served from kmddl.meteo.go.ke
root mean sq anom root mean sq ∫dY [ KMD Kenya_v03 dekadal climatologies rfe ] : Dekadal rainfall climatology 1981-2010 average data
root mean sq anom root mean sq ∫dY [ KMD Kenya_v03 dekadal climatologies rfe ] . isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- prcp_dailyrate_max100_smooth
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- units
- 1.74532925199433×10-05 meter radian north
- history
- $integral dY$ [ KMD Kenya_v03 dekadal climatologies rfe ]
- Boxes with less than 0.0% dropped
Averaged over T2[0.5, 1080.5] minimum 0.0% data present
root mean sq $integral dY$ [ KMD Kenya_v03 dekadal climatologies rfe ]- Averaged over T[1-10 Jan, 2400 31 Dec] minimum 0.0% data present
root mean sq anom root mean sq $integral dY$ [ KMD Kenya_v03 dekadal climatologies rfe ]- Averaged over X[32.025E, 42.975E] Y[6S, 6N] minimum 0.0% data present
- Boxes with less than 0.0% dropped
Last updated: Wed, 29 May 2024 07:29:02 GMT
Data Views
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units