338 citations as recorded by crossref.

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6. Potential Impact of Future Climates on Rice Production in Ecuador Determined Using Kobayashi’s ‘Very Simple Model’ D. Portalanza et al. https://doi.org/10.3390/agriculture12111828
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9. CHELSA-W5E5: daily 1 km meteorological forcing data for climate impact studies D. Karger et al. https://doi.org/10.5194/essd-15-2445-2023
10. Continuous meteorological surface and soil records (2004–2024) at the Met Office surface site of Cardington, UK S. Osborne et al. https://doi.org/10.5194/essd-18-1575-2026
11. Challenges in Hydrologic‐Land Surface Modeling of Permafrost Signatures—A Canadian Perspective M. Abdelhamed et al. https://doi.org/10.1029/2022MS003013
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13. Shifted discharge and drier soils: Hydrological projections for a Central Asian catchment T. Schaffhauser et al. https://doi.org/10.1016/j.ejrh.2023.101338
14. An FAO model comparison: Python Agroecological Zoning (PyAEZ) and AquaCrop to assess climate change impacts on crop yields in Nepal J. Alvar-Beltrán et al. https://doi.org/10.1016/j.envdev.2023.100882
15. Downscaling, bias correction, and spatial adjustment of extreme tropical cyclone rainfall in ERA5 using deep learning G. Ascenso et al. https://doi.org/10.1016/j.wace.2024.100724
16. Spatial runoff response to climate change in the Yarlung Zangbo-Brahmaputra River basin J. Wang & J. Zhao https://doi.org/10.1007/s11431-024-2851-7
17. Evaluation of ERA5 and WFDE5 forcing data for hydrological modelling and the impact of bias correction with regional climatologies: A case study in the Danube River Basin E. Probst & W. Mauser https://doi.org/10.1016/j.ejrh.2022.101023
18. Diagnostic evaluation of river discharge into the Arctic Ocean and its impact on oceanic volume transports S. Winkelbauer et al. https://doi.org/10.5194/hess-26-279-2022
19. Improving flood and drought management in transboundary Upper Jhelum Basin-South Asia R. Ansari et al. https://doi.org/10.1016/j.scitotenv.2024.174044
20. Weather- and climate-driven power supply and demand time series for power and energy system analyses E. Antonini et al. https://doi.org/10.1038/s41597-024-04129-8
21. Modeling the Dynamics of the Characteristics of Snow Cover Formation Regime on the Territory of the Russian Federation. 4. Scenario Projecting of Changes in Snow Cover Characteristics in the 21st Century E. Gusev et al. https://doi.org/10.1134/S0097807825700150
22. Leveraging reforecasts for flood estimation with long continuous simulation: a proof-of-concept study D. Viviroli et al. https://doi.org/10.5194/nhess-26-1835-2026
23. Spatial Heterogeneity in Temperature Elasticity of Agricultural Economic Production in Xinjiang Province, China S. Liu et al. https://doi.org/10.3390/su17177724
24. DynQual v1.0: a high-resolution global surface water quality model E. Jones et al. https://doi.org/10.5194/gmd-16-4481-2023
25. Future Changes in Precipitation Extremes Over Iran: Insight from a CMIP6 Bias-Corrected Multi-Model Ensemble A. Zarrin et al. https://doi.org/10.1007/s00024-021-02904-x
26. A global analysis of diurnal variability in dust and dust mixture using CATS observations Y. Yu et al. https://doi.org/10.5194/acp-21-1427-2021
27. The Impact of Climate Forcing Biases and the Nitrogen Cycle on Land Carbon Balance Projections C. Seiler et al. https://doi.org/10.1029/2023MS003749
28. Identifying compound weather drivers of forest biomass loss with generative deep learning M. Anand et al. https://doi.org/10.1017/eds.2024.2
29. Can the cropping systems of the Nile basin be adapted to climate change? A. Nkwasa et al. https://doi.org/10.1007/s10113-022-02008-9
30. Uncertainty in land-use adaptation persists despite crop model projections showing lower impacts under high warming E. Molina Bacca et al. https://doi.org/10.1038/s43247-023-00941-z
31. Statistical downscaling differences strongly alter projected climate damages S. Miller et al. https://doi.org/10.1038/s43247-025-02134-2
32. Extreme weather and cascading photovoltaic power vulnerabilities under climate change P. Adigun et al. https://doi.org/10.1016/j.seta.2025.104776
33. U-Surf: a global 1 km spatially continuous urban surface property dataset for kilometer-scale urban-resolving Earth system modeling Y. Cheng et al. https://doi.org/10.5194/essd-17-2147-2025
34. Copula-based multivariate standardized drought index (MSDI) and length, severity, and frequency of hydrological drought in the Upper Sakarya Basin, Turkey T. Varol et al. https://doi.org/10.1007/s11069-023-05830-4
35. Tracing ice loss from the Late Holocene to the future in eastern Nuussuaq, central western Greenland J. Bonsoms et al. https://doi.org/10.5194/tc-19-1973-2025
36. A fast high resolution distributed hydrological model for forecasting, climate scenarios and digital twin applications using wflow_sbm R. Imhoff et al. https://doi.org/10.1016/j.envsoft.2024.106099
37. Future climate projections for South Aegean and Salzburg region based on statistical and dynamical downscaling - similarities and discrepancies M. Bügelmayer-Blaschek et al. https://doi.org/10.1088/2515-7620/addc3f
38. ELM2.1-XGBfire1.0: improving wildfire prediction by integrating a machine learning fire model in a land surface model Y. Liu et al. https://doi.org/10.5194/gmd-18-4103-2025
39. Wildfires on a changing planet O. Haas et al. https://doi.org/10.1038/s41467-025-68176-4
40. Accuracy Evaluation of Multiple Runoff Products: A Case Study of the Middle Reaches of the Yellow River H. Cui & C. Huang https://doi.org/10.3390/w17030461
41. Can Turbidity Data from Remote Sensing Explain Modelled Spatial and Temporal Sediment Loading Patterns? An Application in the Lake Tana Basin A. Nkwasa et al. https://doi.org/10.1007/s10666-024-09972-y
42. A spatiotemporal atlas of hydropower in Africa for energy modelling purposes S. Sterl et al. https://doi.org/10.12688/openreseurope.13392.3
43. Increased water availability and high flows in an ungauged Kenyan catchment: A comprehensive SWAT+ model evaluation for climate change assessment P. Sarmiento et al. https://doi.org/10.1016/j.ejrh.2025.102497
44. Climate change perceptions, expectations, observations, and projections at Lake Victoria S. Liersch et al. https://doi.org/10.1088/2515-7620/ad9434
45. Global Methane Budget 2000–2020 M. Saunois et al. https://doi.org/10.5194/essd-17-1873-2025
46. Past and future climate change effects on the thermal regime and oxygen solubility of four peri-alpine lakes O. Desgué-Itier et al. https://doi.org/10.5194/hess-27-837-2023
47. Human-induced climate change has decreased wheat production in northern Kazakhstan P. Romanovska et al. https://doi.org/10.1088/2752-5295/ad53f7
48. Zambezi River Basin aquifer systems: Opportunities and challenges in using freely available data sources and groundwater flow modelling for spatial exploratory analysis K. Banda et al. https://doi.org/10.1016/j.gsd.2025.101421
49. Robust increase of Indian monsoon rainfall and its variability under future warming in CMIP6 models A. Katzenberger et al. https://doi.org/10.5194/esd-12-367-2021
50. Spatial and temporal expansion of global wildland fire activity in response to climate change M. Senande-Rivera et al. https://doi.org/10.1038/s41467-022-28835-2
51. Thermal acclimation of stem respiration implies a weaker carbon-climate feedback H. Zhang et al. https://doi.org/10.1126/science.adr9978
52. The trend and spatial spread of multisectoral climate extremes in CMIP6 models O. Adeyeri et al. https://doi.org/10.1038/s41598-022-25265-4
53. Irrigation by Crop in the Continental United States From 2008 to 2020 P. Ruess et al. https://doi.org/10.1029/2022WR032804
54. Anticipating Climate Change Across the United States A. Bilal & E. Rossi-Hansberg https://doi.org/10.2139/ssrn.4475921
55. A hybrid reanalysis-forecast meteorological forcing data for advancing climate adaptation in agriculture T. Iizumi et al. https://doi.org/10.1038/s41597-024-03702-5
56. Scenario setup and forcing data for impact model evaluation and impact attribution within the third round of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3a) K. Frieler et al. https://doi.org/10.5194/gmd-17-1-2024
