37 citations as recorded by crossref.

1. A Comparison of Various Correction and Blending Techniques for Creating an Improved Satellite-Gauge Rainfall Dataset over Australia Z. Chua et al. 10.3390/rs14020261
2. 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
3. Evaluation of satellite-based rainfall estimates in the upper Blue Nile basin T. Gado et al. 10.1007/s12040-023-02235-6
4. The Effect of Papyrus Wetlands on Flow Regulation in a Tropical River Catchment A. Oyarmoi et al. 10.3390/land12122158
5. A simple machine learning approach to model real-time streamflow using satellite inputs: Demonstration in a data scarce catchment A. Kumar et al. 10.1016/j.jhydrol.2021.126046
6. Propagation of CMORPH rainfall errors to REW streamflow simulation mismatch in the upper Zambezi Basin W. Gumindoga et al. 10.1016/j.ejrh.2021.100966
7. Downscaling climate projections over large and data sparse regions: Methodological application in the Zambezi River Basin N. Peleg et al. 10.1002/joc.6578
8. Satellite rainfall bias correction incorporating effects on simulated crop water requirements C. Omondi et al. 10.1080/01431161.2024.2326801
9. Error Correction of Multi-Source Weighted-Ensemble Precipitation (MSWEP) over the Lancang-Mekong River Basin X. Tang et al. 10.3390/rs13020312
10. Estimation of soil erodibility in Peninsular Malaysia: A case study using multiple linear regression and artificial neural networks M. Rehman et al. 10.1016/j.heliyon.2024.e28854
11. Bias-Corrected CHIRP Satellite Rainfall for Water Level Simulation, Lake Ziway, Ethiopia D. Goshime et al. 10.1061/(ASCE)HE.1943-5584.0001965
12. To What Extent Is Hydrologic Connectivity Taken into Account in Catchment Studies in the Lake Tana Basin, Ethiopia? A Review A. Astuti et al. 10.3390/land11122165
13. Performance evaluation of satellite-based rainfall estimation across climatic zones in Burkina Faso J. Garba et al. 10.1007/s00704-023-04593-z
14. Exploring future trends of precipitation and runoff in arid regions under different scenarios based on a bias-corrected CMIP6 model Q. Wang et al. 10.1016/j.jhydrol.2024.130666
15. Reduced Risks of Temperature Extremes From 0.5°C less Global Warming in the Earth's Three Poles B. Tang et al. 10.1029/2021EF002525
16. Bias correction of GPM IMERG Early Run daily precipitation product using near real-time CPC global measurements L. Wei et al. 10.1016/j.atmosres.2022.106403
17. Bias correction framework for satellite precipitation products using a rain/no rain discriminative model S. Xiao et al. 10.1016/j.scitotenv.2021.151679
18. Correcting the bias of daily satellite precipitation estimates in tropical regions using deep neural network X. Yang et al. 10.1016/j.jhydrol.2022.127656
19. Future Projection of Extreme Precipitation Indices over the Indochina Peninsula and South China in CMIP6 Models B. Tang et al. 10.1175/JCLI-D-20-0946.1
20. Performance Comparison of Bias-Corrected Satellite Precipitation Products by Various Deep Learning Schemes X. Le et al. 10.1109/TGRS.2023.3299234
21. Spatiotemporal bias adjustment of IMERG satellite precipitation data across Canada S. Moazami et al. 10.1016/j.advwatres.2022.104300
22. Accuracy assessment and bias correction of remote sensing–based rainfall products over semiarid watersheds H. Ouatiki et al. 10.1007/s00704-023-04586-y
23. Performance of the Global Forecast System's medium-range precipitation forecasts in the Niger river basin using multiple satellite-based products H. Yue et al. 10.5194/hess-26-167-2022
24. Evaluation and Bias Correction of CHIRP Rainfall Estimate for Rainfall-Runoff Simulation over Lake Ziway Watershed, Ethiopia D. Goshime et al. 10.3390/hydrology6030068
25. Satellite rainfall bias assessment for crop growth simulation – A case study of maize growth in Kenya C. Omondi et al. 10.1016/j.agwat.2021.107204
26. QRF4P‐NRT: Probabilistic Post‐Processing of Near‐Real‐Time Satellite Precipitation Estimates Using Quantile Regression Forests Y. Zhang et al. 10.1029/2022WR032117
27. Comparison of bias-corrected multisatellite precipitation products by deep learning framework X. Le et al. 10.1016/j.jag.2022.103177
28. A Two-Step Approach to Blending GSMaP Satellite Rainfall Estimates with Gauge Observations over Australia Z. Chua et al. 10.3390/rs14081903
29. Bias Correction of Satellite Precipitation Products for Hydrologic Modeling in Western Ghats Region, India A. Kunnath-Poovakka & T. Eldho 10.1061/JHYEFF.HEENG-5699
30. Improving rainfall-runoff modeling in the Mekong river basin using bias-corrected satellite precipitation products by convolutional neural networks X. Le et al. 10.1016/j.jhydrol.2024.130762
31. On the Use of Satellite Rainfall Data to Design a Dam in an Ungauged Site C. Bertini et al. 10.3390/w12113028
32. A Novel Framework for Correcting Satellite-Based Precipitation Products for Watersheds with Discontinuous Observed Data, Case Study in Mekong River Basin G. Lee et al. 10.3390/rs15030630
33. Twentieth century precipitation trends in the upper Mzingwane sub-catchment of the northern Limpopo basin, Zimbabwe A. Maviza et al. 10.1007/s00704-022-04040-5
34. Performance assessment of six bias correction methods using observed and RCM data at upper Awash basin, Oromia, Ethiopia B. Tumsa 10.2166/wcc.2021.181
35. A spatiotemporal framework to calibrate high‐resolution global monthly precipitation products: An application to the Urmia Lake Watershed in Iran M. Nasseri et al. 10.1002/joc.7358
36. Assessment of Satellite-Based Precipitation Estimates over Egypt T. Gado et al. 10.1061/JHYEFF.HEENG-6051
37. Climate change/variability and hydrological modelling studies in Zimbabwe: a review of progress and knowledge gaps A. Maviza & F. Ahmed 10.1007/s42452-021-04512-9