data: ECMWF S2S CMA BCC-CPS-S2Sv2 forecast control ocean mswpt300

served from IRI/LDEO Climate Data Library

ECMWF S2S CMA BCC-CPS-S2Sv2 forecast control ocean mswpt300: Mean sea water potential temperature in the upper 300 m data

Mean sea water potential temperature in the upper 300 m from ECMWF S2S CMA BCC-CPS-S2Sv2 forecast control ocean: ocean data starts 02 Jan 2020.

Independent Variables (Grids)

Lead (forecast_period): grid: /LA (days) ordered (0.5 days) to (59.5 days) by 1.0 N= 60 pts :grid
forecast start time (forecast_reference_time): grid: /S (days since 1960-01-01) ordered (0000 11 Nov 2019) to (0000 15 Apr 2024) by 1.0 N= 1618 pts :grid
longitude (longitude): grid: /X (degree_east) periodic (0) to (1W) by 1.0 N= 360 pts :grid
latitude (latitude): grid: /Y (degree_north) ordered (90N) to (90S) by 1.0 N= 181 pts :grid

Other Info

bufferwordsize: 4
CE: null
CS: null
datatype: realarraytype
file_missing_value: 9.99900026E20
fnname: maskle
gribPDSpattern: 04XXXX000B0412
missing_value: NaN
pointwidth: 0.0
standard_name: sea_water_potential_temperature
units: Kelvin_scale
standard units*: degree_Kelvin above 0

Last updated: Tue, 07 May 2024 07:10:57 GMT

Data Views

	LA	S	X	Y
ECMWF S2S CMA BCC-CPS-S2Sv2 forecast control ocean mswpt300[ X Y \| LA S]	M	M	M	M

Filters

Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.

Monthly Climatology calculates a monthly climatology by averaging over all years.
anomalies calculates the difference between the (above) monthly climatology and the original data.
Integrate along X Y LA S
Differentiate along X Y LA S
Take differences along X Y LA S