served from IRI/LDEO Climate Data Library
min detrended-bfl detrended-bfl detrended-bfl 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 adif adif adif Minimum Temperature from IRI: International Research Institute for Climate and Society.Independent Variables (Grids)
- S
- grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2011) to (0000 1 Jul 2019) by 1.0 N= 103 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (0.5E) to (0.5W) by 1.0 N= 360 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- center
- Montreal (RSMC)
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 9.99900026E20
- grib_name
- TMIN
- gribcenter
- 54
- gribfield
- 1
- gribleveltype
- 119
- gribNumBits
- 16
- gribparam
- 16
- missing_value
- NaN
- PDS_TimeRange
- 2
- pointwidth
- 0
- standard_name
- air_temperature
- units
- degree_Celsius
- standard units*
- degree_Kelvin
- history
- min detrended-bfl detrended-bfl detrended-bfl 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
min over Y[90S, 90N] M[1.0, 10.0] L[0.5 months, 11.5 months]
- S: 0000 1 Dec 2015 to 0000 1 Jul 2019 appended from Models NMME Cansips FORECAST MONTHLY tmin
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
Views
data as colors
data as contours
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 S
- Differentiate along X S
- Take differences along X S
RMS (root mean square with mean *not* removed) over X S | X S |
RMSA (root mean square with mean removed) over X S | X S |
Maximum over X S | X S |
Minimum over X S | X S |
Detrend (best-fit-line) over X S | X S |
Note on units