinal, riñón, pulmón y en piel. En el electrocariograma los dos principales hallazgos fueron un patrón de bajo voltaje y de pseudoinfarto;la hipertrofia ventricular izquierda y el derrame pericárdico fueron hallazgos ecocardiográficos frecuentes. Conclusión: el tipo de gammapatía monoclonal de tipo más frecuente en la serie fue porcadenas livianas lambda.
Agradecimientos a los evaluadores vol 10 núm 2 del 2023
Authors: Ortiz Gomez León Darío
Published: March 2024

El comité editorial de la Revista Colombiana de Hematología y Oncología agradece y reconoce el tiempo y el esfuerzo dedicados por los revisores para mejorar la calidad de los trabajos publicados en este número.  A menudo los autores mencionan su agradecimiento por los comentarios detallados y útiles recibidos, incluso cuando los mismos condujeron al rechazo del manuscrito.
Este es un espacio de reconocimiento a la confianza depositada en el proceso editorial y al espíritu de colaboración de los evaluadores que fortalece la comunidad científica.
INVESTIGASI PERILAKU OVIPOSISI Aedes aegypti PADA PERBEDAAN WARNA WADAH PENAMPUNGAN AIR DI KOTA MATARAM
Authors: Sazali Munawir , Lubis Syafrina Sari
Published: March 2024

Demam berdarah dengue (DBD) merupakan penyakit endemik yang ditularkan dari gigitan nyamuk Aedes sp. Mewabahnya Demam Berdarah Dengue di suatu wilayah dikarenakan meningkatnya populasi vektor akibat dari ketersediaan sarang bertelur nyamuk di dalam ruangan (indoor) maupun di luar ruangan (outdoor). Penelitian ini bertujuan untuk mengamati perilaku peletakan telur (oviposisi) nyamuk Aedes aegypti pada perbedaan warna penampungan air warga di Kelurahan Pagutan, Kota Mataram. Penelitian ini merupakan penelitian explanatory research yang tergolong ke dalam preventive community trial. Berdasarkan data hasil pengamatan yang diperoleh, Pemilihan warna pada wadah peletakan telur pada wadah penampungan air menenetukan perilaku nyamuk Ae. aegypti untuk lebih memilih warna-warna gelap sebagai tempat peletakan telur baik di dalam ruangan maupun luar ruangan. Berdasarkah data hasil pengamatan dan analisis statistik terdapat perbedaan secara signifikan dari perilaku peletakan telur nyamuk Ae. aegyti pada wadah penampungan air dengan warna gelap di dalam ruangan dengan warna gelap di luar ruangan, warna terang dan putih di dalam maupun luar ruangan (p=0.000<0.05). Berdasarkan perilaku bertelur dari vektor virus dengue dapat dijadikan sebagai acuan untuk mengkondisikan warna wadah penampungan air baik di dalam maupun di luar ruangan dengan harapan dapat mengurangi tempat perindukan nyamuk Ae. aegypti di lingkungan.
Artificial Intelligence for climate change multi-risk assessment: a Myriad-EU case study in the Veneto Region
Authors: Ferrario Davide Mauro , Sano Marcello , Tiggeloven Timothy , Claasen Judith , Petrovska Elena , Maraschini Margherita , de Ruiter Marleen , Torresan Silvia , Critto Andrea
Published: March 2024

