A variance-upscaling quantile mapping method for gridded precipitation bias correction-Reference-Cited by-同舟云学术

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A variance-upscaling quantile mapping method for gridded precipitation bias correction

Published:2024-03 Issue: Volume:632 Page:130959
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Ma Jiapei^ORCID,Wang Genxu,Li Hongyi^ORCID

Funder

Sichuan University

Publisher

Elsevier BV

Reference47 articles.

1. Bias in the variance of gridded data sets leads to misleading conclusions about changes in climate variability;Beguería;Int. J. Climatol.,2016

2. Spatial correlation of radar and gauge precipitation data in high temporal resolution;Brommundt;Adv. Geosci.,2007

3. Bias correction of GCM precipitation by quantile mapping: how well do methods preserve changes in quantiles and extremes?;Cannon;J. Clim.,2015

4. A new downscaling-integration framework for high-resolution monthly precipitation estimates: combining rain gauge observations, satellite-derived precipitation data and geographical ancillary data;Chen;Remote Sens. Environ.,2018

5. Connecting point-level and gridded moments in the analysis of climate data;Director;J. Clim.,2015

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