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@ARTICLE{Han:21360,
author = {Han, X. and Li, X. and Hendricks-Franssen, H.J. and
Vereecken, H. and Montzka, C.},
title = {{S}patial horizontal correlation characteristics in the
land data assimilation of soil moisture},
journal = {Hydrology and earth system sciences},
volume = {16},
issn = {1027-5606},
address = {Katlenburg-Lindau},
publisher = {EGU},
reportid = {PreJuSER-21360},
pages = {1349 - 1363},
year = {2012},
note = {This work was supported by the National High-tech Program
(863) of China (grant number: 2009AA122104), the Knowledge
Innovation Program of the Chinese Academy of Sciences (grant
number: KZCX2-EW-312) and the NSFC (National Science
Foundation of China) project (grant number: 40901160,
40925004). Carsten Montzka received financial support from
the DFG (German Science foundation) by means of the project
TR-32 "Patterns in Soil-Vegetation-Atmosphere systems:
Monitoring, modeling and data assimilation", which is
gratefully acknowledged. The data used in this study were
acquired as part of the mission of NASA's Earth Science
Division and archived and distributed by the Goddard Earth
Sciences (GES) Data and Information Services Center (DISC).},
abstract = {Remote sensing images deliver important information about
soil moisture, but often cover only part of an area, for
example due to the presence of clouds or vegetation. This
paper examines the potential of incorporating the spatial
horizontal correlation characteristics of surface soil
moisture observations in land data assimilation in order to
obtain improved estimates of soil moisture at uncovered grid
cells (i.e. grid cells without observations). Observing
system simulation experiments were carried out to assimilate
the synthetic surface soil moisture observations into the
Community Land Model for the Babaohe River Basin in
northwestern China. The estimation of soil moisture at the
uncovered grid cells was improved when information about
surrounding observations and their spatial correlation
structure was included. Including an increasing number of
observations for covered and uncovered grid cells in the
assimilation procedure led to a better prediction of soil
moisture with an upper limit of five observations. A further
increase of the number of observations did not further
improve the results for this specific case. High
observational coverage resulted in a better assimilation
performance, depending also on the spatial distribution of
observation data. In summary, the spatial horizontal
correlation structure of soil moisture was found to be
helpful for improving the surface soil moisture data
characterization, especially for uncovered grid cells.},
keywords = {J (WoSType)},
cin = {IBG-3},
ddc = {550},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {Terrestrische Umwelt},
pid = {G:(DE-Juel1)FUEK407},
shelfmark = {Geosciences, Multidisciplinary / Water Resources},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000304049700007},
doi = {10.5194/hess-16-1349-2012},
url = {https://juser.fz-juelich.de/record/21360},
}