The escalating frequency and intensity of extreme climate events underscore the need for robust multi-risk assessment methodologies. Conventional approaches often struggle unravelling the intricate interplays among diverse hazards and their impacts on vulnerability and exposure factors. Understanding the complex impact chains and the consequences of extreme climate events on socio-economic and natural systems is crucial for formulating effective risk reduction and preparedness strategies. Artificial Intelligence (AI) has emerged as a powerful tool for analysing intricate environmental data, fusing information from different heterogeneous sources, and modeling non-linear relationships.A stepwise AI-based framework has been developed to assess the risk induced by extreme climate events—specifically, heatwaves, droughts, storm surges, extreme precipitation, and extreme wind events—in the Veneto Region (North-East Italy). The first step consists in the identification of single hazard spatial and temporal footprints from climate data, using statistical methods (quantiles and percentiles) for identifying anomalies and extreme events and unsupervised machine learning (DBSCAN) for clustering. The second step aims at building multi-hazard event sets, by combining the dynamic single hazard clusters extracted in the first step with static footprints of other hazards, such as wildfires and landslides. In particular, different time lags and spatial overlaps are applied to identify compound or consecutive events. Finally, the third step employs supervised ML algorithms, such as Random Forest, Support Vector Machine (SVM), and Convolutional Neural Networks (CNN), to model multi-hazard susceptibility over different multi-hazard combinations. Footprints of past single and multi-hazard events are used as assessment endpoints to train the ML model and identify the most important vulnerability and exposure factors and multi-risk hotspots within the Veneto region.This comprehensive approach integrates advanced data driven and AI techniques to enhance the understanding of the complex dynamics associated with multi-risk events. This framework has been applied and tested within the Myriad-EU project, in the Veneto Region case study, demonstrating its efficacy in assessing and predicting the impacts of multi-risk events under different climate change scenarios.
Mapping a Decade of Seasonal Hydrological Forecasting: The UK Hydrological Outlook’s Journey 
Authors: Hannaford Jamie , Facer-Childs Katie ,   The Hydrological Outlooks Team
Published: March 2024

The UK Hydrological Outlook provides an insight into future hydrological conditions across the UK, through sub-seasonal to seasonal forecasts of river flows and groundwater levels. The Outlook was initiated during the 2012 drought, which subsequently terminated with severe flooding. That remarkable year saw simultaneous drought restrictions and flood warnings, underlining the pressing need to go beyond situation monitoring (where are we now?) towards seasonal forecasts (what is likely to happen next?). Motivated by these events, the UK Hydrological Outlook was first implemented in 2013 and now celebrates a decade of operational service. This decade has seen notable flood (e.g., 2013 – 2014, 2015 – 2016, 2019 – 2020) and drought episodes (e.g., 2018, 2022), with the Outlook now standing as a valuable source of evidence for users ranging from the news media to government departments. Over these years, it has evolved into a dependable and widely used tool, delivering essential insights to regulators, the water industry, and other stakeholders to inform their water resources management decisions. This collaborative effort, led by UKCEH and involving the Met Office, the British Geological Survey, and the UK Measuring Authorities, has matured into a sophisticated operational system, which includes information on uncertainties and user-friendly interactive visualisation options. This presentation showcases its origins, development, and growth, bringing together multiple research strands converging towards the current operational product. In addition, we include an overview of current and future developments.
The carbon stable isotope composition of PAHs released during thermal processes in self-heating coal waste Heřmanice dump, Czech Republic 
Authors: Jurek Krzysztof J. , Jabłońska Mariola , Geršlová Eva , Szram Ewa , Fabiańska Monika , Kowalski Tomasz , Więcław Dariusz
Published: March 2024

Coal wastes are a by-product of coal mining. Regardless of the extraction technique (opencast or deep mining), coal wastes are disposed of in dumps. The heaps are an integral element of the industrial landscape of the Czech part of the Upper Silesian Coal Basin, where bituminous coal has been mined since the 18th century. The Heřmanice dump is the largest, partially burning dump in the Czech part of the Upper Silesian Coal Basin. The dump was used to store waste from several mines in northern Ostrava (Ida Mine, Viktoria - Generalissimus Stalin II - Rudý Říjen – Heřmanice Mine) up to 1970. The self-heating process began in the dump's southeast in the early 1990s and has extended northward to the eastern part of the heap. Polycyclic aromatic hydrocarbons (PAHs), naturally occurring in coaly material during waste self-burning are emitted into the atmosphere with particulate matter (PM).The concentrations and stable carbon isotope compositions of PAHs associated with PM collected on glass fibre filters using a Senya high-flow aspirator were analysed using gas chromatography coupled with tandem mass spectrometry (GC-MS/MS) and compound-specific isotope analysis (CSIA). The PM samples were collected from the same three exhalations on the dump in the winter, spring, and autumn. Following sample collection, the internal temperature of the dump was measured at a depth up to 100 cm below the surface. In dichloromethane extracts of glass fibre filters obtained by ultrasonic extraction, phenanthrene and fluorene predominate regardless of subsurface temperature or season. PAHs emissions differ depending on the stage of combustion. The highest levels of PAHs emission are related to subsurface temperatures ranging from 200 to 250 °C (the main stage of the self-heating process). At low (initial stage) and high (final stage) temperatures PAHs are released in low concentrations. However, the composition of stable carbon isotopes of phenanthrene and fluorene might be helpful to distinguish the stage of the process. Phenanthrene and fluorene related to low temperatures are isotopically heavier than those exhaled at high temperatures. As a result, CSIA might help evaluate the progress of the self-heating process at coal waste heaps.This study was financed by the AGH University of Krakow as a part of the programme Excellence Initiative – Research University, Action 4, Grant No. 4113.
Differential phase analysis for volcanic tremor detection and source location.
Authors: Barajas Andres , Shapiro Nikolai , Prieto German
Published: March 2024

