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Assimilation of passive and active microwave soil moisture retrievals

CS Draper, RH Reichle, Gabriëlle De Lannoy UGent and Q Liu (2012) GEOPHYSICAL RESEARCH LETTERS. 39.
abstract
Near-surface soil moisture observations from the active microwave ASCAT and the passive microwave AMSR-E satellite instruments are assimilated, both separately and together, into the NASA Catchment land surface model over 3.5 years using an ensemble Kalman filter. The impact of each assimilation is evaluated using in situ soil moisture observations from 85 sites in the US and Australia, in terms of the anomaly time series correlation-coefficient, R. The skill gained by assimilating either ASCAT or AMSR-E was very similar, even when separated by land cover type. Over all sites, the mean root-zone R was significantly increased from 0.45 for an open-loop, to 0.55, 0.54, and 0.56 by the assimilation of ASCAT, AMSR-E, and both, respectively. Each assimilation also had a positive impact over each land cover type sampled. For maximum accuracy and coverage it is recommended that active and passive microwave observations be assimilated together.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
METHODOLOGY, OPTICAL DEPTH RETRIEVAL
journal title
GEOPHYSICAL RESEARCH LETTERS
Geophys. Res. Lett
volume
39
article_number
L04401
pages
5 pages
Web of Science type
Article
Web of Science id
000300820700001
JCR category
GEOSCIENCES, MULTIDISCIPLINARY
JCR impact factor
3.982 (2012)
JCR rank
11/170 (2012)
JCR quartile
1 (2012)
ISSN
0094-8276
DOI
10.1029/2011GL050655
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2075894
handle
http://hdl.handle.net/1854/LU-2075894
date created
2012-03-28 11:46:51
date last changed
2012-08-19 00:30:49
@article{2075894,
  abstract     = {Near-surface soil moisture observations from the active microwave ASCAT and the passive microwave AMSR-E satellite instruments are assimilated, both separately and together, into the NASA Catchment land surface model over 3.5 years using an ensemble Kalman filter. The impact of each assimilation is evaluated using in situ soil moisture observations from 85 sites in the US and Australia, in terms of the anomaly time series correlation-coefficient, R. The skill gained by assimilating either ASCAT or AMSR-E was very similar, even when separated by land cover type. Over all sites, the mean root-zone R was significantly increased from 0.45 for an open-loop, to 0.55, 0.54, and 0.56 by the assimilation of ASCAT, AMSR-E, and both, respectively. Each assimilation also had a positive impact over each land cover type sampled. For maximum accuracy and coverage it is recommended that active and passive microwave observations be assimilated together.},
  articleno    = {L04401},
  author       = {Draper, CS and Reichle, RH and De Lannoy, Gabri{\"e}lle and Liu, Q},
  issn         = {0094-8276},
  journal      = {GEOPHYSICAL RESEARCH LETTERS},
  keyword      = {METHODOLOGY,OPTICAL DEPTH RETRIEVAL},
  language     = {eng},
  pages        = {5},
  title        = {Assimilation of passive and active microwave soil moisture retrievals},
  url          = {http://dx.doi.org/10.1029/2011GL050655},
  volume       = {39},
  year         = {2012},
}

Chicago
Draper, CS, RH Reichle, Gabriëlle De Lannoy, and Q Liu. 2012. “Assimilation of Passive and Active Microwave Soil Moisture Retrievals.” Geophysical Research Letters 39.
APA
Draper, C., Reichle, R., De Lannoy, G., & Liu, Q. (2012). Assimilation of passive and active microwave soil moisture retrievals. GEOPHYSICAL RESEARCH LETTERS, 39.
Vancouver
1.
Draper C, Reichle R, De Lannoy G, Liu Q. Assimilation of passive and active microwave soil moisture retrievals. GEOPHYSICAL RESEARCH LETTERS. 2012;39.
MLA
Draper, CS, RH Reichle, Gabriëlle De Lannoy, et al. “Assimilation of Passive and Active Microwave Soil Moisture Retrievals.” GEOPHYSICAL RESEARCH LETTERS 39 (2012): n. pag. Print.