43 citations as recorded by crossref.

1. Evaluation and bias correction of the NASA POWER precipitation for representing the spatiotemporal variability of rainfall over the upper Blue Nile basin, Ethiopia K. Besha https://doi.org/10.1016/j.htopen.2026.100017
2. The Emerging Importance of TOC in River Water Quality Management: Climate Change-Based Streamflow and Water Quality Modeling for Total Load Control of TOC in the Climate-Vulnerable Tamjin River Basin, Korea C. Jung et al. https://doi.org/10.3390/w18131622
3. Flood inundation mapping under climate change scenarios: insights from CMIP6 H. Sadiqzai et al. https://doi.org/10.2166/wpt.2024.146
4. Erosion extremes under changing climate: Integrating extreme rainfall erosivity in a tropical mining landscape W. Kuntoro et al. https://doi.org/10.1016/j.envc.2026.101574
5. An effective gauge-satellite fusion approach for daily precipitation bias correction based on multi-dimensional precipitation feature space (BCFS) G. Shen et al. https://doi.org/10.1016/j.atmosres.2025.108624
6. Applying a time-varying GEV distribution to correct bias in rainfall quantiles derived from regional climate models M. Onderka et al. https://doi.org/10.2478/johh-2024-0025
7. Integrating a comprehensive index and the SWAT+ model to assess drought characteristics and risks under solar radiation modification H. Du et al. https://doi.org/10.1016/j.ecolind.2025.113852
8. Spatial Bias Correction of ERA5_Ag Reanalysis Precipitation Using Machine Learning Models in Semi-Arid Region of Morocco A. Chakri et al. https://doi.org/10.3390/atmos16111234
9. High-resolution meteorology with climate change impacts from global climate model data using generative machine learning G. Buster et al. https://doi.org/10.1038/s41560-024-01507-9
10. Climatological hazard indicators for a robust and integrated energy infrastructure in Austria P. Maier et al. https://doi.org/10.1038/s41597-025-06121-2
11. Future climate scenarios and their impact on carbonation of reinforced concrete structures in Brazil C. Teodoro et al. https://doi.org/10.1016/j.cscm.2026.e06125
12. Hydrological Vulnerability Assessment of the Pañe Reservoir Using Spatially Distributed Modeling in Google Earth Engine Under CMIP6 Climate Scenarios and Increasing Water Demand F. Alvarez Cabana et al. https://doi.org/10.3390/environments13070398
13. Flood Risk Assessment at the Administrative District Level Based on SSP Scenarios B. Cho et al. https://doi.org/10.9798/KOSHAM.2026.26.2.23
14. Future climate change implications in Bhutan from a downscaled and bias‐adjusted CMIP6 multimodel ensemble F. Lehner et al. https://doi.org/10.1002/joc.8623
15. Performance evaluation of bias correction methods for CMIP6 precipitation datasets in the drylands of the Wolaita Zone, Southern Ethiopia A. Chinasho https://doi.org/10.1108/IJCCSM-06-2025-0178
16. Assessing Climate Change Impacts on Future Precipitation Using Random Forest Statistical Downscaling of CMIP6 HadGEM3 Projections in the Büyük Menderes Basin I. Ara et al. https://doi.org/10.3390/w18020277
17. Bias adjustment of hourly rainfall distributions in WFDE5 reanalysis for hydrological impact studies in Benin (West Africa) R. Bodjrènou et al. https://doi.org/10.1007/s00704-024-05078-3
18. Quasi-SMAP: A SMAP-Referenced Long-Term Daily Surface Soil Moisture Record From 1981 to 2022 Y. Wang et al. https://doi.org/10.1109/JSTARS.2026.3701537
19. An ensemble-based projection of future hydro-climatic extremes in Iran A. Jahanshahi et al. https://doi.org/10.1016/j.jhydrol.2024.131892
20. Toward merging MOPEX and CAMELS hydrometeorological datasets: compatibility and statistical comparison K. Sink & T. Brikowski https://doi.org/10.5194/hess-29-4015-2025
21. Assessment of seasonal and extreme rainfall over Kerala using bias-corrected high-resolution climate models: historical and future changes M. Reji et al. https://doi.org/10.1007/s00382-026-08261-6
22. Assessing hydropower production potential with multisite hydrological modeling in the Koshi river Basin, Nepal A. Jha et al. https://doi.org/10.1016/j.ecmx.2025.101283
