Challenges and potential solutions in statistical downscaling of precipitation
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DOI: 10.1007/s10584-021-03083-3
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References listed on IDEAS
- Matthias Themeßl & Andreas Gobiet & Georg Heinrich, 2012. "Empirical-statistical downscaling and error correction of regional climate models and its impact on the climate change signal," Climatic Change, Springer, vol. 112(2), pages 449-468, May.
- Jie Chen & François P. Brissette & Daniel Caya, 2020. "Remaining error sources in bias-corrected climate model outputs," Climatic Change, Springer, vol. 162(2), pages 563-582, September.
- Hsin-Fu Yeh & Hsin-Li Hsu, 2019. "Using the Markov Chain to Analyze Precipitation and Groundwater Drought Characteristics and Linkage with Atmospheric Circulation," Sustainability, MDPI, vol. 11(6), pages 1-18, March.
- R. Manzanas & L. Fiwa & C. Vanya & H. Kanamaru & J. M. Gutiérrez, 2020. "Statistical downscaling or bias adjustment? A case study involving implausible climate change projections of precipitation in Malawi," Climatic Change, Springer, vol. 162(3), pages 1437-1453, October.
- Jie Chen & François Brissette & Robert Leconte, 2012. "Coupling statistical and dynamical methods for spatial downscaling of precipitation," Climatic Change, Springer, vol. 114(3), pages 509-526, October.
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- Espoir M. Bagula & Jackson Gilbert M. Majaliwa & Gustave N. Mushagalusa & Twaha A. Basamba & John-Baptist Tumuhairwe & Jean-Gomez M. Mondo & Patrick Musinguzi & Cephas B. Mwimangire & Géant B. Chuma &, 2022. "Climate Change Effect on Water Use Efficiency under Selected Soil and Water Conservation Practices in the Ruzizi Catchment, Eastern D.R. Congo," Land, MDPI, vol. 11(9), pages 1-22, August.
- Mark D. Risser & Daniel R. Feldman & Michael F. Wehner & David W. Pierce & Jeffrey R. Arnold, 2021. "Identifying and correcting biases in localized downscaling estimates of daily precipitation return values," Climatic Change, Springer, vol. 169(3), pages 1-20, December.
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Keywords
Statistical downscaling; Temporal sequence of precipitation; Daily precipitation extreme; Nonstationarity;All these keywords.
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