served from IRI/LDEO Climate Data Library
IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY orig tmin: Minimum Temperature data
tmin Minimum Temperature from IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY orig: original entry.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
- Forecast Start Time (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Dec 2011) to (0000 1 Nov 2015) by 1.0 N= 48 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (0.5E) to (0.5W) 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
- bufferwordsize
- 4
- center
- Montreal (RSMC)
- datatype
- realarraytype
- file_missing_value
- 9.99900026E20
- grib_name
- TMIN
- gribcenter
- 54
- gribfield
- 1
- gribleveltype
- 119
- gribNumBits
- 16
- gribparam
- 16
- missing_value
- NaN
- PDS_TimeRange
- 2
- pointwidth
- 0
- standard_name
- air_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, 08 Dec 2020 21:54:43 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | M | S | X | Y | |
 IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY orig tmin[ X Y | L M 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 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