bluuebunny/crossref_metadata_2025 huggingface dataset:
Western Marsh Harriers Circus aeruginosus from nearby breeding areas migrate along comparable loops, but on contrasting schedules in the West African–Eurasian flyway
Authors: Vansteelant Wouter M. G. , Klaassen Raymond , Strandberg Roine , Janssens Kjell , T´Jollyn Filiep , Bouten Willem , Koks Ben J. , Anselin Anny
Published: May 2020

Much of our knowledge about migratory behaviour comes from single-population tracking studies. Some such studies had a considerable impact on migration research at large. However, it is often unclear how representative such studies are for other populations, even of the same species. We compared migration corridors and schedules of GPS-tracked adult Western Marsh Harriers (Circus aeruginosus) from two nearby breeding areas within the West African–Eurasian flyway: the Low Countries (LC, N = 6) and southern Sweden (SW, N = 4). Assuming the migration patterns revealed by decade-old satellite-tracking of SW harriers are representative for the species, we expected LC harriers to make a narrow loop migration involving a western spring detour out of Africa, but according to an earlier schedule tuned to the earlier onset of spring in the Low Countries. In autumn, LC harriers migrated significantly further west than SW harriers all the way to their common non-breeding range. In spring, both groups detoured westward across the Sahara, as expected, and diverged towards their breeding areas after reaching mainland Europe. LC harriers migrated slightly earlier than SW harriers in autumn. However, LC harriers unexpectedly left their non-breeding sites up to a month before SW harriers, after which they made long stop-overs in northwest Africa. Late-departing SW harriers forewent these stop-overs, and thus caught up with LC harriers in northwest Africa, so that both groups reached their breeding areas simultaneously. While we anticipated strong overlap between LC and SW migration corridors in spring, we failed to anticipate the earlier and more variable spring departures of LC harriers. Early spring departures did not result in earlier arrivals by LC harriers. Instead, we suspect they departed early to escape faster deteriorating foraging conditions at their non-breeding sites. Such environmental modulation of migratory behaviour may complicate generalization of migration patterns in other birds.
A typology for analysing mitigation and adaptation win-win strategies
Authors: Meissner Frank , Haas Armin , Hinkel Jochen , Bisaro Alexander
Published: May 2020

A sustainability transition in line with achieving global climate goals requires the implementation of win-win strategies (WWS), i.e. socioeconomic activities that enable economic gains while simultaneously contributing to climate change mitigation or adaptation measures. Such strategies are discussed in a variety of scientific communities, such as sustainability science, industrial ecology and symbiosis and circular economy. However, existing analyses of win-win strategies tend to take a systems perspective, while paying less attention to the specific actors and activities, or their interconnections, which are implicated in win-win strategies. Moreover, they hardly address adaptation WWS. To address these gaps and support the identification and enhancement of WWS for entrepreneurs and policy-makers, we propose a typology of WWS based on the concept of a value-consumption chain, which typically connects several producers with at least one consumer of a good or service. A consideration of these connections allows an evaluation of economic effects in a meso-economic perspective. We distinguish 34 different types of WWS of companies, households and the state, for which 23 real-world examples are identified. Further, contrary to prevailing views on the lack of a business case for adaptation, we do identify real-world adaptation WWS, though they remain underrepresented compared with mitigation WWS. Our typology can be used as an entry point for transdisciplinary research integrating assessment of individual transformative socioeconomic activities and highly aggregated approaches assessing, e.g. the macro-economic effects of WWS.
Correction to: Chronic toxicity of tire and road wear particles to water- and sediment-dwelling organisms
Authors: Panko Julie M. , Kreider Marisa L. , McAtee Britt L. , Marwood Christopher
Published: May 2020

An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Communicating Dissent in Judicial Opinions: A Comparative, Genre-Based Analysis
Authors: Goźdź-Roszkowski Stanisław
Published: May 2020

To date, there has been surprisingly little research on separate opinions in legal linguistics literature. Scarce attention has been paid to the linguistic and communicative aspects of how judges frame their disagreements. This paper serves as one of the early attempts to examine the institution ofvotum separatum, or separate opinion, from a comparative, cross-language perspective using a linguistic methodology. The evidence indicates a clear similarity in terms of how separate opinions are integrated within the respective macrostructures of the US SC opinions and the Constitutional Tribunal judgments. This study demonstrates how judges tend to employ highly formulaic expressions to signal their disagreement despite the absence of clear guidelines to communicate such stances. The analysis of their frequent phraseology demonstrates that declaringvotum separatumand providing its justification are two different acts, not only legally but also linguistically, especially in terms of their formulaicity. The Polish and American justifications differ in the degree to which the frequent phraseology reveals peculiarities of judicial argumentation in addition to the presence of strong evaluative concerns.
Single-domain free logic and the problem of compositionality
Authors: Rami Dolf
Published: May 2020

