data: root mean sq anom mean max detrended-bfl [ IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY tmin ]

served from IRI/LDEO Climate Data Library

root mean sq anom mean max detrended-bfl [ IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY tmin ] : Minimum Temperature data

Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY tmin adif adif max max max Minimum Temperature from IRI: International Research Institute for Climate and Society.

Independent Variables (Grids)

Latitude (latitude): grid: /Y (degree_north) ordered (90S) to (90N) by 1.0 N= 181 pts :grid

Other Info

bufferwordsize

CE

null

center

Montreal (RSMC)

CS

null

datatype

doublearraytype

file_missing_value

9.99900026E20

grib_name

TMIN

gribcenter

gribfield

gribleveltype

119

gribNumBits

gribparam

missing_value

NaN

PDS_TimeRange

pointwidth

standard_name

air_temperature

units

degree_Celsius

standard units*

degree_Kelvin

history

max detrended-bfl [ IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY tmin ]

S: 0000 1 Dec 2015 to 0000 1 Jul 2019 appended from Models NMME Cansips FORECAST MONTHLY tmin
max over M[1.0, 10.0] S[0000 1 Jan 2011, 0000 1 Jul 2019]

mean max detrended-bfl [ IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY tmin ] 11.0 months

Averaged over X[0, 0] minimum 0.0% data present

root mean sq anom mean max detrended-bfl [ IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY tmin ]

Averaged over L[1.0 months, 11.0 months] minimum 0.0% data present

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: Mon, 01 Jul 2019 14:31:48 GMT

Data Views

	Y
root mean sq anom mean max detrended-bfl [ IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY tmin ] [ Y \|]	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 Y
Differentiate along Y
Take differences along Y