Parameterization of a WRF Model Based on Microwave Measurements of Temperature Inversion Characteristics in PBL over Moscow City

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Abstract

In this work the WRF-ARW model was tested with several different combinations of physical parameterizations to assess the quality of temperature inversion parameter predictions over the Moscow city. The dynamic and statistical characteristics of temperature inversions have been calculated and analysed in selecting criteria for comparisons. The calculated of estimating of the dissipation conditions in dependence on the type of temperature inversions are presented. The data source was the results of temperature profiles measurements in a layer up to 1 km, obtained by the MTP-5 passive microwave profiler from 2018 to 2021. One MTP5 on the North of Moscow was used to tune the model parameters and another one on the East of Moscow for validation. The comparison results show that several parameterization options can be chosen to reproduce the main inversion parameters.

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About the authors

R. V. Zhuravlev

Central Aerological Observatory of Roshydromet

Email: tissary@gmail.com
Russian Federation, st. Pervomayskaya, 3, Dolgoprudny, 141700

E. A. Miller

Central Aerological Observatory of Roshydromet

Author for correspondence.
Email: tissary@gmail.com
Russian Federation, st. Pervomayskaya, 3, Dolgoprudny, 141700

A. K. Knyazev

Central Aerological Observatory of Roshydromet

Email: tissary@gmail.com
Russian Federation, st. Pervomayskaya, 3, Dolgoprudny, 141700

N. A. Baranov

Computing Centre named A. A. Dorodnicyn FRCIC of the Russian Academy of Sciences

Email: tissary@gmail.com
Russian Federation, st. Vavilova, 40, Moscow, 119333

E. A. Lezina

BEPI Mosecomonitoring

Email: tissary@gmail.com
Russian Federation, st. Novy Arbat, 11, build. 1, Moscow, 119992

A. V. Troitsky

Nizhny Novgorod State University N. I. Lobachevsky

Email: tissary@gmail.com
Russian Federation, st. Ashgabatskaya, 4, Nizhny Novgorod, 603105

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Supplementary files

Supplementary Files
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2. Fig. 1. Distribution of the shares of the areas of the underlying surface classes in the sensitivity area of two MTR-5 devices (Dolgoprudny and Kosino) and a square around the center of Moscow with a side of 20 km (center of Moscow).

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3. Fig. 2. Characteristics of temperature inversions.

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4. Fig. 3. An example of comparisons of the measured profiles of MTR-5 (green line) with radiosondes (RS-red dots) in SOFOG3D and the blue line – profiles T(h) calculated from the brightness temperatures Tbr(O) of the radiosonde. (a) G-inversion; (b) elevated E-inversion; (c) highly elevated inversion is NOT.

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5. Fig. 4. Characteristics of inversions in the period from 01/04 to 15/10 and from 16/10 to 31/03 according to the MTR-5 data of Dolgoprudny from 2018 to 2021.

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6. Fig. 5. Hourly average characteristics of inversions (a) in the period from 16/10 to 31/03 and (b) in the period from 01/04 to 15/10.

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7. Fig. 6. Distribution by duration of inversions in the period from 16/10 to 31/03 (“winter") and from 01/04 to 15/10 (“summer")

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8. Fig. 7. Hourly average characteristics of inversions in the period from 01/04 to 15/10 and from 16/10 to 31/03 according to MTR-5 SN050c 2018 to 2021.

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9. Fig. 8. Distribution of the period of destruction of the inversion with a power of dT from the angle of the Sun of inversions in the period from 01/04 to 15/10 according to MTR-5 data in Dolgoprudny.

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10. Fig. 9. An example of the dynamics of temperature inversions in PPP in the period from 18/06 to 24/06 2021 (Dolgoprudny).

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11. Fig. 10. Characteristics of inversions in the period from 01/04 to 15/10 according to MTR-5 SN050 in Dolgoprudny from 2018 to 2021.

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12. Fig. 11. The results of the F1 metric for inversions of type G + E (left) and HE (right).

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13. Fig. 12. The results of the Fb metric (b = 0.75) for inversions of type G + E (left) and HE (right).

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14. Fig. 13. Precision results for inversions of type G + E (left) and HE (right).

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15. Fig. 14. Completeness results (Recall) for inversions of type G + E (left) and HE (right).

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16. Fig. 15. RMSE results for inversions of type G + E (left column) and HE (right column).

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17. Fig. 16. bias results for inversions of type G + E (left column) and HE (right column).

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18. 17. varratio results for inversions of type G + E (left column) and HE (right column).

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19. Table 1. Distribution of the terms of destruction of dT inversions through the angular position of the Sun

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20. Table 2. Distribution of the terms of destruction of inversions of dT time from the moment of sunrise

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