Thu Apr 10, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Zhou, Hao, Luo, Zhicai, Tangdamrongsub, Natthachet, Wang, Lunche, He, Lijie, Xu, Chuang, and Li, Qiong, 2017. Characterizing Drought and Flood Events over the Yangtze River Basin Using the HUST-Grace2016 Solution and Ancillary Data. Remote Sensing, 9(11):1100, doi:10.3390/rs9111100.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2017RemS....9.1100Z,
author = {{Zhou}, Hao and {Luo}, Zhicai and {Tangdamrongsub}, Natthachet and {Wang}, Lunche and {He}, Lijie and {Xu}, Chuang and {Li}, Qiong},
title = "{Characterizing Drought and Flood Events over the Yangtze River Basin Using the HUST-Grace2016 Solution and Ancillary Data}",
journal = {Remote Sensing},
keywords = {Yangtze River Basin, GRACE, PCR-GLOBWB, MODIS, NCEP/NCAR, TWS, groundwater, forward-modeling, vertical velocity, drought and flood events},
year = 2017,
month = oct,
volume = {9},
number = {11},
eid = {1100},
pages = {1100},
abstract = "{Accurate terrestrial water storage (TWS) estimation is important to
evaluate the situation of the water resources over the Yangtze
River Basin (YRB). This study exploits the TWS observation from
the new temporal gravity field model, HUST-Grace2016 (Huazhong
University of Science and Technology), which is developed by a
new low-frequency noise processing strategy. A novel GRACE
(Gravity Recovery and Climate Experiment) post-processing
approach is proposed to enhance the quality of the TWS estimate,
and the improved TWS is used to characterize the drought and
flood events over the YRB. The HUST-Grace2016-derived TWS
presents good agreement with the CSR (Center for Space Research)
mascon solution as well as the PCR-GLOBWB (PCRaster Global Water
Balance) hydrological model. Particularly, our solution provides
remarkable performance in identifying the extreme climate events
e.g., flood and drought over the YRB and its sub-basins. The
comparison between GRACE-derived TWS variations and the MODIS-
derived (Moderate Resolution Imaging Spectroradiometer)
inundated area variations is then conducted. The analysis
demonstrates that the terrestrial reflectance data can provide
an alternative way of cross-comparing and validating TWS
information in Poyang Lake and Dongting Lake, with a correlation
coefficient of 0.77 and 0.70, respectively. In contrast, the
correlation is only 0.10 for Tai Lake, indicating the limitation
of cross-comparison between MODIS and GRACE data. In addition,
for the first time, the NCEP/NCAR (National Centers for
Environmental Prediction/National Center for Atmospheric
Research) vertical velocity data is incorporated with GRACE TWS
in the exploration of the climate-induced hydrological
activities. The good agreement between non-seasonal NCEP/NCAR
vertical velocities and non-seasonal GRACE TWSs is found in
flood years (2005, 2010, 2012 and 2016) and drought years (2006,
2011 and 2013). The evidence shown in this study may contribute
to the analysis of the mechanism of climate impacts on the YRB.}",
doi = {10.3390/rs9111100},
adsurl = {https://ui.adsabs.harvard.edu/abs/2017RemS....9.1100Z},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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