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857. Improved quality gridded surface wind speed datasets for Australia H. Zhang et al. https://doi.org/10.1007/s00703-022-00925-2
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865. A framework to assess permafrost thaw threat for land transportation infrastructure in northern Canada A. Fatolahzadeh Gheysari & P. Maghoul https://doi.org/10.1038/s43247-024-01317-7
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875. Mapping Soil Properties in the Haihun River Sub-Watershed, Yangtze River Basin, China, by Integrating Machine Learning and Variable Selection J. Huang et al. https://doi.org/10.3390/s24123784
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880. Dominant flood types in Europe and their role in flood statistics S. Fischer & A. Schumann https://doi.org/10.1080/02626667.2025.2450369
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885. Land abandonment as an indicator of Ukrainian agricultural resilience during Russia's war against Ukraine S. Hartman et al. https://doi.org/10.1016/j.apgeog.2025.103744
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889. Optimizing Spatial Discretization According to Input Data in the Soil and Water Assessment Tool: A Case Study in a Coastal Mediterranean Watershed M. Puche et al. https://doi.org/10.3390/w17020239
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891. Effects of Climate change on temperature and precipitation in the Lake Toba region, Indonesia, based on ERA5-land data with quantile mapping bias correction H. Irwandi et al. https://doi.org/10.1038/s41598-023-29592-y
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896. Effects of clay content distribution on soil hydrothermal responses in the Lake Chad region: Numerical investigation N. An et al. https://doi.org/10.1016/j.jrmge.2024.08.015
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899. GeoAI for safeguarding rural cultural heritage: Environmental Downscaling and wildfire exposure mapping in Basilicata, Italy M. Danese et al. https://doi.org/10.1016/j.culher.2026.02.015
900. Retrieving Land Surface Bidirectional Reflectivity From Chinese FengYun-3D MERSI-II Mid-Infrared Data Using an Improved Nonlinear Split-Window Algorithm Q. Yao et al. https://doi.org/10.1109/TGRS.2025.3529831
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902. High-resolution mapping of soil total phosphorus in China: Revealing spatiotemporal patterns and driving mechanisms Z. Liu et al. https://doi.org/10.1016/j.fmre.2026.04.012
903. A GNN routing module is all you need for LSTM Rainfall–Runoff models H. Mosaffa et al. https://doi.org/10.5194/hess-30-2079-2026
904. The Long-Term ERA5 Data Series for Trend Analysis of Rainfall in Italy F. Chiaravalloti et al. https://doi.org/10.3390/hydrology9020018
905. Advanced learning models for estimating the spatio-temporal variability of reference evapotranspiration using in-situ and ERA5-Land reanalysis data O. Kaissi et al. https://doi.org/10.1007/s40808-023-01872-6
906. Urbanization reduces evapotranspiration and alters its components across 20 global urban forests H. Chen et al. https://doi.org/10.1016/j.ecz.2025.100045
907. Permafrost–wildfire interactions: active layer thickness estimates for paired burned and unburned sites in northern high latitudes A. Talucci et al. https://doi.org/10.5194/essd-17-2887-2025
908. Bias-adjusted projections of snow cover over eastern Canada using an ensemble of regional climate models É. Bresson et al. https://doi.org/10.5194/tc-20-333-2026
909. Variation in under-5 mortality attributable to anomalous precipitation during El Niño–Southern Oscillation cycles: Assessment of the intertemporal inequality in child health T. Xue et al. https://doi.org/10.1016/j.gloenvcha.2024.102879
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911. Regional uncertainty analysis between crop phenology model structures and optimal parameters C. Yang et al. https://doi.org/10.1016/j.agrformet.2024.110137
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1817. Vibration-based health monitoring of the offshore wind turbine tower using machine learning with Bayesian optimisation Z. Xiang et al. https://doi.org/10.1016/j.oceaneng.2023.116513
1818. Deep learning for quality control of surface physiographic fields using satellite Earth observations T. Kimpson et al. https://doi.org/10.5194/hess-27-4661-2023
1819. Carbon Benefits and Water Costs of Cover Crops by Assimilating Sentinel-2 and Landsat-8 Images in a Crop Model T. Wijmer et al. https://doi.org/10.3390/rs17193290
1820. Mapping drought characteristics in northern Algerian Basins using the ERA5-Land dataset A. Ceppi et al. https://doi.org/10.1038/s41598-025-95418-8
1821. Widespread increase in plant transpiration driven by global greening H. Chen et al. https://doi.org/10.1016/j.gloplacha.2024.104395
1822. Analysis of Influencing Factors of Terrestrial Carbon Sinks in China Based on LightGBM Model and Bayesian Optimization Algorithm Y. Zou & X. Wang https://doi.org/10.3390/su17114836
1823. Climate suitability of the Mediterranean Basin for citrus black spot disease (Phyllosticta citricarpa) based on a generic infection model A. Galvañ et al. https://doi.org/10.1038/s41598-022-22775-z
1824. Sensitivity of Sentinel-1 Backscatter to Management-Related Disturbances in Temperate Forests S. van der Woude et al. https://doi.org/10.3390/rs16091553
1825. The biophysical effects of phenological shifts impact land surface temperature for corn expansion in Northeastern China Y. Ma et al. https://doi.org/10.1016/j.agrformet.2024.110373
1826. Machine learning improves seasonal mass balance prediction for unmonitored glaciers K. Sjursen et al. https://doi.org/10.5194/tc-19-5801-2025
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1828. Assessment on the influence of environmental changes on hydrothermal processes in extremely arid inland basins: Evidence from remote sensing data X. Zhang et al. https://doi.org/10.1016/j.ejrh.2025.102817
1829. Extreme Heat and Preterm Birth Risk—Methodologic Considerations and Policy Implications H. Burris & A. Just https://doi.org/10.1001/jamapediatrics.2024.0008
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1831. The Geoheritage of Mount Ararat and its Vicinity: An Assessment of Geodiversity with a Focus on Glaciation and Mountaineering E. Canpolat et al. https://doi.org/10.1007/s12371-026-01269-8
1832. High-resolution projection of wind energy in the Eastern Mediterranean and Middle East summer M. Latt et al. https://doi.org/10.1007/s10584-025-03951-2
1833. Identification of dominant flood descriptors and their interaction with watershed morphology in central and southern peninsular regions of India J. Parmar & S. Karmakar https://doi.org/10.1088/1748-9326/adc753
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1835. First high-resolution surface spectral clear-sky ultraviolet radiation dataset across China (1981–2023): development, validation, and variability Q. Qi et al. https://doi.org/10.5194/essd-17-7271-2025
1836. Latitude, silt and vegetation are important factors affecting the stoichiometric ratios of soil C, N and P in the Amygdalus pedunculata community across the XilinGol League, China H. Gan et al. https://doi.org/10.1007/s11104-025-07628-8
1837. The Spatial-Temporal Characteristics of Soil Moisture and Its Persistence over Australia in the Last 20 Years J. Cai et al. https://doi.org/10.3390/w14040598
