846 citations as recorded by crossref.

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46. A seven-parameter Bernoulli-Gamma-Gaussian model to calibrate subseasonal to seasonal precipitation forecasts Z. Huang et al. 10.1016/j.jhydrol.2022.127896
47. Evaluating methods for reconstructing large gaps in historic snow depth time series J. Aschauer & C. Marty 10.5194/gi-10-297-2021
48. Climate change impacts on multi-objective reservoir management: case study on the Seine River basin, France D. Dorchies et al. 10.1080/15715124.2013.865636
49. Characterizing and avoiding physical inconsistency generated by the application of univariate quantile mapping on daily minimum and maximum temperatures over Hudson Bay M. Agbazo & P. Grenier 10.1002/joc.6432
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52. Bias Correction for Precipitation Simulated by RegCM4 over the Upper Reaches of the Yangtze River Based on the Mixed Distribution Quantile Mapping Method B. Li et al. 10.3390/atmos12121566
53. Evaluation of Seven Gap-Filling Techniques for Daily Station-Based Rainfall Datasets in South Ethiopia A. Chinasho et al. 10.1155/2021/9657460
54. Climate change impacts on future snow, ice and rain runoff in a Swiss mountain catchment using multi-dataset calibration S. Etter et al. 10.1016/j.ejrh.2017.08.005
55. Predicted changes in future precipitation and air temperature across Bangladesh using CMIP6 GCMs M. Kamruzzaman et al. 10.1016/j.heliyon.2023.e16274
56. Fundar para defender: fortificación y geoestrategia en Saint-Domingue entre 1665 y 1748 I. López Hernández 10.3989/gladius.2019.08
57. Climate Change and Maize Yield in Iowa H. Xu et al. 10.1371/journal.pone.0156083
58. SnowQM 1.0: a fast R package for bias-correcting spatial fields of snow water equivalent using quantile mapping A. Michel et al. 10.5194/gmd-17-8969-2024
59. Changing compound rainfall events in Tasmania N. Earl et al. 10.1002/joc.7791
60. Uncertainty of annual runoff projections in Lithuanian rivers under a future climate V. Akstinas et al. 10.2166/nh.2019.004
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62. An extremes-weighted empirical quantile mapping for global climate model data bias correction for improved emphasis on extremes A. Rohith & R. Cibin 10.1007/s00704-024-04965-z
63. Multi-hazard could exacerbate in coastal Bangladesh in the context of climate change M. Rahman et al. 10.1016/j.jclepro.2024.142289
64. Quantification of uncertainties in streamflow extremes in the Chaliyar river basin, India under climate change S. Ansa Thasneem et al. 10.1007/s00704-023-04410-7
65. Identification of the Optimum Rain Gauge Network Density for Hydrological Modelling Based on Radar Rainfall Analysis Y. Gyasi-Agyei 10.3390/w12071906
66. Hydrologic Model Evaluation and Assessment of Projected Climate Change Impacts Using Bias-Corrected Stream Flows J. Daraio 10.3390/w12082312
67. Evaluating the Credibility of Downscaling: Integrating Scale, Trend, Extreme, and Climate Event into a Diagnostic Framework F. Sun et al. 10.1175/JAMC-D-20-0078.1
68. Evaluating the performance of RegCM4 in studies on irrigated and rainfed cotton crops A. Shikha et al. 10.1007/s12040-021-01705-z
69. Projected effects of climate change on shallow landslides, North Shore Mountains, Vancouver, Canada M. Jakob & T. Owen 10.1016/j.geomorph.2021.107921
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74. Climate change and vine protection : the case of mildews management in Burgundy S. Zito et al. 10.1051/e3sconf/20185001006
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78. Statistical bias correction of regional climate model simulations for climate change projection in the Jemma sub-basin, upper Blue Nile Basin of Ethiopia G. Worku et al. 10.1007/s00704-019-03053-x
79. Improving Boreal Summer Precipitation Predictions From the Global NMME Through Res34‐Unet X. Tong et al. 10.1029/2023GL106391
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82. Verification of Weather and Seasonal Forecast Information Concerning the Peri-Urban Farmers’ Needs in the Lower Ganges Delta in Bangladesh S. Paparrizos et al. 10.3390/atmos11101041
83. 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. 10.1038/s41598-023-29592-y
84. Uncertainty and Nonstationarity in Streamflow Extremes under Climate Change Scenarios over a River Basin J. Das & N. Umamahesh 10.1061/(ASCE)HE.1943-5584.0001571
85. Reducing the Statistical Distribution Error in Gridded Precipitation Data for the Tibetan Plateau J. Ma et al. 10.1175/JHM-D-20-0096.1
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96. High-resolution meteorological forcing data for hydrological modelling and climate change impact analysis in the Mackenzie River Basin Z. Asong et al. 10.5194/essd-12-629-2020
97. Bias-corrected climate projections for South Asia from Coupled Model Intercomparison Project-6 V. Mishra et al. 10.1038/s41597-020-00681-1
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99. New insights into the decadal variability in glacier volume of a tropical ice cap, Antisana (0°29′ S, 78°09′ W), explained by the morpho-topographic and climatic context R. Basantes-Serrano et al. 10.5194/tc-16-4659-2022
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104. Assessment of Future Rainfall Quantile Changes in South Korea Based on a CMIP6 Multi-Model Ensemble S. Kim et al. 10.3390/w17060894
