Preliminary Assimilation of Satellite Derived Land Surface Temperature from SEVIRI in the Surface Scheme of the AROME-France Model

The goal of this study is to examine the impact of assimilating satellite derived surface temperature over land (LST) in the surface scheme of AROME-France model. The LST is retrieved from SEVIRI radiances during the assimilation process in the atmospheric model. The assimilation of LST is performed...

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Main Authors: Mohamed Zied Sassi, Nadia Fourrié, Vincent Guidard, Camille Birman
Format: Article
Language:English
Published: Stockholm University Press 2023-02-01
Series:Tellus: Series A, Dynamic Meteorology and Oceanography
Subjects:
Online Access:https://account.a.tellusjournals.se/index.php/up/article/view/48
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author Mohamed Zied Sassi
Nadia Fourrié
Vincent Guidard
Camille Birman
author_facet Mohamed Zied Sassi
Nadia Fourrié
Vincent Guidard
Camille Birman
author_sort Mohamed Zied Sassi
collection DOAJ
description The goal of this study is to examine the impact of assimilating satellite derived surface temperature over land (LST) in the surface scheme of AROME-France model. The LST is retrieved from SEVIRI radiances during the assimilation process in the atmospheric model. The assimilation of LST is performed using an optimal interpolation technique, similarly to the assimilation of other near-surface parameters (temperature and relative humidity at 2 meters). Observation and background errors were diagnosed before to prescribe them in the surface assimilation scheme. First, this LST assimilation has been evaluated in terms of analysis and forecast quality over a two-month summer period. A positive impact has been found on the assimilation of 2 m temperature and relative humidity with a slight decrease in bias of the background departure. An improvement has also been found for the assimilation of microwave humidity sensitive channels. The assimilation of microwave sensors benefits from an updated land surface temperature through the retrieval of the emissivity. Moreover, the assimilation of SEVIRI LST has improved the nighttime forecasts of temperature and relative humidity near the surface and up to 700 hPa. Several open issues for improving these preliminary results are finally proposed.
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spelling doaj.art-2a5bd057fa784d3283e8564c959f2e312023-03-17T13:06:36ZengStockholm University PressTellus: Series A, Dynamic Meteorology and Oceanography1600-08702023-02-0175188–10788–10710.16993/tellusa.481784Preliminary Assimilation of Satellite Derived Land Surface Temperature from SEVIRI in the Surface Scheme of the AROME-France ModelMohamed Zied Sassi0https://orcid.org/0000-0001-9041-401XNadia Fourrié1https://orcid.org/0000-0001-8973-1528Vincent Guidard2https://orcid.org/0000-0002-4136-3962Camille Birman3CNRM, Université de Toulouse, Météo-France, CNRS, ToulouseCNRM, Université de Toulouse, Météo-France, CNRS, ToulouseCNRM, Université de Toulouse, Météo-France, CNRS, ToulouseCNRM, Université de Toulouse, Météo-France, CNRS, ToulouseThe goal of this study is to examine the impact of assimilating satellite derived surface temperature over land (LST) in the surface scheme of AROME-France model. The LST is retrieved from SEVIRI radiances during the assimilation process in the atmospheric model. The assimilation of LST is performed using an optimal interpolation technique, similarly to the assimilation of other near-surface parameters (temperature and relative humidity at 2 meters). Observation and background errors were diagnosed before to prescribe them in the surface assimilation scheme. First, this LST assimilation has been evaluated in terms of analysis and forecast quality over a two-month summer period. A positive impact has been found on the assimilation of 2 m temperature and relative humidity with a slight decrease in bias of the background departure. An improvement has also been found for the assimilation of microwave humidity sensitive channels. The assimilation of microwave sensors benefits from an updated land surface temperature through the retrieval of the emissivity. Moreover, the assimilation of SEVIRI LST has improved the nighttime forecasts of temperature and relative humidity near the surface and up to 700 hPa. Several open issues for improving these preliminary results are finally proposed.https://account.a.tellusjournals.se/index.php/up/article/view/48remote sensinginfrared satellite observationsobservation error diagnosticsland surface temperature retrievaldata assimilationsurface analysisnumerical weather prediction
spellingShingle Mohamed Zied Sassi
Nadia Fourrié
Vincent Guidard
Camille Birman
Preliminary Assimilation of Satellite Derived Land Surface Temperature from SEVIRI in the Surface Scheme of the AROME-France Model
Tellus: Series A, Dynamic Meteorology and Oceanography
remote sensing
infrared satellite observations
observation error diagnostics
land surface temperature retrieval
data assimilation
surface analysis
numerical weather prediction
title Preliminary Assimilation of Satellite Derived Land Surface Temperature from SEVIRI in the Surface Scheme of the AROME-France Model
title_full Preliminary Assimilation of Satellite Derived Land Surface Temperature from SEVIRI in the Surface Scheme of the AROME-France Model
title_fullStr Preliminary Assimilation of Satellite Derived Land Surface Temperature from SEVIRI in the Surface Scheme of the AROME-France Model
title_full_unstemmed Preliminary Assimilation of Satellite Derived Land Surface Temperature from SEVIRI in the Surface Scheme of the AROME-France Model
title_short Preliminary Assimilation of Satellite Derived Land Surface Temperature from SEVIRI in the Surface Scheme of the AROME-France Model
title_sort preliminary assimilation of satellite derived land surface temperature from seviri in the surface scheme of the arome france model
topic remote sensing
infrared satellite observations
observation error diagnostics
land surface temperature retrieval
data assimilation
surface analysis
numerical weather prediction
url https://account.a.tellusjournals.se/index.php/up/article/view/48
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