1838. Thermal persistence index (TPI): a novel measure of prolonged heat stress in the Mediterranean, 1950–2024 D. Yavaşlı https://doi.org/10.1007/s00704-025-05972-4
1839. Is Forest Change Confounding the Influence of Climate on Canada's Reference Hydrometric Network? J. Leach et al. https://doi.org/10.1002/hyp.70274
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1843. Improved Trend Analysis With EOFs and Application to Warming of Polar Regions E. Phillips & H. Kantz https://doi.org/10.1002/joc.8823
1844. Mapping crop phenophases in reproductive growth period by satellite solar-induced chlorophyll fluorescence: A case study in mid-temperate zone in China C. Wang et al. https://doi.org/10.1016/j.isprsjprs.2023.10.005
1845. Climatic controls on surface albedo and mass balance of Urumqi Glacier No. 1 in the last decade, 2014–2024 H. Yuhan et al. https://doi.org/10.1016/j.isci.2025.113942
1846. Assimilation of ASCAT Radar Backscatter Coefficients over Southwestern France T. Corchia et al. https://doi.org/10.3390/rs15174258
1847. Spatiotemporal Dynamics and Lagged Hydrological Impacts of Compound Drought and Heatwave Events in the Poyang Lake Basin N. Li et al. https://doi.org/10.3390/hydrology13010016
1848. Three-Dimensional Refractivity Model for Atmospheric Mitigation in Distance and Vertical Angle Measurements R. Luján et al. https://doi.org/10.3390/s25071981
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1850. Coupling global climate drivers to dust emission dynamics at Etosha Pan, Namibia N. Wallum et al. https://doi.org/10.1016/j.scitotenv.2025.180088
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1854. A Meteorological Data Quality Control Framework for Tea Plantations Using Association Rules Mined from ERA5 Reanalysis Data Z. Zhang et al. https://doi.org/10.3390/agriculture16020226
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1856. Energy-conservation datasets of global land surface radiation and heat fluxes from 2000–2020 generated by CoSEB J. Wang et al. https://doi.org/10.5194/essd-18-443-2026
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1859. Climate-change-driven planted forest growth decline especially after 2010 on the Loess Plateau L. Jinhao et al. https://doi.org/10.1016/j.foreco.2026.123694
1860. Soil Moisture Outweighs Climatic Factors in Critical Periods for Rainfed Cereal Yields: An Analysis in Spain J. Gaona et al. https://doi.org/10.3390/agriculture12040533
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1863. PHOREAU v1.0: a new process-based model to predict forest functioning, from tree ecophysiology to forest dynamics and biogeography T. Postic et al. https://doi.org/10.5194/gmd-18-7603-2025
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1866. Environmental correlates of Aedes aegypti abundance in the West Valley region of San Bernardino County, California, USA, from 2017 to 2023: an ecological modeling study G. Sehi et al. https://doi.org/10.1186/s13071-025-06967-w
1867. Precursory signals of summer precipitation over southern Central Asia: Combined effect of April soil moisture and sea surface temperature X. Wei et al. https://doi.org/10.1002/joc.8451
1868. A new, long-term root zone soil moisture dataset for operational agricultural drought monitoring over Africa R. Maidment et al. https://doi.org/10.1038/s41597-026-06585-w
1869. Observed Evidence That Subsidence Process Stabilizes the Boundary Layer and Increases the Ground Concentration of Secondary Pollutants Y. Shi et al. https://doi.org/10.1029/2021JD035244
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1871. What Drive Regional Changes in the Number and Surface Area of Lakes Across the Yangtze River Basin During 2000–2019: Human or Climatic Factors? Y. Xu et al. https://doi.org/10.1029/2021WR030616
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1877. Zonal statistics datasets of climate indicators for Brazilian municipalities R. Saldanha et al. https://doi.org/10.1017/eds.2024.3
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1879. The interaction between thermokarst lake drainage and ground subsidence accelerates permafrost degradation Y. Yu et al. https://doi.org/10.1016/j.accre.2025.01.003
1880. Spatial distribution of the trends in potential evapotranspiration and its influencing climatic factors in Iraq A. Al-Hasani & S. Shahid https://doi.org/10.1007/s00704-022-04184-4
1881. Evaluation of snow depth from multiple observation-based, reanalysis, and regional climate model datasets over a low-altitude Central European region Á. Varga & H. Breuer https://doi.org/10.1007/s00704-023-04539-5
1882. Evaluation of gridded and reanalysis vapour pressure deficit datasets over East Africa R. Ssembajwe et al. https://doi.org/10.1071/ES25004
1883. Using a novel strategy to identify the clustered regions of associations between short-term exposure to temperature and mortality and evaluate the inequality of heat- and cold-attributable burdens: A case study in the Sichuan Basin, China W. Wang et al. https://doi.org/10.1016/j.jenvman.2023.119402
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1886. Understanding excess mortality in 2022: The dual impact of COVID-19 and heatwaves on the Italian elderly population E. Ceccarelli et al. https://doi.org/10.1016/j.healthplace.2024.103357
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1888. Accelerated change in the glaciated environments of western Canada revealed through trend analysis of optical satellite imagery A. Bevington & B. Menounos https://doi.org/10.1016/j.rse.2021.112862
1889. Optimal scheduling of low-carbon ethylene production system based on deep reinforcement learning: Considering flexible operation under furnace coking and renewable energy fluctuations C. Zheng et al. https://doi.org/10.1016/j.energy.2025.139780
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1892. Parametric and non-parametric indices for agricultural drought assessment using ESACCI soil moisture data over the Southern Plateau and Hills, India H. Palagiri & M. Pal https://doi.org/10.1016/j.jag.2024.104175
1893. First mapping of subsurface soil temperature profiles by integrating diurnal cycles of microwave and thermal infrared observations D. Chen et al. https://doi.org/10.1016/j.isprsjprs.2026.04.012
1894. Investigating the thermal state of permafrost with Bayesian inverse modeling of heat transfer B. Groenke et al. https://doi.org/10.5194/tc-17-3505-2023
1895. Northern Hemisphere Snow Drought in Earth System Model Simulations and ERA5‐Land Data in 1980–2014 Y. Fang & L. Leung https://doi.org/10.1029/2023JD039308
1896. Multi-platform observations and constraints reveal overlooked urban sources of black carbon in Xuzhou and Dhaka P. Tiwari et al. https://doi.org/10.1038/s43247-025-02012-x
1897. Comparing observed and reanalysis data for trends in extreme temperature events in Brazil (1996–2022) A. Silva et al. https://doi.org/10.1007/s00704-025-05777-5
1898. Optimizing Agricultural Drought Monitoring in East Africa: Evaluating Integrated Soil Moisture and Vegetation Health Index (SM-VHI) A. Maniraho et al. https://doi.org/10.3390/rs17213560
1899. A Novel Wind-Aware Dynamic Graph Neural Network for Urban Ground-Level Ozone Concentration Prediction W. Wu et al. https://doi.org/10.3390/ijgi15030101
1900. Long-term and interannual variability of African terrestrial water storage revealed by GRACE/GRACE-FO and models G. Xu et al. https://doi.org/10.1016/j.jhydrol.2026.135794
