Version 1
: Received: 3 August 2018 / Approved: 3 August 2018 / Online: 3 August 2018 (12:56:15 CEST)
How to cite:
Ivanov, S.; Michaelides, S.; Ruban, I. Mesoscale Resolution Radar Data Assimilation Experiments with the Harmonie Model. Preprints2018, 2018080068. https://doi.org/10.20944/preprints201808.0068.v1
Ivanov, S.; Michaelides, S.; Ruban, I. Mesoscale Resolution Radar Data Assimilation Experiments with the Harmonie Model. Preprints 2018, 2018080068. https://doi.org/10.20944/preprints201808.0068.v1
Ivanov, S.; Michaelides, S.; Ruban, I. Mesoscale Resolution Radar Data Assimilation Experiments with the Harmonie Model. Preprints2018, 2018080068. https://doi.org/10.20944/preprints201808.0068.v1
APA Style
Ivanov, S., Michaelides, S., & Ruban, I. (2018). Mesoscale Resolution Radar Data Assimilation Experiments with the Harmonie Model. Preprints. https://doi.org/10.20944/preprints201808.0068.v1
Chicago/Turabian Style
Ivanov, S., Silas Michaelides and Igor Ruban. 2018 "Mesoscale Resolution Radar Data Assimilation Experiments with the Harmonie Model" Preprints. https://doi.org/10.20944/preprints201808.0068.v1
Abstract
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.
Keywords
Harmonie model; radar data assimilation; pre-processing; mesoscale precipitation patterns
Subject
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.