We present observations showing that during episodes of volcanic tremors, the phase of inter-station cross-correlations becomes stable. We propose a new quantity, the phase coherence, to identify the differential phase stability in recordings obtained from a single pair of stations, which is extrapolated to the seismic network. Then, we present a new approach based on the estimation of differential travel times through the differential phase measurements, to locate the sources of tremors occurring at the end of 2015 at the Klyuchevskoy Volcanic Group in Kamchatka, Russia. We present evidence supporting the existence of two types of activity happening simultaneously during the tremor episode: the main tremor source, originating from a region located between 7 and 9 km depth under the main volcanoes, and the widespread occurrence of weak low-frequency earthquakes occurring at random locations. We show how the phase coherence and the differential phases can be used to provide information on the stability of the tremor source position and to estimate its location.
Vertical structures of global marine heatwaves
Authors: Zhang Ying , Du Yan , Feng Ming , Hobday Alistair J.
Published: March 2024

A marine heatwave (MHW) is typically defined as an anomalous warm event in the surface ocean, with wide-ranging impacts on marine and socio-economic systems. The surface warming associated with MHWs can penetrate into the deep ocean; however, the vertical structure of MHWs is poorly known in the global ocean. Here, we identify four main types of MHWs with different vertical structures using Argo profiles: shallow, subsurface-reversed, subsurface-intensified, and deep MHWs. These MHW types are characterized by different spatial distributions with hotspots of subsurface-reversed and subsurface-intensified MHWs at low latitudes and shallow and deep MHWs at middle-high latitudes. These vertical structures are influenced by ocean dynamical processes, including oceanic planetary waves, boundary currents, eddies, and mixing. The area and depth of all types of MHWs exhibit significant increasing trends over the past two decades. These results contribute to a better understanding of the physical drivers and ecological impacts of MHWs in a warming climate. 
A 172-year Drought Atlas for Romania 
Authors: Cotos Mihai-Gabriel , Ionita Monica , Roibu Catalin-Constantin , Antonescu Adrian-Bogdan , Vaideanu Petru-Cosmin , Nagavciuc Viorica
Published: March 2024

In this study, we have created a 172-year historic drought catalogue for Romania by applying both the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) to 16 long-term meteorological records/stations, covering the period 1852 – 2023. The long-term meteorological records together with documentary sources (e.g., newspapers, meteorological archives) spanning the last 172 years, are used to analyze the spatio-temporal patterns of variability, trends, and potential drivers of drought conditions, thus contributing to a nuanced understanding of Romania's hydroclimatic conditions over time. The results based on the SPEI point to the fact that the southern and eastern parts of Romania are becoming drier due to an increase in the potential evapotranspiration and mean air temperature, especially after the 1990’s. By contrast, the SPI drought index does not reveal these changes in the drought variability, mainly due to the fact that the precipitation does not exhibit a significant change. Five major drought-rich periods, in terms of duration and severity, were identified at the country level from 1852–2023, based on SPEI: 1866 – 1867, 1918 – 1920, 1947 – 1948, 2000 – 2001, and 2019 – 2022, respectively. The most pronounced drought event occurred during 2019 – 2022, followed by the 1866 – 1867 event. When analyzing the SPI-based events, similar results are found over the period 1852 – 1980, but the drought event from 2019 – 2022 is not captured by the SPI index. The most pronounced drought event, based on SPI, is the 1866 – 1867 event, followed by the 1919 – 1920 event. Nevertheless, due to the influence of the Carpathian Mountains, there are also strong regional differences in the drought events and their magnitude, with the southern and eastern parts of Romania being more affected by long-lasting drought events compared to the north-western part. Highlighting the above, a Drought Atlas for Romania (1852 – 2023) was developed using long-term meteorological data, which can provide comprehensive information on drought occurrence, magnitude and impacts over a period that goes beyond the currently available products.
Performance of deep learning algorithms on obtaining geotechnical properties of unconsolidated material to improve input data for regional landslide susceptibility studies
Authors: Kurka Margit
Published: March 2024

