Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.153 IF 5.153
  • IF 5-year value: 5.460 IF 5-year
    5.460
  • CiteScore value: 7.8 CiteScore
    7.8
  • SNIP value: 1.623 SNIP 1.623
  • IPP value: 4.91 IPP 4.91
  • SJR value: 2.092 SJR 2.092
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 123 Scimago H
    index 123
  • h5-index value: 65 h5-index 65
Preprints
https://doi.org/10.5194/hessd-11-13479-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hessd-11-13479-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

  10 Dec 2014

10 Dec 2014

Review status
This discussion paper is a preprint. It has been under review for the journal Hydrology and Earth System Sciences (HESS). The manuscript was not accepted for further review after discussion.

Evaluation of an extreme-condition-inverse calibration remote sensing model for mapping energy balance fluxes in arid riparian areas

S.-H. Hong1,*, J. M. H. Hendrickx1, J. Kleissl2, R. G. Allen3, W. G. M. Bastiaanssen4, R. L. Scott5, and A. L. Steinwand6 S.-H. Hong et al.
  • 1New Mexico Tech, Socorro, NM, USA
  • 2University of California, San Diego, CA, USA
  • 3University of Idaho, Kimberly, ID, USA
  • 4Delft University of Technology, Delft, the Netherlands
  • 5Southwest Watershed Research Center, USDA-ARS, Tucson, AZ, USA
  • 6Inyo County, Water Department, Independence, CA, USA
  • *now at: Murray State University, Murray, KY, USA

Abstract. Accurate information on the distribution of the surface energy balance components in arid riparian areas is needed for sustainable management of water resources as well as for a better understanding of water and heat exchange processes between the land surface and the atmosphere. Since the spatial and temporal distributions of these fluxes over large areas are difficult to determine from ground measurements alone, their prediction from remote sensing data is very attractive as it enables large area coverage and a high repetition rate. In this study the Surface Energy Balance Algorithm for Land (SEBAL) was used to estimate all the energy balance components in the arid riparian areas of the Middle Rio Grande Basin (New Mexico), San Pedro Basin (Arizona), and Owens Valley (California). We compare instantaneous and daily SEBAL fluxes derived from Landsat TM images to surface-based measurements with eddy covariance flux towers. This study presents evidence that SEBAL yields reliable estimates for actual evapotranspiration rates in riparian areas of the southwestern United States. The great strength of the SEBAL method is its internal calibration procedure that eliminates most of the bias in latent heat flux at the expense of increased bias in sensible heat flux.

S.-H. Hong et al.

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

S.-H. Hong et al.

S.-H. Hong et al.

Viewed

Total article views: 874 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
536 260 78 874 76 94
  • HTML: 536
  • PDF: 260
  • XML: 78
  • Total: 874
  • BibTeX: 76
  • EndNote: 94
Views and downloads (calculated since 10 Dec 2014)
Cumulative views and downloads (calculated since 10 Dec 2014)

Cited

Saved

Discussed

No discussed metrics found.
Latest update: 08 Aug 2020
Publications Copernicus
Download
Citation