1. VieVS User Workshop 14 – 16 September, 2011 Vienna VIE_LSM Kamil Teke and Johannes Böhm

2. VieVS User Workshop 20112 Introduction vie_lsm is a module of VieVS, which estimates geodetic parameters with least squares adjustment from VLBI observations. Estimated parameters are: quadratic polynomial coefficients of clocks (offset in cm, rate in cm/day, and quadratic term in cm/day 2 ) plus continuous piecewise linear offsets (CPWLO) of clocks in cm, zenith wet delay (ZWD) CPWLO in cm, troposphere north and east gradients CPWLO in cm, Earth orientation parameters (EOP) CPWLO in mas and ms, TRF coordinates of antennas in cm (CPWLO or one offset per session), CRF coordinates of sources as CPWLO in mas. Since, the standard deviations of observations are so small, 1 cm added before weights are formed. Weight matrix of observations is diagonal (units are in 1/cm 2 ). Currently, no down weighting is applied due to elevation angles of the observations.

3. VieVS User Workshop 20113 Introduction estimates constrained (relative or absolute) to zero with a large or a small standard deviation (loose or tight). This is due to connect the parameters which have no observation in the corresponding estimation interval. Realistic standard deviations should be assigned to the constraints. If not then outlier observations in small number in an estimation interval will cause unrealtistic estimates. offset(t+1) - offset(t) = 0 ± m c_rel  relative constraints Example: m c_rel = 30 mas/day  X pol CPWLO relative constraints are loose. m c_rel = 0.001 mas/day  X pol CPWLO relative constraints are tight. offset(t) = 0 ± m c_abs  absolute constraints Example: m c_abs = 2 mm  Troposphere east gradients absolute constraints are loose. m c_abs = 0.01 mm  Troposphere east gradients absolute constraints are tight.

4. Continuous piece-wise linear offset functions (CPWLO) VieVS User Workshop 20114

5. 5 are the estimated offsets of a parameter at epochs and e.g. ΔUT1 is the estimated parameter at epochs 15:00 and 16:00 UTC Partial derivatives of the delay model w.r.t. a sub-daily parameter to be estimated at consecutive epochs

6. VieVS User Workshop 20116 LS Adjustment 6 bc is a zero vector (due to NNT and NNR conditions design matrix of real observation equations design matrix of pseudo-observation equations (constraints) parameter vector (estimates) variance-covariance matrix of the estimates

7. VLBI clock error VieVS User Workshop 20117 quadratic polynomial for each clock CPWLO for each clock e.g. at each UTC integer hour (t 1 and t 2 ) total clock error at epoch t

8. Modeling clock breaks VieVS User Workshop 20118

9. Troposphere delay VieVS User Workshop 20119 reduced from observations a priori to the adjustment estimated

10. VIE_LSM GUIs VieVS User Workshop 201110

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16. VIE_LSM GUIs VieVS User Workshop 201116

17. VIE_LSM GUIs VieVS User Workshop 201117

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20. VIE_LSM GUIs VieVS User Workshop 201120 Hana will talk about this GUI

21. VieVS User Workshop 201121 Thank you so much for your attention!