bluuebunny/crossref_metadata_2025 huggingface dataset:
ИНКЛЮЗИВТІ БІЛІМ БЕРУ ЖАҒДАЙЫНДА ДАРЫНДЫ БАЛАЛАРДЫОҚЫТУ ҮДЕРІСІНДЕ ТИІМДІ ТӘСІЛДЕР МЕН ТЕХНОЛОГИЯЛАРДЫПАЙДАЛАНУ
Authors: Назханова Л.К. , Жусипбекова А. , Кемешова А.М.
Published: October 2022

В статье рассматриваются педагогические подходы, являющиеся актуальными в обучениидетей с особыми образовательными потребностями,в том числе с одаренными детьми вусловиях инклюзивной практики. Инклюзивное образование предполагает принятие учеников сособыми образовательными потребностями как любых других детей в классе, включение их водинаковые виды деятельности, вовлечение в коллективные формы обучения и групповоерешение задач, использование стратегии коллективного участия

Мақалада ерекше білім беру қажеттіліктері бар балаларды, оның ішінде инклюзивтіпрактика жағдайында дарынды балаларды оқытуда өзекті болып табылатынпедагогикалық тәсілдер қарастырылады. Инклюзивті білім беру сыныптағы кез келгенбасқа балалар сияқты ерекше білім беру қажеттіліктері бар оқушыларды қабылдауды,оларды бірдей қызмет түрлеріне қосуды, ұжымдық оқыту нысандарына тартуды жәнеміндеттерді топтық шешуді, ұжымдық қатысу стратегиясын пайдалануды көздейді

The article discusses pedagogical approaches that are relevant in teaching children withspecial educational needs, including gifted children in an inclusive practice. Inclusive educationinvolves accepting students with special educational needs like any other children in theclassroom, including them in the same activities, engaging in collective forms of learning andgroup problem solving, using a strategy of collective participation
ВАЖНОСТЬ ИГРОВЫХ ФОРМ В ФОРМИРОВАНИИ ЛИЧНОСТИ ДЕТЕЙ СОСОБЫМИ ОБРАЗОВАТЕЛЬНЫМИ ПОТРЕБНОСТЯМИ
Authors: Ануарбекова А.А.
Published: October 2022

Мақалада ерекше оқытуды қажет ететін балаларды тұлға ретінде қалыптастырудағыоқытып – үйретудің ерекше тиімді форма - ойын туралы қарастырылады. Ойындардыңатқаратын қызметтері сан. Ұйымдастырылуына байланысты – интеллектуалдық,эстафеталық, логикалық, дидактикалық, шығармашылық ойындар. Бұл олардың қандайісті болса да атқара алатындықтарына сенімдерін арттырып, еңбекке деген ынтасындамытады. Жеңіл дене жаттығулары, секіру, тізбек құру, бір қатарда қойылған заттарарасымен жүру, қимылды ойындар дене белсенділігін арттырып, баланың жеңіс үшінқуаныш сезімін, алға ұмтылу сенімділігін оятуды көздейді.

В статье рассматриваются наиболее эффективные формы обучения и воспитания вформировании детей с особыми потребностями как личности. Функции игрмногочисленны. В зависимости от организации - интеллектуальные, эстафетные,логические, дидактические, творческие игры. Это дает им уверенность в том, что онимогут делать все, что захотят, и развивает их мотивацию к работе. Легкие физическиеупражнения, прыжки, цепочка, ходьба между предметами в ряд, подвижные игрынаправлены на повышение двигательной активности, пробуждение в ребенке чувстварадости победы, уверенности в движении вперед.

The article discusses the most effective forms of education and upbringing in the formation ofchildren with special needs as individuals. The functions of the games are numerous. Dependingon the organization - intellectual, relay, logical, didactic, creative games. This gives themconfidence that they can do whatever they want and develops their motivation to work. Lightphysical exercises, jumping, chaining, walking between objects in a row, outdoor games areaimed at increasing motor activity, awakening in the child a sense of the joy of victory,confidence in moving forward.
ЭФФЕКТИВНЫЕ ПУТИ РАЗВИТИЯ ЗВУКО-СЛОГОВОЙ СТРУКТУРЫ ВРЕЧИ У ДЕТЕЙ С ЗАДЕРЖКОЙ ПСИХИЧЕСКОГО РАЗВИТИЯ
Authors: Аутаева А.Н. , Ольжабаева А.Е.
Published: October 2022

Мақалада психикалық дамуы тежелген балалардың сөздегі дыбыстық буындыққұрлымының теориялық аспектілері, атап айтқанда, сөйлеу тілін дамытуға қолданылатынжаңа зерттеулер, әдістер мен тәсілдер көрсетілген. Арнайы әдебиеттерде психикалық дамуы тежелген балалардың сөйлеу тілі дамуынанықтау ерекшеліктері қарастырылған.
ЗНАЧИМОСТЬ И РАЗРАБОТАННОСТЬ УЧЕБНО-МЕТОДИЧЕСКОГО КОМПЛЕКСАДЛЯ ДЕТЕЙ С ИНТЕЛЛЕКТУАЛЬНЫМИ НАРУШЕНИЯМИ
Authors: Бекмуратова Г.Т. , Қыдырова Д.У.
Published: October 2022

Бұл мақалада оқу-әдістемелік кешенінің зияты зақымдалған балалалар үшін маңызыкөрсетілген. Оқу-әдістемелік кешенінің маңыздылығымен қатар, оны әзірлеу барысы менбөлімдері толық қарастырылған. Оқу-әдістемелік кешенінің теориялық және әдістемелікбөлімдерінде қандай ақпараттар келетіні туралы мәліметтер келтірілген.

