served from digilib.icpac.net
max ∂T min [ UEA CRU TS3p21 monthly wet ] : ∂T wet day frequency data
max ∂T min [ UEA CRU TS3p21 monthly wet ] . isIndependent Variables (Grids)
Other Info
- CE
- 31
- correlation_decay_distance
- 450.0
- CS
- 0
- datatype
- realarraytype
- file_missing_value
- 9.96920997E36
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1
- standard_name
- number_of_days_with_lwe_thickness_of_precipitation_amount_above_threshold
- units
- 1036800 second year-1
- history
- $partialdiff sub T$ min [ UEA CRU TS3p21 monthly wet ] 16 Nov 2012 - 15 Dec 2012
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
min over X[179.75W, 179.75E]
max $partialdiff sub T$ min [ UEA CRU TS3p21 monthly wet ]- max over Y[89.75S, 89.75N] T[16 Jan 1901 - 15 Feb 1901, 16 Nov 2012 - 15 Dec 2012]
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
- colorscale
References
Harris_etal2013Last updated: Fri, 26 Jul 2024 12:21:16 GMT
Data Views
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units