Articles | Volume 22, issue 5
https://doi.org/10.5194/hess-22-2867-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-22-2867-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Daily GRACE gravity field solutions track major flood events in the Ganges–Brahmaputra Delta
Ben T. Gouweleeuw
CORRESPONDING AUTHOR
GFZ German Research Centre for Geosciences, Section 5.4 Hydrology, 14473 Potsdam, Germany
Andreas Kvas
Graz University of Technology, Institute of Geodesy, 8010 Graz, Austria
Christian Gruber
GFZ German Research Centre for Geosciences, Section 5.4 Hydrology, 14473 Potsdam, Germany
Animesh K. Gain
Christian Albrecht University Kiel, Institute of Geography, Ludewig-Meyn-Str. 14, 24098 Kiel, Germany
Thorsten Mayer-Gürr
Graz University of Technology, Institute of Geodesy, 8010 Graz, Austria
Frank Flechtner
GFZ German Research Centre for Geosciences, Section 5.4 Hydrology, 14473 Potsdam, Germany
Andreas Güntner
GFZ German Research Centre for Geosciences, Section 5.4 Hydrology, 14473 Potsdam, Germany
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- Monitoring of extreme land hydrology events in central Poland using GRACE, land surface models and absolute gravity data J. Kuczynska-Siehien et al. 10.1515/jag-2019-0003
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Discussed (final revised paper)
Latest update: 14 Dec 2024
Short summary
Daily GRACE gravity field solutions have been evaluated against daily river runoff data for major flood events in the Ganges–Brahmaputra Delta in 2004 and 2007. Compared to the monthly gravity field solutions, the trends over periods of a few days in the daily gravity field solutions are able to reflect temporal variations in river runoff during major flood events. This implies that daily gravity field solutions released in near-real time may support flood monitoring for large events.
Daily GRACE gravity field solutions have been evaluated against daily river runoff data for...