Centre de documentation
scientifique

Retrieving soil temperature profile by assimilating MODIS LST products with ensemble Kalman filter / C. Huang in Remote sensing of environment, vol 112 n° 4 (15/04/2008)  

Public [article]  inRemote sensing of environment > vol 112 n° 4 (15/04/2008) . - pp 1320 - 1336 Titre : Retrieving soil temperature profile by assimilating MODIS LST products with ensemble Kalman filter Type de document : Article/Communication Auteurs : C. Huang, Auteur ; X. Li, Auteur ; L. Lu, Auteur Année de publication : 2008 Article en page(s) : pp 1320 - 1336 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] chaleur terrestre [Termes IGN] filtre de Kalman [Termes IGN] image Aqua-MODIS [Termes IGN] mise à jour automatique [Termes IGN] Mongolie [Termes IGN] prédiction [Termes IGN] température au sol Résumé : (Auteur) Proper estimation of initial state variables and model parameters are vital importance for determining the accuracy of numerical model prediction. In this work, we develop a one-dimensional land data assimilation scheme based on ensemble Kalman filter and Common Land Model version 3.0 (CoLM). This scheme is used to improve the estimation of soil temperature profile. The leaf area index (LAI) is also updated dynamically by MODIS LAI production and the MODIS land surface temperature (LST) products are assimilated into CoLM. The scheme was tested and validated by observations from four automatic weather stations (BTS, DRS, MGS, and DGS) in Mongolian Reference Site of CEOP during the period of October 1, 2002 to September 30, 2003. Results indicate that data assimilation improves the estimation of soil temperature profile about 1 K. In comparison with simulation, the assimilation results of soil heat fluxes also have much improvement about 13 W m- 2 at BTS and DGS and 2 W m- 2 at DRS and MGS, respectively. In addition, assimilation of MODIS land products into land surface model is a practical and effective way to improve the estimation of land surface variables and fluxes. Copyright Elsevier Numéro de notice : A2008-091 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2007.03.028 En ligne : https://doi.org/10.1016/j.rse.2007.03.028 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29086 [article]