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134. Performance of bias corrected monthly CMIP6 climate projections with different reference period data in Turkey S. Oruc 10.1007/s11600-022-00731-9
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137. Prediction of the effects of management practices on discharge and mineral nitrogen yield from paddy fields under future climate using APEX-paddy model M. Kamruzzaman et al. 10.1016/j.agwat.2020.106345
138. Impacts of Climate Change on Extreme Precipitation Events and Urban Waterlogging: A Case Study of Beijing X. Ji et al. 10.1061/NHREFO.NHENG-1889
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143. The potential impacts of climate and forest changes on streamflow for micro-, meso- and macro-scale catchments in Norway S. Huang et al. 10.1016/j.ejrh.2024.102147
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155. Correcting Satellite Precipitation Data and Assimilating Satellite-Derived Soil Moisture Data to Generate Ensemble Hydrological Forecasts within the HBV Rainfall-Runoff Model M. Ciupak et al. 10.3390/w11102138
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158. Optimal automatic enhanced ERA5 daily precipitation data for environmental and agricultural monitoring tools in scarce data regions D. Perri et al. 10.1007/s00704-023-04730-8
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161. Impact of Climate Change on Phenology of Two Heat-Resistant Wheat Varieties and Future Adaptations M. Ishtiaq et al. 10.3390/plants11091180
162. Changing seasonality of moderate and extreme precipitation events in the Alps S. Brönnimann et al. 10.5194/nhess-18-2047-2018
163. Ensemble bias correction of climate simulations: preserving internal variability P. Vaittinada Ayar et al. 10.1038/s41598-021-82715-1
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214. Validation and Bias Correction of Monthly δ18O Precipitation Time Series from ECHAM5-Wiso Model in Central Europe V. Salamalikis & A. Argiriou 10.3390/oxygen2020010
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219. Glacier Mass Changes of Lake-Terminating Grey and Tyndall Glaciers at the Southern Patagonia Icefield Derived From Geodetic Observations and Energy and Mass Balance Modeling S. Weidemann et al. 10.3389/feart.2018.00081
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223. Hydro-Meteorological Drought Projections into the 21-st Century for Selected Polish Catchments H. Meresa et al. 10.3390/w8050206
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227. Resilience of an Integrated Crop–Livestock System to Climate Change: A Simulation Analysis of Cover Crop Grazing in Southern Brazil C. Peterson et al. 10.3389/fsufs.2020.604099
228. Impacts of climate change on streamflow of Qinglong River, China X. Liu & Z. Tang 10.2166/wcc.2023.568
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231. Spatio-Temporal Analysis of Climatic Variables in the Munneru River Basin, India, Using NEX-GDDP Data and the REA Approach E. Buri et al. 10.3390/su14031715
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237. Enumerating the Effects of Climate Change on Water Resources Using GCM Scenarios at the Xin’anjiang Watershed, China M. Zaman et al. 10.3390/w10101296
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246. Improved Simulation of Peak Flows under Climate Change: Postprocessing or Composite Objective Calibration? X. Zhang et al. 10.1175/JHM-D-14-0218.1
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251. Climate Change Impact on Hydropower Resources in Gauged and Ungauged Lithuanian River Catchments D. Jakimavičius et al. 10.3390/w12113265
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263. Novel application of a process convolution approach for calibrating output from numerical models M. Holthuijzen et al. 10.1002/env.2822
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282. Resilient agriculture: water management for climate change adaptation in Lower Saxony R. Cotera et al. 10.2166/wcc.2024.455
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284. Correction of Mean and Extreme Temperature Simulation over South Korea Using a Trend-preserving Bias Correction Method H. Jung & M. Suh 10.14191/Atmos.2015.25.2.205
285. Consequences of rapid ice sheet melting on the Sahelian population vulnerability D. Defrance et al. 10.1073/pnas.1619358114
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287. Regional climate model and extreme event trend analysis in the Nouhao subbasin, Burkina Faso W. Noba et al. 10.1007/s00704-025-05364-8
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289. Erosion and Sedimentation Processes in a Semi-Arid Basin of the Brazilian Savanna under Different Land Use, Climate Change, and Conservation Scenarios B. Bendito et al. 10.3390/w15030563
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292. Non‐stationary bias correction of monthly CMIP5 temperature projections over China using a residual‐based bagging tree model Y. Tao et al. 10.1002/joc.5188
293. Using Machine Learning to Predict Suspended Sediment Transport under Climate Change N. Bezak et al. 10.1007/s11269-025-04108-7
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295. A Paleo Perspective of Alabama and Florida (USA) Interstate Streamflow M. Vines et al. 10.3390/w13050657
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298. Impacts of climate change on hydrological regime and water resources management of the Koshi River Basin, Nepal L. Devkota & D. Gyawali 10.1016/j.ejrh.2015.06.023
