IGS Analysis Center Workshop, Miami Beach, 2 - 6 June 2008 Comparison of GMF/GPT with VMF1/ECMWF and Implications for Atmospheric Loading Peter Steigenberger.

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IGS Analysis Center Workshop, Miami Beach, June 2008 Comparison of GMF/GPT with VMF1/ECMWF and Implications for Atmospheric Loading Peter Steigenberger Technische Universität München Johannes Boehm Institute of Geodesy and Geophysics, TU Vienna Volker Tesmer Deutsche Geodätisches Forschungsinstitut, München

IGS Analysis Center Workshop, Miami Beach, June 2008 Introduction State-of-the-art troposphere modeling is a prerequisite for the determination of precise station coordinates Troposphere modeling of the IGS Final ACs: -GMF/GPT: 6 ACs -a priori delays from numerical weather models: 2 ACs -VMF1: -- Comparison of GMF/GPT with VMF1/ECMWF Implications of tropospheric mismodeling for atmospheric loading

IGS Analysis Center Workshop, Miami Beach, June 2008 Troposphere Modeling

IGS Analysis Center Workshop, Miami Beach, June 2008 Troposphere Modeling Mapping functions: Global Mapping Functions (GMF) Vienna Mapping Functions 1 (VMF1) Hydrostatic a priori delays Global Pressure and Temperature (GPT) model Zenith delays from ECMWF weather model data

IGS Analysis Center Workshop, Miami Beach, June 2008 Gridded VMF1/ECMWF ZHD Global grids with 2.0° x 2.5° resolution: a h a w ZHD (ZWD) Available since 1992 at 0:00, 6:00, 12:00 and 18:00 UT Mapping Functions: Vienna Mapping Functions 1 A priori zenith delays:ECMWF Zenith Hydrostatic Delays ahah ZHD [m] awaw

IGS Analysis Center Workshop, Miami Beach, June 2008 GMF/GPT Mapping Functions: Global Mapping Function A priori zenith delays:Global Pressure and Temperature Model ahah ZHD [m] awaw ZHD computed from GPT-pressure with the hydrostatic Saastamoinen equation

IGS Analysis Center Workshop, Miami Beach, June 2008 Differences VMF1/ECMWF vs. GMF/GPT ahah ZHD [m] awaw

IGS Analysis Center Workshop, Miami Beach, June 2008 Global GPS Solutions (1) SolutionMapping FunctionA priori ZHD GMF/GPTGMFGPT VMF1/GPTVMF1GPT GMF/ECMWFGMFECMWF VMF1/ECMWFVMF1ECMWF -Altogether 202 stations altogether, up to 160 per day -Datum stations: subset of 66 stable IGb00 stations -Time interval: 1 January October 2005 (4322 days) Complete and homogeneous reprocessing by TU Munich/TU Dresden

IGS Analysis Center Workshop, Miami Beach, June 2008 Global GPS Solutions (2) 1-day normal equations Reduced normal equations GPS Reference Frame Time series Station coordinates, origin of the tracking network, pole coordinates Time series solution TRF/ERP solution simultaneous estimation of station coordinates, velocities and pole coordinates Pre-elimination of LOD

IGS Analysis Center Workshop, Miami Beach, June 2008 Reference Frame Differences Translation X0.18mm0.02mm/y Translation Y-0.07mm0.02mm/y Translation Z0.71mm-0.02mm/y Rotation X 0.01mas0.00mas/y Rotation Y0.00mas0.00mas/y Rotation Z0.00mas0.00mas/y Scale0.03ppb0.00ppb/y 14-parameter similarity transformation between GMF/GPT TRF and VMF1/ECMWF TRF

IGS Analysis Center Workshop, Miami Beach, June 2008 Coordinate residuals

IGS Analysis Center Workshop, Miami Beach, June 2008 Coordinate residuals

IGS Analysis Center Workshop, Miami Beach, June 2008 Impact of erroneous ZHD (1) Differences between the hydrostatic and wet mapping functions introduce a height error if an erroneous ZHD model is applied Zenith hydrostatic delay for Wuhan ECMWF GPT

IGS Analysis Center Workshop, Miami Beach, June 2008 Impact of erroneous ZHD (2) Station height differences ECMWF - GPT Atmospheric Loading (L. Petrov) → Partial compensation of atmospheric loading

