RORSE
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ALL-RUSSIA OPEN ANNUAL CONFERENCES ON

CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

Principal physics, methods and techniques for monitoring the environment, potentially dangerous phenomena and objects



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Information Technologies in Remote Sensing of the Earth - RORSE 2018

Proceedings of the 16th Conference (November 12-16, 2018, Moscow, Russia)

Variational Data Assimilation of Satellite Observations in the Model of Sea Hydrothermodynamics

Eugene I. Parmuzin1,2, Valery I. Agoshkov1,3, Natalia B. Zakharova1, Victor P. Shutyaev1,2

  1. Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences (INM RAS), Moscow, Russia
  2. Moscow Institute of Physics and Technology, Dolgoprudny, Russia
  3. Lomonosov Moscow State University, Moscow, Russia
eparmuzin@gmail.com
DOI 10.21046/rorse2018.1
Recently, significant results have been achieved in studying and modeling the processes of large-scale sea and ocean variability. This is due to changes in the level of development of tools, methods and equipment. These include: new observational systems (satellites, ARGO buoys, etc.), information analysis methods and numerical algorithms, powerful computers that allow processing large information flows of calculations and observations. We consider the problem of four-dimensional variational data assimilation of satellite data on the sea surface temperature using a model of sea hydrothermodynamics developed at INM RAS in this paper. Problem state and methods for its solution are discussed, the results of numerical experiments with real data of satellite observations are presented, including cases when the observation data are known at the part of the water area.
Keywords: variational data assimilation, satellite observations, sea surface temperature, heat flux, sea hydrodynamics model
References:

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Section 1. Methods of modeling various phenomena focused on assimilation of remote sensing data

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