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- Publisher Website: 10.1109/LGRS.2014.2326180
- Scopus: eid_2-s2.0-84906780778
- WOS: WOS:000340952500014
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Article: Estimating turbulent heat fluxes with a weak-constraint data assimilation scheme: A case study (HiWATER-MUSOEXE)
Title | Estimating turbulent heat fluxes with a weak-constraint data assimilation scheme: A case study (HiWATER-MUSOEXE) |
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Authors | |
Keywords | Evapotranspiration land surface temperature (LST) latent heat flux sensible heat flux weak-constraint variational data assimilation (WC-VDA) |
Issue Date | 2015 |
Citation | IEEE Geoscience and Remote Sensing Letters, 2015, v. 12, n. 1, p. 68-72 How to Cite? |
Abstract | A 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 Identifier | http://hdl.handle.net/10722/321612 |
ISSN | 2023 Impact Factor: 4.0 2023 SCImago Journal Rankings: 1.248 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Xu, Tongren | - |
dc.contributor.author | Bateni, S. Mohyddin | - |
dc.contributor.author | Liang, Shunlin | - |
dc.date.accessioned | 2022-11-03T02:20:14Z | - |
dc.date.available | 2022-11-03T02:20:14Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | IEEE Geoscience and Remote Sensing Letters, 2015, v. 12, n. 1, p. 68-72 | - |
dc.identifier.issn | 1545-598X | - |
dc.identifier.uri | http://hdl.handle.net/10722/321612 | - |
dc.description.abstract | A 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.language | eng | - |
dc.relation.ispartof | IEEE Geoscience and Remote Sensing Letters | - |
dc.subject | Evapotranspiration | - |
dc.subject | land surface temperature (LST) | - |
dc.subject | latent heat flux | - |
dc.subject | sensible heat flux | - |
dc.subject | weak-constraint variational data assimilation (WC-VDA) | - |
dc.title | Estimating turbulent heat fluxes with a weak-constraint data assimilation scheme: A case study (HiWATER-MUSOEXE) | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/LGRS.2014.2326180 | - |
dc.identifier.scopus | eid_2-s2.0-84906780778 | - |
dc.identifier.volume | 12 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 68 | - |
dc.identifier.epage | 72 | - |
dc.identifier.isi | WOS:000340952500014 | - |