Open AccessTHỬ NGHIỆM ĐỒNG HOÁ SỐ LIỆU ĐỘ CAO SÓNG TRONG KHU VỰC BIỂN ĐÔNG BẰNG PHƯƠNG PHÁP LỌC KALMAN TỔ HỢP
Author(s) -
Nguyễn Trung Thành,
Nguyen Minh Huan,
Tran Quang Tien
Publication year - 2019
Publication title -
vietnam journal of marine science and technology/vietnam journal of marine science and technology (vietnam academy of science and technology)
Language(s) - English
Resource type - Journals
ISSN - 1859-3097
DOI - 10.15625/1859-3097/18/4/12474
Subject(s) - data assimilation , kalman filter , assimilation (phonology) , meteorology , environmental science , physics , mathematics , statistics , philosophy , linguistics
Advances in ocean data assimilation have been improved with the power of computers over the past 30 years, but the theory of data assimilation has a long history with the probability, theory of mathematical simulation, and traditional numerical calculations. Therefore, the research and application of data assimilation technology in oceanography have been widely carried out in the world and have gotten considerable achievements. In Vietnam, the study of data assimilation has also been applied in the meteorology and has attracted the increasing interest in oceanography. This paper presents the results of the study to calculate the wave height data from satellites combined with measured wave height data at MSP1 station of Vietsovpetro using the Ensemble Kalman Filter (EnKF) method associated with SWAN wave model in the Eastern Vietnam Sea.