served from IRI/LDEO Climate Data Library
∂S [ IRI Analyses ICPAC Models Montreal CMC2-CanCM4 HINDCAST MONTHLY tref ]: ∂S Reference Temperature at 2 Meters data
Analyses ICPAC Models Montreal CMC2-CanCM4 HINDCAST MONTHLY tref ∂S Reference Temperature at 2 Meters from IRI: International Research Institute for Climate and Society.Independent Variables (Grids)
- Lead (forecast_period)
- grid: /L (months) ordered (0.5 months) to (11.5 months) by 1.0 N= 12 pts :grid
- Ensemble Member (realization)
- grid: /M (unitless) ordered (1.0) to (10.0) by 1.0 N= 10 pts :grid
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (Jan 1981) to (Nov 2010) by 1.0 N= 359 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 (90S) to (90N) by 1.0 N= 181 pts :grid
- Height (height)
- grid: /Z (m) ordered [ (2.0)] :grid
Other Info
- bufferwordsize
- 4
- center
- Montreal (RSMC)
- datatype
- realarraytype
- file_missing_value
- 9.99900026E20
- grib_name
- TMP
- gribcenter
- 54
- gribfield
- 1
- gribleveltype
- 105
- gribNumBits
- 16
- gribparam
- 11
- missing_value
- NaN
- PDS_TimeRange
- 10
- pointwidth
- 0
- standard_name
- air_temperature
- units
- 12 degree_Kelvin year-1
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: Wed, 13 Feb 2019 20:27:28 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | M | S | X | Y | Z | |
 $partialdiff sub S$ [ IRI Analyses ICPAC Models Montreal CMC2-CanCM4 HINDCAST MONTHLY tref ] 2.0 m[ X Y | Z L M S] | M | 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 X Y L M S
- Differentiate along X Y L M S
- Take differences along X Y L M S
RMS (root mean square with mean *not* removed) over X Y L M S | X Y X L X M X S Y L Y M Y S L M L S M S | X Y L X Y M X Y S X L M X L S X M S Y L M Y L S Y M S L M S | X Y L M X Y L S X Y M S X L M S Y L M S | X Y L M S |
RMSA (root mean square with mean removed) over X Y L M S | X Y X L X M X S Y L Y M Y S L M L S M S | X Y L X Y M X Y S X L M X L S X M S Y L M Y L S Y M S L M S | X Y L M X Y L S X Y M S X L M S Y L M S | X Y L M S |
Maximum over X Y L M S | X Y X L X M X S Y L Y M Y S L M L S M S | X Y L X Y M X Y S X L M X L S X M S Y L M Y L S Y M S L M S | X Y L M X Y L S X Y M S X L M S Y L M S | X Y L M S |
Minimum over X Y L M S | X Y X L X M X S Y L Y M Y S L M L S M S | X Y L X Y M X Y S X L M X L S X M S Y L M Y L S Y M S L M S | X Y L M X Y L S X Y M S X L M S Y L M S | X Y L M S |
Detrend (best-fit-line) over X Y L M S | X Y X L X M X S Y L Y M Y S L M L S M S | X Y L X Y M X Y S X L M X L S X M S Y L M Y L S Y M S L M S | X Y L M X Y L S X Y M S X L M S Y L M S | X Y L M S |
Note on units