variability of continental water storage and its relationship to extreme hydrological events in the amazon basin
Clicks: 113
ID: 160181
2013
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
113 views
21 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #36 of 47 articles by views in proceedings of 2017 3rd ieee international conference on sensing, signal processing and security, icsss 2017
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
In this paper, we evaluated the variability of total continental water storage derived from estimates of balance water using satellite data in association with hydro-meteorological data. The occurrence of extreme hydrological events such as drought and flood in the Amazon basin was related to the variability of total storage of continental water. Both estimation methods (PER- Precipitation, Evapotranspiration and Runoff and GRACE) show a strong decrease in water storage during the 2005 drought and a strong recovery during the 2009 flood. The results show that there is strong relationship between the occurrences of extreme hydrological events and water storage in the Amazon. Local and deep measurements of continental water storage can provide more precise indications of the dynamics of the hydrological system and its response to climate variability.
| Reference Key |
guedes2013revistavariability
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Ana Emília Diniz Silva Guedes;Luiz Antonio Cândido;Alessandro Renê Souza do Espírito Santo |
| Journal | proceedings of 2017 3rd ieee international conference on sensing, signal processing and security, icsss 2017 |
| Year | 2013 |
| DOI |
10.4136/ambi-agua.1137
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.