23. Wet bulb globe temperature from climate model outputs: a method for projecting hourly site-specific values and trends E. Patton et al. https://doi.org/10.1007/s00484-024-02776-5
24. Statistical downscaling reproduces high-resolution ocean transport for particle tracking in the Bering Sea T. Kristiansen et al. https://doi.org/10.1038/s41598-026-37904-1
25. Analysing the future trends of foehn-enabling synoptic patterns over two valleys in the Eastern Alps in CMIP5 EURO-CORDEX models P. Maier et al. https://doi.org/10.1007/s00704-025-05365-7
26. Climate change impacts on European electricity demand and supply until 2100 F. Schöniger et al. https://doi.org/10.1016/j.isci.2026.116818
27. Review of bias correction methods for climate model outputs in hydrology A. Menapace et al. https://doi.org/10.1016/j.jhydrol.2025.133213
28. Global Downscaled Projections for Climate Impacts Research (GDPCIR): preserving quantile trends for modeling future climate impacts D. Gergel et al. https://doi.org/10.5194/gmd-17-191-2024
29. Malbec viticultural zoning studies in Argentina based on the UCI bioclimatic index and bias-corrected CORDEX-CORE simulations M. Cabré et al. https://doi.org/10.31285/AGRO.29.1487
30. Integrated assessment of bias correction techniques, CMIP6 model rankings, and multi-model ensemble optimisation across diverse temporal scales for regional climate projection in Kerala, Southwestern India S. Athithottam & H. Ramesh https://doi.org/10.1007/s11600-025-01718-y
31. Long-term variations in precipitation types (rain, snow, and sleet) on the Tibetan Plateau: Implications for the cryosphere and ecohydrological systems S. Li et al. https://doi.org/10.1016/j.accre.2026.03.009
32. Performance analysis of IMDAA and ERA5 reanalysis in reproducing monsoon precipitation extremes over Eastern India J. Akhter et al. https://doi.org/10.1007/s00704-025-05595-9
33. Implications of CMIP6 Models‐Based Climate Biases and Runoff Sensitivity on Runoff Projection Uncertainties Over Central India S. Tyagi et al. https://doi.org/10.1002/joc.8661
34. Spatial and temporal patterns of drought under different scenarios for Türkiye in the 21st century M. Yıldız et al. https://doi.org/10.1016/j.pce.2025.104028
35. High-Resolution Projections of Bioclimatic Variables in Türkiye: Emerging Patterns and Temporal Shifts Y. Ünal et al. https://doi.org/10.3390/cli13090197
36. Climate-induced hydrological changes and agricultural implications in the Laurentian Great Lakes region H. Dang et al. https://doi.org/10.1016/j.scitotenv.2026.181355
37. Technical note: An assessment of the performance of statistical bias correction techniques for global chemistry–climate model surface ozone fields C. Staehle et al. https://doi.org/10.5194/acp-24-5953-2024
38. SPATIAL and temporal dynamics of groundwater vulnerability to contaminants under climate and land use changes in the Pra and Ankobra basins E. Arthur et al. https://doi.org/10.1016/j.wsee.2025.05.001
39. Improving Local Rainfall Projections in Bali through Bias Correction of CMIP6 Data: A Contribution to Hydro-Meteorological Disaster Mitigation F. Hidayati et al. https://doi.org/10.1088/1755-1315/1607/1/012045
40. Simulating Central-European forests in the 21st century. Effects of climate change, disturbances and management on stocks, productivity and harvests M. Lexer et al. https://doi.org/10.1016/j.jenvman.2026.129713
41. Statistical classifications for evapotranspiration and vapor pressure deficit monitoring using machine learning in tropical agriculture P. Thongnim & S. Mueanchamnong https://doi.org/10.1007/s42044-025-00346-5
42. Remotely sensed evapotranspiration-based ensemble streamflow modeling in an ungauged watershed under climate and land use/cover change, North Korea Y. Lee et al. https://doi.org/10.1016/j.jenvman.2026.129919
43. Rainfall projections under different climate scenarios over the Kaduna River Basin, Nigeria G. Okafor et al. https://doi.org/10.1007/s44274-024-00127-0