Variational assimilation of land surface temperature within the ORCHIDEE Land Surface Model Version 1.2.6
The SECHIBA module of the ORCHIDEE land surface model describes the exchanges of water and energy between the surface and the atmosphere. In the present paper, the adjoint semi-generator software called YAO was used as a framework to implement a 4D-VAR assimilation scheme of observations in SECHIBA....
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Copernicus Publications
2017-01-01
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Series: | Geoscientific Model Development |
Online Access: | http://www.geosci-model-dev.net/10/85/2017/gmd-10-85-2017.pdf |
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author | H. S. Benavides Pinjosovsky S. Thiria C. Ottlé J. Brajard F. Badran P. Maugis |
author_facet | H. S. Benavides Pinjosovsky S. Thiria C. Ottlé J. Brajard F. Badran P. Maugis |
author_sort | H. S. Benavides Pinjosovsky |
collection | DOAJ |
description | The SECHIBA module of the ORCHIDEE land surface model describes the exchanges
of water and energy between the surface and the atmosphere. In the present
paper, the adjoint semi-generator software called YAO was used as a framework
to implement a 4D-VAR assimilation scheme of observations in SECHIBA. The
objective was to deliver the adjoint model of SECHIBA (SECHIBA-YAO) obtained
with YAO to provide an opportunity for scientists and end users to perform
their own assimilation. SECHIBA-YAO allows the control of the 11 most
influential internal parameters of the soil water content, by observing the
land surface temperature or remote sensing data such as the brightness
temperature. The paper presents the fundamental principles of the 4D-VAR
assimilation, the semi-generator software YAO and a large number of
experiments showing the accuracy of the adjoint code in different conditions
(sites, PFTs, seasons). In addition, a distributed version is available in
the case for which only the land surface temperature is observed. |
first_indexed | 2024-12-10T19:09:10Z |
format | Article |
id | doaj.art-9f9fcd591e484ea39848d1f6ed1e92d2 |
institution | Directory Open Access Journal |
issn | 1991-959X 1991-9603 |
language | English |
last_indexed | 2024-12-10T19:09:10Z |
publishDate | 2017-01-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Geoscientific Model Development |
spelling | doaj.art-9f9fcd591e484ea39848d1f6ed1e92d22022-12-22T01:36:49ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032017-01-011018510410.5194/gmd-10-85-2017Variational assimilation of land surface temperature within the ORCHIDEE Land Surface Model Version 1.2.6H. S. Benavides Pinjosovsky0S. Thiria1C. Ottlé2J. Brajard3F. Badran4P. Maugis5Sorbonne University, UPMC Univ Paris 06 CNRS-IRD-MNHN, LOCEAN Laboratory 4 place Jussieu,75005 Paris, FranceSorbonne University, UPMC Univ Paris 06 CNRS-IRD-MNHN, LOCEAN Laboratory 4 place Jussieu,75005 Paris, FranceLaboratoire des Sciences du Climat et de l'Environnement (LSCE), UMR 8212, CNRS-CEA-UVSQ, Orme des Merisiers, 91191 Gif-sur-Yvette, FranceSorbonne University, UPMC Univ Paris 06 CNRS-IRD-MNHN, LOCEAN Laboratory 4 place Jussieu,75005 Paris, FranceLaboratoire CEDRIC, Conservatoire National des Arts et Métiers, 292, rue Saint Martin, 75003 Paris, FranceLaboratoire des Sciences du Climat et de l'Environnement (LSCE), UMR 8212, CNRS-CEA-UVSQ, Orme des Merisiers, 91191 Gif-sur-Yvette, FranceThe SECHIBA module of the ORCHIDEE land surface model describes the exchanges of water and energy between the surface and the atmosphere. In the present paper, the adjoint semi-generator software called YAO was used as a framework to implement a 4D-VAR assimilation scheme of observations in SECHIBA. The objective was to deliver the adjoint model of SECHIBA (SECHIBA-YAO) obtained with YAO to provide an opportunity for scientists and end users to perform their own assimilation. SECHIBA-YAO allows the control of the 11 most influential internal parameters of the soil water content, by observing the land surface temperature or remote sensing data such as the brightness temperature. The paper presents the fundamental principles of the 4D-VAR assimilation, the semi-generator software YAO and a large number of experiments showing the accuracy of the adjoint code in different conditions (sites, PFTs, seasons). In addition, a distributed version is available in the case for which only the land surface temperature is observed.http://www.geosci-model-dev.net/10/85/2017/gmd-10-85-2017.pdf |
spellingShingle | H. S. Benavides Pinjosovsky S. Thiria C. Ottlé J. Brajard F. Badran P. Maugis Variational assimilation of land surface temperature within the ORCHIDEE Land Surface Model Version 1.2.6 Geoscientific Model Development |
title | Variational assimilation of land surface temperature within the ORCHIDEE Land Surface Model Version 1.2.6 |
title_full | Variational assimilation of land surface temperature within the ORCHIDEE Land Surface Model Version 1.2.6 |
title_fullStr | Variational assimilation of land surface temperature within the ORCHIDEE Land Surface Model Version 1.2.6 |
title_full_unstemmed | Variational assimilation of land surface temperature within the ORCHIDEE Land Surface Model Version 1.2.6 |
title_short | Variational assimilation of land surface temperature within the ORCHIDEE Land Surface Model Version 1.2.6 |
title_sort | variational assimilation of land surface temperature within the orchidee land surface model version 1 2 6 |
url | http://www.geosci-model-dev.net/10/85/2017/gmd-10-85-2017.pdf |
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