Bias correction of monthly precipitation and temperature fields from Intergovernmental Panel on Climate Change AR4 models using equidistant quantile matching
Work
Year: 2010
Type: article
Abstract: A new quantile‐based mapping method is developed for the bias correction of monthly global circulation model outputs. Compared to the widely used quantile‐based matching method that assumes stationari... more
Authors Haibin Li, Justin Sheffield, Eric F. Wood
Institution Princeton University
Cites: 45
Cited by: 846
Related to: 10
FWCI: 17
Citation percentile (by year/subfield): 99.99
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
Sustainable Development Goal Climate action
Open Access status: bronze