max root mean sq root mean sq anom [ ∫dT ( ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged ) climatology ] : Rainfall data Expressed as Percentages of the Long-Term Average data
dekadal rainfall rfe_merged_vs_meanrfe_merged int_dT int_dT int_dT int_dT Rainfall data Expressed as Percentages of the Long-Term Average from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.
is
Independent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- units
- 864 second
- history
- $integral dT$ [ ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged ] climatology
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over T2[0000 26 Dec 1980 - 0000 26 Dec 1981, 26 Dec 2022 - 25 Dec 2023]
root mean sq anom [ $integral dT$ ( ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged ) climatology ]- Averaged over Y[11.775S, 23.125N]
root mean sq root mean sq anom [ $integral dT$ ( ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged ) climatology ] - Averaged over T[0000 1 Jan, 2359 20 Dec]
max root mean sq root mean sq anom [ $integral dT$ ( ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged ) climatology ] - max over X[21.855E, 51.455E]
Last updated: Thu, 16 May 2024 08:15:58 GMT
Expires: Sat, 11 May 2024 00:00:00 GMT
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
Average over
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