1901. Gridded precipitation and temperature products performance over Afghanistan: from simple bias correction to advanced data fusion M. Nasimi et al. https://doi.org/10.1080/01431161.2025.2600097
1902. Advancing symbolic regression for earth science with a focus on evapotranspiration modeling Q. Li et al. https://doi.org/10.1038/s41612-024-00861-5
1903. Implications of CMIP6 GCM-Based Climate Variability for Photovoltaic Potential over Four Selected Urban Areas in Central and Southeast Europe During Summer (1971–2020) E. Kristóf & T. Kalmár https://doi.org/10.3390/urbansci10040204
1904. Surging compound drought–heatwaves underrated in global soils X. Fan et al. https://doi.org/10.1073/pnas.2410294121
1905. A 41-Year Global All-Sky Surface Longwave Radiation Components Dataset at 5 km and hourly Resolution Y. Du et al. https://doi.org/10.1038/s41597-025-05886-w
1906. The synthesis of potential factors contributing to the asynchronous warming between air and shallow ground since the 2000s on the Tibetan Plateau N. Li et al. https://doi.org/10.1016/j.geoderma.2023.116753
1907. DFEAT: A multifaceted yearly Drought FEature Assessment Tool from daily soil water content G. Elias et al. https://doi.org/10.1016/j.jhydrol.2024.131700
1908. Reservoir Ice Conditions from Multi-Sensor Remote Sensing and ERA5-Land: The Manicouagan Hydroelectric Reservoir Case Study G. Siles & R. Leconte https://doi.org/10.3390/hydrology10050108
1909. Spatiotemporal Analysis of Drought and Soil Moisture Dynamics for Sustainable Water and Agricultural Management in the Southeastern Anatolia Project (GAP) Region, Türkiye Z. Kiliç https://doi.org/10.3390/su18020579
1910. Temporal hydrological drought clustering varies with climate and land-surface processes M. Brunner & K. Stahl https://doi.org/10.1088/1748-9326/acb8ca
1911. Impact of Climate Warming on Cropland Water Use Efficiency in Northeast China Based on BESS Satellite Data F. Guo et al. https://doi.org/10.3390/rs18081223
1912. Model-based exploration of the seasonal influences of lakes on glacier behavior over the Tibetan Plateau D. Su et al. https://doi.org/10.1007/s00382-025-08009-8
1913. Decomposing precipitation biases into frequency and intensity components: Comparative analysis of IMERG and ERA5-Land over the Tibetan Plateau J. Su et al. https://doi.org/10.1016/j.atmosres.2025.108320
1914. The role of protected areas in modulating vegetation response to climatic stressors in hyper-arid ecosystems A. Abulibdeh https://doi.org/10.1016/j.jnc.2025.127081
1915. Identifying the causal effects of long-term exposure to PM2.5 and ground surface ozone on individual medical costs in China—evidence from a representative longitudinal nationwide cohort K. Ju et al. https://doi.org/10.1186/s12916-023-02839-1
1916. Ambient temperature and dengue hospitalization in Brazil: A 10-year period case time series analysis R. Lopes et al. https://doi.org/10.1097/EE9.0000000000000360
1917. Potential vegetation greenness changes in the permafrost areas over the Tibetan Plateau under future climate warming R. Chen et al. https://doi.org/10.1016/j.gloplacha.2025.104833
1918. Coupled statistical analysis and hydrological simulation to evaluate the performance of satellite and reanalysis precipitation products in the Qilian Mountains, Northwest China Y. Li et al. https://doi.org/10.1007/s00382-025-07607-w
1919. Using automated machine learning for the upscaling of gross primary productivity M. Gaber et al. https://doi.org/10.5194/bg-21-2447-2024
1920. Evaluation and improvement of spatiotemporal estimation and transferability of multi-layer and profile soil moisture in the Qinghai Lake and Heihe River basins using multi-strategy constraints J. Qian et al. https://doi.org/10.1016/j.geoderma.2025.117222
1921. Declining Predictions of Net Ecosystem Production in US Rivers and Streams Throughout the 21st Century Q. Guan et al. https://doi.org/10.1021/acs.est.5c05623
1922. Characterizing the dynamics of climate and native desert plants in Qatar M. Abdullah et al. https://doi.org/10.1016/j.jaridenv.2024.105274
1923. Decadal change of spring dust activity in western Iran and its mechanism A. Kamal et al. https://doi.org/10.3389/fenvs.2022.983048
1924. Evaluation of hydrological models on small mountainous catchments: impact of the meteorological forcings G. Evin et al. https://doi.org/10.5194/hess-28-261-2024
1925. Intersensor Impacts of Satellite-Derived Albedo and Emissivity on Terrestrial Evapotranspiration Retrievals H. Zhu et al. https://doi.org/10.1109/JSTARS.2025.3621046
1926. Data Resource Profile: Climate and Enteric Diseases Research Project (ClimED) P. Chua et al. https://doi.org/10.1093/ije/dyaf215
1927. Quantifying future rainfall extremes in Türkiye: a CMIP6 ensemble approach with statistical downscaling T. Tugrul et al. https://doi.org/10.1007/s11600-025-01551-3
1928. Spatio-temporal variations of land use carbon emissions and its low carbon strategies for coastal areas in China with nighttime lighting data L. Zhao et al. https://doi.org/10.1016/j.jenvman.2025.125651
1929. A process-based modelling of groundwater recharge under contrasting irrigation methods in semi-arid crops T. Attou et al. https://doi.org/10.1016/j.agwat.2025.109584
1930. Glaciers in western North America experience exceptional transient snowline rise over satellite era A. Bevington & B. Menounos https://doi.org/10.1088/1748-9326/adc9ca
1931. Large-scale assessment of rainfall-induced landslide hazard based on hydrometeorological information: application to Partenio Massif (Italy) D. Roman Quintero et al. https://doi.org/10.5194/nhess-25-2679-2025
1932. Widespread drought‐induced leaf shedding and legacy effects on productivity in European deciduous forests A. Descals et al. https://doi.org/10.1002/rse2.296
1933. A Novel Fusion-Based Methodology for Drought Forecasting H. Zhang et al. https://doi.org/10.3390/rs16050828
1934. Assessing Carbon Reduction Potential of Rooftop PV in China through Remote Sensing Data-Driven Simulations H. Jiang et al. https://doi.org/10.3390/su15043380
1935. Developing ensemble mean models of satellite remote sensing, climate reanalysis, and land surface models M. Valipour & J. Dietrich https://doi.org/10.1007/s00704-022-04185-3
1936. An Assessment of the Applicability of Three Reanalysis Snow Density Datasets Over China Using Ground Observations S. Gao et al. https://doi.org/10.1109/LGRS.2022.3202897
1937. Tree-ring δ18Ocellulose variations in two Nothofagus species record large-scaleclimatic signals in the South American sector of the Southern Ocean P. Soto-Rogel et al. https://doi.org/10.1016/j.palaeo.2023.111474
1938. Enhancing Flood Prediction Reliability with RAFT-VLLM: A Retrieval Augmented and Fine-Tuned VLLM Approach for Geospatial Analysis S. V et al. https://doi.org/10.1016/j.procs.2025.09.439
1939. What controls fire size in the South American Gran Chaco? Exploring atmospheric and landscape drivers through Remote Sensing R. San Martín et al. https://doi.org/10.5194/nhess-26-1479-2026
1940. Global net increase in surface water connectivity in river–floodplain systems Q. Luo et al. https://doi.org/10.1038/s41561-026-01953-y
1941. Comparative assessment of WRF’s parameterization scheme combinations in assessing land-surface feedback flux and its drivers: a case study of Phailin tropical cyclone S. Mandal et al. https://doi.org/10.1007/s00704-024-05032-3
1942. Divergent mountain runoff dynamics but declining per capita freshwater availability across the Third Pole by mid-21st century L. Wang et al. https://doi.org/10.1038/s41612-025-01313-4
