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∫dT [ UEA CRU TS3p21 monthly dtr ] anomalies: diurnal temperature range data
∫dT [ UEA CRU TS3p21 monthly dtr ] anomalies.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
- Longitude (longitude)
- grid: /X (degree_east) periodic (179.25W) to (179.75W) by 0.5 N= 720 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89.75S) to (89.75N) by 0.5 N= 360 pts :grid
Other Info
- CE
- null
- correlation_decay_distance
- 750.0
- CS
- null
- datatype
- realarraytype
- file_missing_value
- 9.96920997E36
- missing_value
- NaN
- pointwidth
- 1
- units
- 0.0833333333333333 degree_Kelvin year
- history
- $integral dT$ [ UEA CRU TS3p21 monthly dtr ]
Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
- $integral dT$ [ UEA CRU TS3p21 monthly dtr ] climatology
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
Averaged over T2[16 Dec 1900 - 15 Dec 1901, 16 Dec 2011 - 15 Dec 2012] minimum 0.0% data present
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
- $integral dT$ [ UEA CRU TS3p21 monthly dtr ]
References
page 0: illegal page type or format PANIC: Invalid argument PANIC: fatal region error detected; run recovery PANIC: fatal region error detected; run recovery Harris_etal2013Last updated: Tue, 13 Aug 2024 08:17:43 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dT$ [ UEA CRU TS3p21 monthly dtr ] anomalies[ X Y | T] | M | M | 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 X Y T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units