Can bias correction and statistical downscaling methods improve the skill of seasonal precipitation forecasts?
Statistical downscaling methods are popular post-processing tools which are widely used in many sectors to adapt the coarse-resolution biased outputs from global climate simulations to the regional-to-local scale typically required by users. They range from simple and pragmatic Bias Correction (BC)...
প্রধান লেখক: | Manzanas, R, Lucero, A, Weisheimer, A, Gutiérrez, J |
---|---|
বিন্যাস: | Journal article |
প্রকাশিত: |
Springer Verlag
2017
|
অনুরূপ উপাদানগুলি
অনুরূপ উপাদানগুলি
-
Bias correcting precipitation forecasts to improve the skill of seasonal streamflow forecasts
অনুযায়ী: L. Crochemore, অন্যান্য
প্রকাশিত: (2016-09-01) -
Dynamical and statistical downscaling of seasonal temperature forecasts in Europe: Added value for user applications
অনুযায়ী: R. Manzanas, অন্যান্য
প্রকাশিত: (2018-01-01) -
Assessment of Model Drifts in Seasonal Forecasting: Sensitivity to Ensemble Size and Implications for Bias Correction
অনুযায়ী: Rodrigo Manzanas
প্রকাশিত: (2020-03-01) -
Statistical Bias Correction of Precipitation Forecasts Based on Quantile Mapping on the Sub-Seasonal to Seasonal Scale
অনুযায়ী: Xiaomeng Li, অন্যান্য
প্রকাশিত: (2023-03-01) -
Customized deep learning for precipitation bias correction and downscaling
অনুযায়ী: F. Wang, অন্যান্য
প্রকাশিত: (2023-01-01)