This article shows the importance of the educational and methodological complex for childrenwith intellectual disabilities. Along with the importance of the educational and methodological complex, the course and sections of its development are considered in detail. The theoretical and methodologicalsections of the educational and methodological complex contain information about what information isreceived.

В данной статье показано значение учебно-методического комплекса для детей снарушениями интеллекта. Наряду с важностью учебно-методического комплекса подробнорассмотрены ход и разделы его разработки. В теоретических и методических разделах учебно-методического комплекса приведены сведения о том, какая информация поступает.
ФОРМИРОВАНИЕ ПРЕДСТАВЛЕНИЙ ОБ ОКРУЖАЮЩЕМ МИРЕ У ДЕТЕЙМЛАДШЕГО ШКОЛЬНОГО ВОЗРАСТА С НАРУШЕНИЕМ ИНТЕЛЛЕКТ
Authors: Кемешова А.М. , Дәулетхан А.Д. , Мыңбай Н.А. , Омар Ә.Н.
Published: October 2022

Мақалада зияты зақымдалған бастауыш мектеп жасындағы балаларда қоршаған әлемтуралы түсініктерді қалыптастыру процесінің теориялық негіздері қарастырылған. Зерттеумәселесі бойынша әдебиеттерге қысқаша теориялық шолу жасалған.

В статье рассмотрены теоретические основы процесса формирования представлений обокружающем мире у детей младшего школьного возраста с нарушениями интеллекта. Представленкраткий теоретический обзор литературы по проблеме исследования.

The article discusses the theoretical foundations of the process of forming ideas about the world aroundchildren of primary school age with intellectual disabilities. A brief theoretical review of the literature onthe research problem is presented.
ОСОБЕННОСТИ ЭМОЦИОНАЛЬНОГО РАЗВИТИЯ СЛАБОВИДЯЩИХ ДЕТЕЙДОШКОЛЬНОГО ВОЗРАСТА
Authors: Макина Л.К. , Өскенбай А.А.
Published: October 2022

Бұл мақалада мектеп жасына дейінгі көру қабілеті зақымдалған балалардың эмоциналдыдамуының өзіндік ерекшеліктері қарастырылады. Көру қабілеті зақымдалған мектеп жасынадейінгі балалардың эмоционалды дамуының спецификалық ерекшеліктері көрсетіледі. Осыкатегориядағы балалардың эмоционалды дамуы бойынша типтер ажыратылады.

В данной статье рассматриваются специфические особенности эмоционального развитиядетей с нарушением зрения в дошкольном возрасте. Показаны специфические особенностиэмоционального развития детей дошкольного возраста с нарушением зрения. Рассматриваютсятипы по эмоциональному развитию детей данной категории.

This article discusses the specific features of the emotional development of children with visualimpairment in preschool age. The specific features of the emotional development of preschool childrenwith visual impairment are shown. The types of emotional development of children of this category areconsidered.
СЛУХОРЕЧЕВАЯ РЕАБИЛИТАЦИЯ У ДЕТЕЙ С КОХЛЕАРНОЙ ИМПЛАНТАЦИЕЙ
Authors: Нагиева Г.О. , Алшынбекова Г.К.
Published: October 2022

Бұл мақалада естімейтін балалар мен ересектердің есту қабілетін қалпына келтірудіңтиімді әдісі - кохлеарлы имплантация туралы жазылған. Естіп-сөйлеу тәсілінің мақсаты - естімейтін баланың қоршаған дыбыстарды және сөйлеудіеркін естіп қабылдауы. Естіп-сөйлеу тәсілінің негізі - тіл мен сөйлеуді баланың есту қабылдауындамыту арқылы үйренуі. Бұл тәсіл баланы қоршаған ортадағы дыбыстарды қабылдауға үйретугенегізделген, бұл сөйлеу мен тілдің табиғи дамуына әкеледі, ал естіп сөйлеу тәжірибесі баланыңсөйлеу тілі арқылы өзара әрекеттесуін және естіп-сөйлейтін ортаны құруды талап етеді.

В этой статье рассказывается об эффективном способе восстановления слуха у неслышащих детей и взрослых - кохлеарной имплантации.Цель слухоречевого подхода состоит в том, чтобы язык и речь изучались ребенком черезразвитие слухового восприятия. Данный подход базируется на том, чтобы научить ребенкавоспринимать звуки окружающей среды, приводя к естественному развитию речи и языка, аслухоречевая практика требует, чтобы с ребенком взаимодействовали через разговорный язык исоздавали слухоречевую окружающую среду.

