Data Library ∫dX [ IRI Analyses ICPAC Models Montreal GEM-NEMO FORECAST MONTHLY prec ]
X0.5W - 0.5W
Y90.5S - 90.5N
L[0.0 12.0] months
M[0.5 10.5]
SDec 2016 - Oct 2021
served from IRI/LDEO Climate Data Library

∫dX [ IRI Analyses ICPAC Models Montreal GEM-NEMO FORECAST MONTHLY prec ]: Total Precipitation data

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

Independent Variables (Grids)

Lead
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
Forecast Start Time (forecast_reference_time)
grid: /S (months since 1960-01-01) ordered (0000 1 Dec 2016) to (0000 1 Nov 2021) by 1.0 N= 60 pts :grid
Longitude (longitude)
grid: /X (degree_east) ordered (0.5W) to (0.5W) by 1.0 N= 361 pts :grid
latitude (latitude)
grid: /Y (degree_north) ordered (90S) to (90N) by 1.0 N= 181 pts :grid

Other Info

bufferwordsize
8
CE
null
CS
null
datatype
doublearraytype
defaultvalue
742.0
file_missing_value
9.99900026E20
grib_name
PRATE
gribPDSpattern
04XXXX
missing_value
NaN
pointwidth
0
standard_name
lwe_pecipitation_rate
units
2.02005700462307×10-10 meter radian east 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: Wed, 08 Dec 2021 17:48:17 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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Note on units