1943. An Effective Geographically Localized Snow Depth Downscaling Approach in Data-Scarce Mountainous Regions C. Zhang et al. https://doi.org/10.1109/TGRS.2025.3638357
1944. Accurate mapping of Spartina alterniflora in Fujian Province using phenological traits derived from Landsat time series Q. Zhang et al. https://doi.org/10.1080/10095020.2025.2540567
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1946. An improved spatially downscaled solar-induced chlorophyll fluorescence dataset from the TROPOMI product S. Chen et al. https://doi.org/10.1038/s41597-024-04325-6
1947. Reconstruction of Land Surface Temperature Derived from FY-4A AGRI Data Based on Two-Point Machine Learning Method Y. Li et al. https://doi.org/10.3390/rs15215179
1948. Consistency assessment of latent heat flux and observational datasets over the Amazon basin V. Miranda et al. https://doi.org/10.1088/1748-9326/ad40c3
1949. What is the probability that a drought will break in Australia? A. Devanand et al. https://doi.org/10.1016/j.wace.2023.100598
1950. The consolidated European synthesis of CO2 emissions and removals for the European Union and United Kingdom: 1990–2020 M. McGrath et al. https://doi.org/10.5194/essd-15-4295-2023
1951. An Interannual Drought Feedback Loop Affects the Surface Energy Balance and Cloud Properties C. Hartick et al. https://doi.org/10.1029/2022GL100924
1952. The Performance of Downward Shortwave Radiation Products from Satellite and Reanalysis over the Transect of Zhongshan Station to Dome A, East Antarctica J. Jia et al. https://doi.org/10.1007/s00376-023-3136-0
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1956. Comparison of ZTD derived from CARRA, ERA5 and ERA5-Land over the Greenland based on GNSS C. Jiang et al. https://doi.org/10.1016/j.asr.2023.09.002
1957. Applicability of Precipitation Products in the Endorheic Basin of the Yellow River under Multi-Scale in Time and Modality W. Zhu & K. Liang https://doi.org/10.3390/rs16050872
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1962. Climate change-induced variabilities and most recent normal in climate extremes using ERA5-Land reanalysis data in Syria from 1950 to 2024 H. Aksu et al. https://doi.org/10.1007/s00382-026-08130-2
1963. A framework for PV yield-based solar energy mapping in mid-low latitude regions with complex topography J. Han et al. https://doi.org/10.1016/j.renene.2025.124512
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2796. Regional Model to Predict Sugarcane Yield Using Sentinel-2 Imagery in São Paulo State, Brazil R. Amaro et al. https://doi.org/10.1007/s12355-024-01468-z
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2809. GEMS-GER: a machine learning benchmark dataset of long-term groundwater levels in Germany with meteorological forcings and site-specific environmental features M. Ohmer et al. https://doi.org/10.5194/essd-18-77-2026
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2820. Nonlinear contributions of surface solar brightening to maize yield gains in the US Corn Belt H. Zhao et al. https://doi.org/10.1016/j.agrformet.2024.110169
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2825. Water Stress-Induced Divergence Growth of Picea schrenkiana in the Western Tianshan and Its Forcing Mechanisms T. Li et al. https://doi.org/10.3390/f14020354
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2845. Impacts of Temperature Data Sets on Macroscale Snowmelt Simulations in the Missouri River Basin M. Tahmasebi Nasab & X. Chu https://doi.org/10.1061/JCRGEI.CRENG-580
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2852. Potential biophysical processes associated with increasing lightning strikes in the Arctic region M. Kim & E. Lee https://doi.org/10.1007/s00704-025-05755-x
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2857. Copernicus Data for Offshore Wind Energy: Capabilities, Applications and Emerging Trends P. Poozesh et al. https://doi.org/10.3390/su18041949
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2865. Comparison of Machine Learning Models in Simulating Glacier Mass Balance: Insights from Maritime and Continental Glaciers in High Mountain Asia W. Ren et al. https://doi.org/10.3390/rs16060956
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2876. The Urban Thermal Environment of a Climate Change Hotspot: High-Resolution Modelling of Nicosia, Cyprus K. Koutroumanou-Kontosi et al. https://doi.org/10.1007/s41748-025-00741-9
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2895. Evaluation of satellite and reanalysis estimates of surface and root-zone soil moisture in croplands of Jiangsu Province, China L. Fan et al. https://doi.org/10.1016/j.rse.2022.113283
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2898. Colletotrichum scovillei and Prospective Biocontrol Agents Isolated from Asymptomatic Olive Trees K. Nifakos et al. https://doi.org/10.3390/microorganisms13122838
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2905. Food Policy in a Warming World A. Hsiao et al. https://doi.org/10.2139/ssrn.4859391
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2912. Greek mountain snow cover halved in past four decades due to regional warming K. Alexopoulos et al. https://doi.org/10.5194/tc-20-2209-2026
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2915. Snow depth in high-resolution regional climate model simulations over southern Germany – suitable for extremes and impact-related research? B. Poschlod & A. Daloz https://doi.org/10.5194/tc-18-1959-2024
2916. Agricultural drought recovery characteristics and water requirement for rapid drought recovery in the Huai River Basin, China J. Liu et al. https://doi.org/10.1016/j.ejrh.2025.102396
2917. Depth of Liquid Water Infiltration in Greenland Firn Based on L-Band Radiometry, a Snow Physics Model, and Machine Learning T. Moon et al. https://doi.org/10.1109/TGRS.2026.3669024
2918. Inconsistent ENSO teleconnections over East Asia in early and late winter: role of Siberian land-atmosphere coupling X. An et al. https://doi.org/10.1088/1748-9326/adab08
2919. Estimating Global GPP From the Plant Functional Type Perspective Using a Machine Learning Approach R. Guo et al. https://doi.org/10.1029/2022JG007100
2920. Characterizing seasonal lag relationship between leaf area index and solar-induced chlorophyll fluorescence in China J. Chen et al. https://doi.org/10.1016/j.agrformet.2025.110630
2921. High-spatial-resolution gross primary production estimation from Sentinel-2 reflectance using hybrid Gaussian processes modeling E. De Clerck et al. https://doi.org/10.1016/j.isprsjprs.2025.11.033
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2925. Impact of runoff schemes on global flow discharge: a comprehensive analysis using the Noah-MP and CaMa-Flood models M. Hamitouche et al. https://doi.org/10.5194/hess-29-1221-2025
2926. Monthly 0.05° winter months snow depth dataset for the Northern Hemisphere from 21 CMIP6 models S. Lin et al. https://doi.org/10.1038/s41597-025-04925-w
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2928. Quantifying spatiotemporal and elevational precipitation gauge network uncertainty in the Canadian Rockies A. Bertoncini & J. Pomeroy https://doi.org/10.5194/hess-29-983-2025
2929. Disentangling the dominance of atmospheric and soil water stress on vegetation productivity in global drylands J. Yu et al. https://doi.org/10.1016/j.jhydrol.2025.133043
2930. Heat and Cold Extremes and Urban Mortality in Greece: An Event-Based Assessment Using Cumulative Thermal Stress Indices I. Petrou & P. Kassomenos https://doi.org/10.3390/atmos17040401
