Agritrop
Accueil

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. Estimation of sensible heat flux over sparsely vegetated surfaces. Journal of Hydrology, 188-189 : 855-868.

Article de revue ; Article de revue à facteur d'impact
[img] Version publiée - Anglais
Accès réservé aux personnels Cirad
Utilisation soumise à autorisation de l'auteur ou du Cirad.
391797.pdf

Télécharger (734kB)

Autre titre : Estimation du flux de chaleur sensible sur des surfaces de végétation éparse

Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Géographie-Aménagement-Urbanisme-Architecture

Résumé : 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.

Mots-clés Agrovoc : température de l'air, mesure (activité), méthode, télédétection, espacement, bilan radiatif, modèle de simulation

Mots-clés géographiques Agrovoc : Niger, États-Unis d'Amérique

Classification Agris : U30 - Méthodes de recherche
F40 - Écologie végétale

Auteurs et affiliations

  • Chehbouni A.
  • Lo Seen Danny, CIRAD-FORET-FORETS NATURELLES (FRA) ORCID: 0000-0002-7773-2109
  • Njoku E.G.
  • Lhomme J.P.
  • Monteny B.
  • Kerr Y.H.

Autres liens de la publication

Source : Cirad - Agritrop (https://agritrop.cirad.fr/391797/)

Voir la notice (accès réservé à Agritrop) Voir la notice (accès réservé à Agritrop)

[ Page générée et mise en cache le 2024-04-06 ]