This article describes an effective way to restore hearing in deaf children and adults - cochlearimplantation.The purpose of the auditory-speech approach is that language and speech are studied by the childthrough the development of auditory perception. This approach is based on teaching the child to perceivethe sounds of the environment, leading to the natural development of speech and language, and auditory-speech practice requires that the child interact through spoken language and create an auditory-speechenvironment.
A IMPORTÂNCIA DO LÚDICO PARA O DIAGNÓSTICO E INTERVENÇÃO NO PROCESSO DE ENSINO APRENDIZAGEM INCLUSIVO
Authors: Fé em Deus Caroline Alves , Albuquerque Grazielli Alves do Carmo Silva , Figueiredo Thaíssa Moura da Silva
Published: October 2022

Jogos, brinquedos e brincadeiras fazem parte do mundo da criança, pois estão presentes na humanidade desde o seu início. O presente artigo através de pesquisas bibliográficas tem o objetivo de ressaltar a importância da ludicidade para a inclusão no processo de ensino aprendizado no trabalho do educador. A atividade lúdica fornece ao educador subsídios sobre os esquemas que organizam e integram o conhecimento num nível representativo. O educador no trabalho com a inclusão utiliza o jogo diferentemente dos demais profissionais, porque o vê como uma técnica que permite a articulação de aspectos objetivos e subjetivos, necessários para que a aprendizagem aconteça quebrando as barreiras. O lúdico é um mecanismo estratégico de desenvolvimento da aprendizagem, pois propicia o envolvimento do sujeito aprendente e possibilita a apropriação significativa do conhecimento. O olhar do educador sobre a criança especial deve ser intrigado, pois se as condições para a aprendizagem estão estabelecidas em todos os seres humanos, mas que a pesar de suas limitações há um motivo para que isso aconteça e precisa ser investigado e desvendado, como a ludicidade é um forte atrativo para que os indivíduos se motivem na busca de uma aprendizagem prazerosa, então, temos os jogos e brincadeiras como aliados nesta tarefa.
O PROJETO DE VIDA E A FORMAÇÃO INTEGRAL DOS SUJEITOS
Authors: Fé em Deus Carolina Alves , Albuquerque Grazielli Alves do Carmo Silva , Silva Thaissa Moura da
Published: October 2022

A escola tem um papel ativo na formação dos jovens por todo mundo, o conhecimento básico é passado de geração, após geração. Não é possível questionar o papel da escola e como as experiências vividas moldam o futuro dos alunos. O Projeto de Vida e a formação integral dos sujeitos é a nova matéria a ser implementada nas escolas.
Heterogeneity and chemical reactivity of the remote troposphere defined by aircraft measurements
Authors: Guo Hao , Flynn Clare M. , Prather Michael J. , Strode Sarah A. , Steenrod Stephen D. , Emmons Louisa , Lacey Forrest , Lamarque Jean-Francois , Fiore Arlene M. , Correa Gus , Murray Lee T. , Wolfe Glenn M. , St. Clair Jason M. , Kim Michelle , Crounse John , Diskin Glenn , DiGangi Joshua , Daube Bruce C. , Commane Roisin , McKain Kathryn , Peischl Jeff , Ryerson Thomas B. , Thompson Chelsea , Hanisco Thomas F. , Blake Donald , Blake Nicola J. , Apel Eric C. , Hornbrook Rebecca S. , Elkins James W. , Hintsa Eric J. , Moore Fred L. , Wofsy Steven C.
Published: October 2022

Abstract. The NASA Atmospheric Tomography (ATom) mission built a photochemical climatology of air parcels based on in situ measurements with the NASA DC-8 aircraft along objectively planned profiling transects through the middle of the Pacific and Atlantic oceans. In this paper we present and analyze a data set of 10 s (2 km) merged and gap-filled observations of the key reactive species driving the chemical budgets of O3 and CH4 (O3, CH4, CO, H2O, HCHO, H2O2, CH3OOH, C2H6, higher alkanes, alkenes, aromatics, NOx, HNO3, HNO4, peroxyacetyl nitrate, other organic nitrates), consisting of 146,494 distinct air parcels from ATom deployments 1 through 4. Six models calculated the O3 and CH4 photochemical tendencies from this modeling data stream for ATom 1. We find that 80 %–90 % of the total reactivity lies in the top 50 % of the parcels; and 25 %–35 %, in the top 10 %, supporting previous model-only studies that tropospheric chemistry is driven by a fraction of all the air. In other words, accurate simulation of the least reactive 50 % of the troposphere is unimportant for global budgets. Surprisingly, the probability densities of species and reactivities averaged on a model scale (100 km) differ only slightly from the 2 km ATom data, indicating that much of the heterogeneity in tropospheric chemistry can be captured with current global chemistry models. Comparing the ATom reactivities over the tropical oceans with climatological statistics from six global chemistry models, we find generally good agreement with the reactivity rates for O3 and CH4. In the Pacific but not Atlantic, however, models distinctly underestimate O3 production below 2 km, and this can be traced lower NOX levels than observed. Attaching photochemical reactivities to measurements of chemical species allows for a richer, yet more constrained-to-what-matters, set of metrics for model evaluation.
Distribution of cross-tropopause convection within the Asian monsoon region from May through October 2017
Authors: Clapp Corey E. , Smith Jessica B. , Bedka Kristopher M. , Anderson James G.
Published: October 2022

