Estimation of sensible heat flux over sparsely vegetated surfaces
The approach of using remote sensing of surface temperature to estimate spatially distributed surface energy balance components is very attractive. This approach has been applied successfully over surfaces with near full vegetation cover. However, large discrepancies between measured and simulated surface fluxes have been observed over surfaces with sparse vegetation cover. The reason for these discrepancies is that the assumption that radiative surface temperature can be equated to aerodynamic surface temperature is not correct over sparsely vegetated surfaces. In this study an empirical model, relating radiative -aerodynamic surface temperature difference to radiative-air temperature gradient and leaf area index, was used to estimate sensible heat flux over sparse shrub in the Central East supersite during the Hydrologic and Atmospheric Pilot Experiment in the Sahel (HAPEX-Sahel) measurement campaign. The result shows that this parameterization leads to reasonable estimates of sensible heat flux; the root mean square error (RMSE) was about 50 W M-2. A second data set over sparse cotton in Arizona had a RMSE of about 20 W m-2. Although the results of this study are encouraging, one should be cautious, however, because there is a need for additional investigation of this procedure.
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Subjects: | U30 - Méthodes de recherche, F40 - Écologie végétale, température de l'air, mesure (activité), méthode, télédétection, espacement, bilan radiatif, modèle de simulation, http://aims.fao.org/aos/agrovoc/c_230, http://aims.fao.org/aos/agrovoc/c_4668, http://aims.fao.org/aos/agrovoc/c_4788, http://aims.fao.org/aos/agrovoc/c_6498, http://aims.fao.org/aos/agrovoc/c_7272, http://aims.fao.org/aos/agrovoc/c_6420, http://aims.fao.org/aos/agrovoc/c_24242, http://aims.fao.org/aos/agrovoc/c_5181, http://aims.fao.org/aos/agrovoc/c_8114, |
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dig-cirad-fr-3917972024-01-27T23:50:20Z http://agritrop.cirad.fr/391797/ http://agritrop.cirad.fr/391797/ Estimation of sensible heat flux over sparsely vegetated surfaces. Chehbouni A., Lo Seen Danny, Njoku E.G., Lhomme J.P., Monteny B., Kerr Y.H.. 1997. Journal of Hydrology, 188-189 : 855-868.https://doi.org/10.1016/S0022-1694(96)03174-5 <https://doi.org/10.1016/S0022-1694(96)03174-5> Estimation of sensible heat flux over sparsely vegetated surfaces Chehbouni, A. Lo Seen, Danny Njoku, E.G. Lhomme, J.P. Monteny, B. Kerr, Y.H. eng 1997 Journal of Hydrology U30 - Méthodes de recherche F40 - Écologie végétale température de l'air mesure (activité) méthode télédétection espacement bilan radiatif modèle de simulation http://aims.fao.org/aos/agrovoc/c_230 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_4788 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_7272 http://aims.fao.org/aos/agrovoc/c_6420 http://aims.fao.org/aos/agrovoc/c_24242 Niger États-Unis d'Amérique http://aims.fao.org/aos/agrovoc/c_5181 http://aims.fao.org/aos/agrovoc/c_8114 The approach of using remote sensing of surface temperature to estimate spatially distributed surface energy balance components is very attractive. This approach has been applied successfully over surfaces with near full vegetation cover. However, large discrepancies between measured and simulated surface fluxes have been observed over surfaces with sparse vegetation cover. The reason for these discrepancies is that the assumption that radiative surface temperature can be equated to aerodynamic surface temperature is not correct over sparsely vegetated surfaces. In this study an empirical model, relating radiative -aerodynamic surface temperature difference to radiative-air temperature gradient and leaf area index, was used to estimate sensible heat flux over sparse shrub in the Central East supersite during the Hydrologic and Atmospheric Pilot Experiment in the Sahel (HAPEX-Sahel) measurement campaign. The result shows that this parameterization leads to reasonable estimates of sensible heat flux; the root mean square error (RMSE) was about 50 W M-2. A second data set over sparse cotton in Arizona had a RMSE of about 20 W m-2. Although the results of this study are encouraging, one should be cautious, however, because there is a need for additional investigation of this procedure. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/391797/1/391797.pdf text Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1016/S0022-1694(96)03174-5 10.1016/S0022-1694(96)03174-5 info:eu-repo/semantics/altIdentifier/doi/10.1016/S0022-1694(96)03174-5 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1016/S0022-1694(96)03174-5 |
