150 citations as recorded by crossref.

1. Global impact of climate change on soil erosion and potential for adaptation through soil conservation J. Eekhout & J. de Vente 10.1016/j.earscirev.2022.103921
2. Frequency-intensity-distribution bias correction and trend analysis of high-resolution CMIP6 precipitation data over a tropical river basin D. Jose & G. Dwarakish 10.1007/s00704-022-04078-5
3. The assessment of change in human heat stress risk in Brazil projected by the CMIP6 models L. Gohar et al. 10.1088/2515-7620/ad92f7
4. Quantile-based bias-correction of extreme rainfall: Pros & cons of popular methods for climate signal preservation R. Padulano et al. 10.1016/j.jhydrol.2025.132814
5. Co-producing an urban heat climate service for UK cities: A case study of Belfast, Northern Ireland V. Ramsey et al. 10.1016/j.cliser.2024.100464
6. Convection-permitting regional climate simulations for representing floods in small- and medium-sized catchments in the Eastern Alps C. Reszler et al. 10.5194/nhess-18-2653-2018
7. Sensitivity of bias adjustment methods to low-frequency internal climate variability over the reference period: an ideal model study R. Bonnet et al. 10.1088/2752-5295/ac6adc
8. Uncertainty quantification in intensity-duration-frequency curves under climate change: Implications for flood-prone tropical cities W. Zhao et al. 10.1016/j.atmosres.2022.106070
9. Evaluation of change factor methods in downscaling extreme precipitation over India M. VishnuPriya & V. Agilan 10.1016/j.jhydrol.2022.128531
10. Near-real-time forecasting of reservoir inflows using explainable machine learning and short-term weather forecasts K. Sushanth et al. 10.1007/s00477-023-02489-y
11. On the role of wave climate temporal variability in bias correction of GCM-RCM wave simulations A. Lira Loarca et al. 10.1007/s00382-023-06756-0
12. Analysis of past and projected changes in extreme precipitation indices in some watersheds in Côte d'Ivoire N. Amichiatchi et al. 10.2166/wcc.2023.365
13. Assessing climate risk using ensembles: A novel framework for applying and extending open-source climate risk assessment platforms L. Dawkins et al. 10.1016/j.crm.2023.100510
14. Multi-region lifetime assessment of reinforced concrete structures subjected to carbonation and climate change E. Bastidas-Arteaga et al. 10.1016/j.istruc.2022.09.061
15. Development of intensity–duration–frequency relationships in Khon Kaen City, Thailand under changing climate using GCMs and a simple scaling method K. Tedprasith & W. Lohpaisankrit 10.2166/wcc.2024.533
16. Estimating pros and cons of statistical downscaling based on EQM bias adjustment as a complementary method to dynamical downscaling A. Reder et al. 10.1038/s41598-024-84527-5
17. Prediction of groundwater level fluctuations under climate change based on machine learning algorithms in the Mashhad aquifer, Iran G. Panahi et al. 10.2166/wcc.2023.027
18. Quantifying uncertainty and sensitivity in climate risk assessments: Varying hazard, exposure and vulnerability modelling choices L. Dawkins et al. 10.1016/j.crm.2023.100511
19. Long-term precipitation prediction in different climate divisions of California using remotely sensed data and machine learning S. Majnooni et al. 10.1080/02626667.2023.2248112
20. Variations in Present and Future Hourly Extreme Rainfall: Insights from High-Resolution Data and Novel Temporal Disaggregation Model Y. Dai et al. 10.3390/w16233463
21. How future changes in irrigation water supply and demand affect water security in a Mediterranean catchment J. Eekhout et al. 10.1016/j.agwat.2024.108818
22. ibicus: a new open-source Python package and comprehensive interface for statistical bias adjustment and evaluation in climate modelling (v1.0.1) F. Spuler et al. 10.5194/gmd-17-1249-2024
23. Evaluation of four bias correction methods and random forest model for climate change projection in the Mara River Basin, East Africa P. das et al. 10.2166/wcc.2022.299
