28 citations as recorded by crossref.

1. Evaluation of Linear and Non-Linear Downscaling Methods in Terms of Daily Variability and Climate Indices: Surface Temperature in Southern Ontario and Quebec, Canada C. Gaitan et al. https://doi.org/10.1080/07055900.2013.857639
2. Prediction of CH4 emissions from potential natural wetlands on the Tibetan Plateau during the 21st century T. Li et al. https://doi.org/10.1016/j.scitotenv.2018.11.275
3. Incorporating circulation statistics in bias correction of GCM ensembles: hydrological application for the Rhine basin C. Photiadou et al. https://doi.org/10.1007/s00382-015-2578-1
4. Current Awareness https://doi.org/10.1002/hyp.538
5. Neural Networks for Rainfall Forecasting by Atmospheric Downscaling J. Olsson et al. https://doi.org/10.1061/(ASCE)1084-0699(2004)9:1(1)
6. Influence of tropical Pacific SST on seasonal precipitation in Colombia: prediction using El Niño and El Niño Modoki S. Córdoba-Machado et al. https://doi.org/10.1007/s00382-014-2232-3
7. Statistical downscaling estimation of recent rainfall trends in the eastern slope of the Andes mountain range in Argentina J. Labraga https://doi.org/10.1007/s00704-009-0145-6
8. Improving long-lead seasonal forecasts of precipitation over Southern China based on statistical downscaling using BCC_CSM1.1m Y. Liu et al. https://doi.org/10.1016/j.dynatmoce.2021.101222
9. Prediction of spring precipitation in China using a downscaling approach Y. Liu & K. Fan https://doi.org/10.1007/s00703-012-0202-z
10. Development of a statistical downscaling model for projecting monthly rainfall over East Asia from a general circulation model output S. Paul et al. https://doi.org/10.1029/2007JD009472
11. Spatiotemporal variability of Hokkaido's seasonal precipitation in recent decades and connection to water vapour flux W. Duan et al. https://doi.org/10.1002/joc.4946
12. Improving China’s summer precipitation prediction in 2020 by observational constrained bias correction Y. Wei et al. https://doi.org/10.1007/s00704-021-03693-y
13. Quantification of anticipated future changes in high resolution design rainfall for urban areas C. Onof & K. Arnbjerg-Nielsen https://doi.org/10.1016/j.atmosres.2009.01.014
14. Quantifying carbon input for targeted soil organic carbon sequestration in China’s croplands G. Wang et al. https://doi.org/10.1007/s11104-015-2508-3
15. An application of hybrid downscaling model to forecast summer precipitation at stations in China Y. Liu & K. Fan https://doi.org/10.1016/j.atmosres.2014.01.024
16. Importance analysis of local and global climate inputs for basin‐scale streamflow prediction R. Maity & S. Kashid https://doi.org/10.1029/2010WR009742
17. Multi-predictor ensembles improving seasonal prediction of summer rainfall over the Bohai Sea Rim based on statistical downscaling of BCC_CSM1.1 m N. Wang et al. https://doi.org/10.1016/j.atmosres.2022.106221
18. Modeling methane emissions from irrigated rice cultivation inChina from 1960 to 2050 W. Zhang et al. https://doi.org/10.1111/j.1365-2486.2011.02495.x
19. A support vector machine-based method for improving real-time hourly precipitation forecast in Japan G. Yin et al. https://doi.org/10.1016/j.jhydrol.2022.128125
20. Probabilistic Multisite Precipitation Downscaling by an Expanded Bernoulli–Gamma Density Network A. Cannon https://doi.org/10.1175/2008JHM960.1
21. Prediction CH4 Emissions from the Wetlands in the Sanjiang Plain of Northeastern China in the 21st Century T. Li et al. https://doi.org/10.1371/journal.pone.0158872
22. Impacts of Agricultural Management and Climate Change on Future Soil Organic Carbon Dynamics in North China Plain G. Wang et al. https://doi.org/10.1371/journal.pone.0094827
23. Changes of precipitation amounts and extremes over Japan between 1901 and 2012 and their connection to climate indices W. Duan et al. https://doi.org/10.1007/s00382-015-2778-8
24. Nonlinear analog predictor analysis: A coupled neural network/analog model for climate downscaling A. Cannon https://doi.org/10.1016/j.neunet.2007.04.002
25. A 1998–2013 climatology of Kyushu, Japan: seasonal variations of stability and rainfall A. Poulidis & T. Takemi https://doi.org/10.1002/joc.4817
26. Model-based maximum covariance analysis for irregularly observed climatological data A. Salim & Y. Pawitan https://doi.org/10.1198/108571107X177078
27. Critical carbon input to maintain current soil organic carbon stocks in global wheat systems G. Wang et al. https://doi.org/10.1038/srep19327
28. Adaptability comparison of climate downscaling methods and future climate projections in the Pearl River Delta, China Z. Yao & G. Huang https://doi.org/10.1007/s11069-024-06993-4