The presented study implements existing deep learning (DL) algorithms, an artificial intelligence approach, to extract geotechnical properties about unconsolidated material from photographs. The ultimate goal of this approach lies in facilitating, aiding and simplifying the collection of often missing data about unconsolidated bedrock cover relevant in regional landslide susceptibility studies.  Current research aims at answering, if existing DL algorithms (e. g. Buscombe’s (2020) Sedinet algorithm), developed for granular, often well-sorted sediments, can also perform well with poorly-sorted sediments. It also inquires, if, which and how well geotechnical properties, as described in soil classification standards like ISO 14688-1:2017-12 (EU) and ASTM D2487-17e1 (USA), can be directly or indirectly obtained through DL analysis of photographs. The study approaches these questions by initially building a DL model based on several thousand photographs of 240 samples of unconsolidated material plus their several hundred laboratory sieve residue samples. In a previous project, the 240 samples of mostly alluvial, colluvial, eolian and glacial sediments had been collected from different geological environments within the state of Styria, Austria. Grain size distribution (GSD) and other soil classification parameters, obtained through field and laboratory testing, exist for these samples and have been provided as courtesy by the Land Steiermark (State of Styria).  In the current study this knowledge about geotechnical properties of the samples allows attribution of this information to each of the several thousand photographs, which were taken with three different cameras under controlled conditions. The DL model uses several hundred of these photographs with their associated attributes as training and test data to build a prediction model. The validation of thus derived model in regard to its performance is achieved with selected photographs, not yet used in the training and testing. Results of this approach allow a discussion about applicability, emerging limitations and possible improvements in regard to predicting geotechnical parameters, particularly GSD, for unconsolidated material using existing DL algorithms. As a consequence the results and drawn conclusions also warrant an outlook and contemplation on how, if and in what way the method can aid and simplify field mapping and the collection of relevant input data for regional landslide susceptibility studies.  
Methane emissions from Dutch peatlands measured by a national eddy covariance network
Authors: Buzacott Alexander , Kruijt Bart , Bataille Laurent , Berghuis Hanne , Biermann Jan , van Giersbergen Quint , Fritz Christian , Nouta Reinder , van den Berg Merit , van der Velde Ype , van Huissteden Jacobus
Published: March 2024

Drained peatlands need to be rewetted to reduce carbon dioxide (CO2) emissions caused by microbial peat oxidation and to limit soil subsidence. Raising groundwater levels will subsequently increase the chance of methane (CH4) emissions, a much more potent greenhouse gas (GHG) gas than CO2. While intact peatlands are long-term carbon sinks and have a net cooling effect, despite the CH4 emissions, how disturbed peatlands will respond to rewetting is less certain. There are several rewetting strategies outside of returning the land to unproductive uses, such as paludiculture (agriculture on inundated soils) and installing water infiltration systems (WIS) in pastures.In the Netherlands, more than 85% of the peatlands are used for agriculture and have been extensively drained. Rewetting these peatlands is necessary to reduce CO2 emissions, however the effect this will have on CH4 emissions needs to be understood such that optimal rewetting strategies can be chosen to minimise GHG emissions. In this presentation, we report our efforts into monitoring CH4 emissions across Dutch peatlands with a network of eddy covariance (EC) systems since 2020 for the Netherlands Research Programme on Greenhouse Gas Dynamics in Peatlands and Organic Soils (NOBV) project. Fluxes of CO2 and CH4 have been observed across 20 field sites that cover the current Dutch peatland extent using a combination of permanent and mobile (alternating between two paired sites) EC towers that measured the land uses of paludiculture, semi-natural, pastures with WIS, pastures with high and low groundwater levels, and a lake. We focus on the main drivers of CH4 emissions in Dutch peatlands, evaluate the impact of land use on annual CH4 emissions, and emission upscaling.
MAGIC – investigating a solution for a worst-case scenario
Authors: Weigelt Matthias
Published: March 2024