24. Exploring the effects of climate change on the water balance of a continuously moving deep-seated landslide T. Zieher et al. 10.1007/s11069-022-05558-7
25. Assessment of the Impacts of Climate Change Scenarios on Maize Yield and Irrigation Water Using the CropSyst Model: An Application in Northern Greece P. Koukouli et al. 10.3390/agronomy15030638
26. Future Climate Projections for Tacna, Peru: Assessing Changes in Temperature and Precipitation G. De la Cruz et al. 10.3390/atmos16020144
27. Improving Future Estimation of Cheliff-Mactaa-Tafna Streamflow via an Ensemble of Bias Correction Approaches M. Renima et al. 10.3390/cli10080123
28. Testing bias adjustment methods for regional climate change applications under observational uncertainty and resolution mismatch A. Casanueva et al. 10.1002/asl.978
29. Impact of downscaled rainfall biases on projected runoff changes S. Charles et al. 10.5194/hess-24-2981-2020
30. Climate change impact projections at the catchment scale in Tunisia using the multi-model ensemble mean approach S. Moussa et al. 10.1007/s12517-018-3532-4
31. Impact of climate change on landslides frequency: the Esino river basin case study (Central Italy) L. Sangelantoni et al. 10.1007/s11069-018-3328-6
32. Future changes to high impact weather in the UK H. Hanlon et al. 10.1007/s10584-021-03100-5
33. pyClim-SDM: Service for generation of statistically downscaled climate change projections supporting national adaptation strategies A. Hernanz et al. 10.1016/j.cliser.2023.100408
34. A combined wavelet analysis-quantile mapping (WA-QM) method for bias correction: capturing the intra-annual temporal patterns in climate model precipitation simulations and projections X. Wu et al. 10.1088/1748-9326/adae23
35. Climate change impacts on regional agricultural irrigation water use in semi-arid environments X. Tian et al. 10.1016/j.agwat.2023.108239
36. The Construction of Probabilistic Wildfire Risk Estimates for Individual Real Estate Parcels for the Contiguous United States E. Kearns et al. 10.3390/fire5040117
37. An improved empirical quantile mapping approach for bias correction of extreme values in climate model simulations K. Byun & A. Hamlet 10.1088/1748-9326/ad9b3d
38. Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0) S. Lange 10.5194/gmd-12-3055-2019
39. Optimizing urban water sustainability: Integrating deep learning, genetic algorithm, and CMIP6 GCM for groundwater potential zone prediction within a social-ecological-technological framework M. Rahman et al. 10.1016/j.asr.2024.03.033
40. Sensitivity of Glacier Runoff to Winter Snow Thickness Investigated for Vatnajökull Ice Cap, Iceland, Using Numerical Models and Observations L. Schmidt et al. 10.3390/atmos9110450
41. Bias Correction for Climate Model Output (1) Method Characteristics and Classification S. WATANABE 10.3178/jjshwr.33.243
42. Downscaling fire weather extremes from historical and projected climate models P. Jain et al. 10.1007/s10584-020-02865-5
43. How soil erosion model conceptualization affects soil loss projections under climate change J. Eekhout & J. De Vente 10.1177/0309133319871937
44. Bias Correction of Mixed Distributions of Temperature with Strong Diurnal Signal M. Haider et al. 10.1175/WAF-D-21-0108.1
45. Climate change reshapes bioclimatic environments in China’s dry–wet transition zones M. Li et al. 10.1016/j.jhydrol.2024.131122
46. High-quality reconstruction of China’s natural streamflow C. Miao et al. 10.1016/j.scib.2021.09.022
47. Growth Response of Red Oaks to Climatic Conditions in the Lower Mississippi Alluvial Valley: Implications for Bottomland Hardwood Restoration with a Changing Climate J. Choi et al. 10.3390/cli11010010
48. Robust handling of extremes in quantile mapping – “Murder your darlings” P. Berg et al. 10.5194/gmd-17-8173-2024
