User: Guest  Login
Document type:
Forschungsdaten
Publication date:
26.09.2022
Responsible:
Schlaak, Marius
Authors:
Schlaak, Marius ; Pail, Roland
Author affiliation:
TUM
Publisher:
TUM
Title:
Simulation Results from Multi-decadal Satellite Gravity Simulations on Recoverability of Climate Trends in Next Generation Gravity Missions (NGGMs)
Identifier:
doi:10.14459/2022mp1639092
End date of data production:
20.12.2021
Subject area:
GEO Geowissenschaften
Other subject areas:
Physical Geodesy
Resource type:
Simulationen / simulations; Textdokumente / text documents
Data type:
Texte / texts
Description:
The simulation results are supplementary material to Schlaak et al. (in prep.) . The simulations are based on a modeled time series of global changes in soil moisture and snow coverage. The corresponding mass transport signal is obtained from future climate projections until the year 2100 following the shared socio-economic pathway scenario 5-8.5. For different mission concepts, including in-line single-pair missions and a Bender double-pair mission, the recoverability of a time variable mass s...     »
Method of data assessment:
The gravity field SH coefficients are computed from simulated observations based on given input gravity signals (representing the “true world”) and noise assumption regarding the key payload (intersatellite ranging, accelerometry) and errors in the background models. A standard least-squares Gauss-Markov model is set-up to the estimate the gravity field parameters. The parameter model co-parameterizes SH coefficients for linear trend and annual amplitudes of the respective simulation intervals.
Links:
This dataset relates to the publication: https://doi.org/10.1093/gji/ggac373
Key words:
Satellite Gravity Mission Simulations; First multi-decadal numerical closed-loop simulations ; Simulations on observing techniques of trends in Total terrestrial Water Storage (TWS); Next Generation Gravity Mission (NGGM); recoverability of long-term climate variability in TWS
Technical remarks:
View and download (81 MB total, 206 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1639092):
rsync rsync://m1639092@dataserv.ub.tum.de/m1639092/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
 BibTeX