Mon Oct 13, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Huang, Zhongwei, Tang, Qiuhong, Lo, Min-Hui, Liu, Xingcai, Lu, Hui, Zhang, Xuejun, and Leng, Guoyong, 2019. The influence of groundwater representation on hydrological simulation and its assessment using satellite-based water storage variation. Hydrological Processes, 33(8):1218–1230, doi:10.1002/hyp.13393.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2019HyPr...33.1218H,
author = {{Huang}, Zhongwei and {Tang}, Qiuhong and {Lo}, Min-Hui and {Liu}, Xingcai and {Lu}, Hui and {Zhang}, Xuejun and {Leng}, Guoyong},
title = "{The influence of groundwater representation on hydrological simulation and its assessment using satellite-based water storage variation}",
journal = {Hydrological Processes},
year = 2019,
month = apr,
volume = {33},
number = {8},
pages = {1218-1230},
abstract = "{The interaction between surface water and groundwater is an important
aspect of hydrological processes. Despite its importance,
groundwater is not well represented in many land surface models.
In this study, a groundwater module with consideration of
surface water and groundwater dynamic interactions is
incorporated into the distributed biosphere hydrological (DBH)
model in the upstream of the Yellow River basin, China. Two
numerical experiments are conducted using the DBH model: one
with groundwater module active, namely, DBH\_GW and the other
without, namely, DBH\_NGW. Simulations by two experiments are
compared with observed river discharge and terrestrial water
storage (TWS) variation from the Gravity Recovery and Climate
Experiment (GRACE). The results show that river discharge during
the low flow season that is underestimated in the DBH\_NGW has
been improved by incorporating the groundwater scheme. As for
the TWS, simulation in DBH\_GW shows better agreement with GRACE
data in terms of interannual and intraseasonal variations and
annual changing trend. Furthermore, compared with DBH\_GW, TWS
simulated in DBH\_NGW shows smaller decreases during autumn and
smaller increases in spring. These results suggest that
consideration of groundwater dynamics enables a more reasonable
representation of TWS change by increasing TWS amplitudes and
signals and as a consequence, improves river discharge
simulation in the low flow seasons when groundwater is a major
component in runoff. Additionally, incorporation of groundwater
module also leads to wetter soil moisture and higher
evapotranspiration, especially in the wet seasons.}",
doi = {10.1002/hyp.13393},
adsurl = {https://ui.adsabs.harvard.edu/abs/2019HyPr...33.1218H},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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