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∫dX min [ Y , min ( ENACTS version0 daily rainfall rfe ) ] : Latitude, precipitation data
∫dX min [ Y , min ( ENACTS version0 daily rainfall rfe ) ] .Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (20.95E) to (52.05E) by 0.05 N= 623 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.99675S) to (22.20111N) by 0.04999687 N= 685 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- fnname
- min
- gridid
- 183537288
- missing_value
- NaN
- scale_max
- null
- scale_min
- null
- standard_name
- latitude
- units
- 0.000304617419786709 radian2 east
- history
- min over T[1 Jan 1981, 31 Dec 2020]
Last updated: Mon, 22 Feb 2021 09:33:15 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| X | Y | |
 ENACTS version0 daily rainfall[rfe
] | ||
| grid: /X (degree_east) ordered (20.975E) to (52.025E) by 0.05 N= 622 pts :grid | D | |
|---|---|---|
 $integral dX$ min [ Y , min ( ENACTS version0 daily rainfall rfe ) ] [ Y | X] | 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 Y X
- Differentiate along Y X
- Take differences along Y X
RMS (root mean square with mean *not* removed) over Y X | Y X |
RMSA (root mean square with mean removed) over Y X | Y X |
Maximum over Y X | Y X |
Minimum over Y X | Y X |
Detrend (best-fit-line) over Y X | Y X |
Note on units