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The SLAV072L96 Model for Long-range Meteorological Forecasts
by
Travova, S. V.
, Shashkin, V. V.
, Goyman, G. S.
, Alipova, K. A.
, Mizyak, V. G.
, Zaripov, R. B.
, Tischenko, V. A.
, Kruglova, E. N.
, Fadeev, R. Yu
, Tolstykh, M. A.
in
Algorithms
/ Atmosphere
/ Atmospheric models
/ Atmospheric Sciences
/ Earth and Environmental Science
/ Earth Sciences
/ Long range weather forecasting
/ Long-range forecasting
/ Meteorology
/ Radiation
/ Soil layers
/ Stratosphere
/ Velocity
/ Weather forecasting
2024
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The SLAV072L96 Model for Long-range Meteorological Forecasts
by
Travova, S. V.
, Shashkin, V. V.
, Goyman, G. S.
, Alipova, K. A.
, Mizyak, V. G.
, Zaripov, R. B.
, Tischenko, V. A.
, Kruglova, E. N.
, Fadeev, R. Yu
, Tolstykh, M. A.
in
Algorithms
/ Atmosphere
/ Atmospheric models
/ Atmospheric Sciences
/ Earth and Environmental Science
/ Earth Sciences
/ Long range weather forecasting
/ Long-range forecasting
/ Meteorology
/ Radiation
/ Soil layers
/ Stratosphere
/ Velocity
/ Weather forecasting
2024
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The SLAV072L96 Model for Long-range Meteorological Forecasts
by
Travova, S. V.
, Shashkin, V. V.
, Goyman, G. S.
, Alipova, K. A.
, Mizyak, V. G.
, Zaripov, R. B.
, Tischenko, V. A.
, Kruglova, E. N.
, Fadeev, R. Yu
, Tolstykh, M. A.
in
Algorithms
/ Atmosphere
/ Atmospheric models
/ Atmospheric Sciences
/ Earth and Environmental Science
/ Earth Sciences
/ Long range weather forecasting
/ Long-range forecasting
/ Meteorology
/ Radiation
/ Soil layers
/ Stratosphere
/ Velocity
/ Weather forecasting
2024
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The SLAV072L96 Model for Long-range Meteorological Forecasts
Journal Article
The SLAV072L96 Model for Long-range Meteorological Forecasts
2024
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Overview
A long-range forecast system based on the improved version of the SLAV072L96 global atmosphere model has been verified at the Hydrometcenter of Russia. The model has the horizontal resolution of 0.9°
0.72° in longitude and latitude and 96 vertical levels and includes modern parametrizations for the subgrid-scale processes in the atmosphere and active soil layer. Main features and particularities of this model version are presented along with a brief description of ensemble long-range meteorological forecast technology using this model. Some verification scores for long-range forecasts based on the archive data from ERA5 reanalysis for 1991–2015 and on the data for 2023 are presented.
Publisher
Pleiades Publishing,Springer Nature B.V
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