served from IRI/LDEO Climate Data Library
WCRP SMIP-2 forecast_SST NASA_GMAO tas: Surface (2m) air temperature data
Surface (2m) air temperature from WCRP SMIP-2 forecast_SST NASA_GMAO: National Aeronautics and Space Administration, USA.Independent Variables (Grids)
- lead time (forecast_period)
- grid: /L (months) ordered (1.5 months) to (3.5 months) by 1.0 N= 3 pts :grid
- lat (latitude)
- grid: /lat (degree_north) ordered (88S) to (90N) by 2.0 N= 90 pts :grid
- lon (longitude)
- grid: /lon (degree_east) periodic (180W) to (177.5E) by 2.5 N= 144 pts :grid
- members
- grid: /M (unitless) ordered (1.0) to (6.0) by 1.0 N= 6 pts :grid
- start time (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Feb 1993) to (0000 1 Nov 2002) by 3.0 N= 40 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- missing_value
- [ -999.0 9.96920997E36 ]
- pointwidth
- 1.0
- units
- Kelvin_scale
- standard units*
- degree_Kelvin above 0
References
Vintzileos, A., M. M. Rienecker, M. J. Suarez, S. D. Schubert, and S. K. Miller (2005), Local versus remote wind forcing of the equatorial Pacific surface temperature in July 2003, Geophys. Res. Lett., 32, L05702, doi:10.1029/2004GL021972.
Last updated: Fri, 18 Sep 2015 18:39:07 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | lat | lon | M | S | |
 WCRP SMIP-2 forecast_SST NASA_GMAO tas[ lon lat | M L S] | M | M | 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 lon lat M L S
- Differentiate along lon lat M L S
- Take differences along lon lat M L S
RMS (root mean square with mean *not* removed) over lon lat M L S | lon lat lon M lon L lon S lat M lat L lat S M L M S L S | lon lat M lon lat L lon lat S lon M L lon M S lon L S lat M L lat M S lat L S M L S | lon lat M L lon lat M S lon lat L S lon M L S lat M L S | lon lat M L S |
RMSA (root mean square with mean removed) over lon lat M L S | lon lat lon M lon L lon S lat M lat L lat S M L M S L S | lon lat M lon lat L lon lat S lon M L lon M S lon L S lat M L lat M S lat L S M L S | lon lat M L lon lat M S lon lat L S lon M L S lat M L S | lon lat M L S |
Maximum over lon lat M L S | lon lat lon M lon L lon S lat M lat L lat S M L M S L S | lon lat M lon lat L lon lat S lon M L lon M S lon L S lat M L lat M S lat L S M L S | lon lat M L lon lat M S lon lat L S lon M L S lat M L S | lon lat M L S |
Minimum over lon lat M L S | lon lat lon M lon L lon S lat M lat L lat S M L M S L S | lon lat M lon lat L lon lat S lon M L lon M S lon L S lat M L lat M S lat L S M L S | lon lat M L lon lat M S lon lat L S lon M L S lat M L S | lon lat M L S |
Detrend (best-fit-line) over lon lat M L S | lon lat lon M lon L lon S lat M lat L lat S M L M S L S | lon lat M lon lat L lon lat S lon M L lon M S lon L S lat M L lat M S lat L S M L S | lon lat M L lon lat M S lon lat L S lon M L S lat M L S | lon lat M L S |
Note on units