Development of Marine Forecasting Systems and Observation Assimilation Algorithms  id статьи: 3508
Тип публикации
статья в журнале
Журнал
Izvestiya, Atmospheric and Oceanic Physics
ISSN:0001-4338
eSSN:1555-628
Выходные данные
том
61
выпуск
3
страницы
357-368
Абстракт
This paper is devoted to the discussion of G.I. Marchuk’s ideas which stimulated the research in the field of operational oceanography and forecasting of the state of the marine environment in the last 10–12 years at institutes of the Russian Academy of Sciences and Roshydromet. The methodology developed at the Marine Hydrophysical Institute and research teams in France in reconstructing the temperature and salinity of seawater based on satellite observations is described. Application of a very simple observation assimilation algorithm based on relaxation of the solution of the numerical forecast model to three-dimensional thermohaline fields reconstructed from satellite data in the basins of Azov–Black Sea, Arctic, and the World Ocean is demonstrated. Estimates of standard deviations of thermohaline fields of the global ocean calculated using assimilation of observations with the simple algorithm are compared with similar estimates of CMEMS (Copernicus Marine Environment Monitoring Service) products based on GLO12 v2 and v4. The causes of the relatively small discrepancies between the estimates of thermohaline field analyses based on a model with a spatial resolution of 0.25° and the simple algorithm for observation assimilation and the GLO12 v2 and v4 models with a resolution of 1/12° and a much more complex algorithm for assimilation of observations are discussed.
Ключевые слова
OPERATIONAL MARINE FORECAST, DATA ASSIMILATION, NUMERICAL SIMULATION OF THE OCEAN CIRCULATION, NEMO, WORLD OCEAN
Дата занесения
2025-08-14 11:30:09 (квартал- II)