Mon Oct 13, F. Flechtner
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Wang, Zhihui, Cui, Zepeng, He, Tian, Tang, Qiuhong, Xiao, Peiqing, Zhang, Pan, and Wang, Lingling, 2021. Attributing the Evapotranspiration Trend in the Upper and Middle Reaches of Yellow River Basin Using Global Evapotranspiration Products. Remote Sensing, 14(1):175, doi:10.3390/rs14010175.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2021RemS...14..175W,
author = {{Wang}, Zhihui and {Cui}, Zepeng and {He}, Tian and {Tang}, Qiuhong and {Xiao}, Peiqing and {Zhang}, Pan and {Wang}, Lingling},
title = "{Attributing the Evapotranspiration Trend in the Upper and Middle Reaches of Yellow River Basin Using Global Evapotranspiration Products}",
journal = {Remote Sensing},
keywords = {evapotranspiration trend, linear weighting method, ``two-step'' sensitivity analysis, quantitative attribution, upper and middle reaches of the Yellow River},
year = 2021,
month = dec,
volume = {14},
number = {1},
eid = {175},
pages = {175},
abstract = "{Climate variation and underlying surface dynamics have caused a
significant change in the trend of evapotranspiration (ET) in
the Yellow River Basin (YRB) over the last two decades. Combined
with the measured rainfall, runoff and gravity recovery and
climate experiment (GRACE) product, five global ET products were
firstly merged using a linear weighting method. Linear slope,
``two-step'' multiple regression, partial differential, and
residual methods were then employed to explore the quantitative
impacts of precipitation (PCPN), temperature (Temp), sunshine
duration (SD), vapor pressure deficit (VPD), wind speed (WS),
leaf area index (LAI), and the residual factors (e.g.,
microtopography changes, irrigation, etc.) on the ET trend in
the YRB. The results show that: (1) The ET estimates were
improved by merging five global ET products using the linear
weighting method. The sensitivities of climatic factors and LAI
on the ET trend can be separately calculated using proposed
``two-step'' statistical regression method; (2) the overall ET
trend in the entire study area during 2000-2018 was 3.82 mm/yr,
and the highest ET trend was observed in the Toudaoguai-Longmen
subregion. ET trend was dominantly driven by vegetation
greening, with an impact of 2.47 mm/yr and a relative impact
rate of 51.16\%. The results indicated that the relative impact
rate of the residual factors (e.g., microtopography, irrigation,
etc.) on the ET trend is up to 28.17\%. The PCPN and VPD had
increasing roles on the ET trend, with impacts of 0.45 mm/yr and
0.05 mm/yr, respectively, whereas the Temp, SD, and WS had
decreasing impacts of -0.19 mm/yr, -0.15 mm/yr, and -0.17 mm/yr,
respectively. (3) The spatial pattern of impact of specific
influencing factor on the ET trend was determined by the spatial
pattern of change trend slope of this factor and sensitivity of
ET to this factor. ET trends of the source area and the
Qingtongxia-Toudaoguai were dominated by the climatic factors,
while the residual factors dominated the ET trend in the
Tangnaihai-Qingtongxia area. The vegetation restoration was the
dominant factor causing the increase in the ET in the middle
reaches of the YRB, and the impact rates of the LAI were ranked
as follows: Yanhe Rive > Wudinghe River > Fenhe River > Jinghe
River > Beiluohe River > Qinhe River > Kuyehe River > Yiluohe
River.}",
doi = {10.3390/rs14010175},
adsurl = {https://ui.adsabs.harvard.edu/abs/2021RemS...14..175W},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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