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**Harvard**

Gingsjö, H. (2018) *Modelling and Simulation of Tropospheric Water Vapour With Gaussian Random Fields-Time dependence beyond the frozen flow hypothesis*. Göteborg : Chalmers University of Technology

** BibTeX **

@mastersthesis{

Gingsjö2018,

author={Gingsjö, Henrik},

title={Modelling and Simulation of Tropospheric Water Vapour With Gaussian Random Fields-Time dependence beyond the frozen flow hypothesis},

abstract={One of the major sources of error in Very Long Baseline Interferometry (VLBI)
is signal delay due to tropospheric water vapour. Turbulent convection makes it
inherently unpredictable and it must therefore be measured directly or modelled
stochastically. In particular, realizations of delay signals are necessary to simulate
the performance of existing and future VLBI networks which, in turn, is needed to
optimize them and reduce errors.
In previous work, modelling of tropospheric delay has been performed only on the
spatial structure of refractivity through phenomenological second order statistics
derived from Kolmogorov theory. Time dependence has been introduced exclusively
through the frozen-flow hyporthesis.
In this thesis, refractivity fields are modelled as Gaussian random fields. Efficient
software is implemented to generate realizations of such fields sampled on a 3D grid.
To achieve realistic time evolution of such gridded fields, it turns out to be both
necessary and natural to introduce intrinsic time dependence beyond the frozen-flow
hypothesis. Such time dependence can easily be made compatible with the temporal
structure of Kolmogorov turbulence.
The novel contributions of this thesis are methods of obtaining two kinds of time
dependence for refractivity fields beyond the frozen-flow hypothesis. Firstly: Intrinsic
time dependence compatible with Kolmogorov theory. Secondly: Translation by
horizontal wind with arbitrary height and time dependence. The latter may provide
a more realistic description of the planetary boundary layer which has strong wind
shear and contains about 15% of the total water vapour; corresponding to delays of
several centimetres.},

publisher={Institutionen för rymd-, geo- och miljövetenskap, Chalmers tekniska högskola},

place={Göteborg},

year={2018},

keywords={tropospheric turbulence, wet tropospheric delay, frozen-flow hypothesis,},

note={53},

}

** RefWorks **

RT Generic

SR Electronic

ID 255146

A1 Gingsjö, Henrik

T1 Modelling and Simulation of Tropospheric Water Vapour With Gaussian Random Fields-Time dependence beyond the frozen flow hypothesis

YR 2018

AB One of the major sources of error in Very Long Baseline Interferometry (VLBI)
is signal delay due to tropospheric water vapour. Turbulent convection makes it
inherently unpredictable and it must therefore be measured directly or modelled
stochastically. In particular, realizations of delay signals are necessary to simulate
the performance of existing and future VLBI networks which, in turn, is needed to
optimize them and reduce errors.
In previous work, modelling of tropospheric delay has been performed only on the
spatial structure of refractivity through phenomenological second order statistics
derived from Kolmogorov theory. Time dependence has been introduced exclusively
through the frozen-flow hyporthesis.
In this thesis, refractivity fields are modelled as Gaussian random fields. Efficient
software is implemented to generate realizations of such fields sampled on a 3D grid.
To achieve realistic time evolution of such gridded fields, it turns out to be both
necessary and natural to introduce intrinsic time dependence beyond the frozen-flow
hypothesis. Such time dependence can easily be made compatible with the temporal
structure of Kolmogorov turbulence.
The novel contributions of this thesis are methods of obtaining two kinds of time
dependence for refractivity fields beyond the frozen-flow hypothesis. Firstly: Intrinsic
time dependence compatible with Kolmogorov theory. Secondly: Translation by
horizontal wind with arbitrary height and time dependence. The latter may provide
a more realistic description of the planetary boundary layer which has strong wind
shear and contains about 15% of the total water vapour; corresponding to delays of
several centimetres.

PB Institutionen för rymd-, geo- och miljövetenskap, Chalmers tekniska högskola,PB Institutionen för rymd-, geo- och miljövetenskap, Onsala rymdobservatorium, Chalmers tekniska högskola,

LA eng

LK http://publications.lib.chalmers.se/records/fulltext/255146/255146.pdf

OL 30