49. Real-time streamflow forecasting in a reservoir-regulated river basin using explainable machine learning and conceptual reservoir module K. Sushanth et al. 10.1016/j.scitotenv.2022.160680
50. Probable maximum precipitation (PMP) and flood (PMF) risk charts in Hodna basin, Algeria S. Zeroual et al. 10.1007/s00703-022-00879-5
51. A framework for the predictive mapping of forest soil properties in mountain areas A. Simon et al. 10.1016/j.geoderma.2020.114383
52. Direct and indirect application of univariate and multivariate bias corrections on heat-stress indices based on multiple regional-climate-model simulations L. Qiu et al. 10.5194/esd-14-507-2023
53. Identifying climate extremes in Southern Africa through advanced bias correction of climate projections L. Trentini et al. 10.1007/s42865-025-00097-y
54. Global warming threatens conservation status of alpine EU habitat types in the European Eastern Alps P. Schwager & C. Berg 10.1007/s10113-019-01554-z
55. Changes in Snow Depth, Snow Cover Duration, and Potential Snowmaking Conditions in Austria, 1961–2020—A Model Based Approach M. Olefs et al. 10.3390/atmos11121330
56. Evaluating skills and issues of quantile-based bias adjustment for climate change scenarios F. Lehner et al. 10.5194/ascmo-9-29-2023
57. Climate adjusted projections of the distribution and frequency of poor air quality days for the contiguous United States B. Wilson et al. 10.3389/feart.2024.1320170
58. Seasonality and Impact Factor Analysis of Streamflow Sensitivity to Climate Change Across China J. Gou et al. 10.1029/2022EF003062
59. Revisiting the bias correction of climate models for impact studies T. Dinh & F. Aires 10.1007/s10584-023-03597-y
60. Assessment of bias correction methods for high resolution daily precipitation projections with CMIP6 models: A Canadian case study X. Li & Z. Li 10.1016/j.ejrh.2025.102223
61. Near-term regional climate change over Bangladesh Y. Choi et al. 10.1007/s00382-021-05856-z
62. Atmospheric River Sequences as Indicators of Hydrologic Hazard in Historical Reanalysis and GFDL SPEAR Future Climate Projections C. Bowers et al. 10.1029/2023EF003536
63. Land use and climate change-induced soil erosion mapping in a sub-tropical environment S. Pal et al. 10.1080/19475705.2023.2270129
64. Projecting Health Impacts of Future Temperature: A Comparison of Quantile-Mapping Bias-Correction Methods W. Qian & H. Chang 10.3390/ijerph18041992
65. Investigating statistical bias correction with temporal subsample of the upper Ping River Basin, Thailand S. Wuthiwongtyohtin 10.2166/wcc.2020.021
66. 21st Century alpine climate change S. Kotlarski et al. 10.1007/s00382-022-06303-3
67. Spatiotemporal dynamics of landslide susceptibility under future climate change and land use scenarios K. Ullah et al. 10.1088/1748-9326/ad8a72
68. MIdASv0.2.1 – MultI-scale bias AdjuStment P. Berg et al. 10.5194/gmd-15-6165-2022
69. Non-Stationary Precipitation Frequency Estimates for Resilient Infrastructure Design in a Changing Climate: A Case Study in Sydney S. Doulabian et al. 10.3390/hydrology10060117
70. Exploring the Effect of Occurrence-Bias-Adjustment Assumptions on Hydrological Impact Modeling J. Van de Velde et al. 10.3390/w13111573
71. Analysis of extreme precipitation and its variability under climate change in a river basin S. Ansa Thasneem et al. 10.1007/s11069-019-03664-7
72. 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
73. Compilation of a guideline providing comprehensive information on freely available climate change data and facilitating their efficient retrieval B. Chimani et al. 10.1016/j.cliser.2020.100179
74. The impact of using different probability representations in application of equidistant quantile matching for bias adjustment of daily precipitation over the Daqing River Basin, North China M. Lv et al. 10.1002/joc.7272
75. Spring frost risk for regional apple production under a warmer climate C. Unterberger et al. 10.1371/journal.pone.0200201
