张立林等：Satellite-Derived Spatiotemporal Variations in Evapotranspiration over Northeast China during 1982-2010

Satellite-Derived Spatiotemporal Variations in Evapotranspiration over Northeast China during 1982-2010

作者:Zhang, LL (Zhang, Lilin)[ 1,2 ] ; Yao, YJ (Yao, Yunjun)[ 1,2 ] ; Wang, ZQ (Wang, Zhiqiang)[ 3 ] ; Jia, K (Jia, Kun)[ 1,2 ] ; Zhang, XT (Zhang, Xiaotong)[ 1,2 ] ; Zhang, YH (Zhang, Yuhu)[ 4 ] ; Wang, XY (Wang, Xuanyu)[ 1,2 ] ; Xu, J (Xu, Jia)[ 1,2 ] ; Chen, XW (Chen, Xiaowei)[ 1,2 ]

REMOTE SENSING

卷: 9  期: 11

文献号: 1140

DOI: 10.3390/rs9111140

出版年: NOV 2017

摘要

Evapotranspiration (ET) is a critical process for the climate system and water cycles. However, the spatiotemporal variations in terrestrial ET over Northeast China over the past three decades calculated from sparse meteorological point-based data remain large uncertain. In this paper, a recently proposed modified satellite-based Priestley-Taylor (MS-PT) algorithm was applied to estimate ET of Northeast China during 1982-2010. Validation results show that the square of the correlation coefficients (R-2) for the six flux tower sites varies from 0.55 to 0.88 (p < 0.01), and the mean root mean square error (RMSE) is 0.92 mm/d. The ET estimated by MS-PT has an annual mean of 441.14 +/- 18 mm/year in Northeast China, with a decreasing trend from southeast coast to northwest inland. The ET also shows in both annual and seasonal linear trends over Northeast China during 1982-2010, although this trend seems to have ceased after 1998, which increased on average by 12.3 mm per decade pre-1998 (p < 0.1) and decreased with large interannual fluctuations post-1998. Importantly, our analysis on ET trends highlights a large difference from previous studies that the change of potential evapotranspiration (PET) plays a key role for the change of ET over Northeast China. Only in the western part of Northeast China does precipitation appear to be a major controlling influence on ET.

通讯作者地址: Yao, YJ (通讯作者)

Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China.

通讯作者地址: Yao, YJ (通讯作者)

Beijing Normal Univ, Inst Remote Sensing Sci & Engn, Fac Geog Sci, Beijing Engn Res Ctr Global Land Remote Sensing P, Beijing 100875, Peoples R China.

地址:

[ 1 ] Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China

[ 2 ] Beijing Normal Univ, Inst Remote Sensing Sci & Engn, Fac Geog Sci, Beijing Engn Res Ctr Global Land Remote Sensing P, Beijing 100875, Peoples R China

[ 3 ] Minist Civil Affairs, Satellite Applicat Ctr Disaster Reduct, Natl Disaster Reduct Ctr, Beijing 100124, Peoples R China

[ 4 ] Capital Normal Univ, Coll Resource Environm & Tourism, Beijing 100048, Peoples R China