Welcome to the InfoSci Platform
Application of HY-2 Satellite SST Data in 4D Variational Assimilation Ocean Forecast Model

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

Zhenchang Zhang, Libin Gao, Minquan Guo, Riqing Chen
Copyright: © 2017 |Volume: 8 |Issue: 2 |Pages: 12
ISSN: 1947-3532|EISSN: 1947-3540|EISBN13: 9781522514022|DOI: 10.4018/IJDST.2017040102
Cite Article Cite Article

MLA

Zhang, Zhenchang, et al. "Application of HY-2 Satellite SST Data in 4D Variational Assimilation Ocean Forecast Model." IJDST vol.8, no.2 2017: pp.15-26. http://doi.org/10.4018/IJDST.2017040102

APA

Zhang, Z., Gao, L., Guo, M., & Chen, R. (2017). Application of HY-2 Satellite SST Data in 4D Variational Assimilation Ocean Forecast Model. International Journal of Distributed Systems and Technologies (IJDST), 8(2), 15-26. http://doi.org/10.4018/IJDST.2017040102

Chicago

Zhang, Zhenchang, et al. "Application of HY-2 Satellite SST Data in 4D Variational Assimilation Ocean Forecast Model," International Journal of Distributed Systems and Technologies (IJDST) 8, no.2: 15-26. http://doi.org/10.4018/IJDST.2017040102

Export Reference

Mendeley
Favorite Full-Issue Download

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%.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.