Journal article
Adjustment of global gridded precipitation for systematic bias
Journal of Geophysical Research: Atmospheres, Vol.108(D9), pp.4257-n/a
05/16/2003
Handle:
https://hdl.handle.net/2376/114566
Abstract
Systematic biases in gauge‐based measurement of precipitation can be substantial. Of the sources of bias, wind‐induced undercatch of solid precipitation is by far the largest. A methodology for producing gridded mean monthly catch ratios (CRs) for the adjustment of wind‐induced undercatch and wetting losses is developed, which is suitable for application to continental or global gridded precipitation products. The adjustments for wind‐induced solid precipitation were estimated using gauge type‐specific regression equations from the recent World Meteorological Organization Solid Precipitation Measurement Intercomparison. Wind‐induced undercatch of liquid precipitation and wetting losses were estimated using methods employed in previous global bias adjustment efforts. Due to the unique nature of Canada's precipitation measurement network, the Canadian adjustments were determined using more detailed information than for the rest of the domain, and are therefore expected to be more reliable. The gridded gauge adjustment products are designed to be applicable both to climatological estimates and to individual years during the 1979 through 1998 reference period. Application of the CRs to an existing precipitation product yielded an increase in mean annual global terrestrial precipitation of 11.7%. As compared with recent (but more localized) studies that used a similar method to account for wind‐induced catch deficiencies, our estimates of wind‐induced undercatch are 1.6–7.9% higher on a mean annual basis. Compared to a previous global precipitation bias adjustment effort, our adjusted data set results on average in slightly greater warm season and lower cold season precipitation increases, greater precipitation increases over North America, and lower precipitation increases over Eurasia.
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Details
- Title
- Adjustment of global gridded precipitation for systematic bias
- Creators
- Jennifer C Adam - University of WashingtonDennis P Lettenmaier - University of Washington
- Publication Details
- Journal of Geophysical Research: Atmospheres, Vol.108(D9), pp.4257-n/a
- Academic Unit
- Civil and Environmental Engineering, Department of
- Number of pages
- 14
- Identifiers
- 99900548344001842
- Language
- English
- Resource Type
- Journal article