57. Integration of the Global Water and Lake Sectors within the ISIMIP framework through scaling of streamflow inputs to lakes A. Ayala et al. https://doi.org/10.5194/gmd-19-41-2026
58. Drought characteristics in Mediterranean under future climate change Y. Essa et al. https://doi.org/10.1038/s41612-023-00458-4
59. Rice availability and stability in Africa under future socio-economic development and climatic change K. De Vos et al. https://doi.org/10.1038/s43016-023-00770-5
60. Observational and model evidence together support wide-spread exposure to noncompensable heat under continued global warming C. Powis et al. https://doi.org/10.1126/sciadv.adg9297
61. Low-cost adaptation options to support green growth in agriculture, water resources, and coastal zones S. Salack et al. https://doi.org/10.1038/s41598-022-22331-9
62. 17O-excess of grass leaf phytoliths across the North American prairies records late-growing season daytime relative humidity M. Guo et al. https://doi.org/10.1016/j.chemgeo.2024.122484
63. Risks of synchronized low yields are underestimated in climate and crop model projections K. Kornhuber et al. https://doi.org/10.1038/s41467-023-38906-7
64. Future water availability and crop yields in Kenya’s Sand River Basin enhanced by elevated CO2 under climate change P. Sarmiento et al. https://doi.org/10.1016/j.ejrh.2025.103029
65. Rainfall Erosivity in Peru: A New Gridded Dataset Based on GPM-IMERG and Comprehensive Assessment (2000–2020) L. Gutierrez et al. https://doi.org/10.3390/rs15225432
66. Total irrigation by crop in the Continental United States from 2008 to 2020 P. Ruess et al. https://doi.org/10.1038/s41597-024-03244-w
67. Coupling a dynamic epidemiological model into a process-based crop model to simulate climate change effects on soybean target spot disease in Brazil G. Luca et al. https://doi.org/10.1016/j.eja.2024.127361
68. Limits to management adaptation for the Indus’ irrigated agriculture B. Droppers et al. https://doi.org/10.1016/j.agrformet.2022.108971
69. Modeling the Impact of Climate Change on Streamflow in the Meghna River Basin: An Analysis Using SWAT and CMIP6 Scenarios W. Mamoon et al. https://doi.org/10.3390/w16081117
70. Avoidable heat risk under scenarios of carbon neutrality by mid-century J. Zhang & Q. You https://doi.org/10.1016/j.scitotenv.2023.164679
71. The response of wildfire regimes to Last Glacial Maximum carbon dioxide and climate O. Haas et al. https://doi.org/10.5194/bg-20-3981-2023
72. Natural and anthropogenic forces on suspended sediment dynamics in Asian estuaries A. Yunus et al. https://doi.org/10.1016/j.scitotenv.2022.155569
73. A CNN-Based Downscaling Model for Macau Temperature Prediction Using ERA5 Reanalysis Data N. Pang et al. https://doi.org/10.3390/app15105321
74. Modeling Indian Ocean circulation to study marine debris dispersion: insights into high-resolution and wave forcing effects with Symphonie 3.6.6 L. Weiss et al. https://doi.org/10.5194/gmd-19-827-2026
75. Ensemble estimates of global wetland methane emissions over 2000–2020 Z. Zhang et al. https://doi.org/10.5194/bg-22-305-2025
76. Unpacking dasymetric modelling to correct spatial bias in environmental model outputs M. Kallio et al. https://doi.org/10.1016/j.envsoft.2022.105511
77. Climate change would largely offset labor capacity increment fueled by China’s two-child policy Y. Ban et al. https://doi.org/10.1016/j.accre.2025.05.002
78. Projections of indices of daily temperature and precipitation based on bias-adjusted CORDEX-Africa regional climate model simulations A. Dosio et al. https://doi.org/10.1007/s10584-022-03307-0
79. A hydrological model to assess current and future freshwater availability: application to climate change impacts on hydrology in the Amazon River Basin through mid-century S. Santos da Silva et al. https://doi.org/10.1016/j.jhydrol.2025.134473
80. Projection of future extreme precipitation in Iran based on CMIP6 multi-model ensemble A. Zarrin & A. Dadashi-Roudbari https://doi.org/10.1007/s00704-021-03568-2
81. Evaluation of precipitation reanalysis products for regional hydrological modelling in the Yellow River Basin C. Jiang et al. https://doi.org/10.1007/s00704-023-04758-w