In this paper, I will defend a new compositional semantics for single-domain free logic. This semantics makes use of a distinction between the semantic value of a singular term and its semantic referent. The semantic value of a singular term is conceived of as a set that either contains the semantic referent or no element at all. The semantic referent is the object that the term designates. Before I will introduce this new semantics for single-domain predicate and an S5-type modal logic in detail, I will present five related problems of compositionality of the standard semantics for these logical systems. After that I will show in detail how my new proposed alternative semantics can be used to solve nearly all of the outlined five problems.
The quantification of bisphenols and their analogues in wastewaters and surface water by an improved solid-phase extraction gas chromatography/mass spectrometry method
Authors: Caban Magda , Stepnowski Piotr
Published: May 2020

The study focused on the application of GC in the quantitative analysis of bisphenols and their analogues (12 analytes), and the improvement of solid-phase extraction for the whole water analysis of complex water samples. The role of silylation in the qualitative and quantitative analysis of bisphenols was investigated. Partial degradation occurred for selected targets during hot injection with the presence of a silylation agent. A PSA (primary and secondary amines) sorbent placed on the top of the solid-phase extraction (SPE) column sorbent was found to be a matrix component trap, mostly for humic acids. The whole water analysis was performed by washing the filters with methanol and recycling the extract to the sample. The validation of SPE-GC/MS(SIM) gave limits of detection of 1–50 ng/L for ten target bisphenols with a method recovery of between 87 and 133%. The application of the method was tested by the analysis of wastewater sampled from three wastewater treatment plants located in Poland, and municipal surface waters. The only analytes found were BPA and BPS, within the range of 16–1465 ng/L and < MDL-1249 ng/L in wastewater, and 170–3113 ng/L and < MDL-1584 ng/L in surface water, respectively.
Multilevel marketing: optimizing marketing effectiveness for high-involvement goods in the automotive industry
Authors: Niemand Thomas , Kraus Sascha , Mather Sophia , Cuenca-Ballester Antonio C.
Published: May 2020

With a surge in communication channels increasing the complexity of today’s media landscape, companies face new challenges concerning the allocation of their advertising budget. As consumers become increasingly more autonomous in gathering information from the channels they deem most suitable, they encounter several touchpoints on their customer journey. Marketers struggle with the assessment of channel effectiveness. Despite a rise in research on the topic of attribution, findings and methodology vary greatly regarding variables and outcomes. The question of how to determine suitable attribution modeling that optimizes advertising effectiveness thus remains unanswered. This article aims at assessing which factors influence channel effectiveness in the context of high-involvement goods. Based on a unique dataset from a multinational car manufacturer, a Structural Vector Autoregressive model has been formulated revealing channel interactions, lagged effects of advertising and conversion funnel stages as being highly influential factors concerning channel effectiveness.
Quantification of the Phase Transformation Kinetics in High Chromium Cast Irons Using Dilatometry and Metallographic Techniques
Authors: Guitar María Agustina , Scheid Anna , Nayak U. Pranav , Nakamura Leandro , Ponge Dirk , Britz Dominik , Mücklich Frank
Published: May 2020

Further development of high chromium cast irons (HCCI) is based on tailoring the microstructure, necessitating an accurate control over the phase transformation and carbide precipitation temperatures and can be achieved by thermal treatments (TT). To understand the underlying mechanisms controlling the transformation kinetics during the different stages of the TT, it is imperative to adjust the TT parameters to have information of the transformations occurring during non-thermal and isothermal heating cycles, since proper selection of the TT parameters ensures the optimum use of the alloying elements. In this work, the boundaries of the phase transformations for a HCCI containing 26 wt pct Cr for different cooling rates (continuous cooling transformation, CCT, diagram) were established by applying dilatometric measurements. Based on the CCT diagram, a temperature-time-transformation (TTT) diagram was constructed by isothermally holding the samples until complete phase transformation. For determining the initiation and finishing of the transformation, the lever rule assisted by derivatives was applied. The phases present after transformation were determined by combining X-ray diffraction (XRD) and metallographic characterization using optical microscopy (OM) and scanning electron microscopy (SEM). Finally, the data obtained from the dilatometer was experimentally verified by isothermally heat treating some samples using laboratory furnaces. The transformed phase fraction from OM and SEM images was then correlated to the fraction obtained from the TTT diagram.
Omalizumab Updosing in Chronic Spontaneous Urticaria: an Overview of Real-World Evidence
Authors: Metz Martin , Vadasz Zahava , Kocatürk Emek , Giménez-Arnau Ana M.
Published: May 2020

Chronic spontaneous urticaria (CSU) is defined as the spontaneous development of itchy hives and/or angioedema due to known or unknown causes that last for at least 6 weeks. At any given time, CSU is believed to affect 0.5–1% of the global population. Omalizumab (a recombinant, humanized anti-immunoglobulin-E antibody) is the only approved treatment for antihistamine refractory CSU. However, ~ 30% of patients remain symptomatic at licensed doses of omalizumab 150 mg and 300 mg, even after a treatment period of over 6 months. In the recent years, there have been several studies on updosing of the drug, suggesting that the individualized approach for urticaria treatment with omalizumab is useful. In this article, we provide an overview of these studies and the real-world data on omalizumab updosing as it became necessary to obtain complete CSU symptom control in a proportion of patients. Published observational studies (from June 2003 to October 2019) on the updosing of omalizumab in CSU were identified using PubMed and Ovid databases. Reports mainly show that updosing/dose adjustment evaluated with the assessment of disease activity (Urticaria Activity Score) and control (Urticaria Control Test) achieves better clinical response to omalizumab with a good safety profile in a pool of patients with CSU. These real-world data will provide an overview of updosing of omalizumab in CSU and aid in setting informed clinical practice treatment expectations.
Plasma Erythropoietin, IL-17A, and IFNγ as Potential Biomarkers of Motor Function Recovery in a Canine Model of Spinal Cord Injury
Authors: Zhang Lijian , Zhuang Xiaoqing , Chen Yao , Niu Zhanfeng , Xia Hechun
Published: May 2020

