Mesoscale Resolution Radar Data Assimilation Experiments with the Harmonie Model

Serguei Ivanov; Silas Michaelides; Igor Ruban

doi:10.20944/preprints201808.0068.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 3 August 2018 / Approved: 3 August 2018 / Online: 3 August 2018 (12:56:15 CEST)

This study presents a pre-processing approach adopted for the radar reflectivity data assimilation and results of simulations with the Harmonie numerical weather prediction model. The method shows an improvement of precipitation prediction within the radar location area in both the rain rates and spatial pattern presentation. With the assimilation of radar data, the model simulates larger water content in the middle troposphere within the layer from 1 to 6 km, with major variations at 2.5–3 km; it also reproduces better the mesoscale belt and cell patterns of precipitation fields.

Harmonie model; radar data assimilation; pre-processing; mesoscale precipitation patterns

Environmental and Earth Sciences, Atmospheric Science and Meteorology

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Mesoscale Resolution Radar Data Assimilation Experiments with the Harmonie Model

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