Name
Title | ||
|---|---|---|
Satellite-Derived Spatiotemporal Variations in Evapotranspiration over Northeast China during 1982-2010. |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.3390/rs9111140 | REMOTE SENSING |
Keywords | Field | DocType |
evapotranspiration,Northeast China,MS-PT algorithm,spatial-temporal variations,controlling factors,potential evapotranspiration | Satellite,China,Flux,Climatology,Geology,Evapotranspiration,Water cycle,Precipitation | Journal |
Volume | Issue | ISSN |
9 | 11 | 2072-4292 |
Citations | PageRank | References |
2 | 0.39 | 2 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lilin Zhang | 1 | 6 | 3.56 |
| Yunjun Yao | 2 | 105 | 30.36 |
| Zhiqiang Wang | 3 | 158 | 35.98 |
| Kun Jia | 4 | 42 | 10.20 |
| Xiaotong Zhang | 5 | 159 | 27.16 |
| Yuhu Zhang | 6 | 3 | 2.43 |
| Xuanyu Wang | 7 | 6 | 3.58 |
| Jia Xu | 8 | 3 | 1.75 |
| Xiaowei Chen | 9 | 108 | 12.32 |