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The GCMD vocabulary is developed and maintained by:
Olsen, L.M., G. Major, K. Shein, J. Scialdone, S. Ritz, T. Stevens, M. Morahan, A. Aleman, R. Vogel, S. Leicester, H. Weir, M. Meaux, S. Grebas, C.Solomon, M. Holland, T. Northcutt, R. A. Restrepo, R. Bilodeau, 2013. NASA/Global Change Master Directory (GCMD) Earth Science Keywords. Version 8.0.0.0.0 ← back Released Dataset ITSG-Grace2018 - Monthly, Daily and Static Gravity Field Solutions from GRACE Cite as: Copy citation to clipboard Mayer-Gürr, Torsten; Behzadpur, Saniya; Ellmer, Matthias; Kvas, Andreas; Klinger, Beate; Strasser, Sebastian; Zehentner, Norbert (2018): ITSG-Grace2018 - Monthly, Daily and Static Gravity Field Solutions from GRACE. GFZ Data Services. https://doi.org/10.5880/ICGEM.2018.003 Status I N R E V I E W : Mayer-Gürr, Torsten; Behzadpur, Saniya; Ellmer, Matthias; Kvas, Andreas; Klinger, Beate; Strasser, Sebastian; Zehentner, Norbert (2018): ITSG-Grace2018 - Monthly, Daily and Static Gravity Field Solutions from GRACE. GFZ Data Services. https://doi.org/10.5880/ICGEM.2018.003
Abstract The ITSG-Grace2018 gravity field model is the latest GRACE-only gravity field model computed at Graz University of Technology, providing unconstrained monthly and regularized daily solutions as well as a long-term static field. For each month of the observation period, sets of spherical harmonic coefficients for different maximum degrees (60, 96, 120) were estimated without applying any regularization.
In order to resolve high-frequency gravity field variations as detailed as possible, a set of spherical harmonic coefficients up to degree and order 40 was co-estimated. K-band range rates with a sampling of 5 seconds and kinematic orbits with a sampling of 5 minutes were used as observations. The kinematic orbits of the GRACE satellites (Zehentner and Mayer-Gürr 2013, 2014) were processed using the GPS orbits and clock solutions provided by CODE. Additionally, a full accelerometer scale factor matrix was estimated per day (Klinger and Mayer-Gürr, 2016). The accelerometer bias was modelled through cubic splines with a node interval of six hours and estimated for each axis and day. Detailed information about ITSG-Grace2018 is available at http://ifg.tugraz.at/ITSG-Grace2018. The monthly and daily data covers the period between April 2002 and August 2016.
Methods Monthly solutions:
product_type gravity_field
modelname ITSG-Grace2018_nLL_YYYY-MM
earth_gravity_constant 3.9860044150e+14
radius 6.3781363000e+06
max_degree LL errors formal
norm fully_normalized
tide_system zero_tide
Daily solutions:
product_type gravity_field
modelname ITSG-Grace2018_n40_YYYY-MM-DD
earth_gravity_constant 3.9860044150e+14
radius 6.3781363000e+06
max_degree 40
errors formal
norm fully_normalized
tide_system zero_tide
Static Field:
product_type gravity_field
modelname ITSG-Grace2018s
earth_gravity_constant 3.9860044150e+14
radius 6.3781363000e+06
max_degree 200
errors formal
norm fully_normalized
tide_system zero_tide
Authors Mayer-Gürr, Torsten ;Graz University of Technology, Graz, AustriaBehzadpur, Saniya ;Graz University of Technology, Graz, AustriaEllmer, Matthias ;Graz University of Technology, Graz, AustriaKvas, Andreas ;Graz University of Technology, Graz, AustriaKlinger, Beate ;Graz University of Technology, Graz, AustriaStrasser, Sebastian ;Graz University of Technology, Graz, AustriaZehentner, Norbert;Graz University of Technology, Graz, Austria Contact Contributors Ince, Sinem; Reißland, Sven
Keywords GRACE, ICGEM, gravity field, temporal gravity field models More Metadata datacite:
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In order to resolve high-frequency gravity field variations as detailed as possible, a set of spherical harmonic coefficients up to degree and order 40 was co-estimated. K-band range rates with a sampling of 5 seconds and kinematic orbits with a sampling of 5 minutes were used as observations. The kinematic orbits of the GRACE satellites (Zehentner and Mayer-Gürr 2013, 2014) were processed using the GPS orbits and clock solutions provided by CODE. Additionally, a full accelerometer scale factor matrix was estimated per day (Klinger and Mayer-Gürr, 2016). The accelerometer bias was modelled through cubic splines with a node interval of six hours and estimated for each axis and day. Detailed information about ITSG-Grace2018 is available at http://ifg.tugraz.at/ITSG-Grace2018. 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product_type gravity_field
modelname ITSG-Grace2018_nLL_YYYY-MM
earth_gravity_constant 3.9860044150e+14
radius 6.3781363000e+06
max_degree LL errors formal
norm fully_normalized
tide_system zero_tide
Daily solutions:
product_type gravity_field
modelname ITSG-Grace2018_n40_YYYY-MM-DD
earth_gravity_constant 3.9860044150e+14
radius 6.3781363000e+06
max_degree 40
errors formal
norm fully_normalized
tide_system zero_tide
Static Field:
product_type gravity_field
modelname ITSG-Grace2018s
earth_gravity_constant 3.9860044150e+14
radius 6.3781363000e+06
max_degree 200
errors formal
norm fully_normalized
tide_system zero_tide schema.org
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Dataset Description
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