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2932. A Systematic Evaluation of the New European Wind Atlas and the Copernicus European Regional Reanalysis Wind Datasets in the Mediterranean Sea T. Soukissian et al. https://doi.org/10.3390/jmse13081445
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2934. Comparative Analysis of Multi-Source Evapotranspiration Products in Xinjiang, China J. Chen et al. https://doi.org/10.3390/rs17193297
2935. Urbanisation as an amplifier of an extreme rainfall event over Jakarta, Indonesia C. Lopez-Bravo & A. Pitman https://doi.org/10.1088/2752-5295/ae1b2f
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2937. 60-m Resolution Soil Moisture Estimation Based on a Multisensor Feedforward Neural Network Model G. Portal et al. https://doi.org/10.1109/JSTARS.2024.3450513
2938. A 10 m resolution land cover map of the Tibetan Plateau with detailed vegetation types X. Huang et al. https://doi.org/10.5194/essd-16-3307-2024
2939. The thermal state of permafrost under climate change on the Qinghai–Tibet Plateau (1980–2022): a case study of the West Kunlun J. Zhao et al. https://doi.org/10.5194/tc-19-4211-2025
2940. Increased precipitation has not synchronously enhanced vegetation carbon sequestration rate along the aridity gradient X. Li et al. https://doi.org/10.1080/15481603.2026.2665916
2941. Insights on the climate of Bhutan from a new daily 1 km gridded data set for temperature and precipitation F. Lehner & H. Formayer https://doi.org/10.1002/joc.8125
2942. Integrating geospatial analysis and the suitability-resources quality index to optimize crop suitability for sustainable agriculture S. Ganzour et al. https://doi.org/10.3389/fsufs.2025.1703891
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2944. Analysis of Carbon Source/Sink Driving Factors Under Climate Change in the Inner Mongolia Grassland Ecosystem Through MGWR R. Wu et al. https://doi.org/10.3390/atmos16050607
2945. Monitoring snow cover dynamics at 30-m resolution in higher latitude regions using Harmonized Landsat Sentinel-2 M. Bonney & Y. Zhang https://doi.org/10.1016/j.isprsjprs.2026.01.032
2946. How (In)elastic is the short-run demand for electricity? F. Scarazzato https://doi.org/10.1016/j.econlet.2025.112453
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2948. Satellite telemetry of surface ablation to inform spatial melt modelling and event-scale monitoring, Place Glacier, Canada A. Bevington et al. https://doi.org/10.5194/tc-20-811-2026
2949. Evaluating the ability of gridded climate datasets to capture temperature and precipitation trends and extremes E. Smith et al. https://doi.org/10.1038/s41598-025-97570-7
2950. Assessing the mitigation effects of irrigation methods on a record-breaking drought: Crop Yield and Economic Loss in Shaanxi Province, China H. Chen et al. https://doi.org/10.1016/j.agwat.2026.110247
2951. Rangewide connectivity and migration ecology in Limnothlypis swainsonii (Swainson’s Warbler) uncovered with barometric geolocators G. S. Rhyne et al. https://doi.org/10.1093/ornithapp/duag018
2952. The Sensitivity of Heatwave Climatology to Input Gridded Datasets: A Case Study of Ukraine O. Skrynyk et al. https://doi.org/10.3390/atmos16030289
2953. Two years of satellite-based carbon dioxide emission quantification at the world's largest coal-fired power plants D. Cusworth et al. https://doi.org/10.5194/acp-23-14577-2023
2954. Photoperiod and Temperature as Seasonal Cues for the Initiation of Brood Rearing in Honeybees Z. Ulgezen et al. https://doi.org/10.1002/ece3.72066
2955. Deconstructing the spatiotemporal characteristics of extreme precipitation events from multiple data products during Indian summer monsoon S. Paul et al. https://doi.org/10.1016/j.ejrh.2025.102667
2956. Microbial photosynthesis mitigates carbon loss from northern peatlands under warming S. Hamard et al. https://doi.org/10.1038/s41558-025-02271-8
2957. Consistency of spatiotemporal variability of MODIS and ERA5-Land surface warming trends over complex topography M. Yilmaz https://doi.org/10.1007/s11356-023-28983-y
2958. Lagged precipitation effects on plant production across terrestrial biomes L. He et al. https://doi.org/10.1038/s41559-025-02806-4
2959. Enhancing Surface Water Monitoring through Multi-Satellite Data-Fusion of Landsat-8/9, Sentinel-2, and Sentinel-1 SAR A. Declaro & S. Kanae https://doi.org/10.3390/rs16173329
2960. Use of multiple reference data sources to cross-validate gridded snow water equivalent products over North America C. Mortimer et al. https://doi.org/10.5194/tc-18-5619-2024
2961. Heat exposure and the risk of emergency hospitalization in Germany: Stratified analyses by age, sex, and diagnostic group H. Kriit et al. https://doi.org/10.3238/arztebl.m2025.0186
2962. GRDC-Caravan: extending Caravan with data from the Global Runoff Data Centre C. Färber et al. https://doi.org/10.5194/essd-17-4613-2025
2963. Machine Learning-Based Approach Using Open Data to Estimate PM2.5 over Europe S. Ibrahim et al. https://doi.org/10.3390/rs14143392
2964. Evolution of global snow drought characteristics from 1850 to 2100 M. Cowherd et al. https://doi.org/10.1088/1748-9326/acd804
2965. Performance Evaluation of Multi-Typed Precipitation Products for Agricultural Research in the Amur River Basin over the Sino–Russian Border Region Y. Zhou et al. https://doi.org/10.3390/rs15102577
2966. Runoff evaluation in an Earth System Land Model for permafrost regions in Alaska X. Huang et al. https://doi.org/10.5194/gmd-19-1193-2026
2967. Foliar litter cover enhances surface warming in global forest ecosystems C. Fu et al. https://doi.org/10.1016/j.agrformet.2026.111120
2968. Deep learning modeling of human activity affected wildfire risk by incorporating structural features: A case study in eastern China Z. He et al. https://doi.org/10.1016/j.ecolind.2024.111946
2969. An examination of Texas relative extreme heatwave events during summer 2023 J. Gilliland & P. Looper https://doi.org/10.1088/2752-5295/ae5419
2970. A retrieval method for land surface temperatures based on UAV broadband thermal infrared images via the three-dimensional look-up table X. Zhong et al. https://doi.org/10.1016/j.buildenv.2022.109793
2971. Uneven hydroclimatic risk and land access constraints challenge refugee agricultural self-reliance in Uganda E. Negash et al. https://doi.org/10.1016/j.jafr.2026.102942
2972. Spatio-Temporal Trends and Climate Change Impacts on Land Cover Dynamics in Talassemtane National Park (Morocco) Using Artificial Intelligence and Google Earth Engine S. Laaribya & A. Alaoui https://doi.org/10.1080/10549811.2025.2516072
2973. Spatiotemporal GRACE TWS downscaling using statistical and machine learning methods: Random Forest, area-to-area kriging, and hybrid methods F. Mikaeeli Ahamadabad et al. https://doi.org/10.1016/j.ejrh.2025.102885
2974. A comparative analysis of machine learning approaches to gap filling meteorological datasets B. Lalic et al. https://doi.org/10.1007/s12665-024-11982-8
2975. Assessing sustained high-heat multi-hazard events through earth observation and impact chain analysis in southeast UK E. Mills et al. https://doi.org/10.1016/j.isci.2026.115423
2976. Climate-driven land surface phenology advance is overestimated due to ignoring land cover changes Y. Pan et al. https://doi.org/10.1088/1748-9326/acca34
