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Updating ESA’s Earth System Model for Gravity Mission Simulation Studies : 2. Comparison with the Original Model

Bergmann-Wolf, I., Dill, R., Forootan, E., Klemann, V., Kusche, J., Sasgen, I., Dobslaw, H. (2014): Updating ESA’s Earth System Model for Gravity Mission Simulation Studies: 2. Comparison with the Original Model, (Scientific Technical Report ; 14/08), Potsdam : Deutsches GeoForschungsZentrum GFZ, 57 p.
DOI: http://doi.org/10.2312/GFZ.b103-14088



http://gfzpublic.gfz-potsdam.de/pubman/item/escidoc:551892
Resources

1408.pdf
(Publisher version), 31MB

http://doi.org/10.5880/GFZ.1.3.2014.001
(Supplementary material)

Authors
http://gfzpublic.gfz-potsdam.de/cone/persons/resource/ingab

Bergmann-Wolf ,  I.
Scientific Technical Report STR, Deutsches GeoForschungsZentrum;
1.3 Earth System Modelling, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

http://gfzpublic.gfz-potsdam.de/cone/persons/resource/dill

Dill ,  R.
Scientific Technical Report STR, Deutsches GeoForschungsZentrum;
1.3 Earth System Modelling, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Forootan ,  E.

http://gfzpublic.gfz-potsdam.de/cone/persons/resource/volkerk

Klemann ,  Volker
Scientific Technical Report STR, Deutsches GeoForschungsZentrum;
1.3 Earth System Modelling, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

http://gfzpublic.gfz-potsdam.de/cone/persons/resource/jkusche

Kusche ,  Jürgen
Scientific Technical Report STR, Deutsches GeoForschungsZentrum;
External Organizations;

http://gfzpublic.gfz-potsdam.de/cone/persons/resource/sasgen

Sasgen ,  I.
Scientific Technical Report STR, Deutsches GeoForschungsZentrum;
1.3 Earth System Modelling, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

http://gfzpublic.gfz-potsdam.de/cone/persons/resource/dobslaw

Dobslaw ,  H.
Scientific Technical Report STR, Deutsches GeoForschungsZentrum;
1.3 Earth System Modelling, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Abstract
The ability of any satellite gravity mission concept to monitor mass transport processes in the Earth system is typically tested well ahead of its implementation by means of various simulation studies. Those studies often extend from the simulation of realistic orbits and instrumental data all the way down to the retrieval of global gravity field solution time-series. Basic requirement for all these simulations are realistic representations of the spatio-temporal mass variability in the different sub-systems of the Earth, as a source model for the orbit computations. For such simulations, a suitable source model is required to represent (i) high-frequency (i.e., sub-daily to weekly) mass variability in the atmosphere and oceans, in order to realistically include the effects of temporal aliasing due to non-tidal high-frequency mass variability into the retrieved gravity fields. In parallel, (ii) low-frequency (i.e., monthly to interannual) variability needs to be modelled with realistic amplitudes, particularly at small spatial scales, in order to assess to what extent a new mission concept might provide further insight into physical processes currently not observable. The new source model documented here attempts to fulfil both requirements: Based on ECMWF’s recent atmospheric reanalysis ERA-Interim and corresponding simulations from numerical models of the other Earth system components, it offers spherical harmonic coefficients of the time-variable global gravity field due to mass variability in atmosphere, oceans, the terrestrial hydrosphere including the ice-sheets and glaciers, as well as the solid Earth. Simulated features range from sub-daily to multiyear periods with a spatial resolution of spherical harmonics degree and order 180 over a period of 12 years. In addition to the source model, a de-aliasing model for atmospheric and oceanic high-frequency variability with augmented systematic and random noise is required for a realistic simulation of the gravity field retrieval process, whose necessary error characteristics are discussed. The documentation is organized as follows: The characteristics of the updated ESM along with some basic validation are presented in Volume 1 of this report (Dobslaw et al., 2014). A detailed comparison to the original ESA ESM (Gruber et al., 2011) is provided in Volume 2 (Bergmann-Wolf et al., 2014), while Volume 3 (Forootan et al., 2014) contains a description of the strategy to derive a realistically noisy de-aliasing model for the high-frequency mass variability in atmosphere and oceans. The files of the updated ESA Earth System Model for gravity mission simulation studies are accessible at DOI:10.5880/GFZ.1.3.2014.001.