Insar Water Vapor Data Assimilation Into Mesoscale Model
This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 1 InSAR Water Vapor Data Assimilation into Mesoscale Model MM5: Technique and Pilot Study Emanuela Pichelli, Rossella Ferretti, Domenico Cimini, Giulia Panegrossi, Daniele Perissin, Nazzareno Pierdicca, Senior Member, IEEE, Fabio Rocca, and Bjorn Rommen Abstract—In this study, a technique developed to retrieve inte- an extremely important element of the atmosphere because its grated water vapor from interferometric synthetic aperture radar distribution is related to clouds, precipitation formation, and it (InSAR) data is described, and a three-dimensional variational represents a large proportion of the energy budget in the atmo- assimilation experiment of the retrieved precipitable water vapor into the mesoscale weather prediction model MM5 is carried out. sphere. Its representation inside numerical weather prediction The InSAR measurements were available in the framework of the (NWP) models is critical to improve the weather forecast. It is European Space Agency (ESA) project for the “Mitigation of elec- also very challenging because water vapor is involved in pro- tromagnetic transmission errors induced by atmospheric water cesses over a wide range of spatial and temporal scales. An vapor effects” (METAWAVE), whose goal was to analyze and pos- improvement in atmospheric water vapor monitoring that can sibly predict the phase delay induced by atmospheric water vapor on the spaceborne radar signal. The impact of the assimilation on be assimilated in NWP models would improve the forecast the model forecast is investigated in terms of temperature, water accuracy of precipitation and severe weather [1], [3].
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