39 citations as recorded by crossref.

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2. Combining random forests and physics-based models to forecast the electricity generated by ocean waves: A case study of the Mutriku wave farm P. Serras et al. 10.1016/j.oceaneng.2019.106314
3. Estimation of the rice water footprint based on machine learning algorithms A. Mokhtar et al. 10.1016/j.compag.2021.106501
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5. Precipitation scale effect of the TRMM satellite in Tianshan, China S. Ning et al. 10.1007/s11629-022-7714-x
6. A Brief Review of Random Forests for Water Scientists and Practitioners and Their Recent History in Water Resources H. Tyralis et al. 10.3390/w11050910
7. QRF4P‐NRT: Probabilistic Post‐Processing of Near‐Real‐Time Satellite Precipitation Estimates Using Quantile Regression Forests Y. Zhang et al. 10.1029/2022WR032117
8. Bias Correction of Global High-Resolution Precipitation Climatologies Using Streamflow Observations from 9372 Catchments H. Beck et al. 10.1175/JCLI-D-19-0332.1
9. Temporal changes in the relationship between tree‐ring growth and net primary production in northern Japan: a novel approach to the estimation of seasonal photosynthate allocation to the stem D. Koide & A. Ito 10.1007/s11284-018-1639-4
10. Sensitivity Studies for a Hybrid Numerical–Statistical Short-Term Wind and Gust Forecast at Three Locations in the Basque Country (Spain) S. Carreno-Madinabeitia et al. 10.3390/atmos11010045
11. Short-term forecasting of the wave energy flux: Analogues, random forests, and physics-based models G. Ibarra-Berastegi et al. 10.1016/j.oceaneng.2015.05.038
12. Harmonized evaluation of daily precipitation downscaled using SDSM and WRF+WRFDA models over the Iberian Peninsula S. González-Rojí et al. 10.1007/s00382-019-04673-9
13. Comparison of Annual Moisture Flux Variability during Dry and Wet Years over Iran M. Karimi et al. 10.1134/S0097807822060057
14. Projection of spatial and temporal changes of rainfall in Sarawak of Borneo Island using statistical downscaling of CMIP5 models Z. Sa'adi et al. 10.1016/j.atmosres.2017.08.002
15. A systematic review of predictor screening methods for downscaling of numerical climate models A. Baghanam et al. 10.1016/j.earscirev.2024.104773
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18. Combing Random Forest and Least Square Support Vector Regression for Improving Extreme Rainfall Downscaling Q. Pham et al. 10.3390/w11030451
19. Water Price Prediction for Increasing Market Efficiency Using Random Forest Regression: A Case Study in the Western United States Z. Xu et al. 10.3390/w11020228
20. Regionalization of Rainfall Regimes Using Hybrid RF-Bs Couple with Multivariate Approaches M. Ahmad Basri et al. 10.3390/ijgi10100689
21. Downscaling and Projection of Multi-CMIP5 Precipitation Using Machine Learning Methods in the Upper Han River Basin R. Xu et al. 10.1155/2020/8680436
22. Analysis of atmospheric thermodynamics using the R package aiRthermo J. Sáenz et al. 10.1016/j.cageo.2018.10.007
23. Optimising predictor domains for spatially coherent precipitation downscaling S. Radanovics et al. 10.5194/hess-17-4189-2013
24. A Novel Bias Correction Method for Extreme Events L. Trentini et al. 10.3390/cli11010003
25. An analytical comparison of four approaches to modelling the daily variability of solar irradiance using meteorological records J. Huang et al. 10.1016/j.renene.2014.07.015
26. A Nonparametric Statistical Technique for Spatial Downscaling of Precipitation Over High Mountain Asia Y. Mei et al. 10.1029/2020WR027472
27. Applying the Kolmogorov–Zurbenko filter followed by random forest models to 7Be observations in Spain (2006–2021) A. Nafarrate et al. 10.1016/j.heliyon.2024.e30820
28. Comparative assessment of the flash-flood potential within small mountain catchments using bivariate statistics and their novel hybrid integration with machine learning models R. Costache et al. 10.1016/j.scitotenv.2019.134514
29. A Downscaling–Merging Scheme for Improving Daily Spatial Precipitation Estimates Based on Random Forest and Cokriging X. Yan et al. 10.3390/rs13112040
30. Event and Catchment Controls of Heavy Tail Behavior of Floods E. Macdonald et al. 10.1029/2021WR031260
31. Downscaling future precipitation with shared socioeconomic pathway (SSP) scenarios using machine learning models in the North-Western Himalayan region A. David Raj et al. 10.1007/s40808-024-02113-0
32. The Sailor diagram – A new diagram for the verification of two-dimensional vector data from multiple models J. Sáenz et al. 10.5194/gmd-13-3221-2020
33. A Posteriori Random Forests for Stochastic Downscaling of Precipitation by Predicting Probability Distributions M. Legasa et al. 10.1029/2021WR030272
34. Comparison of two analog-based downscaling methods for regional reference evapotranspiration forecasts D. Tian & C. Martinez 10.1016/j.jhydrol.2012.10.009
35. An adaptive two-stage analog/regression model for probabilistic prediction of small-scale precipitation in France J. Chardon et al. 10.5194/hess-22-265-2018
36. Current and future assessments of soil erosion by water on the Tibetan Plateau based on RUSLE and CMIP5 climate models H. Teng et al. 10.1016/j.scitotenv.2018.04.146
37. Wave Energy Forecasting at Three Coastal Buoys in the Bay of Biscay G. Ibarra-Berastegi et al. 10.1109/JOE.2016.2529400
38. Nonlinear regression in environmental sciences using extreme learning machines: A comparative evaluation A. Lima et al. 10.1016/j.envsoft.2015.08.002
39. A Hybrid Model for Statistical Downscaling of Daily Rainfall S. Pour et al. 10.1016/j.proeng.2016.07.514