Journal
INTERNATIONAL JOURNAL OF CLIMATOLOGY
Volume 29, Issue 12, Pages 1872-1880Publisher
WILEY-BLACKWELL
DOI: 10.1002/joc.1819
Keywords
interpolation; precipitation; correlation; Europe
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Funding
- ENSEMBLES [GOCE-C'T-2004-50539]
- Dutch Talentenbeurs
- Dutch Prins Bernhard Cultuurfonds beurs
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Angular-distance weighting (ADW) is a common approach for interpolation of an irregular network of meteorological observations to a regular grid. A widely used version of ADW employs the correlation decay distance (CDD) to (1) select stations that should contribute to each grid-point estimate and (2) define the distance component of the station weights We show. for Europe, that the CDD of daily precipitation varies spatially, as well a by season and synoptic state, and is also anisotropic. However. ADW interpolation using CDD that varies spatially by season or synoptic state yield only small improvements in interpolation skill, relative to the use of a fixed CDD across the entire domain. if CDDs, are optimized through cross validation. a larger improvement in interpolation skill is achieved Improvements are larger for the determination of the state of precipitation (wet/dry) than for the magnitude. These or other attempts to improve interpolation skill appear to be fundamentally limited by the available station network. Copyright (C) 2008 Royal Meteorological Society
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