The Mass-Change and Geosciences International Constellation (MAGIC) is planned to consist of two satellite pairs measuring the variations in the Earth’s gravitational field. The first pair launched into a near-polar orbit is planned to be launched in 2028 followed by a second pair to be launched in an inclined orbit no later than 2032. Considering the planned lifetime of seven year, an overlap of 3 years is anticipated. However, it is possible that the first pair is failing due to unforeseen circumstances before the launch or during the early phase of the second pair. The second pair will thus the only source for gravity field recovery resulting in an incomplete coverage of the Earth. The usual approach is to constrain the solutions, e.g. by Tikhonov or using a Kaula rule. This study investigates such a worst-case scenario but with a different approach. We consider a single GNSS-equipped satellite in a near-polar orbit that will contribute high-low satellite-to-satellite observations from GNSS to a common gravity field solution. We present the contribution of this observation type to the solution and quantify the degradation compared to the double pair and the improvement compared to a constrained solution. 
Understanding Changes in Iceland’s Streamflow Dynamics in Response to Climate Change
Authors: Helgason Hörður Bragi , Gunnarsson Andri , Sveinsson Óli Grétar B. , Nijssen Bart
Published: March 2024

Anthropogenic climate change is profoundly altering the hydrological cycle in high-latitude regions. Iceland, with its abundant hydrological and glaciological data, provides a unique opportunity to study the effects of climate change on streamflow in snow- and glacier melt dominated catchments. The country's reliance on hydropower, as the top electricity producer per capita globally, highlights the critical need for understanding these changes.In Iceland, the average temperature has risen significantly in recent decades, outpacing the global warming trend. Despite this warming, increased precipitation has led to more extensive snow cover and depth in some regions. Glaciers have experienced a loss in area and mass, soil temperatures have risen, and vegetation has increased. However, the impacts of these environmental shifts on streamflow remain largely unexplored.Our study utilizes the newly released LamaH-Ice dataset, encompassing streamflow observations from mainly undisturbed watersheds, atmospheric forcings from climate reanalyses and catchment characteristics, to investigate Iceland's streamflow dynamics changes over recent decades. We analyze annual, seasonal, and monthly streamflow volumes, spring freshet timing, and extreme flow events, correlating these changes with environmental conditions and catchment attributes.The results suggest that streamflow regime alterations are influenced by multiple factors, including geographic location, topography, and river type. The findings offer crucial insights into Iceland's hydrological changes amid rapid climatic shifts, with broader implications for reservoir operations and water resource management. This study not only enhances our understanding of Icelandic hydrology but also contributes to global knowledge on climate-induced hydrological changes.
Impact of increased evaporation from an increasingly ice-free Arctic on land precipitation
Authors: Liu Yubo , Tang Qiuhong
Published: March 2024

The loss of Arctic sea ice is conducive to more Arctic evaporation, which can alter precipitation through moisture cycling and transport. However, the extent of this influence remains uncertain. Our work focuses on Arctic seas where seasonal sea ice has retreated significantly. The Arctic evaporation was tracked to establish a link between changes in both sea ice and precipitation over land during the cold season (October to March). Our results show a significant one-third increase in Arctic moisture contribution to land precipitation. Despite Arctic moisture comprising a relatively small proportion of land precipitation, its heightened contribution significantly influenced the precipitation, especially over lands adjacent to the Arctic. Our findings highlight that the progressively ice-free Arctic tends to contribute to a gradual yet discernible shift in the climatological land precipitation, which may lead to an elevated risk of extreme disasters.
Which willows for Soil and Water Bioengineering structures on high-elevation streambank? In situ study of cutting capacity of six species
Authors: Francois Adeline , Rousset Juliette , Didier Marie , Evette André
Published: March 2024