76. Climate projections for glacier change modelling over the Himalayas M. Jury et al. 10.1002/joc.6298
77. Research on quantitative assessment of climate change risk at an urban scale: Review of recent progress and outlook of future direction B. Ye et al. 10.1016/j.rser.2020.110415
78. Klimaszenarien zur Optimierung eines Talsperren-Betriebsplans H. Lohr et al. 10.1007/s35147-023-1843-1
79. Multivariate adjustment of drizzle bias using machine learning in European climate projections G. Lazoglou et al. 10.5194/gmd-17-4689-2024
80. Multi-model ensembles for regional and national wheat yield forecasts in Argentina M. Zachow et al. 10.1088/1748-9326/ad627c
81. Bias Correction and Trend Analysis of Temperature Data by a High-Resolution CMIP6 Model over a Tropical River Basin D. Jose & G. Dwarakish 10.1007/s13143-021-00240-7
82. Projected heat wave increasing trends over China based on combined dynamical and multiple statistical downscaling methods M. Zhang et al. 10.1016/j.accre.2023.09.001
83. Uni- and multivariate bias adjustment methods in Nordic catchments: Complexity and performance in a changing climate F. Tootoonchi et al. 10.1016/j.scitotenv.2022.158615
84. Coupled weather-biosphere model (WRF-VPRM) response to extreme land cover scenarios over Ganga basin: a cross-component analysis V. Huggannavar & J. Indu 10.1088/2515-7620/acea1e
85. Regional Climate Model Biases, Their Dependence on Synoptic Circulation Biases and the Potential for Bias Adjustment: A Process‐Oriented Evaluation of the Austrian Regional Climate Projections D. Maraun et al. 10.1029/2020JD032824
86. Evaluation of a multi-staged bias correction approach on CHIRP and CHIRPS rainfall product: a case study of the Lake Hawassa watershed T. Beyene et al. 10.2166/wcc.2023.457
87. Past and future changes of the Austrian climate – Importance for tourism M. Olefs et al. 10.1016/j.jort.2021.100395
88. On the Management of Nature-Based Solutions in Open-Air Laboratories: New Insights and Future Perspectives G. Gallotti et al. 10.3390/resources10040036
89. A simple hybrid statistical–dynamical downscaling method for emulating regional climate models over Western Europe. Evaluation, application, and role of added value? J. Boé et al. 10.1007/s00382-022-06552-2
90. Increased sediment deposition triggered by climate change impacts freshwater pearl mussel habitats and metapopulations D. Baldan et al. 10.1111/1365-2664.13940
91. Intercomparison of joint bias correction methods for precipitation and flow from a hydrological perspective K. Kim et al. 10.1016/j.jhydrol.2021.127261
92. Apparent contradiction in the projected climatic water balance for Austria: wetter conditions on average versus higher probability of meteorological droughts K. Haslinger et al. 10.5194/nhess-23-2749-2023
93. Bioclimatic indicators dataset for the orographically complex Canary Islands archipelago P. Sosa-Guillén et al. 10.1038/s41597-024-04134-x
94. Comparative analysis of bias correction methods for projecting extreme precipitation and temeprature indices in Pakistan Z. Ali et al. 10.1016/j.atmosres.2025.107957
95. Performance Evaluation of Bias Correction Methods for Climate Change Monthly Precipitation Projections over Costa Rica M. Mendez et al. 10.3390/w12020482
96. Remaining error sources in bias-corrected climate model outputs J. Chen et al. 10.1007/s10584-020-02744-z
97. Assessing the impact on crop modelling of multi- and uni-variate climate model bias adjustments S. Galmarini et al. 10.1016/j.agsy.2023.103846
98. The implications of bias correction methods and climate model ensembles on soil erosion projections under climate change J. Eekhout & J. de Vente 10.1002/esp.4563
99. Risk assessment in water resources planning under climate change at the Júcar River basin S. Suárez-Almiñana et al. 10.5194/hess-24-5297-2020
100. Bias adjustment to preserve changes in variability: the unbiased mapping of GCM changes C. Chadwick et al. 10.1080/02626667.2023.2201450