Abstract. We constructed a database of cross-tropopause convection in the Asian monsoon region for the months of May through October of 2017 using overshooting tops (OTs), deep convective features that penetrate the local cirrus anvil layer and the local tropopause, with Meteosat-8 geostationary satellite detections. The database of 40,918 OTs, represents a hemispheric record of convection covering the study domain from 10° S to 55° N and from 40 to 115° E. With this database, we analyzed the geographic, monthly, and altitude distribution of this convection and compared it to the convective distributions represented by satellite observations of outgoing longwave radiation (OLR) and precipitation. We find that cross-tropopause convection is most active during the months of May through August (with daily averages of these months above 300 OTs/day) and declines through September and October. Most of this convection occurs within North and South India, the Bay of Bengal, and the Indian Ocean regions, which together account for 75.1 % of all OTs. We further identify distinct, differing seasonal trends within the study subregions. For the North India, South India, and Bay of Bengal regions the distribution of OTs follows the development of the Asian Monsoon, with its north-south movement across the study period. This work demonstrates that when evaluating the effects of convection on lower stratospheric composition over the Asian monsoon region it is important to both consider cross-tropopause convection and the contributions across the entire region due to the significant geographic and monthly variation in convective activity.
Establishment of an analytical model for remote sensing of typical stratocumulus cloud profiles under various precipitation and entrainment conditions
Authors: Shang Huazhe , Hioki Souichiro , Penide Guillaume , Cornet Céline , Letu Husi , Riedi Jérôme
Published: October 2022

Abstract. Structural patterns of cloud effective radius (ER) and liquid water content (LWC) profiles are essential variables of cloud lifecycle and precipitation processes, while observing cloud profiles from passive remote sensing sensors remains highly challenging. Understanding whether there exist typical structural patterns of ER and LWC profiles in liquid clouds and how they link with cloud entrainment or precipitating status is critical in developing algorithms to derive cloud profiles from passive satellite sensors. This study aims to address these questions and provide a preliminary foundation for the develop-ment of liquid cloud profile retrievals for the Multi-viewing, Multi-channel and Multi-polarization Imaging (3MI) sensor aboard the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) Polar System-Second Generation (EPS-SG) satellite, which is scheduled to be launched in 2025. Firstly, we simulate a large ensemble of strato-cumulus cloud profiles using the Colorado State University (CSU) Regional Atmospheric Modeling System (RAMS). The empirical orthogonal function (EOF) analysis is adopted to describe the shape of simulated profiles with a limited number of elemental profile variations. Our results indicate that the first three EOFs of LWC and ER profiles can explain >90 % of LWC and ER profiles. The profiles are classified into four prominent patterns and all of these patterns can be simplified as triangle-shaped polylines. The frequency of these four patterns is found to relate to intensities of the cloud-top entrainment and precipitation. Based on these analyses, we propose a simplified triangle-shape cloud profile parameterization scheme allowing to represent these main patterns of LWC and ER. This simple yet physically realistic analytical model of cloud profiles is expected to facilitate the representation of cloud properties in advanced retrieval algorithms such as those devel-oped for the 3MI/EPS-SG.
Possible evidence of increased global cloudiness due to aerosol-cloud interactions
Authors: Douglas Alyson Rose , L'Ecuyer Tristan
Published: October 2022

Abstract. Aerosol-cloud interactions remain a large source of uncertainty in global climate models due to uncertainty in how pre-industrial clouds, aerosols, and the environment behaved. We employ three machine learning models, a random forest, a stochastic gradient boosting, and an extreme gradient boosting regressor to derive a pre-industrial proxy for warm cloudiness predicted using only their environmental controls. We train our models on boundary layer stability, relative humidity of the free atmosphere, upper level vertical motion, and sea surface temperature to predict a simulated, pristine cloud fraction as a one-for-one proxy for a pre-industrial warm cloud fraction. Using a multivariate linear regression as a proxy for sensitivity studies, we show that the non-linear signatures derived using the simple machine learning models are pivotal in deriving an accurate estimate. We find that aerosols may have increased global cloudiness by 1.27 % since pre-industrial times, leading to −0.42 (0.39–0.46 at 95 % confidence intervals) of cooling. Our methodology reduces the covariability between aerosol, the environment, and cloud adjustments by aiming only to estimate an initial, unperturbed state of the cloud based on the environment alone.
Understanding the potential of Sentinel-2 for monitoring methane point emissions
Authors: Gorroño Javier , Varon Daniel J. , Irakulis-Loitxate Itziar , Guanter Luis
Published: October 2022

Abstract. The use of satellite instruments to detect and quantify methane emissions from fossil fuel production activities is highly beneficial to support climate change mitigation. Different hyperspectral and multispectral satellite sensors have recently shown potential to detect and quantify point-source emissions from space. The Sentinel-2 (S2) mission, despite its limited spectral design, supports the detection of large emissions with global coverage and high revisit frequency thanks to coarse spectral coverage of methane absorption lines in the shortwave infrared. Validation of S2 methane retrieval algorithms is instrumental in accelerating the development of a systematic and global monitoring system for methane point sources. Here we develop a benchmarking framework for such validation. We first develop a methodology to generate simulated S2 datasets including methane point-source plumes. These benchmark datasets have been created for scenes in three oil and gas basins (Hassi Messaoud, Algeria; Korpeje, Turkmenistan; Permian Basin, USA) under different scene heterogeneity conditions and for simulated methane plumes with different spatial distributions. We use the simulated methane plumes to validate the retrieval for different flux rate levels and define a minimum detection threshold for each case study. The results suggest that for homogeneous surfaces, the detection limit of the proposed S2 methane retrieval ranges from 1000 kg h−1 to 2000 kg h−1, whereas for areas with large surface heterogeneity, the retrieval can only detect plumes in excess of 5000 kg h−1. The different sources of uncertainty in the flux rate estimates have also been examined. Dominant quantification errors are either wind-related or plume mask-related, depending on the surface type. Uncertainty in wind speed, both in the 10-m wind (U10) and in mapping U10 to the effective wind (Ueff ) driving plume transport, is the dominant source of error for quantifying individual plumes in homogeneous scenes. For heterogeneous scenes, the surface structure underlying the methane plume affects the plume masking and can become a dominant source of uncertainty.
Regime-oriented causal model evaluation of Atlantic-Pacific teleconnections in CMIP6
Authors: Karmouche Soufiane , Galytska Evgenia , Runge Jakob , Meehl Gerald A. , Phillips Adam S. , Weigel Katja , Eyring Veronika
Published: October 2022