Traumatic spinal cord injury (SCI) is a devastating neurological disease for which an accurate, cost-effective prediction of motor function recovery is in pressing need. A plethora of neurochemical changes involved in the pathophysiological process of SCI may serve as a new source of biomarkers for patient outcomes. Five dogs were included in this study. We characterized the plasma cytokine profiles in acute phase (0, 1, and 3 days after SCI) and subacute phase (7, 14, and 21 days after SCI) with microarray analysis. The motor function recovery following SCI was monitored by Olby scores. The expression level of differentially expressed proteins (DEPs) was measured with enzyme-linked immunosorbent assay (ELISA). Then, correlations with the Olby scores and receiver operating characteristic curve (ROC) analysis were performed. We identified 12 DEPs including 10 pro-inflammatory and 2 anti-inflammatory cytokines during the 21-day study period. Among those, the expression levels of erythropoietin (EPO), IL-17A, and IFNγ significantly correlated with the Olby scores withR2values of 0.870, 0.740, and 0.616, respectively. The results of the ROC analysis suggested that plasma EPO, IL-17A, and IFNγ exhibited a significant predictive power with an area under the curve (AUC) of 0.656, 0.848, and 0.800 for EPO, IL-17A, and IFNγ, respectively. Our results provide a longitudinal description of the changes in plasma cytokine expression in the acute and subacute stages of canine SCI. These data reveal novel panels of inflammation-related cytokines which have the potential to be evaluated as biomarkers for predicting motor function prognosis after SCI.
Update of the recommendations for the determination of biomarkers in colorectal carcinoma: National Consensus of the Spanish Society of Medical Oncology and the Spanish Society of Pathology
Authors: García-Alfonso P. , García-Carbonero R. , García-Foncillas J. , Pérez-Segura P. , Salazar R. , Vera R. , Ramón y Cajal S. , Hernández-Losa J. , Landolfi S. , Musulén E. , Cuatrecasas M. , Navarro S.
Published: May 2020

In this update of the consensus of the Spanish Society of Medical Oncology (Sociedad Española de Oncología Médica—SEOM) and the Spanish Society of Pathology (Sociedad Española de Anatomía Patológica—SEAP), advances in the analysis of biomarkers in advanced colorectal cancer (CRC) as well as susceptibility markers of hereditary CRC and molecular biomarkers of localized CRC are reviewed. Recently published information on the essential determination of KRAS, NRAS and BRAF mutations and the convenience of determining the amplification of human epidermal growth factor receptor 2 (HER2), the expression of proteins in the DNA repair pathway and the study of NTRK fusions are also evaluated. From the pathological point of view, the importance of analysing the tumour budding and poorly differentiated clusters, and its prognostic value in CRC is reviewed, as well as the impact of molecular lymph node analysis on lymph node staging in CRC. The incorporation of pan-genomic technologies, such as next-generation sequencing (NGS) and liquid biopsy in the clinical management of patients with CRC is also outlined. All these aspects are developed in this guide, which, like the previous one, will remain open to any necessary revision in the future.
Science, Sin, and Sexuality in Roman-Catholic Discourses in the German-Speaking Area, 1870s to 1930s
Authors: Horntrich Paul M.
Published: May 2020

Even though there is a substantive body of research on the emergence of sexual science and the overall scientification of sexuality that in Europe took place around 1900, we lack studies that focus on Roman-Catholic responses. This article addresses this gap by analyzing the Roman-Catholic discourse on sexuality between the 1870s and 1930s in the German-speaking area. Investigating papal encyclicals, pastoral letters, prayer, devotion, and instruction booklets, this paper argues that Roman-Catholic authors adopted scientific rhetoric and argumentation patterns in order to justify the Catholic sexual morality anew under the conditions of a society that became increasingly secularized. This adoption changed the Catholic evaluation of sexuality itself as well: Originally seen as a phenomenon of personal moral conduct, sexuality’s societal and political importance in terms of a nation’s health was increasingly acknowledged since the outbreak of World War I. Scientific concepts of health and disease increasingly replaced the formerly all-pervading theological notion of sinfulness. Furthermore, the Catholic sexual discourse was markedly gendered. By primarily discussing female sexuality, Catholic authors hoped to support the traditional Catholic family ideal that had come under pressure due to the increased secularization of society.
Neurostimulation, doping, and the spirit of sport
Authors: Pugh Jonathan , Pugh Christopher
Published: May 2020