2977. The influence of permafrost and other environmental factors on stream thermal sensitivity across Yukon, Canada A. Szeitz & S. Carey https://doi.org/10.5194/hess-29-1083-2025
2978. Performance Assessment of Different Precipitation Databases (Gridded Analyses and Reanalyses) for the New Brazilian Agricultural Frontier: SEALBA E. Silva et al. https://doi.org/10.3390/w14091473
2979. Intensifying global heat threatens livability for younger and older adults L. Parsons et al. https://doi.org/10.1088/2752-5309/ae3c3a
2980. A 40-year remote sensing analysis of spatiotemporal temperature and rainfall patterns in Senegal C. Nakalembe et al. https://doi.org/10.3389/fclim.2025.1462626
2981. Assessing the changes of vegetation density, urbanization and surface urban heat islands in Prague using Landsat-8 spectral remote sensing indices F. Yilgan et al. https://doi.org/10.1016/j.asr.2026.04.091
2982. Radon hazard mapping: usability of environmental predictors including atmospheric radon and radon flux and knowledge transfer between regions (Belgium and Germany) S. Baumann et al. https://doi.org/10.1007/s12665-025-12126-2
2983. High-resolution climate data reveals increased risk of Pierce’s disease for grapevines worldwide À. Giménez-Romero et al. https://doi.org/10.1038/s41598-025-13994-1
2984. Downscaled ERA5 Land addresses agrometeorological data scarcity in North African basins Y. Ouassanouan et al. https://doi.org/10.1038/s41598-025-20552-2
2985. An Inference Method of Influence Parameters for a Physical Calculation Model of Photovoltaic Power Generation J. Ku et al. https://doi.org/10.7836/kses.2022.42.6.075
2986. Impact of flash droughts on cereal crops under Mediterranean conditions P. Benito-Verdugo et al. https://doi.org/10.5424/sjar/2025234-21655
2987. Effects of smoke haze on respiratory clinic visits in Central Kalimantan, Indonesia according to different haze characteristics V. Phung et al. https://doi.org/10.1093/ije/dyaf169
2988. Accuracy assessment of temperature trends from ERA5 and ERA5-Land M. Yilmaz https://doi.org/10.1016/j.scitotenv.2022.159182
2989. Comprehensive evaluation of multi-source reanalysis datasets for surface atmospheric parameters over the Greenland Ice Sheet Z. Chen et al. https://doi.org/10.1016/j.accre.2025.10.007
2990. Applicability of Reanalysis Data in Analyzing the Occurrence time of Extreme Temperature Events in China Z. Li et al. https://doi.org/10.1007/s13143-025-00413-8
2991. Comprehensive validation of seven root zone soil moisture products at 1153 ground sites across China J. Tian & Y. Zhang https://doi.org/10.1080/17538947.2023.2261902
2992. The impact of livestock farming on global fire regimes O. Perkins et al. https://doi.org/10.1088/1748-9326/adeff5
2993. Effect of the Mazar Tagh Mountains on Aeolian landforms in the western Taklamakan Desert, northwestern China Z. Hu et al. https://doi.org/10.1016/j.geomorph.2022.108464
2994. Factors influencing ambient particulate matter in Delhi, India: Insights from machine learning K. Patel et al. https://doi.org/10.1080/02786826.2023.2193237
2995. Global 0.1-Degree Monthly Mean Hourly Total Canopy Solar-Induced Chlorophyll Fluorescence Dataset Derived from Random Forest Y. Liu et al. https://doi.org/10.3390/rs17203429
2996. Effects of Climate Change on the Habitat Suitability and Distribution of Endemic Freshwater Fish Species in Semi-Arid Central Anatolian Ecoregion in Türkiye M. Korkmaz et al. https://doi.org/10.3390/w15081619
2997. A Two-Step Reconstruction Framework for Mapping Seamless All-Weather Daily Evapotranspiration Using Thermal Infrared Data G. Zhao et al. https://doi.org/10.1109/JSTARS.2024.3492033
2998. 人类活动对西北地区艾比湖长期及季节变化的影响 浩. 邓 et al. https://doi.org/10.1360/N072024-0044
2999. Runoff and sediment loads in the Tijuana River: Dam effects, extreme events, and change during urbanization T. Biggs et al. https://doi.org/10.1016/j.ejrh.2022.101162
3000. Identifying climate extremes in Southern Africa through advanced bias correction of climate projections L. Trentini et al. https://doi.org/10.1007/s42865-025-00097-y
3001. Improvement of human-induced wildfire occurrence modeling from a spatial variation of anthropogenic ignition factor in the CLM5 L. Cai et al. https://doi.org/10.1088/1748-9326/acf1b6
3002. Diffusion model-based probabilistic downscaling for 180-year East Asian climate reconstruction F. Ling et al. https://doi.org/10.1038/s41612-024-00679-1
3003. Changes and driving factors of compound droughts in China based on the soil-atmosphere compound drought index W. Zhang et al. https://doi.org/10.1016/j.ejrh.2026.103109
3004. Socio-hydrological lock-in; an emergent phenomenon in the face of anthropogenic drought P. Pouladi et al. https://doi.org/10.1016/j.jenvman.2024.123318
3005. Convection‐permitting dynamical downscaling of ERA5 for Europe and the Mediterranean basin L. Bernini et al. https://doi.org/10.1002/qj.5014
3006. Modeling the Surface Thermal Discomfort Index (STDI) in a Tropical Environments using Multi Sensors: A Case Study of East Kalimantan, The Future New Capital City of Indonesia P. Sofan et al. https://doi.org/10.1007/s12524-024-01919-w
3007. Spatial downscaling of daily precipitation using convolutional neural network-based model in complex mountainous terrain: Trentino and South Tyrol, Northern Italy S. Bhakare et al. https://doi.org/10.1016/j.ejrh.2025.102591
3008. From global data to local action: A participatory framework for national wind, solar, and hydropower atlases based on observations, climate projections and artificial intelligence M. Petitta et al. https://doi.org/10.1016/j.cliser.2026.100663
3009. Global predictions for the risk of establishment of Pierce’s disease of grapevines A. Giménez-Romero et al. https://doi.org/10.1038/s42003-022-04358-w
3010. Underestimated future flash drought risks in major grain-producing areas over China X. Zhang et al. https://doi.org/10.1016/j.jhydrol.2025.134531
3011. Tracking drought-flood abrupt alternations: Event identification, path analysis, and ecological impacts on vegetation X. Bai et al. https://doi.org/10.1016/j.jhydrol.2025.134858
3012. Dominance of human activities in reducing soil erosion on the Loess Plateau S. Shi et al. https://doi.org/10.1016/j.jhydrol.2025.133835
3013. An agro-meteorological hazard analysis for risk management in a Mediterranean area: a case study in Southern Italy (Campania Region) R. Alilla et al. https://doi.org/10.1007/s00704-024-04878-x
3014. Drivers and long-term variability of lake evaporation in East African Lakes M. Ambaye et al. https://doi.org/10.1016/j.ejrh.2026.103322
3015. Characterizing the 2022 Extreme Drought Event over the Poyang Lake Basin Using Multiple Satellite Remote Sensing Observations and In Situ Data S. Liu et al. https://doi.org/10.3390/rs15215125
3016. An Ensemble Forecast Wind Field Correction Model with Multiple Factors and Spatio-Temporal Features M. Chen et al. https://doi.org/10.3390/atmos14111650
3017. Spatial and Temporal Changes and Influencing Factors of Capital Cities in Five Provinces of the Underdeveloped Regions of Northwest China Y. Feng et al. https://doi.org/10.3390/ijgi13060215
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3022. Assessing the effect of climate change on spatiotemporal variations in reference evapotranspiration across Iraq A. Al-Hasani & S. Shahid https://doi.org/10.1007/s00704-024-05217-w
3023. Living on the edge – physiological tolerance to frost and drought explains range limits of 35 European tree species A. Baranger et al. https://doi.org/10.1111/ecog.07528
