data: Models NMME NCDC-OISST sst anomalies

served from IRI/LDEO Climate Data Library

Models NMME NCDC-OISST sst anomalies: Sea Surface Temperature data

NCDC-OISST sst Sea Surface Temperature 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 (Dec 2010) by 1.0 N= 348 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
calendar: standard
CE: null
center: 160
CS: null
datatype: realarraytype
grib_name: TMP
gribcenter: 160
gribfield: 1
GRIBgridcode: 3
gribleveltype: 1
gribNumBits: 12
gribparam: 11
PDS_TimeRange: 1
process: 44
PTVersion: 2
standard_name: Sea Surface Temperature
subcenter: 4
units: degree_Celsius
standard units*: degree_Kelvin
history: Averaged over T2[1982, 2010]

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: Fri, 18 Sep 2015 18:39:07 GMT

Data Views

	T	X	Y
Models NMME NCDC-OISST sst anomalies[ 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