Abstract. The climate system and its spatio-temporal changes are strongly affected by modes of long-term internal variability, like the Pacific Decadal Varibility (PDV) and the Atlantic Multidecadal Variability (AMV). As they alternate between warm and cold phases, the interplay between PDV and AMV varies over decadal to multidecadal timescales. Here, we use a causal discovery method to derive fingerprints in the Atlantic-Pacific interactions and investigate their phase-dependent changes. Dependent on the phases of PDV and AMV, different regimes with characteristic causal fingerprints are identified in reanalyses in a first step. In a second step, a regime-oriented causal model evaluation is performed to evaluate the ability of models participating in the Coupled Model Intercomparison Project Phase 6 (CMIP6) in representing the observed changing interactions between PDV, AMV and their extra-tropical teleconnections. The causal graphs obtained from reanalyses detect a direct opposite-sign response from AMV on PDV when analysing the complete 1900–2014 period, and during several defined regimes within that period, for example, when AMV is going through its negative (cold) phase. Reanalyses also demonstrate a same-sign response from PDV on AMV during the cold phase of PDV. Historical CMIP6 simulations exhibit varying skill in simulating the observed causal patterns. Generally, Large Ensemble (LE) simulations showed better network similarity when PDV and AMV are out of phase compared to other regimes. Also, the two largest ensembles (in terms of number of members) were found to contain realizations with similar causal fingerprints to observations. For most regimes, these same models showed higher network similarity when compared to each other. This work shows how causal discovery on LEs complements the available diagnostics and statistics metrics of climate variability to provide a powerful tool for climate model evaluation.
CompLaB v1.0: a scalable pore-scale model for flow, biogeochemistry, microbial metabolism, and biofilm dynamics
Authors: Jung Heewon , Song Hyun-Seob , Meile Christof
Published: October 2022

Abstract. Microbial activity and chemical reactions in porous media depend on the local conditions at the pore scale and can involve complex feedback with fluid flow and mass transport. We present a modeling framework that quantitatively accounts for the interactions between the bio(geo)chemical and physical processes, and that can integrate genome-scale microbial metabolic information into a dynamically changing, spatially explicit representation of environmental conditions. The model couples a Lattice-Boltzmann implementation of Navier-Stokes (flow) and advection-diffusion-reaction (mass conservation) equations. Reaction formulations can include both kinetic rate expressions and flux balance analyses, thereby integrating reactive transport modeling and systems biology. We also show that the use of surrogate models such as neural network representations of in silico cell models can speed up computations significantly, facilitating applications to complex environmental systems. Parallelization enables simulations that resolve heterogeneity at multiple scales, and a cellular automata module provides additional capabilities to simulate biofilm dynamics. The code thus constitutes a platform suitable for a range of environmental, engineering and – potentially – medical applications, in particular ones that involve the simulation of microbial dynamics.
An emulation-based approach for interrogating reactive transport models
Authors: Fotherby Angus , Bradbury Harold J. , Druhan Jennifer L. , Turchyn Alexandra V.
Published: October 2022

Abstract. We present a new approach to understand the interactions among different chemical and biological processes modelled in environmental reactive transport models (RTMs) and explore how the parameterisation of these processes influences the results of multi-component RTMs. We utilize a previously published RTM consisting of 20 primary species, 20 secondary complexes, 17 mineral reactions and 2 biologically-mediated reactions which describes bio-stimulation using sediment from a contaminated aquifer. We choose a subset of the input parameters to vary over a range of values. The result is the construction of a new dataset that describes the model behaviour over a range of environmental conditions. Using this dataset to train a statistical model creates an emulator of the underlying RTM. This is a condensed representation of the original RTM that facilitates rapid exploration of a broad range of environmental conditions and sensitivities. As an illustration of this approach, we use the emulator to explore how varying the boundary conditions in the RTM describing the aquifer impacts the rates and volumes of mineral precipitation. A key result of this work is the recognition of an unanticipated dependency of pyrite precipitation on pCO2 in the injection fluid due to the stoichiometry of the microbially-mediated sulphate reduction reaction. This complex relationship was made apparent by the emulator, while the underlying RTM was not specifically constructed to create such a feedback. We argue that this emulation approach to sensitivity analysis for RTMs may be useful in discovering such new coupled sensitives in geochemical systems and for designing experiments to optimise environmental remediation. Finally, we demonstrate that this approach can maximise specific mineral precipitation or dissolution reactions by using the emulator to find local maxima, which can be widely applied in environmental systems.
Quantifying gender gaps in seismology authorship
Authors: Ermert Laura Anna , Koroni Maria , Korta Martiartu Naiara
Published: October 2022