101. Functional redundant soil fauna and microbial groups and processes were fairly resistant to drought in an agroecosystem A. Watzinger et al. 10.1007/s00374-023-01728-2
102. Comparison of conventional and machine learning methods for bias correcting CMIP6 rainfall and temperature in Nigeria B. Tanimu et al. 10.1007/s00704-024-04888-9
103. A framework for projecting future intensity-duration-frequency (IDF) curves based on CORDEX Southeast Asia multi-model simulations: An application for two cities in Southern Vietnam W. Zhao et al. 10.1016/j.jhydrol.2021.126461
104. Seasonal climate models for national wheat yield forecasts in Brazil M. Zachow et al. 10.1016/j.agrformet.2023.109753
105. Future climate risk to UK agriculture from compound events F. Garry et al. 10.1016/j.crm.2021.100282
106. Novel application of a process convolution approach for calibrating output from numerical models M. Holthuijzen et al. 10.1002/env.2822
107. Comparison of Multiple Surface Ocean Wind Products with Buoy Data over Blue Amazon (Brazilian Continental Margin) V. Paiva et al. 10.1155/2021/6680626
108. Impact Analysis of Univariate and Multivariate Bias Correction on Rice Irrigation Water Needs in Jiangxi Province, China W. Hanggoro et al. 10.3390/w12020381
109. Modelling the impact of climate change on soil erosion and sediment yield: a case study in a sub-tropical catchment, India J. Rajbanshi & S. Bhattacharya 10.1007/s40808-021-01117-4
110. Assessment of Nonstationarity and Uncertainty in Precipitation Extremes of a River Basin Under Climate Change S. Ansa Thasneem et al. 10.1007/s10666-021-09752-y
111. Correcting systematic bias in derived hydrologic simulations – Implications for climate change assessments A. Sharma et al. 10.2166/wcc.2023.230
112. Impact of bias correction on climate change signals over central Europe and the Iberian Peninsula A. Ugolotti et al. 10.3389/fenvs.2023.1116429
113. Linking local climate scenarios to global warming levels: applicability, prospects and uncertainties B. Becsi & H. Formayer 10.1088/2752-5295/ad574e
114. Glacio-hydrological melt and run-off modelling: application of a limits of acceptability framework for model comparison and selection J. Mackay et al. 10.5194/tc-12-2175-2018
115. On the Use of Original and Bias-Corrected Climate Simulations in Regional-Scale Hydrological Scenarios in the Mediterranean Basin L. Sangelantoni et al. 10.3390/atmos10120799
116. Bias Correction and Evaluation of Precipitation Data from the CORDEX Regional Climate Model for Monitoring Climate Change in the Wadi Chemora Basin (Northeastern Algeria) S. Derdour et al. 10.3390/atmos13111876
117. Evaluation of bias correction techniques for generating high-resolution daily temperature projections from CMIP6 models X. Li & Z. Li 10.1007/s00382-023-06778-8
118. Projected Changes in Southeast Asian Sea Surface Characteristics Using CMIP6 GCMs O. Salehie et al. 10.1007/s41748-024-00480-3
119. Bias correction of surface downwelling longwave and shortwave radiation for the EWEMBI dataset S. Lange 10.5194/esd-9-627-2018
120. The uneven impact of climate change on drought with elevation in the Canary Islands J. Carrillo et al. 10.1038/s41612-023-00358-7
121. Does Applying Subsampling in Quantile Mapping Affect the Climate Change Signal? P. Reiter & M. Casper 10.3390/hydrology11090143
122. Assessing the Effect of Bias Correction Methods on the Development of Intensity–Duration–Frequency Curves Based on Projections from the CORDEX Central America GCM-RCM Multimodel-Ensemble M. Mendez et al. 10.3390/w16233473
123. Warming may offset impact of precipitation changes on riverine nitrogen loading G. Zhao et al. 10.1073/pnas.2220616120
124. A process‐based soil erosion model ensemble to assess model uncertainty in climate‐change impact assessments J. Eekhout et al. 10.1002/ldr.3920