Soil and Water Bioengineering techniques are a sustainable alternative to civil engineering to prevent erosion processes that threaten streambank stability. These techniques are still poorly developed and documented in subalpine streams, where climatic and hydrological conditions are particularly challenging. It is well known that the success and integration of a SWBE technique is best achieved when it is possible to use indigenous plants and plant material. At the subalpine belt, shrub and tree willows are among the dominant woody species on streambanks. Even if a few past studies claimed that they could play a full role in stabilising the banks of high-elevation streams, their biotechnical characteristics are nearly unknown. The unique information available comes from empirical and not detailed results showing a low resprouting rate of cuttings. Still, no data or information on these capacities are known in the subalpine environment. We conducted an in situ experimental study to assess the cutting capacity of willow species at high elevations to improve SWBE on these streambanks.Six willow species were selected: three subalpine shrub species (Salix caesia, S.foetida, S.hastata) and three tree species (S.daphnoides, S.myrsinifolia, S.purpurea) presents in both foothill and subalpine belt. The cuttings were planted in three different experimental sites with varied conditions: in Val Thorens at 1 800 m on subalpine grassland habitat and in Lautaret garden at 2 100 m on subalpine tall herb communities and on sand. For each site, 52 cuttings per species were planted in October 2022. In September 2023, at the end of the vegetative period, the recovery rate and the cuttings' aerial growth were assessed. Aerial growth was estimated by biomass dry weight and cumulative stem length.All recovery rates were above 70%. In Val Thorens, S.purpurea had a recovery rate of 100%, S.hastata 80% and the other species between 88 and 96%. At the Lautaret garden on grassland, the recovery rates, ranged for all species from 71 (S.caesia) to 98% (S.purpurea). The recovery rates in the Lautaret garden on the sand were higher with 100% for S.caesia, S.foetida and S.purpurea and over 88% for the other three species. Despite differences in in situ conditions, all six species had excellent recovery rates for their use in SWBE structures. The willows growing on the sandy substrate at the Lautaret garden showed a higher growth rate. Within sites, there was no significant difference in growth between species. After the first year of growth, these six species seemed suitable for SWBE structures. Recovery rate and aerial growth will be re-estimated in autumn 2024, after the second growing season.
Arctic Meltponds: Automated Detection Algorithm Using Enhanced Machine Learning
Authors: Rösel Anja , Neckel Niklas , Jancauscas Vytautas
Published: March 2024

Melt ponds are pools of water that form during summer on the surface of the arctic ice. Due to the lower albedo, melt ponds absorb more solar radiation than surrounding ice and hence have higher temperature. This causes more water to melt, creating a feedback loop. This means that melt pond fraction in ice sheets is an important factor to consider in global climate and sea ice models. In situ measurements are difficult and expensive in terms of time and labor. Furthermore, these measurements can only cover limited areas. This makes using Earth Observation methods for this task particularly attractive.Until today, there is no sophisticated global melt pond data set available:Accurate methods may exist for determining melt ponds from Sentinel-2 data. The downside of using Sentinel-2 is that parts of the High Arctic are not covered by this mission.MODIS data covers the whole globe at least once every three days, but the downside of it is that MODIS resolution is much coarser (250m  vs. 10m). Since melt ponds are in general much smaller than 250m, it means that accurately capturing melt pond fraction from these data is difficult.We propose to address these issues by employing Deep Learning techniques. Namely, we use Sentinel-2 data to train a model to super-resolve MODIS images to higher resolution and to use all available MODIS bands and their surrounding pixels for information context when predicting melt pond and open water fractions.In addition, a thorough uncertainty quantification (UQ) will be applied by using the UQ Toolbox.
Study of greenhouse gases emitted by biomass burnings with a decade of infrared observation of CO2 and CH4 by IASI
Authors: Bon Victor , Crevoisier Cyril , Capelle Virginie
Published: March 2024