There is increasing interest in using neuro-stimulation devices to achieve an ergogenic effect in elite athletes. Although the World Anti-Doping Authority (WADA) does not currently prohibit neuro-stimulation techniques, a number of researchers have called on WADA to consider its position on this issue. Focusing on trans-cranial direct current stimulation (tDCS) as a case study of an imminent so-called ‘neuro-doping’ intervention, we argue that the emerging evidence suggests that tDCS may meet WADA’s own criteria (pertaining to safety, performance-enhancing effect, and incompatibility with the ‘spirit of sport’) for a method’s inclusion on its list of prohibited substances and methods. We begin by surveying WADA’s general approach to doping, and highlight important limitations to the current evidence base regarding the performance-enhancing effect of pharmacological doping substances. We then review the current evidence base for the safety and efficacy of tDCS, and argue that despite significant shortcomings, there may be sufficient evidence for WADA to consider prohibiting tDCS, in light of the comparable flaws in the evidence base for pharmacological doping substances. In the second half of the paper, we argue that the question of whether WADA ought to ban tDCS turns significantly on the question of whether it is compatible with the ‘spirit of sport’ criterion. We critique some of the previously published positions on this, and advocate our own sport-specific and application-specific approach. Despite these arguments, we finally conclude by suggesting that tDCS ought to be monitored rather than prohibited due to compelling non-ideal considerations.
The Centrality of Mindfulness-Related Meditations in Early Buddhist Discourse
Authors: Anālayo Bhikkhu
Published: May 2020

This article surveys references to mindfulness-related meditations found in Pāli discourses in the first five chapters of the Majjhima-nikāya and their parallels, showing the ubiquity of a concern with contemplative practices in early Buddhist thought. Such concerns were, according to these texts, not confined to monastics, but also included lay practitioners. Overall, the impression emerges that meditation as a key element of early Buddhist thought stands within a wider doctrinal and even cosmological context.
Excess serum uric acid is associated with metabolic syndrome in obese adolescent patients
Authors: Foster Christy , Smith Loretta , Alemzadeh Ramin
Published: May 2020

Purpose

Obesity is a significant cause of morbidity in adolescents. Excess serum uric acid (SUA) has been associated with metabolic syndrome (MS) among adults. We evaluated the relationship among SUA and markers of insulin resistance (IR) and low-grade inflammation in obese adolescents with and without MS.

Methods

The study was a retrospective chart review of obese patients seen in the LeBonheur Endocrine clinic seen in clinic between September 2016 and December 2017. MS was defined as according to the International Diabetes Federation. Body mass index standard deviation score (BMI SDS), systolic blood pressure (SBP), diastolic blood pressure (DBP), body composition, fasting lipids, glucose, high sensitivity c-reactive protein (hs-CRP), serum uric acid (SUA), HbA1c, alanine transferase (ALT), aspartate transferase (AST), insulin and homeostatic model assessment for insulin resistance (HOMA-IR) were extracted from the charts of the 100 obese adolescents (57% female).

Results

Hyperuricemia (SUA >357 umol/L) was present in 41.8% of entire cohort without significant ethnic/racial and/or gender differences. Adolescents with HUA had higher FM, SBP, HbA1c, insulin and HOMA-IR (p < 0.05). While SUA was positively correlated with FM, SBP, HOMA-IR and HbA1c, and triglyceride:HDL-C ratio (TG:HDL-C) (p < 0.05). MS was identified in 32.8% of cohort. MS showed significantly higher FM, SBP, DBP, SUA, ALT, insulin, HOMA-IR, and TG:HDL-c ratio than non-MS subgroup (p < 0.05). FM was positively correlated with SUA, HOMA-IR and hsCRP (p < 0.01).

Conclusions

In our study, those with hyperuricemia (HUA) showed elevated markers of metabolic syndrome including BP, serum glucoses, IR and triglycerides. In our cohort, SUA appears to correlate with MS comorbidities.
Design and Investigation of a Touch Gesture for Dividing in a Virtual Manipulative Model for Equation-solving
Authors: Janßen Thomas , Vallejo-Vargas Estela , Bikner-Ahsbahs Angelika , Reid David A.
Published: May 2020

Physical models for equation solving typically lack feedback regarding their appropriate use. Such feedback is possible in virtual environments and could be implemented in hybrid models. Based on an epistemological analysis, this article presents a touch gesture as a way for users to signal they want to divide both sides of an equation and a design for feedback on the use of this so-called ‘division gesture’. The design is investigated by contrasting a case study, in which students used an app with the division gesture, with a preparatory study where students had to perform corresponding actions on physical manipulatives. This investigation revealed insight into feedback functions, steps of understanding dividing with this touch gesture and, furthermore, showed problems that students have with the boundary case where the dividend is 0. The study informs possible improvements of the design of the division gesture and of the overall learning environment. The results are reflected on, in order to illuminate known problems of learning how to solve linear equations, and theorized to contribute to the wider discussion around the design of digital and physical manipulatives, in particular the design of modes of interaction enabled by new technologies.
Deep-Aligned Convolutional Neural Network for Skeleton-Based Action Recognition and Segmentation
Authors: Hosseini Babak , Montagne Romain , Hammer Barbara
Published: May 2020

