Back to Search Start Over

Attributing the Changes in Reference Evapotranspiration in Southwestern China Using a New Separation Method.

Authors :
SHANLEI SUN
HAISHAN CHEN
GE SUN
WEIMIN JU
GUOJIE WANG
XING LI
GUIXIA YAN
CHUJIE GAO
JIN HUANG
FANGMIN ZHANG
SIGUANG ZHU
WENJIAN HUA
Source :
Journal of Hydrometeorology. Mar2017, Vol. 18 Issue 3, p777-798. 22p.
Publication Year :
2017

Abstract

This study investigated monthly and annual reference evapotranspiration ETo changes over southwestern China (SWC) from 1960 to 2012, using the Food and Agriculture Organization of the United Nations' report 56 (FAO-56) Penman-Monteith equation and routine meteorological observations at 269 weather sites. During 1960-2012, the monthly and annual ETo decreased at most sites. Moreover, the SWC regional average trend in annual ETo was significantly negative (p < 0.05); this trend was the same in most months. A new separation method using several numerical experiments was proposed to quantify each driving factor's contribution to ETo changes and exhibited higher accuracy based on several validation criteria, after which an attribution analysis was performed. Across SWC, the declining annual ETo was mainly due to decreased net radiation (RN). Spatially, the annual ETo changes at most sites in eastern SWC (excluding southeastern West Guangxi) were generally due to RN, whereas wind speed (WND) or vapor pressure deficit (VPD) was the determinant at other sites. Nevertheless, the determinants differed among 12 months. For the whole SWC, increased VPD in February and decreased WND in April, May, and October were the determinant of decreased ETo; however, decreased RN was the determinant in other months. Overall, the determinant of the monthly ETo changes exhibited a complex spatial pattern. A complete analysis of ETo changes and the related physical mechanisms in SWC is necessary to better understand hydroclimatological extremes (e.g., droughts) and to develop appropriate strategies to sustain regional development (e.g., water resources and agriculture). Importantly, this separation method provides new perspective for quantitative attribution analyses and thus may be implemented in various scientific fields (e.g., climatology and hydrology). [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1525755X
Volume :
18
Issue :
3
Database :
Academic Search Index
Journal :
Journal of Hydrometeorology
Publication Type :
Academic Journal
Accession number :
122227587
Full Text :
https://doi.org/10.1175/JHM-D-16-0118.1