served from IRI/LDEO Climate Data Library
root mean sq detrended-bfl root mean sq ∂Y detrended-bfl ∂X ∫dS [ IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY tref ] : ∂Y ∂X Reference Temperature at 2 Meters data
Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY tref int_dS partial_X adif partial_Y partial_Y adif adif ∂Y ∂X Reference Temperature at 2 Meters from IRI: International Research Institute for Climate and Society.Independent Variables (Grids)
- L (forecast_period)
- grid: /L (months) ordered (1.0 months) to (11.0 months) by 1.0 N= 11 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
- 273.567195834312 degree_Kelvin radian-2 east year
- history
- detrended-bfl root mean sq $partialdiff sub Y$ detrended-bfl $partialdiff sub X$ $integral dS$ [ 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 Y[90S, 90N] minimum 0.0% data present
root mean sq detrended-bfl root mean sq $partialdiff sub Y$ detrended-bfl $partialdiff sub X$ $integral dS$ [ IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY tref ]- Averaged over S[0000 16 Dec 2010, 0000 16 Jul 2019] M[0.5, 10.5] 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_etal2014Last updated: Tue, 08 Dec 2020 21:56:07 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars
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 L
- Differentiate along X L
- Take differences along X L
RMS (root mean square with mean *not* removed) over X L | X L |
RMSA (root mean square with mean removed) over X L | X L |
Maximum over X L | X L |
Minimum over X L | X L |
Detrend (best-fit-line) over X L | X L |
Note on units