Mon Oct 13, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Wang, Fei, Chen, Yaning, Li, Zhi, Fang, Gonghuan, Li, Yupeng, Wang, Xuanxuan, Zhang, Xueqi, and Kayumba, Patient Mindje, 2021. Developing a Long Short-Term Memory (LSTM)-Based Model for Reconstructing Terrestrial Water Storage Variations from 1982 to 2016 in the Tarim River Basin, Northwest China. Remote Sensing, 13(5):889, doi:10.3390/rs13050889.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2021RemS...13..889W,
author = {{Wang}, Fei and {Chen}, Yaning and {Li}, Zhi and {Fang}, Gonghuan and {Li}, Yupeng and {Wang}, Xuanxuan and {Zhang}, Xueqi and {Kayumba}, Patient Mindje},
title = "{Developing a Long Short-Term Memory (LSTM)-Based Model for Reconstructing Terrestrial Water Storage Variations from 1982 to 2016 in the Tarim River Basin, Northwest China}",
journal = {Remote Sensing},
keywords = {terrestrial water storage, Tarim River Basin, LSTM model, climate change},
year = 2021,
month = feb,
volume = {13},
number = {5},
eid = {889},
pages = {889},
abstract = "{Estimating Terrestrial Water Storage (TWS) not only helps to provide a
comprehensive insight into water resource variability and the
hydrological cycle but also for better water resource
management. In the current research, Gravity Recovery And
Climate Experiment (GRACE) data are combined with the available
hydrological data to reconstruct a longer record of Terrestrial
Water Storage Anomalies (TWSA) prior to 2003 of the Tarim River
Basin (TRB), based on a Long Short-Term Memory (LSTM) model. We
found that the TWSA generated by LSTM using soil moisture,
evapotranspiration, precipitation, and temperature best matches
the GRACE-derived TWSA, with a high correlation coefficient (r)
of 0.922 and a Normalized Root Mean Square Error (NRMSE) of
0.107 during the period 2003-2012. These results show that the
LSTM model is an available and feasible method to generate TWSA.
Further, the TWSA reveals a significant fluctuating downward
trend (p < 0.001), with an average decline rate of 0.03 mm/month
during the period 1982-2016 in the TRB. Moreover, the TWSA
amount in the north of the TRB was less than that in the south
of the basin. Overall, our findings unveiled that the LSTM model
and GRACE data can be combined effectively to analyze the long-
term TWSA in large-scale basins with limited hydrological data.}",
doi = {10.3390/rs13050889},
adsurl = {https://ui.adsabs.harvard.edu/abs/2021RemS...13..889W},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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Mon Oct 13, F. Flechtner