served from digilib.icpac.net
mean ∂X max ∂Y [ UEA CRU TS3p21 monthly pet ] : ∂X ∂Y potential evapotranspiration data
mean ∂X max ∂Y [ UEA CRU TS3p21 monthly pet ] . isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- correlation_decay_distance
- -999.0
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 9.96920997E36
- missing_value
- NaN
- pointwidth
- 1
- standard_name
- water_potential_evaporation_flux
- units
- 3.79954438658767×10-05 meter radian-2 north second-1
- history
- $partialdiff sub X$ max $partialdiff sub Y$ [ UEA CRU TS3p21 monthly pet ]
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
max over Y[89.5S, 89.5N] T[Jan 1901, Dec 2012]
mean $partialdiff sub X$ max $partialdiff sub Y$ [ UEA CRU TS3p21 monthly pet ]- Averaged over X[179.75E, 179.75E] 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
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