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2001•Sekkei Kougaku, Shisutemu Bumon Kouenkai kouen rombunshuu/Sekkei Kogaku, Shisutemu Bumon Koenkai koen ronbunshuOpen access

2405 A data assimilation of climatological global ocean circulation by 4 dimensional Variational Method

Kinji Baba, Toshiyuki Awaji, Nozomi Sugiura, S. Masuda, Qin Jiang, Yi Yang SHEN, J. D. Annan, Yoichi Ishikawa, Nobumasa Komori, Takanori HATAYAMA

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Abstract

Numerical simulation is an efficient tool to investigate oceans and atomospher phenomena. It is desirable to use observation data in the simulation. Data assimilation is used to get proper initial and boundary conditions for forecasting and producing four-dimensional (time and space) data of weather and climate. In this study four-dimensional variational method was used to obtain initial conditions and surface fluxes for an ocean general circulation model which produces a dynamically consistent seasonally varying climate data set.

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What this paper is about

Numerical simulation is an efficient tool to investigate oceans and atomospher phenomena. It is desirable to use observation data in the simulation. Data assimilation is used to get proper initial and boundary conditions for forecasting and producing four-dimensional (time and space) data of weather and climate. In this study four-dimensional variational method was used to obtain initial conditions and surface fluxes for an ocean general circulation model which produces a dynamically consistent seasonally varying climate data set.

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Available abstract

Numerical simulation is an efficient tool to investigate oceans and atomospher phenomena. It is desirable to use observation data in the simulation. Data assimilation is used to get proper initial and boundary conditions for forecasting and producing four-dimensional (time and space) data of weather and climate. In this study four-dimensional variational method was used to obtain initial conditions and surface fluxes for an ocean general circulation model which produces a dynamically consistent seasonally varying climate data set.

Key concepts: Data assimilation, General Circulation Model, Climatology, Circulation (fluid dynamics), Meteorology, Ocean current, Boundary value problem, Environmental science

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