data: Models NMME Cansips FORECAST MONTHLY T

served from IRI/LDEO Climate Data Library

Models NMME Cansips FORECAST MONTHLY T: Time data

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

Independent Variables (Grids)

Lead: 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 Sep 2015) to (0000 1 Jul 2019) by 1.0 N= 47 pts :grid

Other Info

calendar: 360
CE: null
CS: null
datatype: realarraytype
gridid: 163849512
pointwidth: 1.0
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

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

	L	S
Models NMME Cansips 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