Mon Oct 13, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Massoud, Elias, Turmon, Michael, Reager, John, Hobbs, Jonathan, Liu, Zhen, and David, Cédric H., 2020. Cascading Dynamics of the Hydrologic Cycle in California Explored through Observations and Model Simulations. Geosciences, 10(2):71, doi:10.3390/geosciences10020071.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2020Geosc..10...71M,
author = {{Massoud}, Elias and {Turmon}, Michael and {Reager}, John and {Hobbs}, Jonathan and {Liu}, Zhen and {David}, C{\'e}dric H.},
title = "{Cascading Dynamics of the Hydrologic Cycle in California Explored through Observations and Model Simulations}",
journal = {Geosciences},
keywords = {drought, hydrologic cycle, GRACE, NLDAS, water depletion, California},
year = 2020,
month = feb,
volume = {10},
number = {2},
eid = {71},
pages = {71},
abstract = "{As drought occurs in a region it can have cascading effects through the
water cycle. In this study, we explore the temporal co-evolution
of various components of the hydrologic cycle in California from
2002 to 2018. We combine information from the Gravity Recovery
and Climate Experiment (GRACE) satellites, the North American
Land Data Assimilation System (NLDAS) suite of models, and the
California Department of Water Resources (DWR) reservoir levels
to analyze dynamics of Total Water Storage (TWS), soil moisture,
snow pack, large reservoir storage, and ultimately, groundwater.
For TWS, a trend of -2 cm/yr is observed during the entire time
period of our analysis; however, this rate increases to about -5
cm/yr during drought periods (2006-2010 and 2012-2016). Results
indicate that the majority of the loss in TWS is caused by
groundwater depletion. Using proper error accounting, we are
able to identify the start, the peak, and the ending of the
drought periods for each individual water state variable in the
study domain. We show that snow and soil moisture are impacted
earlier and recover faster than surface water and groundwater.
The annual and year-to-year dynamics shown in our results
portray a clear cascading effect of the hydrologic cycle on the
scale of 8-16 months.}",
doi = {10.3390/geosciences10020071},
adsurl = {https://ui.adsabs.harvard.edu/abs/2020Geosc..10...71M},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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