Daily Subsurface Temperatures around Japan

Term: from January 2020 to latest
Area: 16.8N - 56.2N, 113.545455E - 163.454545E, 1/10 degree x 1/11 degree
Method & Explanation:
NPR-4DVAR is the data assimilation component of MOVE/MRI.COM-JPN, the JMA's operational system for monitoring and forecasting coastal and open-ocean states around Japan. 
It consists of an eddy-resolving model for the North Pacific and a four-dimensional variational (4DVAR) assimilation scheme. 
Observations of satellite along-track sea level anomalies, gridded sea surface temperature derived from MGDSST(*), 
in-situ temperature and salinity profiles are assimilated by 4DVAR with 10-day assimilation window. 
For more information, see the article of Hirose et al. (2019).

* MGDSST: https://www.data.jma.go.jp/goos/data/rrtdb/jma-pro/mgd_sst_glb_D.html

Data Format:
One data file consists of 1585 records, one header record and 1584 data records. 
The header record contains the year, month, and day in four digits each from the left. 
The grid point values (GPVs) at a depth of 50 m are stored on a 396-record block from 2nd record, 
those at a depth of 100 m on the next block from 398th record, those at a depth of 200 m on the 3rd block from 794th record, 
and those at a depth of 400 m on the last block from 1190th record. 
The depth information is stored in three digits on the first record of each 396-record block. 
The GPVs on the grids along 56.2N are stored on the 2nd record of the block, 
those along 56.1N are on the 3rd record of the block, and those along 16.8N are on the 396th record of the block. 
Each record contains the 550 GPVs from 113.545455E to 163.454545E at the interval of 1/11 degree in longitude. 
Each GPV domains four digits in the unit of 0.01 degree Celsius. 
The GPV is 9999, if the temperature is not determined or the grid point is below the bottom of the ocean. 
About two months after the near-realtime analysis data is first created, it is replaced by the realnalysis data of which file name starts with 're_'.

References:
Hirose, N, N. Usui, K. Sakamoto, H. Tsujino, G. Yamanaka, H. Nakano, S. Urakawa, T. Toyoda, Y. Fujii, N. Kohno (2019):
Development of a new operational system for monitoring and forecasting coastal and open-ocean states around Japan 
Ocean Dynamics 69(11-12), 1333-1357

For further information, please contact to administrator of the Regional Real Time Data Base at neargoos@climar.kishou.go.jp.