Abstract. According to 2018 demographic data of the American Geophysical Union Fall Meeting, seismology is among the Geoscience fields with the lowest female representation. To understand whether this reflects seismology more generally, we investigate female authorship of peer-reviewed publications, a key factor in career advancement. Building upon open-source tools for web-scraping, we create a database of bibliographic information for seismological articles published in 14 international journals from 2010 to 2020. We use the probabilities of author names being either male or female-gendered to analyse the representation of female authors in terms of author position and subsequently per journal, year, and publication productivity. The results indicate that: 1) The overall probability of the first (last) author being female is 0.28 (0.19); 2) With the calculated rate of increase from 2010 to 2020, equal probabilities of female and male authorship would be reached towards the end of the century; 3) Compared to the overall probability of male authorship (0.76), single-authored papers in our database are disproportionately published by male authors (with probability 0.83); 4) Female representation decreases among highly productive authors; 5) Rather than being random, the composition of authorship appears to be influenced by gender: Firstly, all-male author teams are more common than what would be expected if teams were composed randomly. Secondly, the probability that first or co-authors are female increases when the last author is female, but first female authors have a low probability of working with female co-authors.
OBS noise reduction from horizontal and vertical components using harmonic-percussive separation algorithms
Authors: Zali Zahra , Rein Theresa , Krüger Frank , Ohrnberger Matthias , Scherbaum Frank
Published: October 2022

Abstract. Records from ocean bottom seismometers (OBS) are highly contaminated by noise, which is much higher compared to data from most land stations, especially on the horizontal components. The high energy of the oceanic noise at frequencies below 1 Hz complicates the analysis of the teleseismic earthquake signals recorded by OBSs. Previous studies suggested different approaches to remove low frequency noises from the data, but mainly focused on the vertical component. The records of horizontal components, crucial for the application of many methods in passive seismological analysis of body and surface waves could not be much improved in the teleseismic frequency band. Here we introduce a noise reduction method, which is derived from the harmonic-percussive separation algorithms used in Zali et al., (2021) in order to separate long-lasting narrowband signals from broadband transients in the OBS signal. This leads to significant noise reduction of OBS records on both the vertical and horizontal components and increases the earthquake signal to noise ratio without distortion of the broadband earthquake waveforms. This is proved through synthetic tests by measuring SNR and cross-correlation coefficient where both showed significant improvement for different realistic noise realizations. The application of denoised signals in surface wave analysis and receiver function is discussed through synthetic and real tests.
An optimized LSTM-based approach applied to early warning and forecasting of ponding in the urban drainage system
Authors: Zhu Wen , Tao Tao , Yan Hexiang , Yan Jieru , Wang Jiaying , Li Shuping , Xin Kunlun
Published: October 2022

Abstract. An optimized LSTM-based approach applied to early warning and forecasting of ponding in the urban drainage system is proposed in this study. This approach can identify locations and process of ponding quickly with relatively high accuracy. The model is constructed with two tandem processes and a multi-task learning mechanism is introduced. The results are compared with those of widely used neural networks (LSTM, CNN) to validate its advantages. Then, the model is revised with available monitoring data in the study area to achieve higher accuracy, and the influence of the number of the monitoring points selected on the performance of the corrected model is also discussed in this paper. Over 15000 designed rainfall events are used for model training, covering a diversity of extreme weather conditions.
Mapping of ESA-CCI land cover data to plant functional types for use in the CLASSIC land model
Authors: Wang Libo , Arora Vivek K. , Bartlett Paul , Chan Ed , Curasi Salvatore R.
Published: October 2022

Abstract. Plant functional types (PFTs) are used to represent vegetation distribution in land surface models (LSMs). Large differences are found in the geographical distribution of PFTs currently used in various LSMs. These differences arise from the differences in the underlying land cover products but also the methods used to map or reclassify land cover data to the PFTs that a given LSM represents. There are large uncertainties associated with existing PFT mapping methods since they are largely based on expert judgment and therefore are subjective. In this study, we propose a new approach to inform the mapping or the cross-walking process using analyses from sub-pixel fractional error matrices, which allows for a quantitative assessment of the fractional composition of the land cover categories in a dataset. We use the Climate Change Initiative (CCI) land cover product produced by the European Space Agency (ESA). A previous study has shown that compared to fine-resolution maps over Canada, the ESA-CCI product provides an improved land cover distribution compared to that from the GLC2000 dataset currently used in the CLASSIC (Canadian Land Surface Scheme Including Biogeochemical Cycles) model. A tree cover fraction dataset and a fine-resolution land cover map over Canada are used to compute the sub-pixel fractional composition of the land cover classes in ESA-CCI, which is then used to create a cross-walking table for mapping the ESA-CCI land cover categories to nine PFTs represented in the CLASSIC model. There are large differences between the new PFTs and those currently used in the model. Offline simulations performed with the CLASSIC model using the ESA-CCI based PFTs show improved winter albedo compared to that based on the GLC2000 dataset. This emphasizes the importance of accurate representation of vegetation distribution for realistic simulation of surface albedo in LSMs. Results in this study suggest that the sub-pixel fractional composition analyses are an effective way to reduce uncertainties in the PFT mapping process and therefore, to some extent, objectify the otherwise subjective process.
The acceleration of sea-level rise along the coast of the Netherlands started in the 1960s
Authors: Keizer Iris , Le Bars Dewi , de Valk Cees , Jüling André , van de Wal Roderik , Drijfhout Sybren
Published: October 2022

