data: $integral dY$ $partialdiff sub X$ [ Models NMME OIv2

served from IRI/LDEO Climate Data Library

∫dY ∂_X [ Models NMME OIv2_SST sst ] : ∂_X OIv2 SST data

OIv2_SST sst partial_X ∂_X OIv2 SST from Models NMME: North American Multi-Model Ensemble (NMME).

Independent Variables (Grids)

time (time): grid: /T (months since 1960-01-01) ordered (Jan 1982) to (Sep 2015) by 1.0 N= 405 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (0.5W) to (1.5W) by 1.0 N= 360 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (90.5S) to (90.5N) by 1.0 N= 182 pts :grid

Other Info

bufferwordsize: 8
datatype: doublearraytype
file_missing_value: -999.0
missing_value: NaN
standard_name: sea_surface_temperature
units: degree_Celsius
standard units*: degree_Kelvin

References

Kirtman, Ben P., and Coauthors, 2014: The North American Multimodel Ensemble: Phase-1 seasonal-to-interannual prediction; Phase-2 toward developing intraseasonal prediction. Bull. Amer. Meteor. Soc., 95, 585–601. doi: http://dx.doi.org/10.1175/BAMS-D-12-00050.1

Last updated: Tue, 20 Jul 2021 15:42:09 GMT

Data Views

	T	X	Y
$integral dY$ $partialdiff sub X$ [ Models NMME OIv2_SST sst ] [ X Y \| T]	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 T
Differentiate along X Y T
Take differences along X Y T