Beate Klinger, Torsten Mayer-Gürr, Saniya Behzadpour, Matthias Ellmer, Andreas Kvas and Norbert Zehentner
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1 , Torsten Mayer-Gürr, Saniya Behzadpour, Matthias Ellmer, Andreas Kvas and Norbert Zehentner Institute of Geodesy NAWI Graz, Graz University of Technology
2 Outline ITSG-Grace2016 Processing details Unconstrained monthly solutions Summary & Conclusions 2
3 ITSG-Grace2016 Method: Variational equations 24h arc length 3h covariance length Input: GRACE Level-1B data from to ITSG orbit product (Zehentner et al. 2015) Improved satellite attitude (Klinger et al. 2014) Unconstrained monthly solutions: Degree 60, 90, 120 Full normal equations in SINEX format are published Daily Kalman smoothed solutions: Degree 40 3
4 Background models: Third body forces: JPL DE421 Solid earth tides: IERS 2010 Pole tides: IERS 2010 Ocean tides: EOT11a Ocean pole tides: Desai 2004 Atmospheric tides: Van Dam & Ray 2010 Dealiasing: ITSG-Grace2016 AOD1B RL05 Relativistic effects: IERS 2010 Restored models: Static field: Trend, Annual: GOCO05s GOCO05s Non-gravity parameters: Once per day: satellite state vector Once per day: Once per day: accelerometer bias per axis (basis splines) accelerometer scale factors 4
5 Processing details 5
6 Improvements since ITSG-Grace2014 Multiple improvements within the processing chain: 1) Updated background models 2) Instrument data screening 3) Improved accelerometer calibration 4) Improved numerical orbit integration 5) Improved covariance function estimation 6) Co-estimation of constrained daily variations: constraints based on improved error estimates for the dealiasing models 6
7 Data screening yaw turns (battery discharge) CoM calibration maneuver KBR calibration maneuver Exclusion of: Time periods around yaw-turns: based on inter-satellite pointing angles (yaw) CoM and KBR calibration maneuvers (SoE file) Threshold-based outlier detection: To detect large-scale outliers Based on ACC1B data & simulated ACC1B data Level-1B Yaw turns removed 7
8 Accelerometer calibration Accelerometer bias & scale factors: Two-step approach: a-priori calibration for data screening Calibration equation: with Main-diagonal elements Shear parameter Rotation parameter (1) Bias: Estimation: Parameterization: once per day uniform cubic basis splines (UCBS), with a 6h knot interval (2) Scale factors: Estimation: Parameterization: once per day fully-populated scale factor matrix Off-diagonal elements: non-orthogonality of accelerometer axes (cross-talk), misalignment between SRF and AF 8
9 Accelerometer calibration Temperature-dependent behavior (bias & scale factors) Parameterization significantly affects C20 coefficients Accelerations - ACC1B (calibrated according to TN-02) Temperature - AHK1B Bias offset Bias drift ACC cool down 9
10 Accelerometer calibration Temperature-dependent behavior (bias & scale factors) Parameterization significantly affects C20 coefficients 04/2011 thermal control stopped Paper on this topic in preparation! 10
11 Orbit integration Elliptical reference orbit replaces linear motions: Improved force model integration for dynamic orbit computation (Encke s method) Reduced processing artifacts in adjusted SST observations and residuals Thu, 17:30-19:30 Posters Hall X2 Matthias Ellmer & Torsten Mayer-Gürr: Numerically stable approach for high-precision orbit integration using Encke's method and equinoctial elements 11
12 Noise modeling covariance function Empirical covariance function: decorrelation of KBR range-rate data Robust covariance estimator: guarantees outlier-resistant covariance estimation ITSG2016 ITSG2014 Wed, 17:30-19:00 Posters Hall X3 Saniya Behzadpour, Torsten Mayer-Gürr & Jakob Flury: Robust estimation of error covariance functions in GRACE gravity field determination 12
13 Unconstrained monthly solutions 13
14 ITSG-Grace2016 Monthly Solutions Jan Feb Mar Apr May June July Aug Sep Oct Nov Dec 14
15 ITSG-Grace2016 Monthly Solutions Unconstrained monthly solutions: degree 60, 90 and 120 November 2013 Truncation effect 15
16 ITSG-Grace2016 Monthly Solutions Unconstrained monthly solutions: degree 60, 90 and 120 November
17 Variability over the Oceans Trend/Annual/Semiannual reduced (Gauß 300km) repeat orbits 17
18 Temporal RMS CSR RL05 - trend/sa/ssa (Gauß 300km) RMS =
19 Temporal RMS ITSG-Grace trend/sa/ssa (Gauß 300km) RMS =
20 Temporal RMS ITSG-Grace trend/sa/ssa (Gauß 300km) RMS =
21 Comparison of signals ITSG-Grace trend/sa/ssa (Gauß 300km) RMS =
22 Comparison of signals ITSG-Grace trend/sa/ssa (Gauß 300km) RMS =
23 Comparison of signals ITSG-Grace trend/sa/ssa (Gauß 300km) RMS =
24 C20 Temporal evolution 20
25 Summary & Conclusions 21
26 ITSG-Grace2016 Unconstrained monthly solutions: Degree 60, 90, 120 Full normal equations in SINEX format are published Daily Kalman smoothed solutions: Degree 40 New ITSG-Grace2016 Release available at: ifg.tugraz.at/itsg-grace
27 Conclusions ITSG-Grace2014 vs. ITSG-Grace2016: Improved processing contributes to overall accuracy of monthly gravity field solutions Noise reduction w.r.t. ITSG-Grace2014 in the order of 20% for n= % for n= % for n=40-90 Fully-populated scale factor matrix significantly improves C20 coefficients Wed, 17:30-19:00 Posters Hall X3 Martin Horwath, Andreas Groh & the EGSIEM Team: Evaluation of recent GRACE monthly solution series with an ice sheet perspective 23
28 Funding provided by: the Austrian Research Promotion Agency the European Union s Horizon 2020 research and innovative programme under grant agreement No HORIZON 2020
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