data: Models SubC NCEP CFSv2 hindcast ts

served from IRI/LDEO Climate Data Library

Models SubC NCEP CFSv2 hindcast ts: Surface Temperature data

NCEP CFSv2 hindcast Surface Temperature from Models SubC: Subseasonal Consortium (SubC).

Independent Variables (Grids)

Lead (forecast_period): grid: /L (days) ordered (0.5 days) to (43.5 days) by 1.0 N= 44 pts :grid
Ensemble Member (realization): grid: /M (ids) ordered [ (1)] :grid
Start Time (forecast_reference_time): grid: /S (days since 1960-01-01) ordered (0000 1 Jan 1999) to (0000 30 Sep 2017) by 0.25 N= 27389 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

datatype: realarraytype
interpolation: bilinearly interpolated from Gaussian grid
level_type: surface
missing_value: -9999.0
pointwidth: 0.0
units: Kelvin_scale
standard units*: degree_Kelvin above 0

Last updated: Wed, 10 Jan 2024 20:29:30 GMT

Data Views

	L	M	S	X	Y
Models SubC NCEP CFSv2 hindcast ts 1[ X Y \| L M S]	M	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 L S
Differentiate along X Y L S
Take differences along X Y L S