ivs gm 20061 january 10, 2006 interaction of atmosphere modeling and vlbi analysis strategy arthur...

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IVS GM 2006 1 January 10, 2006 Interaction of Atmosphere Modeling and VLBI Analysis Strategy Arthur Niell MIT Haystack Observatory

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Page 1: IVS GM 20061 January 10, 2006 Interaction of Atmosphere Modeling and VLBI Analysis Strategy Arthur Niell MIT Haystack Observatory

IVS GM 2006 1January 10, 2006

Interaction of Atmosphere Modeling

and VLBI Analysis Strategy

Arthur Niell

MIT Haystack Observatory

Page 2: IVS GM 20061 January 10, 2006 Interaction of Atmosphere Modeling and VLBI Analysis Strategy Arthur Niell MIT Haystack Observatory

IVS GM 2006 2January 10, 2006

Objectives

Show dependence of height errors/uncertainties on minimum elevation and latitude

Compare atmosphere mapping function errors Illustrate result of combining these errors Point out choices that need to be made

Note: the results to be shown are a guide, not necessarily the final answer.

Page 3: IVS GM 20061 January 10, 2006 Interaction of Atmosphere Modeling and VLBI Analysis Strategy Arthur Niell MIT Haystack Observatory

IVS GM 2006 3January 10, 2006

Height vs Minimum Elevation

Estimates of height are sensitive to the minimum elevation Both the mean value and the RMS scatter are affected Usually a single value for minimum elevation is chosen for

all sites

Two effects are strongly elevation dependent and compete in determining what minimum elevation should be adopted Better geometric precision is obtained by using lower

elevation data. Uncertainty in the atmosphere delay model encourages

higher minimum elevation.

Page 4: IVS GM 20061 January 10, 2006 Interaction of Atmosphere Modeling and VLBI Analysis Strategy Arthur Niell MIT Haystack Observatory

IVS GM 2006 4January 10, 2006

Height Uncertainty

Page 5: IVS GM 20061 January 10, 2006 Interaction of Atmosphere Modeling and VLBI Analysis Strategy Arthur Niell MIT Haystack Observatory

IVS GM 2006 5January 10, 2006

Relative Height Uncertaintyfrom Mapping Function

Page 6: IVS GM 20061 January 10, 2006 Interaction of Atmosphere Modeling and VLBI Analysis Strategy Arthur Niell MIT Haystack Observatory

IVS GM 2006 6January 10, 2006

Atmosphere Mapping FunctionTrade-off

Data-independent mapping functions: NMF needs only site position and date; easy to use. GMF is more accurate and precise version of NMF.

Data-dependent mapping functions:IMF and VMF1 require external input from Numerical Weather Model. IMF can be calculated for arbitrary site location for

any date since 1980 (good for GPS). VMF1 must be calculated for specific site locations,

but is available for all VLBI sites.

Page 7: IVS GM 20061 January 10, 2006 Interaction of Atmosphere Modeling and VLBI Analysis Strategy Arthur Niell MIT Haystack Observatory

IVS GM 2006 7January 10, 2006

1997-98 El Niño

Page 8: IVS GM 20061 January 10, 2006 Interaction of Atmosphere Modeling and VLBI Analysis Strategy Arthur Niell MIT Haystack Observatory

IVS GM 2006 8January 10, 2006

Height Equivalent Mean Errorfor 5° Minimum Elevation

Page 9: IVS GM 20061 January 10, 2006 Interaction of Atmosphere Modeling and VLBI Analysis Strategy Arthur Niell MIT Haystack Observatory

IVS GM 2006 9January 10, 2006

Height Equivalent Scatterfor 5° Minimum Elevation

Page 10: IVS GM 20061 January 10, 2006 Interaction of Atmosphere Modeling and VLBI Analysis Strategy Arthur Niell MIT Haystack Observatory

IVS GM 2006 10January 10, 2006

Height Equivalent Scatterfor Combined Hydro and Wet MFs

Page 11: IVS GM 20061 January 10, 2006 Interaction of Atmosphere Modeling and VLBI Analysis Strategy Arthur Niell MIT Haystack Observatory

IVS GM 2006 11January 10, 2006

Combine Geometry and Mapping Function

Uncertainties

Page 12: IVS GM 20061 January 10, 2006 Interaction of Atmosphere Modeling and VLBI Analysis Strategy Arthur Niell MIT Haystack Observatory

IVS GM 2006 12January 10, 2006

Combine Geometry and Mapping Function

Uncertainties

Page 13: IVS GM 20061 January 10, 2006 Interaction of Atmosphere Modeling and VLBI Analysis Strategy Arthur Niell MIT Haystack Observatory

IVS GM 2006 13January 10, 2006

Page 14: IVS GM 20061 January 10, 2006 Interaction of Atmosphere Modeling and VLBI Analysis Strategy Arthur Niell MIT Haystack Observatory

IVS GM 2006 14January 10, 2006

Conclusions

From comparison with radiosondes, VMF1 is the most precise mapping function for both hydrostatic and wet.

The best precision for azimuthally symmetric mapping functions is obtained with VMF1 and minimum elevation 5° - 7.5°.

For minimum elevation >7°, the difference in height uncertainty between IMF and VMF1 is less than 1 mm.

For accuracy over long time, e.g. years (TRF), all but NMF are comparable.

Page 15: IVS GM 20061 January 10, 2006 Interaction of Atmosphere Modeling and VLBI Analysis Strategy Arthur Niell MIT Haystack Observatory

IVS GM 2006 15January 10, 2006

Recommendations

Use either VMF1 or IMF in order to model geophysical variations in atmosphere.

Use VMF1 with a minimum elevation of 5°. If using NMF or GMF, use minimum

elevation of 7.5°. Do analysis for current schedules.

(Minimum elevation may vary with date of session, as well as antenna.)

Page 16: IVS GM 20061 January 10, 2006 Interaction of Atmosphere Modeling and VLBI Analysis Strategy Arthur Niell MIT Haystack Observatory

IVS GM 2006 16January 10, 2006

Page 17: IVS GM 20061 January 10, 2006 Interaction of Atmosphere Modeling and VLBI Analysis Strategy Arthur Niell MIT Haystack Observatory

IVS GM 2006 17January 10, 2006

Site specific phase correction

Page 18: IVS GM 20061 January 10, 2006 Interaction of Atmosphere Modeling and VLBI Analysis Strategy Arthur Niell MIT Haystack Observatory

IVS GM 2006 18January 10, 2006

Site specific phase correction