(Table 1) Water storage changes of the 33 world's largest river basins between 2002-2009 ...
Global change in land water storage and its effect on sea level is estimated over a 7-year time span (August 2002 to July 2009) using space gravimetry data from GRACE. The 33 World largest river basins are considered. We focus on the year-to-year variability and construct a total land water storage...
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ftdatacite:10.1594/pangaea.786381 2024-09-15T18:14:50+00:00 (Table 1) Water storage changes of the 33 world's largest river basins between 2002-2009 ... Llovel, William Becker, Melanie Cazenave, Anny Crétaux, Jean-François Ramillien, Guillaume 2010 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.786381 https://doi.pangaea.de/10.1594/PANGAEA.786381 en eng PANGAEA https://dx.doi.org/10.1016/j.crte.2009.12.004 Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 ipy ORDINAL NUMBER River Area Water storage, trend Error, absolute GRACE satellite data, processed International Polar Year 2007-2008 IPY dataset Supplementary Dataset Dataset 2010 ftdatacite https://doi.org/10.1594/pangaea.78638110.1016/j.crte.2009.12.004 2024-08-01T11:01:20Z Global change in land water storage and its effect on sea level is estimated over a 7-year time span (August 2002 to July 2009) using space gravimetry data from GRACE. The 33 World largest river basins are considered. We focus on the year-to-year variability and construct a total land water storage time series that we further express in equivalent sea level time series. The short-term trend in total water storage adjusted over this 7-year time span is positive and amounts to 80.6 ± 15.7 km**3/yr (net water storage excess). Most of the positive contribution arises from the Amazon and Siberian basins (Lena and Yenisei), followed by the Zambezi, Orinoco and Ob basins. The largest negative contributions (water deficit) come from the Mississippi, Ganges, Brahmaputra, Aral, Euphrates, Indus and Parana. Expressed in terms of equivalent sea level, total water volume change over 2002-2009 leads to a small negative contribution to sea level of -0.22 ± 0.05 mm/yr. The time series for each basin clearly show that ... : GRACE data (RL04) were processed by D. P. Chambers, supported by the NASA Earth Science REASoN GRACE Project, and are available at: http://gracetellus.jpl.nasa.gov/data/. Further information can be found at: http://grace.jpl.nasa.gov/relatedSites/. Data extracted in the frame of a joint ICSTI/PANGAEA IPY effort, see http://doi.pangaea.de/10.1594/PANGAEA.150150 ... Dataset International Polar Year IPY DataCite |
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language |
English |
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ipy ORDINAL NUMBER River Area Water storage, trend Error, absolute GRACE satellite data, processed International Polar Year 2007-2008 IPY |
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ipy ORDINAL NUMBER River Area Water storage, trend Error, absolute GRACE satellite data, processed International Polar Year 2007-2008 IPY Llovel, William Becker, Melanie Cazenave, Anny Crétaux, Jean-François Ramillien, Guillaume (Table 1) Water storage changes of the 33 world's largest river basins between 2002-2009 ... |
topic_facet |
ipy ORDINAL NUMBER River Area Water storage, trend Error, absolute GRACE satellite data, processed International Polar Year 2007-2008 IPY |
description |
Global change in land water storage and its effect on sea level is estimated over a 7-year time span (August 2002 to July 2009) using space gravimetry data from GRACE. The 33 World largest river basins are considered. We focus on the year-to-year variability and construct a total land water storage time series that we further express in equivalent sea level time series. The short-term trend in total water storage adjusted over this 7-year time span is positive and amounts to 80.6 ± 15.7 km**3/yr (net water storage excess). Most of the positive contribution arises from the Amazon and Siberian basins (Lena and Yenisei), followed by the Zambezi, Orinoco and Ob basins. The largest negative contributions (water deficit) come from the Mississippi, Ganges, Brahmaputra, Aral, Euphrates, Indus and Parana. Expressed in terms of equivalent sea level, total water volume change over 2002-2009 leads to a small negative contribution to sea level of -0.22 ± 0.05 mm/yr. The time series for each basin clearly show that ... : GRACE data (RL04) were processed by D. P. Chambers, supported by the NASA Earth Science REASoN GRACE Project, and are available at: http://gracetellus.jpl.nasa.gov/data/. Further information can be found at: http://grace.jpl.nasa.gov/relatedSites/. Data extracted in the frame of a joint ICSTI/PANGAEA IPY effort, see http://doi.pangaea.de/10.1594/PANGAEA.150150 ... |
format |
Dataset |
author |
Llovel, William Becker, Melanie Cazenave, Anny Crétaux, Jean-François Ramillien, Guillaume |
author_facet |
Llovel, William Becker, Melanie Cazenave, Anny Crétaux, Jean-François Ramillien, Guillaume |
author_sort |
Llovel, William |
title |
(Table 1) Water storage changes of the 33 world's largest river basins between 2002-2009 ... |
title_short |
(Table 1) Water storage changes of the 33 world's largest river basins between 2002-2009 ... |
title_full |
(Table 1) Water storage changes of the 33 world's largest river basins between 2002-2009 ... |
title_fullStr |
(Table 1) Water storage changes of the 33 world's largest river basins between 2002-2009 ... |
title_full_unstemmed |
(Table 1) Water storage changes of the 33 world's largest river basins between 2002-2009 ... |
title_sort |
(table 1) water storage changes of the 33 world's largest river basins between 2002-2009 ... |
publisher |
PANGAEA |
publishDate |
2010 |
url |
https://dx.doi.org/10.1594/pangaea.786381 https://doi.pangaea.de/10.1594/PANGAEA.786381 |
genre |
International Polar Year IPY |
genre_facet |
International Polar Year IPY |
op_relation |
https://dx.doi.org/10.1016/j.crte.2009.12.004 |
op_rights |
Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 |
op_doi |
https://doi.org/10.1594/pangaea.78638110.1016/j.crte.2009.12.004 |
_version_ |
1810452621305053184 |