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mean ∫dT [ UEA CRU TS3p21 monthly tmp ] : near-surface temperature data
mean ∫dT [ UEA CRU TS3p21 monthly tmp ] .Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1901) to (0000 1 Jan 2013) by 1.0 N= 1345 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89.5S) to (89.5N) by 0.5 N= 359 pts :grid
Other Info
- CE
- null
- correlation_decay_distance
- 1200.0
- CS
- null
- datatype
- realarraytype
- file_missing_value
- 9.96920997E36
- missing_value
- NaN
- pointwidth
- 1
- standard_name
- air_temperature
- units
- 0.0833333333333333 degree_Kelvin year
- history
- mean $integral dT$ [ UEA CRU TS3p21 monthly tmp ]
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
Averaged over X[179.75W, 179.75W] minimum 0.0% data present
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
References
Harris_etal2013Last updated: Fri, 26 Jul 2024 12:21:16 GMT
Data Views
Views
data as colors
data as contours| T | Y | |
 mean $integral dT$ [ UEA CRU TS3p21 monthly tmp ] [ Y | T] | M | M |
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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 T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units