82. Projected changes in near-surface wind speed in the Arctic by a regional climate model M. Akperov et al. https://doi.org/10.1016/j.polar.2024.101162
83. Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa M. Dembélé et al. https://doi.org/10.5194/hess-24-5379-2020
84. Historical and Projected Cropland Impacts of Heatwaves in Central Asia Under Climate Change T. Li et al. https://doi.org/10.1029/2024EF005595
85. An innovative hydrological model for the sparsely-gauged Essequibo River basin, northern Amazonia D. Hughes et al. https://doi.org/10.1080/15715124.2023.2278678
86. Spatiotemporal dynamics of the water footprint and virtual water trade in global cotton production and trade B. Demeke et al. https://doi.org/10.1016/j.clpl.2024.100074
87. Net irrigation requirement under different climate scenarios using AquaCrop over Europe L. Busschaert et al. https://doi.org/10.5194/hess-26-3731-2022
88. Learning from a large-scale calibration effort of multiple lake temperature models J. Feldbauer et al. https://doi.org/10.5194/hess-29-1183-2025
89. Multi-Scale Evaluation of ERA5 Air Temperature and Precipitation Data over the Poyang Lake Basin of China X. Yan et al. https://doi.org/10.3390/w16213123
90. Mapping climate vulnerability to support climate adaptation in maize farming systems in Kenya S. Achola et al. https://doi.org/10.1007/s12571-025-01627-4
91. From Concept to Practice: Implementing a Knowledge-Driven Decision Support Platform for Sustainable Viticulture in Montenegro T. Racković et al. https://doi.org/10.3390/s26092843
92. Spatial patterns of atmospheric vapour transport and their connection to drought in New Zealand M. Bennet & D. Kingston https://doi.org/10.1002/joc.7554
93. Biological nitrogen fixation of natural and agricultural vegetation simulated with LPJmL 5.7.9 S. Wirth et al. https://doi.org/10.5194/gmd-17-7889-2024
94. Will the 2022 compound heatwave–drought extreme over the Yangtze River Basin become Grey Rhino in the future? A. Feng et al. https://doi.org/10.1016/j.accre.2024.05.004
95. Evaluation of bias correction methods for a multivariate drought index: case study of the Upper Jhelum Basin R. Ansari et al. https://doi.org/10.5194/gmd-16-2055-2023
96. An hourly climate projection and renewable energy generation dataset for power system modeling in China R. Chen et al. https://doi.org/10.1038/s41597-025-06396-5
97. Assessing the impact of AI-based meteorological postprocessing on seasonal hydrological forecasting skill in Mediterranean semi-arid basins D. De León Pérez et al. https://doi.org/10.1016/j.ejrh.2026.103535
98. Ensemble modeling of the climate-energy nexus for renewable energy generation across multiple US states J. Adul et al. https://doi.org/10.1088/2634-4505/adad12
99. Historical climate impact attribution of changes in river flow and sediment loads at selected gauging stations in the Nile basin A. Nkwasa et al. https://doi.org/10.1007/s10584-024-03702-9
100. MDG625: a daily high-resolution meteorological dataset derived by a geopotential-guided attention network in Asia (1940–2023) Z. Song et al. https://doi.org/10.5194/essd-17-1501-2025
101. The influence of the environment and indoor residual spraying on malaria risk in a cohort of children in Uganda M. Sadoine et al. https://doi.org/10.1038/s41598-022-15654-0
102. Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5 B. Hassler & A. Lauer https://doi.org/10.3390/atmos12111462
103. A three-quantile bias correction with spatial transfer for the correction of simulated European river runoff to force ocean models S. Hagemann et al. https://doi.org/10.5194/os-20-1457-2024
104. Temperature thresholds of extreme heat-induced yield loss in maize and soybean reveal geographic heterogeneity across the Northern Hemisphere Q. Zhao et al. https://doi.org/10.1038/s43016-026-01298-0
105. Global hotspots in soil moisture-based drought trends J. Řehoř et al. https://doi.org/10.1088/1748-9326/ad0f01
106. The Use of Remote Sensing-Based ET Estimates to Improve Global Hydrological Simulations in the Community Land Model Version 5.0 D. Wang et al. https://doi.org/10.3390/rs13214460
107. Evaluation of Wind Field for ERA5 Reanalysis Data in Offshore East China Sea Y. Yuan et al. https://doi.org/10.3390/atmos17030310