IGS Analysis Center Workshop, Miami Beach, June 2008 Ideal Case Station height Atmospheric Loading Atm. Load. ZHD equal to loading signal

IGS Analysis Center Workshop, Miami Beach, June 2008 Erroneous ZHD Station height Atmospheric Loading Atm. Load. ZHD

IGS Analysis Center Workshop, Miami Beach, June 2008 Partial Compensation of Atmospheric Loading (1) Station height Atmospheric Loading Atm. Load. ZHD

IGS Analysis Center Workshop, Miami Beach, June 2008 Partial Compensation of Atmospheric Loading (2) Zenith hydrostatic delay: Atmospheric loading effect on station height: Without atmospheric loading correction we expect: worse height repeatability for ECMWF ZHDs compared to GPT → Partial compensation of atmospheric loading With atmospheric loading correction we expect: better height repeatability for ECMWF ZHDs compared to GPT

IGS Analysis Center Workshop, Miami Beach, June 2008 Station Height Repeatabilities SolutionTRF solutionWeekly sol GMF/GPT9.30 mm5.35 mm GMF/ECMWF9.41 mm5.46 mm VMF1/GPT9.12 mm5.15 mm VMF1/ECMWF9.38 mm5.28 mm of all stations without applying atmospheric loading corrections Mapping Function: VMF1 better than GMF A priori ZHD:GPT better than ECMWF

IGS Analysis Center Workshop, Miami Beach, June 2008 Station Height Repeatabilities GMFVMF1 GPTECMWFGPTECMWF reduced set of 12 globally distributed stations with/without atmospheric loading corrections from Leonid Petrov * Repeatabilities of solutions with GPT and ECMWF ZHDs are on almost the same level after correcting for atmospheric loading. Accuracy/consistency of atmospheric loading corrections? *

IGS Analysis Center Workshop, Miami Beach, June 2008 Comparison of PPP Solutions Jan Kouba (2008): Testing of Global Pressure/Temperature (GPT) Model and Global Mapping Function (GMF) in GPS analyses, Journal of Geodesy, accepted for publication, Tab. 6 augmented by VMF1/GPT Station GMF/GPTVMF1/ECMWFVMF1/GPT dHdH_aldHdH_aldHdH_al ALGO HARB KOKB KOUR MCM NYAL OHI TSK WTZR YAR YELL Mean GMF GPT VMF1 GPT VMF1 ECMWF

IGS Analysis Center Workshop, Miami Beach, June 2008 Recommendations Action Items 12a and 12b of the GGOS Unified Analysis Workshop Troposphere mapping functions: Use at least GMF (Global Mapping Functions, GMF hyd for the mapping of the a priori hydrostatic zenith delay and GMF wet for the estimation of the residual wet zenith delays), but preferably VMF1 (Vienna Mapping Functions 1) or any other mapping function based on data from numerical weather models. Use at least GPT (Global Pressure and Temperature) for the determination of the pressure. The pressure is input for the determination of the hydrostatic zenith delay (see Appendix of Davis et al 1985). Preferable to GPT would be the use of pressure values recorded at the sites if available or pressure values at six hour intervals from numerical weather models.

IGS Analysis Center Workshop, Miami Beach, June 2008 Conclusions Long-term differences between GMF/GPT and VMF1/ECMWF are in general -on the sub-millimeter level for the horizontal component -below 1 millimeter for the station heights (up to 2 mm for a few stations) There is a clear connection between the modeling of troposphere delays and atmospheric loading Therefore, VMF1 and a priori hydrostatic zenith delays with a 6 hours time resolution from numerical weather models have to be used to reveal atmosphere loading signals in the coordinate time series.

IGS Analysis Center Workshop, Miami Beach, June 2008

Global GPS Solutions (2) 1-day normal equations Reduced normal equations GPS Reference Frame Time series Station coordinates, origin of the tracking network, pole coordinates Time series solution TRF/ERP solution simultaneous estimation of station coordinates, velocities and pole coordinates Pre-elimination of LOD

IGS Analysis Center Workshop, Miami Beach, June 2008 Station Height Amplitude Differences Annual signal estimated for GMF/GPT and VMF1/ECMWF