Climate Forecasts. Part I: Current Status and Development Prospects

The physical background and main types of climate forecasts issued by the world meteorological centers are considered. It is emphasized that modern forecasting systems have an integrated nature and combine not only data assimilation systems and global numerical atmosphere–ocean–land models, but also...

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Veröffentlicht in:Russian meteorology and hydrology 2024-07, Vol.49 (7), p.563-575
Hauptverfasser: Kulikova, I. A., Vilfand, R. M., Khan, V. M., Kruglova, E. N., Tishchenko, V. A., Emelina, S. V., Kaverina, E. S., Nabokova, E. V., Subbotin, A. V., Sumerova, K. A., Tolstykh, M. A.
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container_end_page 575
container_issue 7
container_start_page 563
container_title Russian meteorology and hydrology
container_volume 49
creator Kulikova, I. A.
Vilfand, R. M.
Khan, V. M.
Kruglova, E. N.
Tishchenko, V. A.
Emelina, S. V.
Kaverina, E. S.
Nabokova, E. V.
Subbotin, A. V.
Sumerova, K. A.
Tolstykh, M. A.
description The physical background and main types of climate forecasts issued by the world meteorological centers are considered. It is emphasized that modern forecasting systems have an integrated nature and combine not only data assimilation systems and global numerical atmosphere–ocean–land models, but also support infrastructure for providing forecast products to users. The features of the forecast system of the Hydrometcenter of Russia/North Eurasia Climate Centre (NEACC) and other world meteorological centers are compared. It is noted that, unlike other centers, the forecast system of the Hydrometeorological Center of Russia/NEACC is based on the integrated use of synoptic, statistical, and hydrodynamic methods. It has been revealed that new trends and directions in the development of the forecast system are associated with the emergence of a new version of the SL-AV global semi-Lagrangian finite-difference atmosphere model of the Hydrometcenter of Russia and the Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences (INM RAS) with an expanded (up to 61 members) forecast ensemble, as well as with using the INR RAS climate model (INM-CM5) and additional applications designed for interaction with various economic sectors. The findings may be useful in determining a vector of future research aimed at developing the Russian climate prediction system.
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subjects Atmosphere
Atmospheric models
Atmospheric Sciences
Climate models
Climate prediction
Climate system
Data assimilation
Data collection
Earth and Environmental Science
Earth Sciences
Economic sectors
Ensemble forecasting
Hydrometeorology
Mathematical models
Mathematics
Meteorology
Ocean models
Statistical methods
Weather forecasting
title Climate Forecasts. Part I: Current Status and Development Prospects
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