Convolutional neural networks (CNNs) are deep learning frameworks which are well known for their notable performance in classification tasks. Hence, many skeleton-based action recognition and segmentation (SBARS) algorithms benefit from them in their designs. However, a shortcoming of such applications is the general lack of spatial relationships between the input features in such data types. Besides, non-uniform temporal scalings are a common issue in skeleton-based data streams which leads to having different input sizes even within one specific action category. In this work, we propose a novel deep-aligned convolutional neural network (DACNN) to tackle the above challenges for the particular problem of SBARS. Our network is designed by introducing a new type of filters in the context of CNNs which are trained based on their alignments to the local subsequences in the inputs. These filters result in efficient predictions as well as learning interpretable patterns in the data. Also, our DACNN framework can incrementally expand its deep structure based on the learning progress, which makes it flexible regarding different SBARS datasets. We empirically evaluate our framework on real-world benchmarks showing that the proposed DACNN algorithm obtains a competitive performance compared to the state of the art while benefiting from a less complicated yet more interpretable model.
COVID-19 Super-spreaders: Definitional Quandaries and Implications
Authors: Cave Emma
Published: May 2020

Uncertainty around the role ‘super-spreaders’ play in the transmission and escalation of infectious disease is compounded by its broad and vague definition. It is a term that has been much used in relation to COVID-19, particularly in social media. On its widest definition, it refers to a propensity to infect a larger than average number of people. Given the biological, behavioural and environmental variables relevant to infectivity, this might be pertinent to almost any infected individual who is not physically isolated from others. Nor is the term confined to individuals with a propensity to spread infectious disease: it can potentially be used to describe events, policies or settings. This article explores the use of the term and considers circumstances in which the wide definition can be problematic. One problem is that it can lead to undeserved apportionment of moral blame to alleged super-spreaders. Another is that it can detract from scientific investigation of the heterogeneity of COVID-19 transmission. The author calls for a clearer epidemiological definition.
‘What is Inconvenient for You is Life-saving for Me’: How Health Inequities are playing out during the COVID-19 Pandemic
Authors: Xafis Vicki
Published: May 2020

The COVID-19 pandemic has had a significant impact globally. Most affected, however, are those individuals and groups routinely disadvantaged by the social injustice created by the misdistribution of power, money, and resources. Simple measures that prevent the spread of COVID-19, such as frequent hand washing and social distancing, are unavailable to millions of people in the wealthiest of nations and in the poorest of nations. Disadvantaged groups are impacted more directly and in disproportionately higher numbers due to existing poor health, and the disruption of services central to securing an income and an education will have lasting consequences for their futures. The unintended effect of exclusionary government policies is that privileged citizens and healthcare systems are also at greater risk. This paper seeks to highlight the impact of COVID-19 on those already suffering health inequities through consideration of some of the social determinants of health on groups in affluent and poorer nations. It also highlights some of the factors that may assist in tackling health inequities as we emerge from this pandemic.
Mental Health First Aid in the UK: how important is First Aid when Professional Mental Health Services are in dire straits?
Authors: Mantzios Michail , Egan Helen , Cook Amy
Published: May 2020

Mental Health First Aid (MHFA) has become a trend that is taking over the medical and mental health world. While there are several manuscripts that are exemplifying the benefits of MHFA, the implications for people who undergo the MHFA training, for mental health services and medical and non-medical professions devoted to mental healthcare, have been ignored. In this short communication, we are arguing against MHFA not because we believe that the scheme is not beneficial, but more as a critical reflection as to where MHFA should stand in the mental health world, and how it should serve the people as a community investment company.
Sensitivity of Shelf Sea Marine Ecosystems to Temporal Resolution of Meteorological Forcing
Authors: Powley Helen R. , Bruggeman Jorn , Hopkins Jo , Smyth Tim , Blackford Jerry
Published: May 2020

Phytoplankton phenology and the length of the growing season have implications that cascade through trophic levels and ultimately impact the global carbon flux to the seafloor. Coupled hydrodynamic‐ecosystem models must accurately predict timing and duration of phytoplankton blooms in order to predict the impact of environmental change on ecosystem dynamics. Meteorological conditions, such as solar irradiance, air temperature, and wind speed are known to strongly impact the timing of phytoplankton blooms. Here, we investigate the impact of degrading the temporal resolution of meteorological forcing (wind, surface pressure, air, and dew point temperatures) from 1–24 hr using a 1‐D coupled hydrodynamic‐ecosystem model at two contrasting shelf‐sea sites: one coastal intermediately stratified site (L4) and one offshore site with constant summer stratification (CCS). Higher temporal resolutions of meteorological forcing resulted in greater wind stress acting on the sea surface increasing water column turbulent kinetic energy. Consequently, the water column was stratified for a smaller proportion of the year, producing a delayed onset of the spring phytoplankton bloom by up to 6 days, often earlier cessation of the autumn bloom, and shortened growing season of up to 23 days. Despite opposing trends in gross primary production between sites, a weakened microbial loop occurred with higher meteorological resolution due to reduced dissolved organic carbon production by phytoplankton caused by differences in resource limitation: light at CCS and nitrate at L4. Caution should be taken when comparing model runs with differing meteorological forcing resolutions. Recalibration of hydrodynamic‐ecosystem models may be required if meteorological resolution is upgraded.
Monthly and Episodic Dynamics of Summer Circulation in Lake Michigan
Authors: Mao Miaohua , Xia Meng
Published: May 2020

