Simulating high‐frequency atmosphere‐ocean mass variability for dealiasing of satellite gravity observations: AOD1B RL05

By H. Dobslaw, Frank Flechtner, I. Bergmann-Wolf, C. Dahle, R. Dill, S. Esselborn, I. Sasgen, Maik Thomas. 2013

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A new high-resolution model of non-tidal atmosphere and ocean mass variability for de-aliasing of satellite gravity observations: AOD1B RL06 (2017, methodology): “…Jungclaus et al. 2013) simulation with atmospheric forcing derived from ERA-40, ERAInterim and operational ECMWF data, respectively, which is particularly less affected by secular trends in OBP that previously persisted in both AOD1B RL04 (Dobslaw & Thomas 2007) and RL05 (Dobslaw et al. 2013).”
Quantifying and reducing leakage errors in the JPL RL05M GRACE mascon solution (2016, methodology): “Global monthly surface mass variations are created by adding together the CLM (Lawrence et al., 2011) (hydrology) and OMCT (Dobslaw et al., 2013) (ocean) models from January 2005 to December 2009 at 1 31 resolution.”
Continuity of the Mass Loss of the World's Glaciers and Ice Caps From the GRACE and GRACE Follow‐On Missions (2020, methodology): “The contribution of ocean mass change to monthly gravity anomaly is evaluated and removed by the processing centers prior to computing gravity field solutions using the Ocean Model for Circulation and Tides (OMCT) ocean general circulation model (Dobslaw et al., 2013).”