served from IRI/LDEO Climate Data Library
∂X [ Models NMME OIv2_SST sst ]: ∂X OIv2 SST data
OIv2_SST sst ∂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 (90S) to (90N) by 1.0 N= 181 pts :grid
Other Info
- datatype
- realarraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- standard_name
- sea_surface_temperature
- units
- 57.2957795130823 degree_Kelvin radian-1 east
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 15:42:27 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub X$ [ Models NMME OIv2_SST sst ][ X Y | T] | M | M | M |
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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
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units