English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Prospects for Imaging Terrestrial Water Storage in South America Using Daily GPS Observations

Ferreira, V., Ndehedehe, C., Montecino, H., Yong, B., Yuan, P., Abdalla, A., Mohammed, A. (2019): Prospects for Imaging Terrestrial Water Storage in South America Using Daily GPS Observations. - Remote Sensing, 11, 6, 679.
https://doi.org/10.3390/rs11060679

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Ferreira, Vagner1, Author
Ndehedehe, Christopher1, Author
Montecino, Henry1, Author
Yong, Bin1, Author
Yuan, Peng2, Author                 
Abdalla, Ahmed1, Author
Mohammed, Abubakar1, Author
Affiliations:
1External Organizations, ou_persistent22              
20 Pre-GFZ, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146023              

Content

show
hide
Free keywords: -
 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.

Details

show
hide
Language(s): eng - English
 Dates: 2019-03-212019
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.3390/rs11060679
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Remote Sensing
Source Genre: Journal, SCI, Scopus, OA
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 11 (6) Sequence Number: 679 Start / End Page: - Identifier: CoNE: https://gfzpublic.gfz.de/cone/journals/resource/journals426
Publisher: MDPI