data: Models NMME CanSIPS-IC3 GEM5-NEMO FORECAST MONTHLY T

served from IRI/LDEO Climate Data Library

Models NMME CanSIPS-IC3 GEM5-NEMO FORECAST MONTHLY T: Time data

CanSIPS-IC3 GEM5-NEMO 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 Oct 2021) to (0000 1 Jun 2024) by 1.0 N= 33 pts :grid

Other Info

calendar: 360
CE: null
CS: null
datatype: realarraytype
defaultvalue: 773.0
gridid: 171261000
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_etal2014

Last updated: Fri, 31 May 2024 13:36:05 GMT
Expires: Mon, 01 Jul 2024 07:00:00 GMT

Data Views

	L	S
Models NMME CanSIPS-IC3 GEM5-NEMO 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