Preprints
https://doi.org/10.5194/hess-2020-161
https://doi.org/10.5194/hess-2020-161
04 May 2020
 | 04 May 2020
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.

Estimation of evapotranspiration through an improved daily global solar radiation in SEBAL model: a case study of the middle Heihe River Basin

Jingqiu Yin, Xinfa Qiu, Shoubo Li, Guoping Shi, and Huiyu Liu

Abstract. The agricultural activities, hydrologic cycle, and ecological environment are seriously influenced by evapotranspiration (ET), especially in arid and semi-arid areas. A new method for estimating daily global solar radiation (GSR) over rugged terrains in the middle Heihe River Basin is developed on the basis of Iqbal model C. And with the land surface parameters retrieved from multisource remote sensing data, a daily surface ET on June 21–24, 2009, is simulated by using surface energy balance algorithm for land (SEBAL) model. The results show:

1. An improved daily GSR with a resolution of 100 m × 100 m is implemented. The mean absolute bias error (MABE) is 9 W/m2, and the mean absolute relative bias error (MARBE) is 2.5 %. The MABE of the daily GSR using the SEBAL model is 122.2 W/m2, and the MARBE is 33.9 %.

2. The spatial distribution of the daily GSR is more reasonable using the improved model than the original model. The GSR is larger on a sunny slope (an open place) than on a shady slope (a rugged place).

3. Bringing the new model into SEBAL significantly improves the accuracy of the ET. The MABE of ET decreases from 2.1 mm (original scheme) to 0.6 mm (improved scheme), and the MARBE declines from 44 % to 13 % accordingly. Moreover, the spatiotemporal resolution of the ET simulation is effectively improved by the combined moderate-resolution imaging spectroradiometer and thematic mapper surface parameters.

4. All highest ET value appeared in all types of water bodies, followed by farmland, forest, wetland, and residential areas, the lowest values appeared over bare rock land. The water consumption in these areas is dominated by agriculture. The new results provide better theoretical basis and scientific guidance for ecosystem protection and sustainable utilization of water resources.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Jingqiu Yin, Xinfa Qiu, Shoubo Li, Guoping Shi, and Huiyu Liu
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Jingqiu Yin, Xinfa Qiu, Shoubo Li, Guoping Shi, and Huiyu Liu
Jingqiu Yin, Xinfa Qiu, Shoubo Li, Guoping Shi, and Huiyu Liu

Viewed

Total article views: 976 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
667 259 50 976 45 51
  • HTML: 667
  • PDF: 259
  • XML: 50
  • Total: 976
  • BibTeX: 45
  • EndNote: 51
Views and downloads (calculated since 04 May 2020)
Cumulative views and downloads (calculated since 04 May 2020)

Viewed (geographical distribution)

Total article views: 869 (including HTML, PDF, and XML) Thereof 869 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Dec 2024
Download
Short summary
The agricultural activities, hydrologic cycle, and ecological environment are seriously influenced by evapotranspiration (ET), especially in arid and semi-arid areas. A new method for estimating daily global solar radiation (GSR) is developed. Bringing the new model into surface energy balance algorithm for land (SEBAL) model, and with the multisource remote sensing data, the accuracy of the ET significantly is improved.