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Open AccessFeature PaperLetter

Mesoscale Resolution Radar Data Assimilation Experiments with the Harmonie Model

1
Odessa State Environmental University (OSENU), 15, Lvovska Str., 65016 Odessa, Ukraine
2
The Cyprus Institute, 20, Konstantinou Kavafi Str., Aglantzia, 2121 Nicosia, Cyprus
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(9), 1453; https://doi.org/10.3390/rs10091453
Received: 7 August 2018 / Revised: 24 August 2018 / Accepted: 7 September 2018 / Published: 11 September 2018
(This article belongs to the Special Issue Remote Sensing of Precipitation)
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 proposed method creates a 3D regular grid in which a horizontal size of meshes coincides with the horizontal model resolution. This minimizes the representative error associated with the discrepancy between resolutions of informational sources. After such preprocessing, horizontal structure functions and their gradients for radar reflectivity maintain the sizes and shapes of precipitation patterns similar to those of the original data. The method shows an improvement of precipitation prediction within the radar location area in both the rain rates and spatial pattern presentation. It redistributes precipitable water with smoothed values over the common domain since the control runs show, among several sub-domains with increased and decreased values, correspondingly. It also reproduces the mesoscale belts and cell patterns of sizes from a few to ten kilometers in precipitation fields. With the assimilation of radar data, the model simulates larger water content in the middle troposphere within the layer from 1 km to 6 km with major variations at 2.5 km to 3 km. It also reproduces the mesoscale belt and cell patterns of precipitation fields. View Full-Text
Keywords: harmonie model; radar data assimilation; pre-processing; mesoscale precipitation patterns harmonie model; radar data assimilation; pre-processing; mesoscale precipitation patterns
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MDPI and ACS Style

Ivanov, S.; Michaelides, S.; Ruban, I. Mesoscale Resolution Radar Data Assimilation Experiments with the Harmonie Model. Remote Sens. 2018, 10, 1453. https://doi.org/10.3390/rs10091453

AMA Style

Ivanov S, Michaelides S, Ruban I. Mesoscale Resolution Radar Data Assimilation Experiments with the Harmonie Model. Remote Sensing. 2018; 10(9):1453. https://doi.org/10.3390/rs10091453

Chicago/Turabian Style

Ivanov, Serguei; Michaelides, Silas; Ruban, Igor. 2018. "Mesoscale Resolution Radar Data Assimilation Experiments with the Harmonie Model" Remote Sens. 10, no. 9: 1453. https://doi.org/10.3390/rs10091453

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