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| Titel |
Generation of soil moisture patterns at the catchment scale by EOF interpolation |
| VerfasserIn |
M. A. Perry, J. D. Niemann |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 12, no. 1 ; Nr. 12, no. 1 (2008-01-23), S.39-53 |
| Datensatznummer |
250010457
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| Publikation (Nr.) |
 copernicus.org/hess-12-39-2008.pdf |
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| Zusammenfassung |
| Spatial patterns of soil moisture cannot be adequately characterized by
direct measurement for most practical applications, so interpolation between
observations is required. Interpolation of soil moisture is complicated
because multiple hydrologic processes can affect soil moisture and these
processes can introduce distinct modes of variation into the soil moisture
patterns. In this paper, a new method to interpolate soil moisture data is
presented. This method accepts a dataset of soil moisture at widely-spaced
locations on multiple dates and produces fine-scale patterns of soil
moisture on the same dates. The method first uses Empirical Orthogonal
Function (EOF) analysis to decompose the dataset into a set of
time-invariant patterns of covariation (EOFs) and a set of associated time
series (called expansion coefficients or ECs) that indicate the importance
of the patterns on each date. The method then uses a statistical test to
retain only the most important EOFs, and these EOFs are interpolated to the
desired resolution using a standard estimation or interpolation method. The
interpolated EOFs are finally combined with the spatial averages and the ECs
to construct the fine-scale soil moisture patterns. Using the Tarrawarra
dataset, the EOF-based interpolation method is shown to outperform analogous
direct interpolation methods, and this improved performance is observed when
as few as two observation dates are available. The improved performance
occurs because EOF analysis decomposes soil moisture roughly according to
the controlling processes and the most important EOFs exhibit distinct but
more consistent spatial structures than soil moisture itself. Less
predictable variation is also separated into higher order EOFs, which are
discarded by the method. |
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