A comprehensive understanding of lake circulation is fundamental to inform better management of ecological issues and fishery resources in the Great Lakes. In this study, a high‐resolution, wave‐current coupled, three‐dimensional modeling system was applied to investigate the monthly and episodic dynamics of summer circulation in Lake Michigan. Model sensitivities to three wind sources and two grid resolutions against observed current velocities, water temperatures, and significant wave heights in the summer of 2014 were examined. Model performance was validated with additional satellite imageries and current measurements in the summer of 2015. Results indicated that the high‐resolution model driven by the observation‐based winds reproduced lake dynamics most reasonably. In July 2014, a pair of monthly averaged anticyclonic (i.e., clockwise) gyres in the surface layer were simulated in southern Lake Michigan. Analysis indicates that they originate from the wind‐driven, upwelling‐favorable, jet‐like Ekman currents along the west shore, which are connected by the density‐driven basin‐scale circulation. Although river inputs, strait exchanges, waves, grid resolutions, and bathymetric variations influence the monthly surface circulation, their effects are less important than the wind and density‐driven currents. Additional simulations support the predominant impacts of wind and density‐driven currents on lake surface circulation during a strong wind event. Further investigations suggest that lake circulation varies from surface to bottom layers, and this knowledge is significant to the related ecological issues and fishery resources management. The numerical model configured to Lake Michigan is beneficial to understanding dynamics in the Great Lakes system and other large water bodies.
Intensification of the Atlantic Multidecadal Variability Since 1870: Implications and Possible Causes
Authors: Si Dong , Jiang Dabang , Wang Huijun
Published: May 2020

The Atlantic multidecadal variability (AMV) acts as a key source of multidecadal variability and plays an important role in climate change in many regions of the Northern Hemisphere, resulting in great social and economic impacts. This paper shows that, since the late 19th century, the AMV has experienced a significant increasing trend. The AMV intensified at a rate of 0.0040°C per decade from 1870 to 2014, which is statistically significant at the 95% confidence level. The AMV teleconnects the amplified signal from the North Atlantic across the Eurasian continent to North America through a circumglobal teleconnection pattern, which further intensifies the regional climate variability and climate extremes in North Africa, Europe, East Asia, and North America. Results from the single‐forcing and all‐but‐one‐forcing experiments of the Community Earth System Model, version 1, indicate that anthropogenic aerosol emissions have played a more important role in the AMV intensification compared to other external forcings, especially during the period from the 1900s to 1990s.
Phytoplankton Community Structure at Subsurface Chlorophyll Maxima on the Western Arctic Shelf: Patterns, Causes, and Ecological Importance
Authors: Zhuang Yanpei , Jin Haiyan , Chen Jianfang , Ren Jian , Zhang Yang , Lan Musheng , Zhang Tianzhen , He Jianfeng , Tian Jun
Published: May 2020

Subsurface chlorophyll maxima (SCM) layers are becoming more important to the Arctic shelf ecosystem as phytoplankton growing season and ice‐free water increase. We measured size‐fractionated pigments and environmental variables on the western Arctic shelf during the open‐water season in 2014, to study the spatial pattern and mechanisms of the phytoplankton community at the SCM. The SCM layers accumulated approximately 50% of the chlorophyll a (Chl a) standing stock in the water column, and the contribution increased to >70% for high‐biomass areas, suggesting the biological importance of the summer SCM in the shelf ecosystem. The spatial difference in phytoplankton biomass was caused mainly by bioavailable nitrogen concentrations, and the spatial difference in diatom size may be the result of differences in predominant species. High biomass and large diatoms dominated in the SCM layers, making the south and north of the Chukchi shelf a biological hotspot for the ecosystem's food chain and benthos of the western Arctic shelf in summer.
Assimilation of GNSS Measurements for Estimation of High‐Latitude Convection Processes
Authors: Miladinovich Daniel S. , Datta‐Barua Seebany , López Rubio Aurora , Zhang Shun‐Rong , Bust Gary S.
Published: May 2020

Geomagnetic storms produce significant electrodynamics at midlatitudes. Strong ion convection can affect thermospheric neutral wind motion. The converse is also true, such that both fields and winds can drive ionospheric plasma movement. This work adjusts a background modeled high‐latitude electrostatic potential to estimate the storm time electric field based on data‐derived plasma densities and measurements of neutral wind. Electron densities are derived from global navigation satellite system (GNSS) total electron content measurements using Ionospheric Data Assimilation Four‐Dimensional (IDA4D). These are input to Estimating Model Parameters from Ionospheric Reverse Engineering (EMPIRE) to estimate electric potential corrections to the background Weimer 2000 potential model. The EMPIRE basis functions for electric potential are spherical harmonics in dipole magnetic colatitude and longitude, enforced to be constant along a magnetic field line. For the 17 March 2015 storm, EMPIRE electric potential produces westward zonal ion drifts that more closely agree with incoherent scatter radar (ISR) measurements made at Millstone Hill than the background Weimer 2000 model alone, when electric potential and meridional neutral winds are both corrected. Additionally ingesting northward line‐of‐sight neutral wind measurements from a Fabry‐Perot interferometer at Millstone Hill makes little difference in the agreement between zonal ion drift predictions and measurements. Estimation of only electric potential reduces the agreement between the assimilated prediction of the field‐perpendicular zonal drifts and ISR measurements significantly.
Assessing the Impacts of Vegetation Greenness Change on Evapotranspiration and Water Yield in China
Authors: Bai Peng , Liu Xiaomang , Zhang Yongqiang , Liu Changming
Published: May 2020

