served from IRI/LDEO Climate Data Library
CCCma DECADAL initialized 10_year_run monthly ATM T: Forecast time data
initialized 10_year_run monthly ATM Forecast time from CCCma DECADAL: CanCM4 model output.Independent Variables (Grids)
- Lead time (forecast_period)
- grid: /L (months) ordered (1.5 months) to (120.5 months) by 1.0 N= 120 pts :grid
- Start time (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered [ (0000 1 Dec 1960) (0000 1 Dec 1965) (0000 1 Dec 1970) (0000 1 Dec 1975) (0000 1 Dec 1980) (0000 1 Dec 1985) (0000 1 Dec 1990) (0000 1 Dec 1995) (0000 1 Dec 2000) (0000 1 Dec 2001) (0000 1 Dec 2002) (0000 1 Dec 2003) (0000 1 Dec 2004) (0000 1 Dec 2005) (0000 1 Dec 2006) (0000 1 Dec 2007) (0000 1 Dec 2008)] :grid
Other Info
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- realarraytype
- gridid
- 177503776
- pointwidth
- 1
- scale_max
- null
- scale_min
- null
- standard_name
- time
- units
- months since 1960-01-01
- standard units*
- 0.0833333333333333 ( years since 1960-01-01 00:00.000000000 )
References
Arora, V. K., J. F. Scinocca, G. J. Boer, J. R. Christian, K. L. Denman, G. M. Flato, V. V. Kharin, W. G. Lee, and W. J. Merryfield (2011), Carbon emission limits required to satisfy future representative concentration pathways of greenhouse gases, Geophys. Res. Lett., 38, L05805, doi:10.1029/2010GL046270.Merryfield, W. J. and coauthors: The Second Coupled Historical Forecasting Project (CHFP2): I. Models and Initialization. In preparation.
Last updated: Mon, 16 Feb 2015 21:51:21 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| L | S | |
 CCCma DECADAL initialized 10_year_run monthly ATM T[ S L |] | 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 S L
- Differentiate along S L
- Take differences along S L
RMS (root mean square with mean *not* removed) over S L | S L |
RMSA (root mean square with mean removed) over S L | S L |
Maximum over S L | S L |
Minimum over S L | S L |
Detrend (best-fit-line) over S L | S L |
Note on units