Recent Advances in Japanese Fisheries Science in the Kuroshio-Oyashio Region through Development of the FRA-ROMS Ocean Forecast System: Overview of the Reproducibility of Reanalysis Products  

作　　者：Hiroshi Kuroda Takashi Setou Shigeho Kakehi Shin-ichi Ito Takeshi Taneda Tomonori Azumaya Denzo Inagake Yutaka Hiroe Kenji Morinaga Makoto Okazaki Takashi Yokota Takeshi Okunishi Kazuhiro Aoki Yugo Shimizu Daisuke Hasegawa Tomowo Watanabe 

机构地区：[1]Hokkaido National Fisheries Research Institute, Japan Fisheries Research and Education Agency, Kushiro, Japan [2]National Research Institute of Fisheries Science, Japan Fisheries Research and Education Agency, Yokohama, Japan [3]Tohoku National Fisheries Research Institute, Japan Fisheries Research and Education Agency, Shiogama, Japan [4]Atmosphere and Ocean Research Institute, University of Tokyo, Kashiwa, Japan [5]Seikai National Fisheries Research Institute, Japan Fisheries Research and Education Agency, Nagasaki, Japan [6]National Research Institute of Far Seas Fisheries, Japan Fisheries Research and Education Agency, Yokohama, Japan [7]Hokkaido National Fisheries Research Institute, Japan Fisheries Research and Education Agency, Akkeshi, Japan [8]Headquaters, Japan Fisheries Research and Education Agency, Yokohama, Japan

出　　处：《Open Journal of Marine Science》2017年第1期62-90,共29页海洋科学期刊（英文）

摘　　要：To address various fisheries science problems around Japan, the Japan Fisheries Research and Education Agency (FRA) has developed an ocean forecast system by combining an ocean circulation model based on the Regional Ocean Modeling System (ROMS) with three-dimensional variational analysis schemes. This system, which is called FRA-ROMS, is a basic and essential tool for the systematic conduct of fisheries science. The main aim of FRA-ROMS is to realistically simulate mesoscale variations over the Kuroshio-Oyashio region. Here, in situ oceanographic and satellite data were assimilated into FRA-ROMS using a weekly time window. We first examined the reproducibility through comparison with several oceanographic datasets with an Eulerian reference frame. FRA-ROMS was able to reproduce representative features of mesoscale variations such as the position of the Kuroshio path, variability of the Kuroshio Extension, and southward intrusions of the Oyashio. Second, using a Lagrangian reference frame, we estimated position errors between ocean drifters and particles passively transported by simulated currents, because particle tracking is an essential technique used in applications of reanalysis products to fisheries science. Finally, we summarize recent and ongoing fisheries studies that use FRA-ROMS and mention several new developments and enhancements that will be implemented in the near future.To address various fisheries science problems around Japan, the Japan Fisheries Research and Education Agency (FRA) has developed an ocean forecast system by combining an ocean circulation model based on the Regional Ocean Modeling System (ROMS) with three-dimensional variational analysis schemes. This system, which is called FRA-ROMS, is a basic and essential tool for the systematic conduct of fisheries science. The main aim of FRA-ROMS is to realistically simulate mesoscale variations over the Kuroshio-Oyashio region. Here, in situ oceanographic and satellite data were assimilated into FRA-ROMS using a weekly time window. We first examined the reproducibility through comparison with several oceanographic datasets with an Eulerian reference frame. FRA-ROMS was able to reproduce representative features of mesoscale variations such as the position of the Kuroshio path, variability of the Kuroshio Extension, and southward intrusions of the Oyashio. Second, using a Lagrangian reference frame, we estimated position errors between ocean drifters and particles passively transported by simulated currents, because particle tracking is an essential technique used in applications of reanalysis products to fisheries science. Finally, we summarize recent and ongoing fisheries studies that use FRA-ROMS and mention several new developments and enhancements that will be implemented in the near future.

关 键 词：ROMS 3D-VAR Objective Analysis REANALYSIS Data FISHERIES SCIENCE Particle-Tracking Experiment 

分 类 号：R73[医药卫生—肿瘤]