2026-07-21T04:09:29Zhttp://doidb.wdc-terra.org/oaip/oai
oai:doidb.wdc-terra.org:77722026-06-10T10:24:29ZDOIDBDOIDB.GFZ
false4DOIDB.GFZ 10.5880/nerograv.2023.004 Shihora, Linus Linus Shihora 0000-0003-2459-6606 GFZ German Research Centre for Geosciences, Potsdam, Germany Balidakis, Kyriakos Kyriakos Balidakis 0000-0002-3370-1300 GFZ German Research Centre for Geosciences, Potsdam, Germany Dill, Robert Robert Dill 0000-0002-9596-267X GFZ German Research Centre for Geosciences, Potsdam, Germany Dobslaw, Henryk Henryk Dobslaw 0000-0003-1776-3314 GFZ German Research Centre for Geosciences, Potsdam, Germany AOe07 Variance-Covariance-Matrix GFZ Data Services 2023 Satellite Gravimetry De-Aliasing Mass Variability Error Estimation Earth Observation Satellites > NASA Earth System Science Pathfinder > GRACE EARTH SCIENCE > SOLID EARTH > GRAVITY/GRAVITATIONAL FIELD > GRAVITATIONAL FIELD EARTH SCIENCE > SOLID EARTH > GRAVITY/GRAVITATIONAL FIELD > GRAVITY EARTH SCIENCE SERVICES > MODELS > ATMOSPHERIC GENERAL CIRCULATION MODELS EARTH SCIENCE SERVICES > MODELS > OCEAN GENERAL CIRCULATION MODELS (OGCM)/REGIONAL OCEAN MODELS Models/Analyses > REANALYSIS MODELS Shihora, Linus GFZ German Research Centre for Geosciences, Potsdam, Germany Dataset 10.1175/JCLI-D-16-0758.1 10.24381/cds.adbb2d47 10.5880/GFZ.1.3.2022.003 2.0 CC BY 4.0 The Atmosphere and Ocean non-tidal De-aliasing Level-1B (AOD1B) product is widely used in satellite gravimetry to correct for transient effects of atmosphere-ocean mass variability that would otherwise alias into monthly-mean global gravity fields. The most recent release is based on the global ERA5 reanalysis and ECMWF operational data together with simulations from the general ocean circulation model MPIOM consistently forced with fields of the same atmospheric data-set.

As background models are inevitably imperfect, residual errors due to aliasing remain. Accounting for the uncertainties of the background model data has, however, proven to be a useful approach to mitigate the impact of residual aliasing. In light of the changes made in the new release of AOD1B, previous uncertainty assessments are deemed too pessimistic and have been revised in the new time-series of true errors: AOe07.

One possible way to include the uncertainty information of background models in gravity field estimation or simulation studies is through the computation and application of a variance-covariance matrix that describes the spatio-temporal error characteristics of the background model. The AOe07 variance-covariance-matrix provides this information through (1) a fully populated matrix up to degree and order 40 as well as (2) a diagonal matrix up to degree and order 180.
Version history

14 July 2023: release of version 1.0

12 October 2023: exchange of one file after error correction. We fixed an index-error that resulted in the miss-calculation of some of the S-coefficients in the covariance matrix. All the C-coefficients remain unchanged.
-180 180 -90 90 European Space Agency http://doi.org/10.13039/501100000844 4000135530 GRACE-FO TPM Deutsche Forschungsgemeinschaft http://doi.org/10.13039/501100001659 DO 1311/4-2 NEROGRAV