IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY prec: Total Precipitation data

Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY Total Precipitation from IRI: International Research Institute for Climate and Society.

Independent Variables (Grids)

Lead (forecast_period)
grid: /L (months) ordered (0.5 months) to (11.5 months) by 1.0 N= 12 pts :grid
Ensemble Member (realization)
grid: /M (unitless) ordered (1.0) to (10.0) by 1.0 N= 10 pts :grid
S
grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2011) to (0000 1 Jun 2019) by 1.0 N= 102 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
history
S: 0000 1 Dec 2015 to 0000 1 Jun 2019 appended from Models NMME Cansips FORECAST MONTHLY prec

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: Sat, 01 Jun 2019 14:31:00 GMT

Data Views

LMSXY
[ X Y | L M S]MMMMM


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. Average over X Y L M S | X Y X L X M X S Y L Y M Y S L M L S M S | X Y L X Y M X Y S X L M X L S X M S Y L M Y L S Y M S L M S | X Y L M X Y L S X Y M S X L M S Y L M S | X Y L M S |
RMS (root mean square with mean *not* removed) over X Y L M S | X Y X L X M X S Y L Y M Y S L M L S M S | X Y L X Y M X Y S X L M X L S X M S Y L M Y L S Y M S L M S | X Y L M X Y L S X Y M S X L M S Y L M S | X Y L M S |
RMSA (root mean square with mean removed) over X Y L M S | X Y X L X M X S Y L Y M Y S L M L S M S | X Y L X Y M X Y S X L M X L S X M S Y L M Y L S Y M S L M S | X Y L M X Y L S X Y M S X L M S Y L M S | X Y L M S |
Maximum over X Y L M S | X Y X L X M X S Y L Y M Y S L M L S M S | X Y L X Y M X Y S X L M X L S X M S Y L M Y L S Y M S L M S | X Y L M X Y L S X Y M S X L M S Y L M S | X Y L M S |
Minimum over X Y L M S | X Y X L X M X S Y L Y M Y S L M L S M S | X Y L X Y M X Y S X L M X L S X M S Y L M Y L S Y M S L M S | X Y L M X Y L S X Y M S X L M S Y L M S | X Y L M S |
Detrend (best-fit-line) over X Y L M S | X Y X L X M X S Y L Y M Y S L M L S M S | X Y L X Y M X Y S X L M X L S X M S Y L M Y L S Y M S L M S | X Y L M X Y L S X Y M S X L M S Y L M S | X Y L M S |
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