Thu Apr 10, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Zhou, Hao, Luo, Zhicai, Tangdamrongsub, Natthachet, Zhou, Zebing, He, Lijie, Xu, Chuang, Li, Qiong, and Wu, Yunlong, 2018. Identifying Flood Events over the Poyang Lake Basin Using Multiple Satellite Remote Sensing Observations, Hydrological Models and In Situ Data. Remote Sensing, 10(5):713, doi:10.3390/rs10050713.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2018RemS...10..713Z,
author = {{Zhou}, Hao and {Luo}, Zhicai and {Tangdamrongsub}, Natthachet and {Zhou}, Zebing and {He}, Lijie and {Xu}, Chuang and {Li}, Qiong and {Wu}, Yunlong},
title = "{Identifying Flood Events over the Poyang Lake Basin Using Multiple Satellite Remote Sensing Observations, Hydrological Models and In Situ Data}",
journal = {Remote Sensing},
keywords = {Poyang Lake basin, flood events, GRACE, terrestrial water storage, forward-modeling, hydrological model, MODIS, TRMM},
year = 2018,
month = may,
volume = {10},
number = {5},
eid = {713},
pages = {713},
abstract = "{The Poyang Lake, the largest freshwater lake in China, is famous for its
ecological and economic importance as well as frequent flood
characteristics. In this study, multiple satellite remote
sensing observations (e.g., GRACE, MODIS, Altimetry, and TRMM),
hydrological models, and in situ data are used to characterize
the flood phenomena over the Poyang Lake basin between 2003 and
2016. To improve the accuracy of the terrestrial water storage
(TWS) estimates over the Poyang Lake basin, a modified forward-
modeling method is introduced in the GRACE processing. The
method is evaluated using the contaminated noise onboard
observations for the first time. The results in both spectral
and spatial domains infer a good performance of the method on
the suppression of high-frequency noise while reducing the
signal loss. After applying forward-modeling method, the TWS
derived from the GRACE spherical harmonic coefficients presents
a comparable performance with the solution derived from the
newly released CSR Release05 mascon product over the Poyang Lake
basin. The flood events in 2010 and 2016 are identified from the
positive anomalies in non-seasonal TWSs derived by GRACE and
hydrological models. The flood signatures also coincide with the
largest inundated areas estimated from MODIS data, and the
observed areas in 2010 and 2016 are 3370.3 km$^{2}$ (30\% higher
than the long-term mean) and 3445.0 km$^{2}$ (33\% higher),
respectively. The water levels in the Hukou station exceed the
warning water level for 25 days in 2010 and 28 days in 2016.
These continuous warning-exceeded water levels also imply the
severe flood events, which are primarily driven by the local
plenteous precipitation in the rainy season (1528 mm in 2010,
1522 mm in 2016).}",
doi = {10.3390/rs10050713},
adsurl = {https://ui.adsabs.harvard.edu/abs/2018RemS...10..713Z},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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