Biomass burnings are one of the major sources of greenhouse gases in the atmosphere, impacting air quality, public health, climate, ecosystem dynamics, and land-atmosphere exchanges. In the tropics, South America represents about 10 % of the tropical emissions and present a large diversity of biomes and fire conditions. Over the last two decades, satellite observations have provided crucial information, notably via active fires detection, Fire Radiative Power (FRP) estimates and burned area (BA) measurements from imagers such as Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS). Global inventories (e.g., GFED, GFAS, FEER, QFED, etc.) heavily rely on these satellite-derived indicators to estimate emissions from biomass burnings. However, emissions derived from these various models can significantly differ among them and large uncertainties persist regarding fire emissions, their variability, and their links with several drivers (e.g., type of combustion, vegetation, transport, etc.).In this context, we propose a novel approach to estimate emissions from biomass burnings by directly using greenhouse gas concentrations in the atmosphere derived from spaceborne observations. Leveraging a decade of observations from the Infrared Atmospheric Sounding Radiometer (IASI) on-board the three Metop satellites, we have access to an unprecedented spatial coverage of global mid-tropospheric CO2 and CH4 concentrations twice a day (9:30 AM/PM LT). From this dataset, we developed the Daily Tropospheric Excess (DTE) method, which is based on the use of the diurnal cycle of biomass burnings and the vertical transport of their emissions to link the observed diurnal variations of the mid-tropospheric CO2 and CH4 concentrations to burnings activities.We will demonstrate the relevance of the DTE for analyzing CO2 and CH4 emissions from various type of burnings, biomes, and human activities across South America. This will be achieved by comparing DTE with existing indices of fire characteristics such as FRP and BA from MODIS/SUOMI satellite observations, alongside global emissions databases like GFED and GFAS. Globally, we will show that their spatial distribution, seasonal intensity, and interannual variability are consistent with each other, even if some differences have been found and will be discussed. Additionally, geostationary data from GOES-R, MSG, and Himawari-8 satellites will be used to analyze the impact of observation times on the differences observed between the various datasets and the DTE.
Isochronally constrained ice flow evolution of Dronning Maud Land, Antarctica during the Last Glacial Period
Authors: Visnjevic Vjeran , Bodart Julien , Hermant Antoine , Wirths Christian , Spezia Emma , Sutter Johannes
Published: March 2024

To improve the robustness of future simulations of ice flow across the Antarctic continent as well as the projections of sea-level rise accompanying it, it is necessary to improve our understanding of the past evolution of ice dynamics. This is specially the case considering the lack of constraints on climate and basal conditions on the regional scale. To address this, we use high resolution regional ice flow modeling combined with radar obtained repositories of internal reflection horizons and ice core data, to constrain the ice flow evolution of both grounded and floating ice across the Dronning Maud Land during the Last Glacial Period. Combining the modeling results obtained using the ice sheet model PISM with radar and ice core data will enable us to improve our knowledge of conditions at the ice base, but also provide an opportunity to test and compare a range of potential climate reconstructions. The presented workflow will further be expanded to other basins in Antarctica as well as to the interglacial-glacial transition, and the results will be used to improve future simulations of ice flow across Antarctica.
Novel instruments for flood risk mitigation in small, fast reacting watersheds by means of sensor integration, advanced computing and socio-technical translation
Authors: Reggiani Paolo , Fischer Svenja , Kolb Andreas , Van Laerhoven Kristof , Schubert Cornelius
Published: March 2024

Increasingly frequent extreme hydro-meteorological events, attributable among others to non-stationary climate, can lead to devastating flooding and cause large costs to affected societies. A recent and prominently featured example includes the July 2021 flood in Germany with more than 140 casualties and billions of Euros in material damages. Such types of events could strike other parts of Europe at any time. Especially small-scale systems are likely to be affected more frequently by high intensity events. To ready society against such occurrences, preparedness needs to be increased form different viewpoints: 1) extreme value statistics and forecasting, 2) real-time data acquisition and high performance computing, 3) socio-technical translation into domains.First, fast and accurate forecasting with reduced uncertainties requires integration of predictors at different spatial and temporal scales. Such predictors must be conditioned by local, real-time information retrieved from multi-sensor systems, whereby special attention is devoted to extreme event statistics. The uncertainty of prediction resulting from sources like forecast model deficiencies, measurement errors, or various critical system states, need to be adequately represented, as well as de-biased and sharpened in real-time through statistical approaches.Second, real-time acquisition of local data plays an essential role in risk detection. To this end, novel sensor system integration must provide robust real-time information, either on the basis of flexibly positioned or body-mounted devices. The extended complexity of the methods involved make the efficiency of the computational methods and the integration of model-driven physical processes with data driven approaches and ubiquitous computing as key factor. This also concerns the reduction of computational complexity without compromising efficacy as well as the efficient interoperability between different system components or scales.Third, such novel instruments need to be socio-technically translated for decision-makers as well as emergency services and citizens. User involvement needs to be bidirectional, that is, stakeholders and their concerns must be understood and taken seriously for them to gain confidence and adopt innovative, multi-sensor integrated forecasting technologies for risk mitigation. Moreover, proper visual mapping of hazardous situations including uncertainties and potential options for decision-support need to be provided. 
Particulate organic carbon dynamics of a depositional area in a high-energy shelf environment
Authors: Hanz Ulrike , Wei Bingbing , Fovonova Vera , Sander Lasse , Kopte Robert , Schröder Henning , Kasten Sabine , Holtappels Moritz
Published: March 2024

