data: detrended-bfl [ Models NMME CMC2-CanCM4 FORECAST MONTHLY T ]

served from IRI/LDEO Climate Data Library

detrended-bfl [ Models NMME CMC2-CanCM4 FORECAST MONTHLY T ]: Time data

CMC2-CanCM4 FORECAST MONTHLY T Time from Models NMME: North American Multi-Model Ensemble (NMME).

Independent Variables (Grids)

Lead (forecast_period): grid: /L (months) ordered (0.5 months) to (11.5 months) by 1.0 N= 12 pts :grid
Forecast Start Time (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2011) to (0000 1 Jul 2019) by 1.0 N= 103 pts :grid

Other Info

bufferwordsize: 8
calendar: 360
CE: null
CS: null
datatype: doublearraytype
gridid: 182338912
pointwidth: 1.0
scale_max: null
scale_min: null
standard_name: time
units: months
standard units*: 0.0833333333333333 year

References

Kirtman_etal2014

Last updated: Tue, 08 Dec 2020 21:56:07 GMT

Data Views

	L	S
detrended-bfl [ Models NMME CMC2-CanCM4 FORECAST MONTHLY T ][ S L \|]	M	M

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

Average over S L | 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