125. Analysis of Climate Change Projections for Mozambique under the Representative Concentration Pathways A. Mavume et al. 10.3390/atmos12050588
126. Effects of Bias-Corrected Regional Climate Projections and Their Spatial Resolutions on Crop Model Results under Different Climatic and Soil Conditions in Austria S. Thaler et al. 10.3390/agriculture11111029
127. Performance of bias-correction schemes for CMORPH rainfall estimates in the Zambezi River basin W. Gumindoga et al. 10.5194/hess-23-2915-2019
128. The Time of Emergence (ToE) of the Andean Mediterranean sclerophyllous forest of Quillaja saponaria (Mol.) and Lithraea caustica (mol.) Hox. & Arn D. Martínez et al. 10.1016/j.foreco.2023.121169
129. Real-time reservoir operation using inflow and irrigation demand forecasts in a reservoir-regulated river basin K. Sushanth et al. 10.1016/j.scitotenv.2023.166806
130. Impact of solar geoengineering on temperatures over the Indonesian Maritime Continent H. Kuswanto et al. 10.1002/joc.7391
131. Towards process-informed bias correction of climate change simulations D. Maraun et al. 10.1038/nclimate3418
132. High-resolution climate datasets in hydrological impact studies: Assessing their value in alpine and pre-alpine catchments in southeastern Austria S. Peßenteiner et al. 10.1016/j.ejrh.2021.100962
133. Changes of hydro-meteorological trigger conditions for debris flows in a future alpine climate R. Kaitna et al. 10.1016/j.scitotenv.2023.162227
134. Climate Model Biases and Modification of the Climate Change Signal by Intensity-Dependent Bias Correction M. Ivanov et al. 10.1175/JCLI-D-17-0765.1
135. Downscaled climate model erosivity projections and drivers of change across distinct climate regions N. Bulovic et al. 10.1016/j.catena.2024.108250
136. A Weighting Scheme in A Multi-Model Ensemble for Bias-Corrected Climate Simulation Y. Shin et al. 10.3390/atmos11080775
137. CLIMBra - Climate Change Dataset for Brazil A. Ballarin et al. 10.1038/s41597-023-01956-z
138. Quantifying overheating risk in English schools: A spatially coherent climate risk assessment L. Dawkins et al. 10.1016/j.crm.2024.100602
139. Responses of Extreme Discharge to Changes in Surface-Air and Dewpoint Temperatures in Utah: Seasonality and Mechanisms T. Wright et al. 10.3390/w15040688
140. Future changes in annual, seasonal and monthly runoff signatures in contrasting Alpine catchments in Austria S. Hanus et al. 10.5194/hess-25-3429-2021
141. A simplified procedure to assess the effects of climate change on landslide hazard in a small area of the Southern Apennines in Italy G. Rianna et al. 10.1007/s11069-022-05656-6
142. Operational low-flow forecasting using LSTMs J. Deng et al. 10.3389/frwa.2023.1332678
143. A new method for runoff prediction error correction based on LS-SVM and a 4D copula joint distribution Y. Liu et al. 10.1016/j.jhydrol.2021.126223
144. WITHDRAWN: Intercomparison of joint bias correction methods for precipitation and flow from a hydrological perspective K. Kim et al. 10.1016/j.hydroa.2021.100109
145. Assessing the hillslope-channel contributions to the catchment sediment balance under climate change J. Eekhout et al. 10.1016/j.envsoft.2023.105890
146. The effect of univariate bias adjustment on multivariate hazard estimates J. Zscheischler et al. 10.5194/esd-10-31-2019
147. Climate change impact on maize (Zea mays L.) yield using crop simulation and statistical downscaling models: A review B. Charles et al. 10.5897/SRE2017.6521
148. Future aridity and drought risk for traditional and super-intensive olive orchards in Portugal T. Freitas et al. 10.1007/s10584-024-03813-3
149. Variance decomposition of forecasted sediment transport in a lowland watershed using global climate model ensembles N. Al Aamery et al. 10.1016/j.jhydrol.2021.126760
150. Stochastic downscaling of gridded precipitation to spatially coherent subgrid precipitation fields using a transformed Gaussian model M. Switanek et al. 10.1002/joc.7581