42 citations as recorded by crossref.

1. Prediction of rainfall time series using modular soft computingmethods C. Wu & K. Chau 10.1016/j.engappai.2012.05.023
2. Application of multi-scale wavelet entropy and multi-resolution Volterra models for climatic downscaling V. Sehgal et al. 10.1016/j.jhydrol.2016.10.048
3. Many-Objective Multi-Scenario Algorithm for Optimal Reservoir Operation Under Future Uncertainties F. Karami & A. Dariane 10.1007/s11269-018-2025-2
4. Artificial Neural Network Technique for Statistical Downscaling of Global Climate Model R. Laddimath & N. Patil 10.1007/s12647-018-00299-0
5. Seasonal prediction of high‐resolution temperature at 2‐m height over Mongolia during boreal winter using both coupled general circulation model and artificial neural network G. Bayasgalan & J. Ahn 10.1002/joc.5848
6. Downscaling and projection of precipitation from general circulation model predictors in an equatorial climate region by the automated regression-based statistical method M. Amin et al. 10.1007/s00704-013-1062-2
7. Statistical downscaling of maximum temperature under CMIP6 global climate models and evaluation of heat wave events using deep learning methods for Indo‐Gangetic Plain M. Chaturvedi et al. 10.1002/joc.8366
8. A critical view on the suitability of machine learning techniques to downscale climate change projections: Illustration for temperature with a toy experiment A. Hernanz et al. 10.1002/asl.1087
9. Forecasting the human and climate impacts on groundwater resources in the irrigated agricultural region of North China Plain H. Chen et al. 10.1002/hyp.14853
10. Filling the matrix: an ANOVA-based method to emulate regional climate model simulations for equally-weighted properties of ensembles of opportunity O. Christensen & E. Kjellström 10.1007/s00382-021-06010-5
11. Observed and model simulated twenty-first century hydro-climatic change of Northern Ethiopia S. Tesfaye et al. 10.1016/j.ejrh.2019.100595
12. Spatio-temporal variations of future wave climate-driven longshore sediment transport in the Gulf of Guinea A. Dahunsi et al. 10.1080/21664250.2023.2290316
13. Comparison of Statistical and Dynamic Downscaling Techniques in Generating High-Resolution Temperatures in China from CMIP5 GCMs L. Zhang et al. 10.1175/JAMC-D-19-0048.1
14. Evaluation of agricultural water demand under future climate change scenarios in the Loess Plateau of Northern Shaanxi, China S. Sun et al. 10.1016/j.ecolind.2017.09.048
15. Climate change impacts on the streamflow of Zarrineh River, Iran F. Yazdandoost & S. Moradian 10.1007/s40333-021-0091-4
16. Efficacy of hybrid neural networks in statistical downscaling of precipitation of the Bagmati River basin K. Kumar et al. 10.2166/wcc.2019.259
17. A PCA spatial pattern based artificial neural network downscaling model for urban flood hazard assessment J. Carreau & V. Guinot 10.1016/j.advwatres.2020.103821
18. Assessment of the FIO-CPS v2.0 in predicting 2-meter air temperature over China Q. Fu et al. 10.1016/j.dynatmoce.2023.101391
19. Applying big data beyond small problems in climate research B. Knüsel et al. 10.1038/s41558-019-0404-1
20. Multilayer perceptron neural network for downscaling rainfall in arid region: A case study of Baluchistan, Pakistan K. Ahmed et al. 10.1007/s12040-015-0602-9
21. Statistical Applications to Downscale GRACE-Derived Terrestrial Water Storage Data and to Fill Temporal Gaps H. Sahour et al. 10.3390/rs12030533
22. Use of neural networks to predict vault values after implantable collamer lens surgery K. Xu et al. 10.1007/s00417-021-05294-x
23. Evaluation of statistical downscaling methods for climate change projections over Spain: Present conditions with perfect predictors A. Hernanz et al. 10.1002/joc.7271
24. Application of Wavelet Transform for Bias Correction and Predictor Screening of Climate Data A. Hosseini Baghanam et al. 10.3390/su152115209
25. ANN-based statistical downscaling of climatic parameters using decision tree predictor screening method V. Nourani et al. 10.1007/s00704-018-2686-z
26. A non-linear and non-stationary perspective for downscaling mean monthly temperature: a wavelet coupled second order Volterra model A. Lakhanpal et al. 10.1007/s00477-017-1444-6
27. Neural Network Downscaling to Obtain Local Precipitation Scenarios in the Italian Alps: A Case Study C. Iacomino & A. Pasini 10.3390/cli12090147
28. Adapting to Climate Change with Machine Learning: The Robustness of Downscaled Precipitation in Local Impact Analysis S. Mendoza Paz et al. 10.3390/w16213070
29. Evaluation of statistical downscaling methods for climate change projections over Spain: Present conditions with imperfect predictors (global climate model experiment) A. Hernanz et al. 10.1002/joc.7611
30. Improved methods for estimating local terrestrial water dynamics from GRACE in the Northern High Plains W. Seyoum & A. Milewski 10.1016/j.advwatres.2017.10.021
31. On the suitability of a convolutional neural network based RCM-emulator for fine spatio-temporal precipitation A. Doury et al. 10.1007/s00382-024-07350-8
32. Genetic Programming for the Downscaling of Extreme Rainfall Events on the East Coast of Peninsular Malaysia S. Pour et al. 10.3390/atmos5040914
33. The History of Ideas of Downscaling—From Synoptic Dynamics and Spatial Interpolation H. von Storch & E. Zorita 10.3389/fenvs.2019.00021
34. Changes in future climate indices using Statistical Downscaling Model in the upper Baro basin of Ethiopia M. Gebremedhin et al. 10.1007/s00704-017-2151-4
35. Changes in the design and operational wind due to climate change at the Indian offshore sites S. Kulkarni et al. 10.1016/j.marstruc.2014.02.005
36. Conjunction of wavelet-entropy and SOM clustering for multi-GCM statistical downscaling A. Baghanam et al. 10.2166/nh.2018.169
37. Application of artificial neural network and predictor screening method for downscaling climatic parameters N. Rouzegari et al. 10.1088/1755-1315/491/1/012002
38. The skill of statistical downscaling in future climate with high-resolution climate models as pseudo-reality S. Mendoza Paz & P. Willems 10.1016/j.ejrh.2023.101477
39. Data-driven ensemble model to statistically downscale rainfall using nonlinear predictor screening approach V. Nourani et al. 10.1016/j.jhydrol.2018.08.049
40. Downscaling rainfall using deep learning long short‐term memory and feedforward neural network D. Tran Anh et al. 10.1002/joc.6066
41. Evaluation and projection of daily temperature percentiles from statistical and dynamical downscaling methods A. Casanueva et al. 10.5194/nhess-13-2089-2013
42. Statistical downscaling of precipitation in northwestern Iran using a hybrid model of discrete wavelet transform, artificial neural networks, and quantile mapping M. Taie Semiromi & M. Koch 10.1007/s00704-024-05033-2