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Variational Identification of the Initial Field of Chlorophyll A Concentration in the Transport Model according to Remote Sensing Data [Вариационная идентификация начального поля концентрации хлорофилла а в модели переноса по данным дистанционного зондирования]  id статьи: 2861
Тип публикации
статья в журнале
Язык
En
Журнал
Ecological Safety of Coastal and Shelf Zones of Sea

ISSN:2413-5577
Год
2023
Выходные данные
том
выпуск 2
страницы 61-70
EDN
УДК
51.37
Абстракт
The work aims at construction of chlorophyll a fields through variational assimilation of available satellite information for a few days in a transfer model. Such information is the most real-time, but most often it has omissions (sometimes significant) in its structure due to the scattering effect of clouds, glares, etc. Therefore, obtaining reliable fields taking into account the available information for the Black Sea is an important and urgent task. In the numerical implementation of the transfer model and variational method of measurement data assimilation, the results of calculations based on the MHI dynamic model for the Black Sea were used. In the numerical implementation of the variational assimilation algorithm, iterative gradient methods are used, and the solution of the adjoint problem is used to construct the gradient of the cost function in the parameter space. As a result of the calculations, a field of chlorophyll a concentration was obtained for almost the entire Black Sea area consistent with the measurement data. The paper implements a variational algorithm for the satellite information assimilation, which made it possible to obtain a chlorophyll a concentration field for the Black Sea area, taking into account incomplete coverage with observational data. The procedure can be used to determine concentration fields of various suspended substances in the sea based on data distributed over time and space
Ключевые слова
CHLOROPHYLL A CONCENTRATION, VARIATIONAL ALGORITHM, ADJOINT PROBLEM, MEASUREMENT DATA ASSIMILATION, BLACK SEA, SPACE-TIME INTERPOLATION, КОНЦЕНТРАЦИЯ ХЛОРОФИЛЛА А, ВАРИАЦИОННЫЙ АЛГОРИТМ, СОПРЯЖЕННАЯ ЗАДАЧА, АССИМИЛЯЦИЯ ДАННЫХ ИЗМЕРЕНИЙ, ЧЕРНОЕ МОРЕ, ПРОСТРАНСТВЕННО- ВРЕМЕННАЯ ИНТЕРПОЛЯЦИЯ
Дата занесения
2023-08-16 22:20:50
Scopus
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количество баллов за публикацию
3
количество баллов каждому автору
1.5
Финансирование:

FNNN-2021-0005
«Комплексные междисциплинарные исследования океанологических процессов, определяющих функционирование и эволюцию экосистем прибрежных зон Черного и Азовского морей»