Period
01.01.2023 – 31.12.2025
Funding Agency
DFG (Deutsche Forschungsgemeinschaft)
Contacts
Prof. Dr.-Ing. Jürgen Kusche
Dr.-Ing. Anne Springer
M.Sc. Christian Mielke
Summary
In this project, together with colleagues from the Department of Meteorology at the University of Bonn, we focus on improving our understanding of atmospheric mass redistribution and the errors in atmospheric simulations. We investigate sub-monthly variability in the coupled atmospheric-terrestrial hydrological cycle, and we assess the potential of hydrology model simulations to improve the de-aliasing of GRACE and GRACE-FO level-1 data. Research objectives are:
- Improve methods for validation
- Address systematic and random errors in atmospheric background models, including small-scale
processes
- Understand how hydrometeorological extreme events map into L1/2 data
- Make recommendations to next generation gravity missions (NGGMs) and climate community
This project has already generated a consistent global data set of atmospheric-hydrological mass variation with improved spatio-temporal resolution over Europe: https://dataservices.gfz-potsdam.de/panmetaworks/showshort.php?id=c5848a57-af0b-11ed-95b8-f851ad6d1e4b
HIRABAM is an individual project of the DFG research unit NEROGRAV. The research group develops since the start of phase 1 in May 2019 new analysis methods and modeling approaches to improve GRACE and GRACE-FO mission data analysis and focuses on geophysical applications that benefit from significantly reduced error levels in the time series of monthly gravity fields. Phase 1 lasted till April 2022.
The second phase started in January 2023. The central hypothesis of the research group is:
“Only by concurrently improving and better understanding of sensor data, background models, and processing strategies of satellite gravimetry, the resolution, accuracy, and long-term consistency of mass transport series can be significantly increased; the science return in various fields of application improved and the potential of future technological sensor developments fully exploited.”
More information, please visit the website: https://www.asg.ed.tum.de/iapg/nerograv/
