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mean ∂Region ∂T [ MGAP IPA PPNA maximo ] climatology: ∂Region ∂T Maximo data
maximo partial_T partial_Region partial_Region ∂Region ∂T Maximo from MGAP IPA PPNA: PPNA mensual.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (16 Mar - 15 Apr) to (16 Feb - 15 Mar) by 1.0 N= 12 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -9999.0
- missing_value
- NaN
- units
- 12 year-1 /ids
- history
- mean $partialdiff sub Region$ $partialdiff sub T$ [ MGAP IPA PPNA maximo ] climatology
- Averaged over Region[1.5, 10.5] minimum 0.0% data present
Averaged over T2[16 Mar 2000 - 15 Mar 2001, 16 Mar 2016 - 15 Mar 2017] minimum 0.0% data present
- Averaged over Region[1.5, 10.5] minimum 0.0% data present
Last updated: Tue, 27 Jun 2017 15:51:03 GMT
Data Views
Views
line plots
color bars
scatter| T | |
 doc[] | |
 mean $partialdiff sub Region$ $partialdiff sub T$ [ MGAP IPA PPNA maximo ] climatology[ T |] | 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 T
- Differentiate along T
- Take differences along T
RMS (root mean square with mean *not* removed) over T |
RMSA (root mean square with mean removed) over T |
Maximum over T |
Minimum over T |
Detrend (best-fit-line) over T |
Note on units