Vegetation plays an important role in regulating terrestrial water and energy fluxes. Recent research reported that China is the largest contributor to the global net increase in green foliage. Such large‐scale vegetation greenness change would inevitably affect the water budget across China. In this study, we evaluated the effects of vegetation greenness change on evapotranspiration (ET) and water yield in China from 1982 to 2014 with a process‐based conceptual hydrologic model and a detrending experiment of vegetation index. On the national scale, the change in vegetation greenness was dominated by an increasing trend (greening), which has led to an increase in ET and a decline in water yield from 1982 to 2014. The contribution of vegetation greenness change to the trend of annual ET and water yield is 0.25 mm/yr and −0.16 mm/yr, respectively. Spatially, the relative change in ET and runoff caused by vegetation greenness change is significantly greater in water‐limited areas than in energy‐limited areas. Vegetation greening exacerbated water scarcity in water‐limited areas. Therefore, the ecological restoration policy should fully consider the negative effect of vegetation greening on water yield in water‐limited regions and balance the conflicting water demands between the ecosystem and human beings.
This Week: Social Distancing at Sea, Climate Migration on Land
Authors:   AGU
Published: May 2020

What Earth and space science stories are we recommending this week?
Radar Investigation of Postsunset Equatorial Ionospheric Instability Over Kwajalein During Project WINDY
Authors: Hysell D. L. , Rao S. , Groves K. M. , Larsen M. F.
Published: May 2020

Advanced Research Projects Agency Long‐Range Tracking and Instrumentation Radar (ALTAIR) data acquired during the NASA Waves and INstabilities from a Neutral DYnamo (WINDY) sounding rocket campaign on Kwajalein Atoll in late August and September 2017 are analyzed to study the development of postsunset F‐region ionospheric plasma density irregularities associated with equatorial spread F (ESF) conditions. Unstable conditions existed on nine of ten observing nights during the campaign. The first indication of instability onset each night was a patchy layer of coherent scatter in the bottomside/valley region. Patchy bottom‐type layers are telltales of plasma convective instability driven by vertical current in the F region associated with bottomside shear flow. The resulting flow evolves rapidly into fully developed instability through a bootstrapping process. Sometimes, the resulting topside depletions exhibited large‐scale structuring with a spatial scale too large to be associated with the preferred scale for plasma instability. We examine incoherent scatter observations of the background ionospheric morphology prior to the appearance of bottom‐type layers and find that a small degree of large‐scale bottomside structuring is sometimes present. Numerical simulations suggest that this structuring can act as a seed and provide the initial conditions necessary to account for the clustering of the topside plumes that emerge later.
Compatibility Conditions, Complex Frequency, and Complex Vertical Wave Number for Models of Gravity Waves in the Thermosphere
Authors: Broutman Dave , Knight Harold , Eckermann Stephen D.
Published: May 2020

Gravity wave propagation from the troposphere into the thermosphere has often been modeled by assuming a complex vertical wave number m, with the imaginary part accounting for viscous and thermal dissipation. An alternative is to assume a complex wave frequency ω, which leads to a simpler form of the dispersion relation and different wave solutions described by complex‐ω ray theory. Here the solutions of complex ω and complex m are analyzed in terms of the compatibility conditions ∇×k=0 and kt=−∇ω, where k is the wave number vector. Estimates derived here suggest that the complex‐ω ray solutions can violate compatibility conditions above altitudes of weak viscosity. A possible consequence of this violation is an overestimation of the viscous damping of thermospheric gravity waves. The present results are based on a numerical solution of the viscous gravity‐wave dispersion relation in the anelastic approximation with a Prandtl number of unity and using conventional specifications of the dynamic viscosity of the thermosphere. Theoretical solutions for complex m are also derived in the weak and strong viscosity limits.
Far Ultraviolet Remote Sensing of the Nighttime Ionosphere Using the OI 130.4‐nm Emission
Authors: Qin Jianqi
Published: May 2020

