data: $partialdiff sub M$ [ IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY orig prec ]

served from IRI/LDEO Climate Data Library

∂_M [ IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY orig prec ]: ∂_M Total Precipitation data

prec ∂_M Total Precipitation 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
M (realization): grid: /M (unitless) ordered (1.5) to (9.5) by 1.0 N= 9 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) to (1W) 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
CE: null
center: Montreal (RSMC)
CS: null
datatype: realarraytype
file_missing_value: 9.99900026E20
grib_name: PRATE
gribcenter: 54
gribfield: 1
gribleveltype: 1
gribNumBits: 16
gribparam: 59
missing_value: NaN
PDS_TimeRange: 10
pointwidth: 0
standard_name: lwe_precipitation_rate
units: mm /day
standard units*: 1.15740740740741×10^-08 meter second^-1

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 21:56:07 GMT

Data Views

	L	M	S	X	Y
$partialdiff sub M$ [ IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY orig prec ][ X Y \| L M S]	M	M	M	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 X Y L M S
Differentiate along X Y L M S
Take differences along X Y L M S