108. The heat stress during anthesis and the grain‐filling period of spring maize in Northeast China is projected to increase toward the mid‐21st century S. Qiao et al. https://doi.org/10.1002/jsfa.12844
109. Estimating the Global Influence of Cover Crops on Ecosystem Service Indicators in Croplands With the LPJ‐GUESS Model J. Ma et al. https://doi.org/10.1029/2022EF003142
110. 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
111. Excitation of polar motion by terrestrial water storage: a reappraisal using the WaterGAP hydrological model M. Kiani Shahvandi et al. https://doi.org/10.1007/s00190-026-02060-x
112. Assessing the impacts of agricultural managements on soil carbon stocks, nitrogen loss, and crop production – a modelling study in eastern Africa J. Ma et al. https://doi.org/10.5194/bg-19-2145-2022
113. Reclaiming abandoned croplands to adapt wheat production to a warmer world L. He et al. https://doi.org/10.1038/s43247-026-03386-2
114. Projection of China’s future runoff based on the CMIP6 mid-high warming scenarios J. Zhou et al. https://doi.org/10.1007/s11430-022-1055-5
115. A new methodology for probabilistic flood displacement risk assessment: the case of Fiji and Vanuatu L. Rossi et al. https://doi.org/10.3389/fclim.2024.1345258
116. Performance evaluation of CMIP6 global climate models using ERA5 over Indian Monsoon Region A. Sreekumar & P. Valayamkunnath https://doi.org/10.1007/s00382-025-07895-2
117. Heat Stress Metrics for US Census Tracts 1998–2020 R. Rahai et al. https://doi.org/10.1038/s41597-026-06909-w
118. Global daily 1 km land surface precipitation based on cloud cover-informed downscaling D. Karger et al. https://doi.org/10.1038/s41597-021-01084-6
119. Assessing the effectiveness of convective boundary layer height estimation using flight data and ERA5 profiles in the Amazon biome R. Carneiro et al. https://doi.org/10.1007/s00382-025-07609-8
120. Straw mulching enhances rainfed maize yield under climate change scenarios A. Zizinga et al. https://doi.org/10.1016/j.eja.2025.127827
121. Toward hyper-resolution global hydrological models including human activities: application to Kyushu island, Japan N. Hanasaki et al. https://doi.org/10.5194/hess-26-1953-2022
122. Improved wind power assessments by bias adjusted reanalysed data with applications near Morocco’s coast Y. Zekeik et al. https://doi.org/10.1038/s41598-024-77765-0
123. Significant Global Yield-Gap Closing Is Possible Without Increasing the Intensity of Environmentally Harmful Nitrogen Losses A. Smerald et al. https://doi.org/10.3389/fsufs.2022.736394
124. Global assessment of drought characteristics in the Anthropocene C. Ndehedehe et al. https://doi.org/10.1016/j.resenv.2022.100105
125. Heterogeneous effects of climate change on displacement-inducing disasters R. Beyer et al. https://doi.org/10.3389/fclim.2024.1260028
126. An Assessment of Extreme Precipitation Trends in the Missouri River Basin: Insights From Three Gridded Precipitation Data Sets and Climate Indices C. Gupta et al. https://doi.org/10.1002/joc.70163
127. Effect of future climate change and salinity intrusion on major dry season crop production in the south-central coastal area of Bangladesh M. Bhuyan et al. https://doi.org/10.1016/j.eja.2026.128126
128. Global Gridded Climate-Responsive Crop Selection: Sowing Dates and Crop Varieties in a Warming World S. Chevuru et al. https://doi.org/10.1038/s41597-026-07164-9
129. Increased erosion in a pre-Alpine region contrasts with a future decrease in precipitation and snowmelt T. Cache et al. https://doi.org/10.1016/j.geomorph.2023.108782
130. Modelling the role of livestock grazing in C and N cycling in grasslands with LPJmL5.0-grazing J. Heinke et al. https://doi.org/10.5194/gmd-16-2455-2023
131. Assessing the efficacy of simplified temperature-based PET models in replicating penman–monteith drought frequency D. Awhari et al. https://doi.org/10.1007/s00704-025-05498-9
132. Understanding each other's models: an introduction and a standard representation of 16 global water models to support intercomparison, improvement, and communication C. Telteu et al. https://doi.org/10.5194/gmd-14-3843-2021
