naa a22 4500 510753825 CHVBK 20180411083115.0 cr unu---uuuuu 180411e20130701xx s 000 0 eng 10.1007/s13131-013-0332-2 doi (NATIONALLICENCE)springer-10.1007/s13131-013-0332-2 Improvement of short-term forecasting in the northwest Pacific through assimilating Argo data into initial fields [Elektronische Daten] [Hongli Fu, Peter Chu, Guijun Han, Zhongjie He, Wei Li, Xuefeng Zhang] The impact of assimilating Argo data into an initial field on the short-term forecasting accuracy of temperature and salinity is quantitatively estimated by using a forecasting system of the western North Pacific, on the base of the Princeton ocean model with a generalized coordinate system (POMgcs). This system uses a sequential multigrid three-dimensional variational (3DVAR) analysis scheme to assimilate observation data. Two numerical experiments were conducted with and without Argo temperature and salinity profile data besides conventional temperature and salinity profile data and sea surface height anomaly (SSHa) and sea surface temperature (SST) in the process of assimilating data into the initial fields. The forecast errors are estimated by using independent temperature and salinity profiles during the forecasting period, including the vertical distributions of the horizontally averaged root mean square errors (H-RMSEs) and the horizontal distributions of the vertically averaged mean errors (MEs) and the temporal variation of spatially averaged root mean square errors (S-RMSEs). Comparison between the two experiments shows that the assimilation of Argo data significantly improves the forecast accuracy, with 24% reduction of H-RMSE maximum for the temperature, and the salinity forecasts are improved more obviously, averagely dropping of 50% for H-RMSEs in depth shallower than 300 m. Such improvement is caused by relatively uniform sampling of both temperature and salinity from the Argo drifters in time and space. The Chinese Society of Oceanography and Springer-Verlag Berlin Heidelberg, 2013 data assimilation nationallicence Argo data nationallicence western North Pacific nationallicence ocean prediction nationallicence Fu Hongli Key Laboratory of State Oceanic Adminstration for Marine Environmental Information Technology, National Marine Data and Information Service, State Oceanic Administration, 300171, Tianjin, China aut Chu Peter Naval Ocean Analysis and Prediction Laboratory, Naval Postgraduate School, Monterey, CA, USA aut Han Guijun Key Laboratory of State Oceanic Adminstration for Marine Environmental Information Technology, National Marine Data and Information Service, State Oceanic Administration, 300171, Tianjin, China aut He Zhongjie Key Laboratory of State Oceanic Adminstration for Marine Environmental Information Technology, National Marine Data and Information Service, State Oceanic Administration, 300171, Tianjin, China aut Li Wei Key Laboratory of State Oceanic Adminstration for Marine Environmental Information Technology, National Marine Data and Information Service, State Oceanic Administration, 300171, Tianjin, China aut Zhang Xuefeng Key Laboratory of State Oceanic Adminstration for Marine Environmental Information Technology, National Marine Data and Information Service, State Oceanic Administration, 300171, Tianjin, China aut Acta Oceanologica Sinica Springer Berlin Heidelberg 32/7(2013-07-01), 57-65 0253-505X 32:7<57 2013 32 13131 https://doi.org/10.1007/s13131-013-0332-2 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s13131-013-0332-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Fu Hongli Key Laboratory of State Oceanic Adminstration for Marine Environmental Information Technology, National Marine Data and Information Service, State Oceanic Administration, 300171, Tianjin, China aut NATIONALLICENCE 700 1- Chu Peter Naval Ocean Analysis and Prediction Laboratory, Naval Postgraduate School, Monterey, CA, USA aut NATIONALLICENCE 700 1- Han Guijun Key Laboratory of State Oceanic Adminstration for Marine Environmental Information Technology, National Marine Data and Information Service, State Oceanic Administration, 300171, Tianjin, China aut NATIONALLICENCE 700 1- He Zhongjie Key Laboratory of State Oceanic Adminstration for Marine Environmental Information Technology, National Marine Data and Information Service, State Oceanic Administration, 300171, Tianjin, China aut NATIONALLICENCE 700 1- Li Wei Key Laboratory of State Oceanic Adminstration for Marine Environmental Information Technology, National Marine Data and Information Service, State Oceanic Administration, 300171, Tianjin, China aut NATIONALLICENCE 700 1- Zhang Xuefeng Key Laboratory of State Oceanic Adminstration for Marine Environmental Information Technology, National Marine Data and Information Service, State Oceanic Administration, 300171, Tianjin, China aut NATIONALLICENCE 773 0- Acta Oceanologica Sinica Springer Berlin Heidelberg 32/7(2013-07-01), 57-65 0253-505X 32:7<57 2013 32 13131 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer