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MaSiS-3 Networking

MaSiS-3 Highlights ( Separation of Mass Signals by Common Inversion of Gravimetric and Geometric Observations). Mass variations within the atmosphere, oceans and continental hydrology are altogether visible in the integral signals of GRACE.

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MaSiS-3 Networking

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  1. MaSiS-3 Highlights(Separation of Mass Signals by Common Inversion of Gravimetric and Geometric Observations) Mass variations within the atmosphere, oceans and continental hydrology are altogether visible in the integralsignals of GRACE. • The separation of these signals into individual components is fundamental for understanding mass transport. • MaSiS was funded in the initial period of the • SPP1257. • During the two years disruption the general • objective of MaSiS was further on recognized • as a central theme of the SPP. • DGFI followed up this matter with as much • resources as possible (student worker). • Both, DGFI and GFZ work on alternative • strategies to process GRACE data for regional • application with high temporal resolution. • Thus, both partners should also work together • on the separation theme. • ). Principal components PCs (above) and empirical orthogonal functions EOFs (below) from a PCA of NCEP surface pressure for mode 1.

  2. MaSiS-3 Networking MaSiS contributes to • Theme 1: understanding the signals SPP internal exchange • Use of gravity field models from JIGOG (validation of the separation with in-situ OBP measurements) • Use of DAROTA/COTAGA ocean tide model for processing of the GRACE input data for the separation procedure • Comparison of the results with the improved hydrology model from CEMIG External exchanges/cooperations • Close cooperations with GFZ (A. Güntner, M. Thomas), AWI (J. Schröter), TUM (F. Seitz), Uni Hamburg (D. Stammer), ...

  3. MaSiS-3 Vision Geophysical Models Principal Component Analysis (PCA) GRACE Parameter Estimation • Separation of the GRACE signal by answering the following questions: • How to define the base functions? • EOFs for the spatial behavior of subsystems atmosphere, oceans and hydrology • B-spline expansions for the temporal evolution of the coefficients • Which input data shall be used? • GRACE (L2 and L1B), • GPS time series, • superconducting gravity meter data Flowchart for the separation of mass variations within GRACE observations by means of EOFs derived from geophysical models. The focus of MaSiS-3 is on a high temporal resolution using 7- and 10-days GRACE models as well as instantaneous GRACE L1B data

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