Estimation of annual potential evapotranspiration at regional scale based on the effect of moisture on soil respiration

Liyin Liang, Shaolin Peng, Junmei Sun, Leiyi Chen and Yuexiu Cao

Ecological Modelling, 2010, vol. 221, issue 22, 2668-2674

Abstract: Potential evapotranspiration (PET) is an important component of water cycle. For traditional models derived from the principle of aerodynamics and the surface energy balance, its calculation always includes many parameters, such as net radiation, water vapor pressure, air temperature and wind speed. We found that it can be acquired in an easier way in specific regions. In this study, a new PET model (PETP model) derived from two empirical models of soil respiration was evaluated using the Penman–Monteith equation as a standard method. The results indicate that the PETP model estimation concur with the Penman–Monteith equation in sites where annual precipitation ranges from 717.71mm to 1727.37mm (R2=0.68, p=0.0002), but show large discrepancies in all sites (R2=0.07, p=0.1280). Then we applied our PETP model at the global scale to the regions with precipitation higher than 700mm using 2.5° CMAP data to obtain the annual PET for 2006. As expected, the spatial pattern is satisfactory overall, with the highest PET values distributed in the lower latitudes or coastal regions, and with an average of 1292.60±540.15mmyear−1. This PETP model provides a convenient approach to estimate PET at regional scales.

Keywords: Potential evapotranspiration; Precipitation; Soil respiration; CENTURY; CMAP (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304380010004059
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:221:y:2010:i:22:p:2668-2674

DOI: 10.1016/j.ecolmodel.2010.08.010

Access Statistics for this article

Ecological Modelling is currently edited by Brian D. Fath

More articles in Ecological Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().