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Article: Estimating turbulent heat fluxes with a weak-constraint data assimilation scheme: A case study (HiWATER-MUSOEXE)

TitleEstimating turbulent heat fluxes with a weak-constraint data assimilation scheme: A case study (HiWATER-MUSOEXE)
Authors
KeywordsEvapotranspiration
land surface temperature (LST)
latent heat flux
sensible heat flux
weak-constraint variational data assimilation (WC-VDA)
Issue Date2015
Citation
IEEE Geoscience and Remote Sensing Letters, 2015, v. 12, n. 1, p. 68-72 How to Cite?
AbstractA weak-constraint variational data assimilation (WC-VDA) scheme was developed to estimate turbulent heat fluxes by assimilating sequences of land surface temperature measurements. In contrast to the commonly used strong-constraint VDA system, the WC-VDA approach accounts for the effects of structural and model errors and generates better results. This is achieved by adding a model error term ( $\omega$) to the surface energy balance equation. The WC-VDA model was tested at two sites with very distinct hydrological and vegetated conditions: the Daman site (a wet site located in an oasis area and covered by seeded corn) and the Huazhaizi site (a dry site located in a desert area and covered by sparse grass). The two sites represent typical desert-oasis landscapes in the middle reaches of the Heihe River Basin, northwestern China. The results proved that the WC-VDA method performed well over very dry and wet conditions, and the estimated sensible and latent heat fluxes agree well with eddy covariance measurements. © 2014 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/321612
ISSN
2023 Impact Factor: 4.0
2023 SCImago Journal Rankings: 1.248
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorXu, Tongren-
dc.contributor.authorBateni, S. Mohyddin-
dc.contributor.authorLiang, Shunlin-
dc.date.accessioned2022-11-03T02:20:14Z-
dc.date.available2022-11-03T02:20:14Z-
dc.date.issued2015-
dc.identifier.citationIEEE Geoscience and Remote Sensing Letters, 2015, v. 12, n. 1, p. 68-72-
dc.identifier.issn1545-598X-
dc.identifier.urihttp://hdl.handle.net/10722/321612-
dc.description.abstractA weak-constraint variational data assimilation (WC-VDA) scheme was developed to estimate turbulent heat fluxes by assimilating sequences of land surface temperature measurements. In contrast to the commonly used strong-constraint VDA system, the WC-VDA approach accounts for the effects of structural and model errors and generates better results. This is achieved by adding a model error term ( $\omega$) to the surface energy balance equation. The WC-VDA model was tested at two sites with very distinct hydrological and vegetated conditions: the Daman site (a wet site located in an oasis area and covered by seeded corn) and the Huazhaizi site (a dry site located in a desert area and covered by sparse grass). The two sites represent typical desert-oasis landscapes in the middle reaches of the Heihe River Basin, northwestern China. The results proved that the WC-VDA method performed well over very dry and wet conditions, and the estimated sensible and latent heat fluxes agree well with eddy covariance measurements. © 2014 IEEE.-
dc.languageeng-
dc.relation.ispartofIEEE Geoscience and Remote Sensing Letters-
dc.subjectEvapotranspiration-
dc.subjectland surface temperature (LST)-
dc.subjectlatent heat flux-
dc.subjectsensible heat flux-
dc.subjectweak-constraint variational data assimilation (WC-VDA)-
dc.titleEstimating turbulent heat fluxes with a weak-constraint data assimilation scheme: A case study (HiWATER-MUSOEXE)-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/LGRS.2014.2326180-
dc.identifier.scopuseid_2-s2.0-84906780778-
dc.identifier.volume12-
dc.identifier.issue1-
dc.identifier.spage68-
dc.identifier.epage72-
dc.identifier.isiWOS:000340952500014-

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