Abstract. While a global acceleration of sea-level rise (SLR) during the 20th century is now established, locally acceleration is more difficult to detect because additional processes play a role which sometimes mask the acceleration. Here we study the rate of SLR along the coast of the Netherlands from six tide gauge records, covering the period 1890–2000. We focus on the influence of the wind field and the nodal tide variations on the local sea-level trend. We use four generalised additive models, including different predictive variables, and a parametric bootstrap method to compute the sea-level trend. From the sea-level trend, we obtain the continuous evolution of the rate of SLR and its uncertainty over the observational period through differentiation. Accounting for the nodal cycle only or both the nodal cycle and the wind influence on sea level reduces the standard error in the estimation of the rate of SLR. Moreover, accounting for both the nodal and wind influence changes the estimated rate of SLR, unmasking an acceleration of SLR that started in the 1960s. Our best-fitting statistical model yields a rate of SLR of about 1.8 [1.4–2.3] mm/yr in 1900–1919 and 1.5 [1.1–1.8] mm/yr in 1940–1959 compared to 3.0 [2.4–3.5] mm/yr over 2000–2019. If, apart from tidal, wind effects and fluctuations, sea level would have increased at a constant rate, then the probability (the p-value) of finding a rate difference between 1940–1959 and 2000–2019 of at least our estimate is smaller than 1 %. Our findings can be interpreted as an unequivocal sign of the acceleration of current SLR along the Dutch coast since the 1960s. This aligns with global SLR observations and expectations based on a physical understanding of SLR related to global warming. A small but significant part of the long-term sea-level trend is due to wind forcing related to a strengthening and northward shift of the jet stream. Additionally, we detect a multidecadal mode of sea-level variability forced by the wind with an amplitude of around 1 cm. We argue that it is related to multi-decadal sea surface temperature variations in the North Atlantic, similar to the Atlantic Multidecadal Variability.
Seasonal cycle of sea surface temperature in the tropical Angolan upwelling system
Authors: Körner Mareike , Brandt Peter , Dengler Marcus
Published: October 2022

Abstract. The Angolan shelf system represents a highly productive ecosystem. Throughout the year sea surface temperatures (SSTs) are cooler near the coast than further offshore. Lowest SSTs, the strongest cross-shore temperature gradient and maximum productivity occur in austral winter when seasonally prevailing upwelling favourable winds are weakest. Here, we investigate the seasonal mixed layer heat budget to analyse atmospheric and oceanic causes for heat content variability. By using different satellite and in-situ data, we derive monthly estimates of surface heat fluxes, mean horizontal advection and local heat content change. We calculate the heat budgets for the near coastal and offshore regions separately to explore processes that lead to the observed differences. The results show that the net surface heat flux warms the coastal ocean stronger than further offshore thus acting to damp spatial SST differences. Mean horizontal heat advection is dominated by meridional advection of warm water along the Angolan coast. However, its contribution to the heat budget is small. Ocean turbulence data suggests that the heat flux due to turbulent mixing across the base of the mixed layer is an important cooling term. This turbulent cooling that is strongest in shallow shelf regions is capable of explaining the observed negative cross-shore temperature gradient. The residuum of the mixed layer heat budget and uncertainties of budget terms are discussed.
Global Ozone Monitoring Experiment-2 (GOME-2) Daily and Monthly Level 3 Products of Atmospheric Trace Gas Columns
Authors: Chan Ka Lok , Valks Pieter , Heue Klaus-Peter , Lutz Ronny , Hedelt Pascal , Loyola Diego , Pinardi Gaia , Van Roozendael Michel , Hendrick François , Wagner Thomas , Kumar Vinod , Bais Alkis , Piters Ankie , Irie Hitoshi , Kanaya Yugo , Takashima Hisahiro , Choi Yongjoo , Park Kihong , Chong Jihyo , Cede Alexander , Frieß Udo , Richter Andreas , Ma Jianzhong , Benavent Nuria , Holla Robert , Postylyakov Oleg , Rivera Cárdenas Claudia , Wenig Mark
Published: October 2022

Abstract. We introduce the new GOME-2 daily and monthly level 3 product of total column ozone (O3), total and tropospheric column nitrogen dioxide (NO2), total column water vapour, total column bromine oxide (BrO), total column formaldehyde (HCHO) and total column sulphur dioxide (SO2). The GOME-2 level 3 products are aimed to provide easily translatable and user-friendly data sets to the scientific community for scientific progress as well as satisfying public interest. The purpose of this paper is to present the theoretical basis as well as the verification and validation of the GOME-2 daily and monthly level 3 products. The GOME-2 level 3 products are produced using the overlapping area weighting method. Details of the gridding algorithm are presented. The spatial resolution of the GOME-2 level 3 products is selected based on sensitivity study. The consistency of the resulting level 3 products among three GOME-2 sensors is investigated through time series of global averages, zonal averages, and bias. The accuracy of the products is validated by comparing to ground-based observations. The verification and validation results show that the GOME-2 level 3 products are consistent with the level 2 data. Small discrepancies are found among three GOME-2 sensors, which are mainly caused by the differences in instrument characteristic and level 2 processor. The comparison of GOME-2 level 3 products to ground-based observations in general shows very good agreement, indicating the products are consistent and fulfil the requirements to serve the scientific community and general public.
Quantifying river water contributions to riparian trees along a losing river: Lessons from stable isotopes and iteration method
Authors: Li Yue , Ma Ying , Song Xianfang , Zhang Qian
Published: October 2022