The marine carbon pump can sequester CO2 from the atmosphere in marine sediments. Much of the carbon is taken up from the atmosphere in productive coastal waters, whereas carbon deposition often takes place in deeper areas. Tidal- and wave activity in shallow waters are producing a high energy environment where constant resuspension counteracts sinking and prevents accumulation of organic matter at the seafloor, a process that is reflected by the ubiquitous presence of non-accumulating sands covering more than 50% of the shelf areas. Nevertheless, in some shallow coastal areas, we find organic matter accumulation even under high energy conditions. One example is a 500km2 region in the German North Sea, called the Helgoland Mud Area, where local hydrodynamic conditions cause the trapping of suspended particulate matter (SPM) and subsequent sedimentation. In this study we describe the particle transport dynamics over a diurnal tidal cycle, observed via a benthic lander deployment, repeat CTDs and analysis of reactivity and isotopic composition of the particulate organic matter (POM). Driven by tidal currents, we found SPM concentrations in the bottom water fluctuating between 35 and 130 mg/l, resulting in a total amount of suspended particles within the water column of up to 400 g /m2. The constant resuspension and thus remineralisation of associated POM led to a one order of magnitude decreased carbon specific mineralization rate, compared to the upper water column. From eddy covariance measurements, the SPM resuspension flux was calculated and counteracting SPM sinking velocities of around 6 x 10-4 m/s were derived. Interestingly, the POM background under stagnant current conditions showed more terrestrial d13C values compared to the resuspended POM during strong current conditions, suggesting distinct particle size classes and transport conditions for marine and terrestrial POM, respectively. The locally observed resuspension dynamics helps to understand the larger hydrodynamic regime that controls sediment accumulation, and ultimately the carbon sequestration in the area. 
Precise orbit determination for the maneuvering satellites
Authors: Kalarus Maciej , Arnold Daniel , Padovan Sebastiano , Dach Rolf , Jäggi Adrian
Published: March 2024

Routine and occasional/emergency orbital maneuvers are essential for many satellites to maintain their optimal trajectory and to achieve a wide range of operational objectives in a continuous way. However, incorrectly modelled highly dynamic changes of the orbit during maneuvers can significantly reduce the accuracy of precise orbit determination (POD) to an extent that is unacceptable for scientific requirements.The aim of this study is to investigate strategies for maneuver handling of Low Earth Orbiting (LEO) satellites based on observations from on-board GNSS receivers complemented by a priori knowledge of thrust intensity and maneuver epochs that are provided by telemetry measurements. Assuming that the initial information is subject to instrumental biases, corrections for the maneuver accelerations are estimated together with nominal deterministic and pseudo-stochastic orbit parameters such as instantaneous velocity changes and piecewise constant accelerations.Several estimation strategies are tested using recent developments in the Bernese GNSS software, which is continuously maintained and further developed at the Astronomical Institute of the University of Bern (AIUB). In particular, the test cases cover single long/short maneuvers as well as two consecutive maneuvers within one orbital arc. Depending on the length of the maneuver and the number of available observations, different polynomial functions (up to degree 2) are used to model the thrust acceleration. Finally, the quality of the solution is evaluated internally by comparing it to the days without maneuvers and by checking the consistency between the reduced dynamic and kinematic orbit. External validation is also performed with respect to the official independent products.