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U30 - Méthodes de recherche F40 - Écologie végétale température de l'air mesure (activité) méthode télédétection espacement bilan radiatif modèle de simulation http://aims.fao.org/aos/agrovoc/c_230 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_4788 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_7272 http://aims.fao.org/aos/agrovoc/c_6420 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_5181 http://aims.fao.org/aos/agrovoc/c_8114 U30 - Méthodes de recherche F40 - Écologie végétale température de l'air mesure (activité) méthode télédétection espacement bilan radiatif modèle de simulation http://aims.fao.org/aos/agrovoc/c_230 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_4788 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_7272 http://aims.fao.org/aos/agrovoc/c_6420 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_5181 http://aims.fao.org/aos/agrovoc/c_8114 |
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U30 - Méthodes de recherche F40 - Écologie végétale température de l'air mesure (activité) méthode télédétection espacement bilan radiatif modèle de simulation http://aims.fao.org/aos/agrovoc/c_230 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_4788 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_7272 http://aims.fao.org/aos/agrovoc/c_6420 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_5181 http://aims.fao.org/aos/agrovoc/c_8114 U30 - Méthodes de recherche F40 - Écologie végétale température de l'air mesure (activité) méthode télédétection espacement bilan radiatif modèle de simulation http://aims.fao.org/aos/agrovoc/c_230 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_4788 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_7272 http://aims.fao.org/aos/agrovoc/c_6420 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_5181 http://aims.fao.org/aos/agrovoc/c_8114 Chehbouni, A. Lo Seen, Danny Njoku, E.G. Lhomme, J.P. Monteny, B. Kerr, Y.H. Estimation of sensible heat flux over sparsely vegetated surfaces |
description |
The approach of using remote sensing of surface temperature to estimate spatially distributed surface energy balance components is very attractive. This approach has been applied successfully over surfaces with near full vegetation cover. However, large discrepancies between measured and simulated surface fluxes have been observed over surfaces with sparse vegetation cover. The reason for these discrepancies is that the assumption that radiative surface temperature can be equated to aerodynamic surface temperature is not correct over sparsely vegetated surfaces. In this study an empirical model, relating radiative -aerodynamic surface temperature difference to radiative-air temperature gradient and leaf area index, was used to estimate sensible heat flux over sparse shrub in the Central East supersite during the Hydrologic and Atmospheric Pilot Experiment in the Sahel (HAPEX-Sahel) measurement campaign. The result shows that this parameterization leads to reasonable estimates of sensible heat flux; the root mean square error (RMSE) was about 50 W M-2. A second data set over sparse cotton in Arizona had a RMSE of about 20 W m-2. Although the results of this study are encouraging, one should be cautious, however, because there is a need for additional investigation of this procedure. |
format |
article |
topic_facet |
U30 - Méthodes de recherche F40 - Écologie végétale température de l'air mesure (activité) méthode télédétection espacement bilan radiatif modèle de simulation http://aims.fao.org/aos/agrovoc/c_230 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_4788 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_7272 http://aims.fao.org/aos/agrovoc/c_6420 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_5181 http://aims.fao.org/aos/agrovoc/c_8114 |
author |
Chehbouni, A. Lo Seen, Danny Njoku, E.G. Lhomme, J.P. Monteny, B. Kerr, Y.H. |
author_facet |
Chehbouni, A. Lo Seen, Danny Njoku, E.G. Lhomme, J.P. Monteny, B. Kerr, Y.H. |
author_sort |
Chehbouni, A. |
title |
Estimation of sensible heat flux over sparsely vegetated surfaces |
title_short |
Estimation of sensible heat flux over sparsely vegetated surfaces |
title_full |
Estimation of sensible heat flux over sparsely vegetated surfaces |
title_fullStr |
Estimation of sensible heat flux over sparsely vegetated surfaces |
title_full_unstemmed |
Estimation of sensible heat flux over sparsely vegetated surfaces |
title_sort |
estimation of sensible heat flux over sparsely vegetated surfaces |
url |
http://agritrop.cirad.fr/391797/ http://agritrop.cirad.fr/391797/1/391797.pdf |
work_keys_str_mv |
AT chehbounia estimationofsensibleheatfluxoversparselyvegetatedsurfaces AT loseendanny estimationofsensibleheatfluxoversparselyvegetatedsurfaces AT njokueg estimationofsensibleheatfluxoversparselyvegetatedsurfaces AT lhommejp estimationofsensibleheatfluxoversparselyvegetatedsurfaces AT montenyb estimationofsensibleheatfluxoversparselyvegetatedsurfaces AT kerryh estimationofsensibleheatfluxoversparselyvegetatedsurfaces |
_version_ |
1792491525545918464 |