served from IRI/LDEO Climate Data Library
root mean sq anom ∫dL root mean sq anom root mean sq anom ∂X detrended-bfl [ IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY tref ] : ∂X Reference Temperature at 2 Meters data
Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY tref adif partial_X partial_X partial_X int_dL ∂X Reference Temperature at 2 Meters 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 (0.5W) to (1.5W) 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
- TMP
- gribcenter
- 54
- gribfield
- 1
- gribleveltype
- 105
- gribNumBits
- 16
- gribparam
- 11
- missing_value
- NaN
- PDS_TimeRange
- 10
- pointwidth
- 0
- standard_name
- air_temperature
- units
- 4.77464829275686 degree_Kelvin radian-1 east year
- history
- root mean sq anom $partialdiff sub X$ detrended-bfl [ IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY tref ]
- S: 0000 1 Dec 2015 to 0000 1 Jul 2019 appended from Models NMME Cansips FORECAST MONTHLY tref
Averaged over M[1.0, 10.0] minimum 0.0% data present
$integral dL$ root mean sq anom root mean sq anom $partialdiff sub X$ detrended-bfl [ IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY tref ]- Averaged over Y[90S, 90N] minimum 0.0% data present
root mean sq anom $integral dL$ root mean sq anom root mean sq anom $partialdiff sub X$ detrended-bfl [ IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY tref ]- Averaged over L[0.0 months, 12.0 months] minimum 0.0% data present
- S: 0000 1 Dec 2015 to 0000 1 Jul 2019 appended from Models NMME Cansips FORECAST MONTHLY tref
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