Assimilation of Ground-based GPS Slant-Path Water Vapor Measurements and Its Impact on Short-Range Prediction of a Pre-frontal Squall Line: An OSSE Study
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J5.3 3DVAR Retrieval of 3D Moisture Field from Slant-path Water Vapor Observations of a High-resolution Hypothetical GPS Network
*It is very important to accurately characterize the three-dimensional distribution of water vapor in the atmosphere for the understanding and prediction of mesoscale and storm-scale weather, especially with regard to quantitative precipitation forecasting (Emanuel et al. 1995). Skills in these predictions have been improved rather slowly owing to the high spatial and temporal variability of wa...
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A three-dimensional variational (3DVAR) scheme is developed for retrieving three-dimensional moisture in the atmosphere from slant-path measurements of a hypothetical ground-based global positioning system (GPS) observation network. It is assumed that the observed data are in the form of slant-path water vapor (SWV), which is the integrated water vapor along the slant path between the ground re...
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1 1 Introduction Our original proposal proposed to work in the following areas: (a) Initial and boundary condition sensitivity studies and adjoint applications and development of ARPS 4DVAR; (b) Initialization and prediction of convective storms using 3DVAR and complex cloud analysis and the impact and refinement of cloud analysis procedures; (c) 3DVAR analysis and assimilation of GPS slant-pat...
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