59224

Автор(ы): 

Фатеева Ю. Г. (ИПУ РАН, Лаборатория 90) НЕАКТУАЛЬНАЯ ЗАПИСЬ
Ефремов А. Ю. (ИПУ РАН, Лаборатория 11)

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

Data Assimilation in Modern Atmospheric Quality Forecasting Models

Электронная публикация: 

Да

ISBN/ISSN: 

978-1-7281-1094-3

DOI: 

10.1109/MLSD49919.2020.9247717

Наименование конференции: 

  • 2020 13th International Conference "Management of Large-Scale System Development" (MLSD)

Наименование источника: 

  • Proceedings of the 13th International Conference "Management of Large-Scale System Development" (MLSD)

Город: 

  • Москва

Издательство: 

  • IEEE

Год издания: 

2020

Страницы: 

1-5, https://ieeexplore.ieee.org/document/9247717
Аннотация
The paper analyzes the modern estimating and forecasting air quality mathematical models for building maps of high spatial-temporal resolution. The tasks that must be solved in the future to control air pollution effects are outlined. The emphasis is on the need to assimilate heterogeneous data, including low accuracy, to improve the models' quality.

Библиографическая ссылка: 

Фатеева Ю.Г., Ефремов А.Ю. Data Assimilation in Modern Atmospheric Quality Forecasting Models / Proceedings of the 13th International Conference "Management of Large-Scale System Development" (MLSD). М.: IEEE, 2020. С. 1-5, https://ieeexplore.ieee.org/document/9247717.