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mean ∂Y mean [ Guatemala CC pr ] : ∂Y Precipitation data
CC pr pr partial_Y ∂Y Precipitation from Guatemala: Guatemala Meteorology Agency.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (92.6365W) to (87.9636W) by 0.2336449 N= 21 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- cell_methods
- time: mean
- coordinates
- xlat xlon
- CS
- null
- datatype
- doublearraytype
- grid_mapping
- crs
- standard_name
- precipitation_flux
- units
- 57.2957795130823 kilogram meter-2 radian-1 north second-1
- history
- mean $partialdiff sub Y$ mean [ Guatemala CC pr ]
- Averaged over T[0300 16 Jul 2004 - 0300 16 Jul 2014, 0300 16 Jul 2099]
Averaged over Y[13.31257N, 18.25725N]
- Averaged over T[0300 16 Jul 2004 - 0300 16 Jul 2014, 0300 16 Jul 2099]
Last updated: Fri, 22 Oct 2021 15:14:06 GMT
Data Views
Views
line plots
color bars
scatter| X | |
 grid: /X (degree_east) ordered (92.6365W) to (87.9636W) by 0.2336449 N= 21 pts :grid | M |
|---|---|
 mean $partialdiff sub Y$ mean [ Guatemala CC pr ] [ X |] | 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
- Differentiate along X
- Take differences along X
RMS (root mean square with mean *not* removed) over X |
RMSA (root mean square with mean removed) over X |
Maximum over X |
Minimum over X |
Detrend (best-fit-line) over X |
Note on units