Abstract
Optimum interpolation is a procedure that allows the combination of observations with preliminary trial fields of the same quantities in order to produce an updated field in which the error variance is minimized. In this paper, an operational method is described to analyze observed precipitation amounts, based on optimum interpolation. Since the area dealt with is topographically complex, this factor has been included in the operational method. The trial fields are provided by a three-dimensional numerical weather prediction model. This paper presents an estimation of the covariances of observational and trial field errors. The procedure is applied to the heavy rainstorm of 11-13 July 1983 in the upper Columbia River watershed in southeastern British Columbia. Certain practical problems do arise in the implementation. The noncoincidence of model day and climate day tends to introduce systematic errors within the observations. This result conflicts with the assumption that observational errors are uncorrelated. Additionally, the observing system is not designed to make allowance for topographical detail. Errors are thus introduced in the observations from a variety of sources. -from Authors
Cite
CITATION STYLE
Bhargava, M., & Danard, M. (1994). Application of optimum interpolation to the analysis of precipitation in complex terrain. Journal of Applied Meteorology, 33(4), 508–518. https://doi.org/10.1175/1520-0450(1994)033<0508:AOOITT>2.0.CO;2
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