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3030. A Database of High-Resolution Meteorological Drought Comprehensive Index Across China for the 1951–2022 Period X. Zhou et al. https://doi.org/10.3390/data10110171
3031. Evaluation of flash drought under the impact of heat wave events in southwestern Germany M. Wang et al. https://doi.org/10.1016/j.scitotenv.2023.166815
3032. Ground validation of satellite-based precipitation estimates over poorly gauged catchment: the case of the Drâa basin in Central-East Morocco A. Khettouch et al. https://doi.org/10.1007/s42990-023-00108-0
3033. Forest loss intensifies meteorological drought in more than half of Earth’s climate zones X. Li et al. https://doi.org/10.1126/sciadv.adv7998
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3036. A Novel Approach to Assessing Carrying Capacity for Development by Combining Socio-Economic and Environmental Indicators: A Case Study in Greece M. Kofidou et al. https://doi.org/10.3390/land13070987
3037. Drivers and Environmental Impacts of Vegetation Greening in a Semi-Arid Region of Northwest China since 2000 Z. Wu et al. https://doi.org/10.3390/rs13214246
3038. Lavender as a Catalyst for Rural Development: Identifying Commercially Suitable Cultivation Sites Through Multi-Criteria Decision Analysis S. Selim et al. https://doi.org/10.3390/land15010130
3039. A seasonal estimate of the Kumkol Basin glacier mass balance by satellite laser altimeter data and ASTER GDEM L. Gu et al. https://doi.org/10.1016/j.ejrh.2025.102648
3040. Waning snowfields have transformed into hotspots of greening within the alpine zone P. Choler et al. https://doi.org/10.1038/s41558-024-02177-x
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3045. Attribution of the 2024 record-breaking precipitation event in Southern Denmark to human-induced climate change M. Newell et al. https://doi.org/10.1016/j.wace.2025.100848
3046. Soil Moisture Retrieval From Multipolarization SAR Data and Potential Hydrological Application Q. Shen et al. https://doi.org/10.1109/JSTARS.2023.3291238
3047. Mitigating Effect of the Sea on Temperatures Along Mediterranean Coastal Areas: The Case of the Vine Territory of the Matera DOP in Basilicata (Italy) P. Cirigliano et al. https://doi.org/10.3390/atmos15111295
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3049. Hydroclimatic Thresholds Shape the Long-term Persistence of Net Ecosystem Productivity in the Yellow River Basin (2001–2024) C. Ma et al. https://doi.org/10.1007/s41748-026-01177-5
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3051. Climate stressors modulate interannual olive yield at province level in Italy: A composite index approach to support crop management A. Di Paola et al. https://doi.org/10.1111/jac.12636
3052. Vegetation Responses to Climate Extremes Across China: Lagged Effects and Dominant Drivers Revealed by Long-Term kNDVI Observations F. Xu et al. https://doi.org/10.3390/atmos17030227
3053. Linkage between the Tibetan Plateau and Global Extreme Heat in 2023 X. Sun et al. https://doi.org/10.1016/j.atmosres.2026.108976
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3056. Seasonal and Interannual Variations in Hydrological Dynamics of the Amazon Basin: Insights from Geodetic Observations M. He et al. https://doi.org/10.3390/rs17152739
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3065. Invasive Fire Ants Potential Area of Distribution in the South-Eastern Balkans by 2050 V. Antonova & V. Biserkov https://doi.org/10.71424/azb77.2.002826
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3069. Estimating Near-Surface Air Temperature From Satellite-Derived Land Surface Temperature Using Temporal Deep Learning: A Comparative Analysis J. Lee https://doi.org/10.1109/ACCESS.2025.3539581
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3089. The optimal wind speed product selection for wind energy assessment under multi-factor constraints X. Li et al. https://doi.org/10.1016/j.clet.2025.100883
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3095. Present and future interannual variability in wildfire occurrence: a large ensemble application to the United States T. Keeping et al. https://doi.org/10.3389/ffgc.2025.1519836
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3097. Unraveling three-decade dynamics and drivers of thermokarst lakes on the Tibetan Plateau G. Yang et al. https://doi.org/10.1016/j.jag.2025.105022
3098. Precipitation Extremes and Their Links with Regional and Local Temperatures: A Case Study over the Ottawa River Basin, Canada A. Llerena et al. https://doi.org/10.3390/atmos14071130
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3102. Dual effects on vegetation caused by urban expansion in global drylands: Insights from the enhanced vegetation disturbance index T. Qi et al. https://doi.org/10.1016/j.resconrec.2025.108438
3103. Beyond meteorological data: Modelling tree growth with ERA5-Land M. Schönauer et al. https://doi.org/10.1016/j.agrformet.2025.110679
3104. Sub-seasonal soil moisture anomaly forecasting using combinations of deep learning, based on the reanalysis soil moisture records X. Wang et al. https://doi.org/10.1016/j.agwat.2024.108772
3105. How does the mixing assumption influence the distributed tracer-aided hydrological model? Y. Nan et al. https://doi.org/10.1016/j.jhydrol.2025.132839
3106. Shading inequality and mean radiant temperature exposure in high-density tropical and subtropical urban areas: A Delhi–Singapore comparison Y. Rui et al. https://doi.org/10.1016/j.buildenv.2026.114808
3107. Evaluation of the Accuracy and Applicability of Reanalysis Precipitation Products in the Lower Yarlung Zangbo Basin A. Tan et al. https://doi.org/10.3390/rs17142396
3108. Comparison of high-resolution climate reanalysis datasets for hydro-climatic impact studies R. Wood et al. https://doi.org/10.5194/hess-29-4153-2025
3109. Understanding the spatial variation in lithium concentration of high Andean Salars using diagnostic factors J. Al-Jawad et al. https://doi.org/10.1016/j.scitotenv.2023.167647
3110. Large increases in maize residue carbon inputs in the US Corn Belt from 1980 to 2020 A. Ruiz et al. https://doi.org/10.1038/s43247-025-03078-3
3111. Retrieving hourly seamless PM2.5 concentration across China with physically informed spatiotemporal connection Y. Ding et al. https://doi.org/10.1016/j.rse.2023.113901
3112. Integrated Spatio-Temporal Drought Vulnerability and Risk Assessment in Iran P. Rastgoo et al. https://doi.org/10.3390/w18030315
3113. Increasing Intensity of Extreme Heatwaves: The Crucial Role of Metrics E. Russo & D. Domeisen https://doi.org/10.1029/2023GL103540
3114. Machine Learning-Enhanced River Ice Identification in the Complex Tibetan Plateau X. Pang et al. https://doi.org/10.3390/rs17111889
3115. ERA5-land–based drought assessment using SPI and SPEI to support smart agriculture in Prince Edward Island, Canada R. Malekian et al. https://doi.org/10.1016/j.atech.2026.102077
3116. A physically-refined regional climate model for the Tibetan Plateau K. Yang et al. https://doi.org/10.1016/j.scib.2025.10.035
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3118. Assessment of Three Machine Learning Techniques with Open-Access Geographic Data for Forest Fire Susceptibility Monitoring—Evidence from Southern Ecuador F. Reyes-Bueno & J. Loján-Córdova https://doi.org/10.3390/f13030474
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3121. Asynchronous changes in precipitation and soil water content decelerate vegetation greening on the Qinghai-Tibetan Plateau L. Qi et al. https://doi.org/10.1016/j.jenvman.2025.126847
