COSMO-Ru high-resolution short-range numerical weather prediction system: its development and applications

Rivin, G. S.; Rozinkina, I. A.; Astakhova, E. D.; Blinov, D. V.; Bundel, A. Yu.; Kirsanov, A. A.; M.V, M.V. Shatunova; Chubarova, Natalia; Alferov, D. Yu.; Varentsov, Mikhail; Zakharchenko, D. I.; Kopeykin, Vladimir; Никитин, М. А.; Poliukhov, Alexey; A.P., A.P. Revokatova; Tatarinovich, Ekaterina; Churiulin, Evgenii

doi:10.37162/2618-9631-2019-4-37-53

Cited by 6 publications

(6 citation statements)

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“…The ICON model is a nonhydrostatic model of weather and climate forecasting and is used operationally in the member countries of the COSMO consortium [27]. Its implementation (ICON-Ru model) operates in the Hydrometeorological Research Center of Russia [28]. Version 2.6.5 of the ICON model was used to perform numerical experiments.…”

Section: Icon Model Configurationmentioning

confidence: 99%

Cloud Characteristics and Their Effects on Solar Irradiance According to the ICON Model, CLOUDNET and BSRN Observations

Shuvalova,

Chubarova,

Shatunova

2023

Atmosphere

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We investigated the liquid water path and global solar irradiance (Q) at ground level according to the ICON model; CLOUDNET measurements in Lindenberg, Munich, and Jülich; and BSRN observations in Lindenberg. This research is focused on stratiform non-precipitating clouds. The liquid water path (LWP) is underestimated, while Q is overestimated. The lower LWP is due to liquid water content underestimation practically in all atmosphere layers and a lower frequency of liquid cloud occurrence compared to observations. This is partly associated with the structure of the cloud nucleation scheme of the ICON model and with the default cloud condensation nuclei (CCN) number concentration. An increase in CCNs from 250 cm−3 (typical background value for the region of interest) to 1700 cm−3 (characteristic of polluted continental clouds) leads to an increase in the grid-scale liquid water path by 40% and a decrease in Q by 12% in overcast conditions. However, we also showed that the liquid water path is not a key factor of Q overestimation. The main factor is an inaccurate description of the cloud spatial structure, where the correct prediction of the ratio of direct to global irradiance as a spatial characteristic of clouds plays a more important role than the standard cloud fraction.

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Section: Icon Model Configurationmentioning

confidence: 99%

Cloud Characteristics and Their Effects on Solar Irradiance According to the ICON Model, CLOUDNET and BSRN Observations

Shuvalova,

Chubarova,

Shatunova

2023

Atmosphere

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“…This version of the wave forecast system is based on the COSMO-RU07 wind spe forecast with a spatial resolution of ~7 km and a time step of 1 h [19]. Wind speed forecast data are used from the GFS system with a spatial resolution of ~0.1 • and time step 1 h. The time step of wave model integration was 270 s for the Black Sea and 90 s for the Sea of Azov.…”

Section: Wave Forecast Systemsmentioning

confidence: 99%

“…The second additional version of the wave forecast system is based on the COSMO-RU07 wind speed forecast. COSMO-RU07 is a mesoscale atmospheric model with a high spatial resolution of ~7 km and time step 1 h [19]. This atmospheric model is based on a system of thermohydrodynamic equations describing a compressible air flow in a humid atmosphere and is based on a system of equations describing the basic laws of continuum mechanics: the law of conservation of mass, the law of conservation of momentum (momentum), the law of conservation of energy, and the equation of state (Clapeyron's equation).…”

Section: Wave Forecast Systemsmentioning

confidence: 99%

“…The grid not only includes the European part of Russia but also the Urals, part of Western Siberia, and almost all of Europe region. A more detailed description of COSMO-RU07 is given in [19,28]. All other WAVEWATCH III wave model settings were the same.…”

Section: Wave Forecast Systemsmentioning

confidence: 99%

“…As the forecast time interval increases, there is an increasing dependency between the errors in wave height forecasts and the errors in wind speed forecasts [15]. Improving the quality of meteorological forecasts can be achieved by increasing the spatial resolution, and in particular, using products of mesoscale atmospheric models, such as the COSMO-RU07 model [19]. This non-hydrostatic, limitedarea, atmospheric model was developed and supported by the Consortium for small-scale modeling (COSMO).…”

Section: Introductionmentioning

confidence: 99%

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Quality of the Wind Wave Forecast in the Black Sea Including Storm Wave Analysis

et al. 2021

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This paper presents the results of wind wave forecasts for the Black Sea. Three different versions utilized were utilized: the WAVEWATCH III model with GFS 0.25 forcing on a regular grid, the WAVEWATCH III model with COSMO-RU07 forcing on a regular grid, and the SWAN model with COSMO-RU07 forcing on an unstructured grid. AltiKa satellite altimeter data were used to assess the quality of wind and wave forecasts for the period from 1 April to 31 December 2017. Wave height and wind speed forecast data were obtained with a lead time of up to 72 h. The presented models provide an adequate forecast in terms of modern wave modeling (a correlation coefficient of 0.8–0.9 and an RMSE of 0.25–0.3 m) when all statistics were analyzed. A clear improvement in the wave forecast quality with the high-resolution wind forecast COSMO-RU07 was not registered. The bias error did not exceed 0.5 m in an SWH range from 0 to 3 m. However, the bias sharply increased to −2 or −3 m for an SWH range of 3–4 m. Wave forecast quality assessments were conducted for several storm cases.

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Effects of aerosol climatologies on weather forecast in NWP models

Poliukhov,

Blinov,

Chubarova

et al. 2024

Radiation Processes in the Atmosphere and Ocean

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COSMO-Ru high-resolution short-range numerical weather prediction system: its development and applications

Cited by 6 publications

References 0 publications

Cloud Characteristics and Their Effects on Solar Irradiance According to the ICON Model, CLOUDNET and BSRN Observations

Cloud Characteristics and Their Effects on Solar Irradiance According to the ICON Model, CLOUDNET and BSRN Observations

Quality of the Wind Wave Forecast in the Black Sea Including Storm Wave Analysis

Effects of aerosol climatologies on weather forecast in NWP models

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