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root mean sq min ∂Y [ ENACTS version0 daily rainfall rfe ] : ∂Y precipitation data
daily rainfall rfe rfe partial_Y min ∂Y precipitation from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.0E) to (52.0E) by 0.05 N= 621 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- prcp_dailyrate_max100_smooth
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- lwe_precipitation_rate
- units
- 6.63145596216231×10-07 meter radian-1 north second-1
- history
- root mean sq min $partialdiff sub Y$ [ ENACTS version0 daily rainfall rfe ]
- min over Y[11.99675S, 22.20111N]
Averaged over T[1200 31 Dec 1980 - 1200 1 Jan 1981, 2400 31 Dec 2020] minimum 0.0% data present
- min over Y[11.99675S, 22.20111N]
Last updated: Mon, 22 Feb 2021 09:33:15 GMT
Data Views
Views
line plots
color bars
scatter
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