data: ECMWF S2S CMA BCC-CPS-S2Sv2 forecast control 0-0p2_m_below

served from IRI/LDEO Climate Data Library

ECMWF S2S CMA BCC-CPS-S2Sv2 forecast control 0-0p2_m_below_ground st20: Soil Temperature Top 20 cm data

forecast control 0-0p2_m_below_ground Soil Temperature Top 20 cm from ECMWF S2S CMA BCC-CPS-S2Sv2: Beijing Climate Center (BCC) Climate Prediction System version 2 for S2S.

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 18 Apr 2024) by 1.0 N= 1621 pts :grid
longitude (longitude): grid: /X (degree_east) periodic (0) to (1.5W) by 1.5 N= 240 pts :grid
latitude (latitude): grid: /Y (degree_north) ordered (90N) to (90S) by 1.5 N= 121 pts :grid

Other Info

bufferwordsize: 4
datatype: realarraytype
fnname: maskle
gribPDSpattern: 04XXXX000B0002XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX02
missing_value: 9.99900026E20
pointwidth: 0.0
units: K
standard units*: degree_Kelvin above 0

Last updated: Fri, 10 May 2024 07:11:47 GMT

Data Views

	LA	S	X	Y
ECMWF S2S CMA BCC-CPS-S2Sv2 forecast control 0-0p2_m_below_ground st20[ 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