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Dataset

FORA-WNP30 was produced by using MRI Multivariate Ocean Variational Estimation system, version of 4-dimensional variational method (MOVE-4DVAR; Usui et al. 2015), the data assimilation system developed by the JMA/MRI. MOVE-4DVAR uses MRI.COM-WNP (Tsujino et al. 2006), eddy-resolving ocean model for Western North Pacific developed by JMA/MRI, as the forward model of ocean and sea ice.

The settings of the assimilation system are as follows:

Ocean and sea ice model

Domain: 117°E-160°W, 15°N-65°N

Horizontal resolution: 1/10° (1/6° east of 160°E) longitude × 1/10° (1/6° north of 50°N) latitude

Number of vertical levels: 54 levels (0-6300m)

Assimilation method

Ocean: 4-dimensional variational method

Sea ice: objective analysis by minimum variance estimation and nudging

Assimilation cycle: 3 cycles in a month (day 1 to 10, 11 to 20, 21 to the end of month in each month), sea ice is nudeged to the daily analysis.

Assimilated observation

In situ temperature and salinity profiles from WOD2013 and GTSPP (0-1500m)

Gridded SST made by merging satellite and in situ observations (MGDSST; Kurihara et al., 2006 [in Japanese])

SLA by satellites (TOPEX/Poseidon, Jason-1/2, ERS-1/2, Envisat, GFO, Cryosat)

SSM/I sea ice concentration data

Atmospheric forcing

daily-mean of JRA-55 (Kobayashi et al., 2015)

Analysis period

Jan. 1, 1982 to Dec. 31, 2016

Data format

NetCDF (based on CF-convention v1.6)

Variables

Variable name	Dimension	Standard name*1	Units*2
uo	3	sea_water_eastward_velocity	cm s-1
vo	3	sea_water_northward_velocity	cm s-1
to	3	sea_water_potential_temperature	degreeC
so	3	sea_water_practical_salinity	psu
ht	2	sea_surface_height_above_sea_level	cm
aice	2	sea_ice_area_fraction	1

*1: Standard name of each variable is based on CF Standard Names.
*2: Please refer to the variable attributes (units, scale_factor, add_offset) for detailed information in the data files.