299. Historical footprints and future projections of global dust burden from bias-corrected CMIP6 models J. Liu et al. 10.1038/s41612-023-00550-9
300. From global circulation to local flood loss: Coupling models across the scales G. Felder et al. 10.1016/j.scitotenv.2018.04.170
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302. Evaluation of Past and Future Climate Trends under CMIP6 Scenarios for the UBNB (Abay), Ethiopia A. Alaminie et al. 10.3390/w13152110
303. 1,100‐Year Reconstruction of Baseflow for the Santee River, South Carolina, USA Reveals Connection to the North Atlantic Subtropical High J. Maxwell et al. 10.1029/2022GL100742
304. Regional climate model performance and application of bias corrections in simulating summer monsoon maximum temperature for agro-climatic zones in India R. Bhatla et al. 10.1007/s00704-020-03393-z
305. The New Bias Correction Method for Daily Extremes Precipitation over South Korea using CMIP6 GCMs Y. Song et al. 10.1007/s11269-022-03338-3
306. Assessment of Climate Change Impacts on Water Resources in Three Representative Ukrainian Catchments Using Eco-Hydrological Modelling I. Didovets et al. 10.3390/w9030204
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309. Relevance of surface albedo to forestry policy in high latitude and altitude regions may be overvalued R. Bright et al. 10.1088/1748-9326/ad657e
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311. Future changes in mean and extreme precipitation over the Mediterranean and Sahara regions using bias‐corrected CMIP6 models H. Babaousmail et al. 10.1002/joc.7644
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313. Conditional stochastic simulation model for spatial downscaling for assessing the effects of climate change on hydro-meteorological variables T. Lee & T. Ouarda 10.1007/s10584-018-2276-1
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315. Modelling the impact of climate change on dengue outbreaks and future spatiotemporal shift in Pakistan A. Saeed et al. 10.1007/s10653-022-01429-z
316. Historical and future winter chill for temperate fruit and nut trees in Afghanistan A. Shinwari et al. 10.1007/s10584-024-03840-0
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319. Machine-Learning-Based Precipitation Reconstructions: A Study on Slovenia’s Sava River Basin A. Ramírez Molina et al. 10.3390/hydrology10110207
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322. Sub-regional variation in atmospheric and land variables regulates tea yield in the Dooars region of West Bengal, India P. Mallik & T. Ghosh 10.1007/s00484-023-02521-4
323. Impacts of climate change on spatial drought distribution in the Mediterranean Basin (Turkey): different climate models and downscaling methods Z. Erkol et al. 10.1007/s00704-024-04867-0
324. Projection and Analysis of Floods in the Upper Heihe River Basin under Climate Change Y. Ye et al. 10.3390/atmos14071083
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331. Deep Learning for Improving Numerical Weather Prediction of Heavy Rainfall P. Hess & N. Boers 10.1029/2021MS002765
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335. Influence of climate change and population growth on Amazon Metropolis water supply F. da Silva & C. Blanco 10.1016/j.uclim.2023.101538
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344. Potential Impacts of Climate Change on Shrimps Distribution of Commercial Importance in the Gulf of California A. Cota-Durán et al. 10.3390/app11125506
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348. CROPGRO-Cotton model for determining climate change impacts on yield, water- and N- use efficiencies of cotton in the Dry Savanna of West Africa K. Amouzou et al. 10.1016/j.agsy.2018.06.005
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558. Recent hydrological response of glaciers in the Canadian Rockies to changing climate and glacier configuration D. Pradhananga & J. Pomeroy 10.5194/hess-26-2605-2022
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560. Validation of meteorological and ground-level ozone WRF-CHIMERE simulations in a mountainous grapevine growing area for phytotoxic risk assessment D. Blanco-Ward et al. 10.1016/j.atmosenv.2021.118507
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567. Performance of seasonal forecasts for the flowering and veraison of two major Portuguese grapevine varieties C. Yang et al. 10.1016/j.agrformet.2023.109342
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660. ATTRICI v1.1 – counterfactual climate for impact attribution M. Mengel et al. 10.5194/gmd-14-5269-2021
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683. The Use and Abuse of Climate Scenarios in Agriculture J. Kim & J. Yun 10.5532/KJAFM.2016.18.3.170
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688. Non-Stationary Hydrological Regimes Due to Climate Change: The Impact of Future Precipitation in the Spillway Design of a Reservoir, Case Study: Sube y Baja Dam, in Ecuador J. Herbozo et al. 10.3390/atmos13050828
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843. Difference of total precipitation and snowfall in the Upper Yangtze River basin under 1.5 °C and 2 °C global warming scenarios Y. Ren & S. Liu 10.1007/s00703-020-00750-5
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