2004
DOI: 10.1016/j.advwatres.2004.04.003
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EOF analysis of surface soil moisture field variability

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Cited by 73 publications
(51 citation statements)
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“…The physical characteristic most related to the EOF pattern seemed to be soil texture (percent sand and percent clay). In contrast to the findings of Yoo and Kim (2004), topographic characteristics were relatively unimportant and even less relevant for dry conditions. Jawson and Niemann (2007) attributed this to the fact that topographic characteristics may influence soil moisture patterns mainly through lateral flow.…”
Section: Spatial Analysiscontrasting
confidence: 51%
See 2 more Smart Citations
“…The physical characteristic most related to the EOF pattern seemed to be soil texture (percent sand and percent clay). In contrast to the findings of Yoo and Kim (2004), topographic characteristics were relatively unimportant and even less relevant for dry conditions. Jawson and Niemann (2007) attributed this to the fact that topographic characteristics may influence soil moisture patterns mainly through lateral flow.…”
Section: Spatial Analysiscontrasting
confidence: 51%
“…Due to the smaller size of our dataset, the spatial EOF2 (10% explained variance) is statistically degenerated, whereas the second EOF in the study done by Perry and Niemann (2007) explained 9% of the spatial variability and could be related to the exposition (or PSRI; Potential Solar Radiation Index). Yoo and Kim (2004) investigated the characteristics of spatial and temporal variability of soil moisture and the relative roles of various affecting factors with the data of the SGP97 Little Washita field site (Famiglietti et al, 1999). Their first EOF accounted for more than 70% of the variability for interstorm periods and more than 60% for the whole dataset.…”
Section: Spatial Analysismentioning
confidence: 99%
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“…Kim and Barros (2002) and Jawson and Niemann (2007) used EOF analysis to decompose remotely-sensed soil moisture images from the SGP97 field campaign. Yoo and Kim (2004) used EOF analysis to decompose space-time patterns of ground-based soil moisture measurements for agricultural fields at the same site. The patterns of covariation that they identified are related to both topographic and soil properties.…”
Section: Introductionmentioning
confidence: 99%
“…EOF analysis is widely applied to water resources management field Sauquet et al, 2000;Benjamin, 2002;Hisdal and Tallaksen, 2003;Yoo and Kim, 2004;Viron et al, 2006;Zveryaev and Arkhipkin, 2008;Perry and Niemann, 2008). The number of EOF is as many as 58, which is the same number with the stations used.…”
Section: Establishment Of Sad Curvementioning
confidence: 94%