Abstract. River water plays a critical role in riparian plant water use and riparian ecosystem restoration along losing rivers (rivers losing flow into underlying groundwater) under climate warming. How to quantify the contributions of river water to riparian plants under different water tables and the related responses of plant water use efficiency is a great challenge. In this study, experiments of stable isotopes (δ2H, δ18O and 222Rn) in different waters and leaf δ13C were conducted for riparian deep-rooted Salix babylonica (L.) during dry year (2019) and wet year (2021) along the Chaobai River in Beijing, China. The MixSIAR model in combination with an iteration method were proposed to quantify the proportional river water contribution (RWC) to riparian S. babylonica and its correlations with the depth of water table (WTD) as well as leaf δ13C. Results showed that riparian S. babylonica took up deep water (in 80−170 cm soil layer and groundwater) by 56.5 ± 10.8 %. River water that recharged riparian deep water was an indirect water source and contributed 20.3 % of water to riparian trees nearby the losing river. Significantly increasing river water acquisitions (by 7.0 %) but decreasing leaf δ13C (by −2.0 ‰) of riparian trees were observed as the WTD changed from 2.7 m in 2019 to 1.7 m in 2021 (p < 0.05). A short residence time (no more than 0.28 days) of groundwater indicated that there was rapid and frequent river recharge to riparian groundwater in 2021. It was found that the RWC to riparian S. babylonica was negatively correlated with the WTD but positively related to the leaf δ13C in linear functions (p = 0.000). The rising water table would stimulate riparian trees to maximize transpiration water consumptions and show a profligate water use strategy with increasing water extraction from the losing river. This study provides critical insights into understanding the mechanism of water cycle in Groundwater-Soil-Plant-Atmosphere Continuum, managing water resources and riparian afforestation along losing rivers.
Machine learning based streamflow prediction in a hilly catchment for future scenarios using CMIP6 data
Authors: Singh Dharmaveer , Vardhan Manu , Sahu Rakesh , Chatterjee Debrupa , Chauhan Pankaj , Liu Shiyin
Published: October 2022

Abstract. The alteration in river flow patterns, particularly those that originate in the Himalayas, has been caused by the increased temperature and rainfall variability brought on by climate change. Due to the impending intensification of extreme climate events, as predicted by the Intergovernmental Panel on Climate Change (IPCC) in its sixth assessment report, it is more essential than ever to predict changes in streamflow for future periods. Despite the fact that some research has utilised machine learning-based models to predict streamflow patterns in response to climate change, very few studies have been undertaken for a mountainous catchment, with the number of studies for the western Himalaya being so small as to be considered insignificant. This study investigates the capability of different machine learning (ML) models, including the Gaussian Linear Regression Model (GLM), Gaussian Generalized Additive Model (GAM), Multivariate Adaptive Regression Splines (MARS), Artificial Neural Network (ANN), and Random Forest (RF), in streamflow prediction over the Sutlej River Basin in western Himalaya during the periods 2041–2070 (2050s) and 2071–2100 (2080s) for two greenhouse gas trajectories (SSP245 and SSP585). Coupled Model Intercomparison Project Phase 6 (CMIP6) bias corrected data downscaled at grid resolution of 0.25°× 0.25° for 6 General Circulation Models (GCMs) were used for this purpose. Four different rainfall scenarios (R0, R1, R2, and R3) were applied to the models trained with daily data (1979–2009) at Kasol (the outlet of the basin) in order to better understand how catchment size and the geo-hydro-morphological aspects of the basin affect runoff. RF model with rainfall scenario R3 which outperformed other models during the training and testing period therefore was chosen to simulate streamflow in the Sutlej River in the 2050s and 2080s under the SSP245 and SSP585 scenarios. The mean ensemble of model results show that the mean annual streamflow of the Sutlej River is expected to rise between 2050s and 2080s by 5.51 to 6.04 % for SSP585 and by 6.65 to 6.75 % for SSP245. The seasonal streamflow also is expected to increase in the 2050s and 2080s under both emission scenarios, with the exception of the pre-monsoon, where a decline in streamflow is anticipated for SSP585 in the 2080s. However, under both the emission scenarios, there seemed to be significant variation in the streamflow simulations among the individual models for various time periods. It has been found that the pattern of this variability is highly correlated with the pattern of precipitation and temperature predicted by various GCMs for future emission scenarios. The present study will therefore assist in strategy planning for ensuring the sustainable use of water resources downstream by acquiring a knowledge of the nature and causes of unpredictable streamflow patterns.
Rainfall pattern analysis in 24 East Asian megacities using a complex network
Authors: Kim Kyunghun , Jung Jaewon , Kim Hung Soo , Haraguchi Masahiko , Kim Soojun
Published: October 2022

Abstract. Concurrent floods in multiple locations pose systemic
risks to the interconnected economy in East Asia via supply chain disruptions.
Despite these significant economic impacts, understanding of the
interconnection between rainfall patterns in the region is still currently limited.
Here, we analyzed the spatial dependence of the rainfall patterns of 24
megacities in the region using complex analysis theory and discussed the
technique's applicability. Each city and rainfall similarity were represented
by a node and a link, respectively. Vital-node identification and clustering
analysis were conducted using adjacency information entropy and
multiresolution community detection. The results of vital-node identification
analysis show that high-ranking nodes are cities that are located near main vapor
providers in East Asia. Using multiresolution community detection, the
groups were clustered to reflect the spatial characteristics of the climate.
In addition, the climate links between each group were identified using cross-mutual information considering the delay time for each group. We
found a strong bond between Northeast China and the southern Indochinese
Peninsula and verified that the links between each group originated
from the summer climate characteristics of East Asia. The results of the
study show that complex network analysis could be a valuable method for
analyzing the spatial relationships between climate factors.