Routine monitoring and forecasting of the ionosphere is becoming imperative for our society due to the rapid increase of our reliance on space‐based technologies. In the last two decades, satellite remote sensing of the OI 135.6‐nm airglow emission has been used as a primary means for inferring the nighttime ionosphere on a global scale. By contrast, the OI 130.4‐nm emission, another prominent airglow feature, has long been suggested to be possibly useful for ionospheric remote sensing but has rarely been studied in the literature, partially due to the complexity of the radiative transfer effects involved in the interpretation of this emission. In this study, we explore the use of OI 130.4‐nm emission for nighttime ionospheric remote sensing by analyzing the data observed by the Global Ultraviolet Imager (GUVI) aboard NASA's Thermosphere Ionosphere Mesosphere Energetics and Dynamics (TIMED) mission using a newly developed radiative transfer model. We demonstrate through data analysis and theoretical investigations that limb observations of the OI 130.4‐nm emission can be used to complement the OI 135.6‐nm emission for a better characterization of the spatial variation of nighttime ionosphere and that nadir observations of the OI 130.4‐nm emission can be used to estimate the total electron content (TEC) and the peak density (NmF2) in smoothly varying ionospheric regions more accurately than the OI 135.6‐nm emission. We further propose techniques for estimating the ionospheric peak height (hmF2) using nadir observations of the two emissions. Our results can provide useful information for future ionospheric remote sensing missions.
Validation of SAGE III/ISS Solar Occultation Ozone Products With Correlative Satellite and Ground‐Based Measurements
Authors: Wang H. J. Ray , Damadeo Robert , Flittner David , Kramarova Natalya , Taha Ghassan , Davis Sean , Thompson Anne M. , Strahan Susan , Wang Yuhang , Froidevaux Lucien , Degenstein Doug , Bourassa Adam , Steinbrecht Wolfgang , Walker Kaley A. , Querel Richard , Leblanc Thierry , Godin‐Beekmann Sophie , Hurst Dale , Hall Emrys
Published: May 2020

The Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS) was launched on 19 February 2017 and began routine operation in June 2017. The first 2 years of SAGE III/ISS (v5.1) solar occultation ozone data were evaluated by using correlative satellite and ground‐based measurements. Among the three (MES, AO3, and MLR) SAGE III/ISS retrieved solar ozone products, AO3 ozone shows the smallest bias and best precision, with mean biases less than 5% for altitudes ~15–55 km in the midlatitudes and ~20–55 km in the tropics. In the lower stratosphere and upper troposphere, AO3 ozone shows high biases that increase with decreasing altitudes and reach ~10% near the tropopause. Preliminary studies indicate that those high biases primarily result from the contributions of the oxygen dimer (O4) not being appropriately removed within the ozone channel. The precision of AO3 ozone is estimated to be ~3% for altitudes between 20 and 40 km. It degrades to ~10–15% in the lower mesosphere (~55 km) and ~20–30% near the tropopause. There could be an altitude registration error of ~100 m in the SAGE III/ISS auxiliary temperature and pressure profiles. This, however, does not affect retrieved ozone profiles in native number density on geometric altitude coordinates. In the upper stratosphere and lower mesosphere (~40–55 km), the SAGE III/ISS (and SAGE II) retrieved ozone values show sunrise/sunset differences of ~5–8%, which are almost twice as large as what was observed by other satellites or model predictions. This feature needs further study.
On the Relationship Between the Marine Cold Air Outbreak M Parameter and Low‐Level Cloud Heights in the Midlatitudes
Authors: Naud Catherine M. , Booth James F. , Lamer Katia , Marchand Roger , Protat Alain , McFarquhar Greg M.
Published: May 2020

Focusing on conditions of subsidence when low clouds are present, ground‐based observations in both the North Atlantic and the Southern Ocean reveal strong relationships between cloud boundary (base and top heights) and different measures of lower tropospheric instability. The difference in potential temperature between the surface and 800 hPa (a metric called M) provides a stronger relationship than measures of inversion strength such as the lower tropospheric stability and estimated inversion strength. This is because (1) inversion strength itself does not correlate well with cloud boundaries, and (2) M contains information that appears important for cloud boundaries. These include the surface forcing through the use of sea surface rather than near‐surface air temperature and an upper level close to the real cloud top. These results expand upon previous work on the importance of M as a predictor of cloud morphology. However, important differences are found in low‐cloud conditions for the North Atlantic as compared to the Southern Ocean (for a given value of M): stronger inversions, deeper boundary layers, and much larger sea level pressures. Therefore, the relationship between cloud boundaries and M differs between the two regions. A general circulation model provides similar relationships as observed between M and both cloud top height and temperature but tends to place clouds higher and at colder temperatures than observed for a given M. This might cause issues with the representation of precipitation, cloud cover and radiation in the Southern Ocean.
Solar Flare Intensity Prediction With Machine Learning Models
Authors: Jiao Zhenbang , Sun Hu , Wang Xiantong , Manchester Ward , Gombosi Tamas , Hero Alfred , Chen Yang
Published: May 2020

We develop a mixed long short‐term memory (LSTM) regression model to predict the maximum solar flare intensity within a 24‐hr time window 0–24, 6–30, 12–36, and 24–48 hr ahead of time using 6, 12, 24, and 48 hr of data (predictors) for each Helioseismic and Magnetic Imager (HMI) Active Region Patch (HARP). The model makes use of (1) the Space‐Weather HMI Active Region Patch (SHARP) parameters as predictors and (2) the exact flare intensities instead of class labels recorded in the Geostationary Operational Environmental Satellites (GOES) data set, which serves as the source of the response variables. Compared to solar flare classification, the model offers us more detailed information about the exact maximum flux level, that is, intensity, for each occurrence of a flare. We also consider classification models built on top of the regression model and obtain better results in solar flare classifications as compared to Chen et al. (2019, https://doi.org/10.1029/2019SW002214). Our results suggest that the most efficient time period for predicting the solar activity is within 24 hr before the prediction time using the SHARP parameters and the LSTM model.