Application of HY-2 Satellite SST Data in 4D Variational Assimilation Ocean Forecast Model-Reference-Cited by-同舟云学术

Application of HY-2 Satellite SST Data in 4D Variational Assimilation Ocean Forecast Model

Published:2017-04 Issue:2 Volume:8 Page:15-26
ISSN:1947-3532
Container-title:International Journal of Distributed Systems and Technologies
language:en
Short-container-title:

Author:

Zhang Zhenchang¹,Gao Libin¹,Guo Minquan²,Chen Riqing¹

Affiliation:

1. Fujian Agriculture and Forestry University, Department of Computer Science, Fuzhou, China

2. Fujian Marine Forecasts, Fuzhou, China

Abstract

The 4D variational (4DVAR) assimilation numerical ocean model research is proposed. This model for Taiwan Straits (TWS) is based on Regional Ocean Model System (ROMS). The background of the 4DVAR method is introduced and the development process of assimilation system is presented. In the present research, the model assimilated with Sea Surface Temperature (SST) data of HY-2 satellite (Qi, 2012; Xu, 2013) which is the first marine environmental monitoring satellite of China. In this paper, the model processes from Feb. 1 to Feb. 7, 2014 with one-day assimilation time window and root mean square error (RMSE) reduces averagely by 14.7%.

Publisher

IGI Global

Subject

Computer Networks and Communications,Hardware and Architecture

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