SEARCH Projects

Development of Bias-Corrected Precipitation Database and Climatology for the Arctic Regions

PI: Daqing Yang Co: Douglas L. Kane Co: David R. Legates Institution: U of Alaska Fairbanks

Abstract

Because of low temperatures and precipitation, coupled with high winds, bias errors at high latitudes can exceed 100%. The research will build on an extensive experimental base, especially on the World Meteorological Organization (WMO) Solid Precipitation Measurement Intercomparison Project, to assess the accuracy of precipitation measurements and implement consistent bias corrections for arctic regions. The research goal is to develop an unbiased precipitation database and climatology for the pan-Arctic. Results will improve our understanding of the spatial and temporal variability in precipitation and its contribution to the freshwater budget of the arctic regions.