133. Comprehensive analysis of marine heatwaves and ocean thermal structure impact on typhoon intensification in the East China Sea T. Nguyen & P. Hsu https://doi.org/10.1016/j.jmarsys.2025.104065
134. Delivering the latest global water resource simulation results to the public J. Boulange et al. https://doi.org/10.1016/j.cliser.2023.100386
135. Assessment of Glacier Transformation in China over the Past 40 Years Using a China-Specific Glacier Classification System T. Li et al. https://doi.org/10.3390/rs17132289
136. The global water resources and use model WaterGAP v2.2d: model description and evaluation H. Müller Schmied et al. https://doi.org/10.5194/gmd-14-1037-2021
137. Evaluation of wetland CH4 in the Joint UK Land Environment Simulator (JULES) land surface model using satellite observations R. Parker et al. https://doi.org/10.5194/bg-19-5779-2022
138. Climate stressors and rural incomes: multi-country evidence on wealth, gender, and age disparities N. Sitko et al. https://doi.org/10.1016/j.worlddev.2026.107333
139. Attribution of streamflow changes during 1961–2019 in the Upper Yangtze and the Upper Yellow River basins S. Wen et al. https://doi.org/10.1007/s10584-024-03712-7
140. Atmospheric health burden across the century and the accelerating impact of temperature compared to pollution A. Pozzer et al. https://doi.org/10.1038/s41467-024-53649-9
141. Excessive pumping limits the benefits of a strengthening summer monsoon for groundwater recovery in India S. Dangar & V. Mishra https://doi.org/10.1016/j.oneear.2023.03.005
142. Disentangling the contributions of anthropogenic climate change, greenhouse gases, and aerosols to heat-related mortality in Great Britain: a climate change impact attribution study K. Wan et al. https://doi.org/10.1016/S2542-5196(25)00050-6
143. Assessing temperature and water vapor in the atmospheric column over South America: a synopsis of identified trends using ERA5 reanalysis A. Bazzanela et al. https://doi.org/10.1016/j.jastp.2025.106514
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145. Using reanalysis precipitation data for developing intensity-duration-frequency curves in a poorly gauged city F. Wambura https://doi.org/10.1016/j.ejrh.2024.102005
146. Impact of topography and meteorological forcing on snow simulation in the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) L. Wang et al. https://doi.org/10.5194/gmd-18-6597-2025
147. Contribution of biophysical and climate variables to the spatial distribution of wildfires in Iran K. Shojaeizadeh et al. https://doi.org/10.1007/s11676-023-01638-x
148. Projections of future bioclimatic indicators using bias-corrected CMIP6 models: a case study in a tropical monsoon region M. Kamruzzaman et al. https://doi.org/10.1007/s11356-024-35487-w
149. Implementation and evaluation of a dynamic root water uptake scheme in the Beijing climate center atmosphere-vegetation interaction model L. Yang et al. https://doi.org/10.1007/s00382-025-07615-w
150. The benefits and trade-offs of multi-variable calibration of the WaterGAP global hydrological model (WGHM) in the Ganges and Brahmaputra basins H. Hasan et al. https://doi.org/10.5194/hess-29-567-2025
151. Comparison of ERA5 surface wind speed climatologies over Europe with observations from the HadISD dataset M. Molina et al. https://doi.org/10.1002/joc.7103
152. Coupling a large-scale glacier and hydrological model (OGGM v1.5.3 and CWatM V1.08) – towards an improved representation of mountain water resources in global assessments S. Hanus et al. https://doi.org/10.5194/gmd-17-5123-2024
153. Future drought risk and adaptation of pastoralism in Eurasian rangelands B. Nandintsetseg et al. https://doi.org/10.1038/s41612-024-00624-2
154. Impacts of land use conversions on soil organic carbon in a warming-induced agricultural frontier in Northern Ontario, Canada under historical and future climate R. Jiang et al. https://doi.org/10.1016/j.jclepro.2023.136902
155. Impact of mobility restrictions on NO2 concentrations in key Latin American cities during the first wave of the COVID-19 pandemic M. Volke et al. https://doi.org/10.1016/j.uclim.2023.101412
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