2014
DOI: 10.3103/s1068373914070048
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Quality assessment of Novorossiysk bora simulation by the WRF-ARW model

Abstract: Considered are the cases of Novorossiysk bora in 2012-2013. Given is the description of this event based on the in situ data. Assessed is the possibility of using the mesoscale nonhydrostatic version of the WRF-ARW model for predicting Novorossiysk bora. Detailed estimates of the results of the modeling are carried out using the large volume of the in situ data. Substantiated is the selection of the optimum model configuration for the numerical simulation of Novorossiysk bora.

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Cited by 15 publications
(26 citation statements)
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“…The results were obtained when using a hydro thermodynamic analytical nonlinear two-dimensional modeling, described in detail in Part 1 [Kozhevnikov et al, 2020] and [Berzegova and Bedanokov, 2018;Berzegova et al, 2017;Kozhevnikov, 2019]. In the model the atmosphere was represented in the form of three layers, while the 10 km thick lower layer represented the troposphere, the next 8 km thick -the lower stratosphere, the latterthe rest of the atmosphere.…”
Section: The Modelmentioning
confidence: 99%
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“…The results were obtained when using a hydro thermodynamic analytical nonlinear two-dimensional modeling, described in detail in Part 1 [Kozhevnikov et al, 2020] and [Berzegova and Bedanokov, 2018;Berzegova et al, 2017;Kozhevnikov, 2019]. In the model the atmosphere was represented in the form of three layers, while the 10 km thick lower layer represented the troposphere, the next 8 km thick -the lower stratosphere, the latterthe rest of the atmosphere.…”
Section: The Modelmentioning
confidence: 99%
“…The flow function fields of ( , ) (trajectories), velocity and temperature disturbances were calculated in −30 < < 40 coordinate space and to heights of 30 km. Perturbations arising during the flow around mountains of four forms obtained in Part 1 [Kozhevnikov et al, 2020] as a result of special processing of the height map of the region under consideration were analyzed. The relief, which characterizes the averaged two-dimensional features of the mountains was the main object.…”
Section: The Modelmentioning
confidence: 99%
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