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∫dT detrended-bfl ∂Y [ Guatemala CC pr ] : ∂Y Precipitation data
CC pr partial_Y adif int_dT ∂Y Precipitation from Guatemala: Guatemala Meteorology Agency.Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1960-01-01) ordered [ (0000 15 Jul 2009) (0000 15 Jul 2019) (0000 15 Jul 2029) (0000 15 Jul 2039) (0000 15 Jul 2049) (0000 15 Jul 2059) (0000 15 Jul 2069) (0000 15 Jul 2079) (0000 15 Jul 2089) (0000 15 Jul 2099)] :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (92.6365W) to (87.9636W) by 0.2336449 N= 21 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (13.42495N) to (18.14487N) by 0.2247581 N= 22 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
- 206264.806247096 kilogram meter-2 radian-1 north
Last updated: Fri, 22 Oct 2021 15:14:06 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
line plots
color bars| T | X | Y | |
 $integral dT$ detrended-bfl $partialdiff sub Y$ [ Guatemala CC pr ] [ 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