The COSMO-Ru system of nonhydrostatic mesoscale short-range weather forecasting of the Hydrometcenter of Russia: The second stage of implementation and development

Rivin, G. S.; Rozinkina, I. A.; Vil’fand, R. M.; Alferov, D. Yu.; Astakhova, E. D.; Blinov, D. V.; Bundel, A. Yu.; Kazakova, E. V.; Kirsanov, A. A.; Никитин, М. А.; Perov, Veniamin; Surkova, Galina; Revokatova, A. P.; Shatunova, Marina; Chumakov, M.M.

doi:10.3103/s1068373915060060

Cited by 34 publications

(9 citation statements)

References 3 publications

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“…For testing the radiation scheme in COSMO-RU model with the grid resolution of 1.1 km [15][16] visual hourly cloud observations were used. Clear sky conditions of not less than 5 hours were chosen from both observations and COSMO-RU model output.…”

Section: Model and Dataset Descriptionmentioning

confidence: 99%

Comparison between calculations of shortwave radiation with different aerosol datasets and measured data at the MSU MO (Russia)

Poliukhov¹,

Чубарова²,

Kinne

et al. 2017

AIP Conference Proceedings

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Abstract.The radiation block of the COSMO non-hydrostatic mesoscale model of the atmosphere and soil active layer was tested against a relatively new effective CLIRAD(FC05)-SW radiation model and radiative measurements at the Moscow State University Meteorological Observatory (MSU MO, 55.7N, 37.5E) using different aerosol datasets in cloudless conditions. We used the data of shortwave radiation components from the Kipp&Zonen net radiometer CNR4. The model simulations were performed with the application of various aerosol climatologies including the new MACv2 climatology and the aerosol and water vapor dataset from CIMEL (AERONET) sun photometer measurements. The application of the new MACv2 climatology in the CLIRAD(FC05)-SW radiation model provides the annual average relative error of the total global radiation of -3% varying from 0.5% in May to -7.7% in December. The uncertainty of radiative calculations in the COSMO model according to preliminary estimates changes from 1.4% to 8.4%. against CLIRAD(FC05)-SW radiation model with the same parameters. We showed that in clear sky conditions the sensitivity of air temperature at 2 meters to shortwave net radiation changes is about 0.7-0.9°C per100 W/m 2 due to the application of aerosol climatologies over Moscow.

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Section: Model and Dataset Descriptionmentioning

confidence: 99%

Comparison between calculations of shortwave radiation with different aerosol datasets and measured data at the MSU MO (Russia)

Poliukhov¹,

Чубарова²,

Kinne

et al. 2017

AIP Conference Proceedings

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“…The land surface parameterization applied in COSMO allows for description of the energy and water exchange at the soil-vegetation-atmosphere interface while accounting for the biophysical properties of various vegetation types and changes due to external factors (e.g., wildfires). COSMO configuration for numerical weather forecasting and modeling experiments in Russia is called COSMO-Ru model system [53] and it has been used by the Hydrometeorological Center of Russia since 2009 for operational and research tasks including regional weather forecasting.…”

Section: Meso-meteorological Non-hydrostatic Model System Cosmo-ruartmentioning

confidence: 99%

“…All modeling experiments in our study were performed using the COSMO-Ru and COSMO-RuART model configurations of the COSMO 5.0 model with 40 vertical levels up to a height of 22 km and with horizontal grid spacing of 0.06 degrees (≈6.6 km) on the Cray XC40-LC supercomputing system located at the Main Computer Center of Roshydromet (Moscow, Russia). This model grid spacing is currently used by operational short-range numerical weather forecast system COSMO-Ru [53,54] and balances forecast accuracy with computing demand.…”

Section: Modeling Experimentsmentioning

confidence: 99%

Effect of Natural Forest Fires on Regional Weather Conditions in Siberia

et al. 2020

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Effects of forest fires on regional weather conditions were analyzed for Central and Eastern Siberia after warm and dry weather conditions in summer 2019 using COSMO-Ru (COnsortium for Small-scale MOdeling; Ru—Russia) and COSMO-RuART (ART—Aerosols and Reactive Trace gases) model systems. Four series of numerical experiments were conducted (one control experiment and three forest fire experiments assuming total vegetation destruction within the burned areas) to evaluate possible effects of forest fires on surface albedo and vegetation properties as well as their influence on air chemistry and aerosol concentration in the atmosphere. The modeling results showed significant influence of forest fires on regional weather conditions that occurred over large areas situated even away from burnt regions. Decreased surface albedo and reduced latent heat fluxes due to fire-induced destruction of forest cover lead to higher near-surface air temperature and lower air humidity in both burned and surrounding unburned forest areas. On the other hand, reduced incoming solar radiation due to smoke from forest fire plumes decreased land surface temperatures and increased thermal atmospheric stability resulting in reduced regional precipitation.

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“…The weather forecast COSMO model is accepted by the Central Methodical Committee of the Russian Hydrometeorological Services as the main mesoscale regional short-range atmospheric model (up to three model days) for short-term weather prediction. The operational weather forecasts are produced for the territory of Russia with a grid spacing ranged from 1.1 to 13.2 km (Rivin et al 2015).…”

Section: General Description Of the Cosmo Modelmentioning

confidence: 99%

Effects Of Deforestation And Afforestation In The Central Part Of The East European Plain On Regional Weather Conditions

Никитин

Tatarinovich

Rozinkina

et al. 2019

GES

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Forest vegetation can affect the climate and weather patterns in multiple ways. What are the main mechanisms of such influence and how the land-use and vegetation changes may affect the weather and climate conditions in different geographical regions are still not quite clear. In our study, the possible impact of land use and forest cover changes in the central part of the East European plain on regional meteorological conditions was investigated using the regional COSMO model. In our modeling experiments we used two extreme land-use change scenarios imitating total deforestation and afforestation of experimental area located between 55° and 59ºN and 28° and 37°E in the central part of the East European plain. Modeling results conducted for the year 2016 showed that deforestation results in increase of the temperature difference between summer and winter months by up to 0.6ºС and in reduction of the annual precipitation by 35 mm. On the contrary, afforestation leads to decrease of the annual temperature range by 0.3° С and to growth of annual precipitation by 15 mm. Moreover, the deforestation results in higher frequencies of stronger winds and lower number of fog events, while the afforestation leads to opposite effects. Analysis of the Khromov and Gorchinsky indexes of continentality showed that the deforestation of the selected experimental area may lead to increase of the climate continentality in the study region, whereas the afforestation results in milder climate conditions.

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The COSMO-Ru system of nonhydrostatic mesoscale short-range weather forecasting of the Hydrometcenter of Russia: The second stage of implementation and development

Cited by 34 publications

References 3 publications

Comparison between calculations of shortwave radiation with different aerosol datasets and measured data at the MSU MO (Russia)

Comparison between calculations of shortwave radiation with different aerosol datasets and measured data at the MSU MO (Russia)

Effect of Natural Forest Fires on Regional Weather Conditions in Siberia

Effects Of Deforestation And Afforestation In The Central Part Of The East European Plain On Regional Weather Conditions

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