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3123. Evaluating Meteorological Drought and its Impacts on Vegetation Cover and Surface Water in the Headwater of Little Zab River Basin O. Al-Kakey et al. https://doi.org/10.5965/223811712342024739
3124. Delayed formation of Arctic snow cover in response to wildland fires in a warming climate Y. Qing et al. https://doi.org/10.1038/s41558-025-02443-6
3125. Geospatial assessment of rooftop solar photovoltaic potential using multi-source remote sensing data H. Jiang et al. https://doi.org/10.1016/j.egyai.2022.100185
3126. Performance evaluation of Sentinel-2 imagery, agronomic and climatic data for sugarcane yield estimation R. Amaro et al. https://doi.org/10.1016/j.compag.2025.110522
3127. Predictive modeling of soil pathogenic microorganisms in diseased plants: A comparative machine learning approach M. Benbernou et al. https://doi.org/10.1016/j.rhisph.2026.101282
3128. Prediction of Gross Primary Productivity Change in Central Asia Under Climate Change Using Deep Learning W. Shao et al. https://doi.org/10.1109/JSTARS.2025.3556678
3129. Long-Term Exposure to Ambient Air Pollution and Prevalence of Infertility S. Wang et al. https://doi.org/10.1021/acs.est.5c14998
3130. Integration of Managed Aquifer Recharge into the Water Supply System in the Algarve Region, Portugal K. Standen et al. https://doi.org/10.3390/w15122286
3131. Climatic and Fuel Drivers of Lightning-Induced Forest Fire Burned Area in the Da Hinggan Ling Region, Northeast China L. Lou et al. https://doi.org/10.3390/rs18040657
3132. Assessing the groundwater recharge of a steep-sided catchment from thermal-derived evapotranspiration estimates: Usefulness of methods for correcting topographical effects B. Sebbar et al. https://doi.org/10.1016/j.jhydrol.2025.134457
3133. Deep Diving into the “Post 1.5 °C Climate” Heatwave Events in Ouagadougou During Spring 2024 W. Noba et al. https://doi.org/10.3390/cli14010005
3134. Continental scale spatial temporal interpolation of near-surface air temperature: do 1 km hourly grids for Australia outperform regional and global reanalysis outputs? S. Stewart et al. https://doi.org/10.1007/s00382-024-07340-w
3135. Harmonised procedure to update thermal loads in the Eurocodes. Case study for Italy G. Rianna et al. https://doi.org/10.1016/j.cliser.2023.100391
3136. The New IGRICE Model as a Tool for Studying the Mechanisms of Glacier Retreat P. Toropov et al. https://doi.org/10.3390/cli13120248
3137. AI-based Deep Soil Moisture Prediction to Assess Past and Future Consistency of NOAA Data G. Montilla et al. https://doi.org/10.47280/RevFacAgron(LUZ).v42.n4.IVX
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3139. HydroGRAF: Hybrid discharge reconstruction and basin-aware streamflow forecasting in the Himalayas A. Gul et al. https://doi.org/10.1016/j.jhydrol.2026.135479
3140. Modeling and Mapping the Climatic Suitability for Viticulture in Greece N. Kotsidis et al. https://doi.org/10.3390/atmos17020190
3141. High-frequency monitoring enables machine learning–based forecasting of acute child malnutrition for early warning S. Constenla-Villoslada et al. https://doi.org/10.1073/pnas.2416161122
3142. MA-UQNet: A multi-modal uncertainty quantification neural network for remote sensing-based wheat aboveground biomass estimation Q. Wu et al. https://doi.org/10.1016/j.aiia.2026.03.007
3143. Cloud-based assessment of aerosol dynamics and population exposure in Southeast Asia using MERRA-2 and AERONET integration Z. Zheng et al. https://doi.org/10.1016/j.atmosenv.2026.121848
3144. Climate change has increased global evaporative demand except in South Asia S. Karimzadeh et al. https://doi.org/10.1038/s43247-025-02959-x
3145. Hydrologically driven coordination of transboundary floods C. Cheng et al. https://doi.org/10.1016/j.jhydrol.2026.135159
3146. Understanding the spatial distribution patterns and dominant determinants of farmland abandonment in China H. Song et al. https://doi.org/10.1016/j.habitatint.2025.103298
3147. Spatial and temporal variation of vegetation NPP and analysis of influencing factors in Heilongjiang Province, China Z. Xi et al. https://doi.org/10.1016/j.ecolind.2023.110798
3148. U-Net framework for short-term wildfire spread forecasting using multi-source earth observation data in Thailand S. Sillaparat et al. https://doi.org/10.1016/j.geomat.2026.100106
3149. Vegetation height estimation based on machine learning model driven by multi-source data in Eurasian temperate grassland W. Wang et al. https://doi.org/10.1016/j.ecolind.2024.113013
3150. Evaluation of Long Time-Series Soil Moisture Products Using Extended Triple Collocation and In Situ Measurements in China L. Zhang et al. https://doi.org/10.3390/atmos14091351
3151. Upland Hillslope Groundwater Subsidy Affects Low‐Flow Storage–Discharge Relationship H. Li & A. Ameli https://doi.org/10.1029/2022WR034155
3152. OpenBench: a land model evaluation system Z. Wei et al. https://doi.org/10.5194/gmd-18-6517-2025
3153. From raw to reliable: machine learning bias correction of reanalysis data for improved drought severity classification P. Pandya et al. https://doi.org/10.1016/j.jhydrol.2025.134892
3154. Doğu Anadolu Bölgesi’nde Kar Kalınlığının Co-kriging Yöntemiyle Mekânsal Modellemesi: Bitlis, Van ve Hakkâri Örneği Ö. Güner & O. Aydın https://doi.org/10.29128/geomatik.1783742
3155. Responses of Terrestrial GPP to Extreme Compound Heatwave and Drought Events of Different Intensities in the Yangtze River Basin J. Zhu et al. https://doi.org/10.3390/rs17050848
3156. Influence of the El Niño-Southern Oscillation on Botrytis infection risk in Florida V. Cerbaro et al. https://doi.org/10.1016/j.agrformet.2025.110917
3157. Remote sensing monitoring of glacier area and volume changes in glacier-fed mountainous watershed on the Northern margin of the Qinghai-Tibet Plateau under climate change C. Fang et al. https://doi.org/10.1007/s10661-024-13130-y
3158. Interannual variability of the South American low-level jet frequency and its impact on southeastern South America precipitation S. Adduca et al. https://doi.org/10.1016/j.atmosres.2025.108331
3159. Exploring the potential of deep learning for streamflow forecasting: A comparative study with hydrological models for seasonal and perennial rivers A. Izadi et al. https://doi.org/10.1016/j.eswa.2024.124139
3160. Snow Resources and Climatic Variability in Jammu and Kashmir, India A. Bhat et al. https://doi.org/10.3390/cli13020028
3161. Past and Future Responses of Soil Water to Climate Change in Tropical and Subtropical Rainforest Systems in South America S. Arévalo et al. https://doi.org/10.3390/atmos14040755
3162. Impact of the Russian invasion on wheat biomass in Ukraine V. Antonenko et al. https://doi.org/10.1088/1748-9326/ad8363
3163. Spatial–Temporal Evapotranspiration Dynamics in the Al-Ahsa Oasis Based on a Remote Sensing Approach for Sustainable Water Management M. Elhag et al. https://doi.org/10.3390/hydrology13050138
3164. An elevation-dependent downscaling framework for reconstructing high-resolution daily air temperature over China from 1961 to 2024 A. Du et al. https://doi.org/10.1016/j.atmosres.2026.109068
3165. Hourly values of an advanced human-biometeorological index for diverse populations from 1991 to 2020 in Greece C. Giannaros et al. https://doi.org/10.1038/s41597-024-02923-y
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