Articles | Volume 9, issue 2
https://doi.org/10.5194/esd-9-627-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-9-627-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Bias correction of surface downwelling longwave and shortwave radiation for the EWEMBI dataset
Potsdam Institute for Climate Impact Research, Telegraphenberg A 31, 14473 Potsdam, Germany
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- Divergent and Changing Importance of Glaciers and Snow as Natural Water Reservoirs in the Eastern and Southern Tibetan Plateau W. Qi et al. 10.1029/2021JD035888
- Modelling the water balance of Lake Victoria (East Africa) – Part 2: Future projections I. Vanderkelen et al. 10.5194/hess-22-5527-2018
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- A bias-corrected CMIP5 dataset for Africa using the CDF-t method – a contribution to agricultural impact studies A. Famien et al. 10.5194/esd-9-313-2018
- Magnitude and robustness associated with the climate change impacts on global hydrological variables for transient and stabilized climate states B. Julien et al. 10.1088/1748-9326/aac179
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Latest update: 20 Nov 2024
Short summary
The bias correction of surface downwelling longwave and shortwave radiation using parametric quantile mapping methods is shown to be more effective (i) at the daily than at the monthly timescale, (ii) if the spatial resolution gap between the reference data and the data to be corrected is bridged in a more suitable manner than by bilinear interpolation, and (iii) if physical upper limits are taken into account during the adjustment of either radiation component.
The bias correction of surface downwelling longwave and shortwave radiation using parametric...
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