Mon Oct 13, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Ferreira, Vagner G., Ndehedehe, Christopher E., Montecino, Henry C., Yong, Bin, Yuan, Peng, Abdalla, Ahmed, and Mohammed, Abubakar S., 2019. Prospects for Imaging Terrestrial Water Storage in South America Using Daily GPS Observations. Remote Sensing, 11(6):679, doi:10.3390/rs11060679.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2019RemS...11..679F,
author = {{Ferreira}, Vagner G. and {Ndehedehe}, Christopher E. and {Montecino}, Henry C. and {Yong}, Bin and {Yuan}, Peng and {Abdalla}, Ahmed and {Mohammed}, Abubakar S.},
title = "{Prospects for Imaging Terrestrial Water Storage in South America Using Daily GPS Observations}",
journal = {Remote Sensing},
keywords = {crustal deformation, drought, GPS, GRACE, hydrologic loading},
year = 2019,
month = mar,
volume = {11},
number = {6},
eid = {679},
pages = {679},
abstract = "{Few studies have used crustal displacements sensed by the Global
Positioning System (GPS) to assess the terrestrial water storage
(TWS), which causes loadings. Furthermore, no study has
investigated the feasibility of using GPS to image TWS over
South America (SA), which contains the world's driest (Atacama
Desert) and wettest (Amazon Basin) regions. This work presents a
resolution analysis of an inversion of GPS data over SA.
Firstly, synthetic experiments were used to verify the spatial
resolutions of GPS-imaged TWS and examine the resolving
accuracies of the inversion based on checkerboard tests and
closed-loop simulations using ``TWS'' from the Noah-driven
Global Land Data Assimilation System (GLDAS-Noah). Secondly,
observed radial displacements were used to image daily TWS. The
inverted results of TWS at a resolution of 300 km present
negligible errors, as shown by synthetic experiments involving
397 GPS stations across SA. However, as a result of missing
daily observations, the actual daily number of available
stations varied from 60-353, and only 6\% of the daily GPS-
imaged TWS agree with GLDAS-Noah TWS, which indicates a root-
mean-squared error (RMSE) of less than 100 kg/m2. Nevertheless,
the inversion shows agreement that is better than 0.50 and 61.58
kg/m2 in terms of the correlation coefficient (Pearson) and
RMSE, respectively, albeit at each GPS site.}",
doi = {10.3390/rs11060679},
adsurl = {https://ui.adsabs.harvard.edu/abs/2019RemS...11..679F},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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