root mean sq anom detrended-bfl [ ∫dT ( ENACTS version0 dekadal climatologies rfe_stddev ) climatology ] : Dekadal rainfall 1981-2010 standard deviation data
dekadal climatologies rfe_stddev int_dT int_dT adif Dekadal rainfall 1981-2010 standard deviation from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.
Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) periodic (0000 1 Jan) to (2359 20 Dec) by 0.333333 N= 36 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.775S) to (23.125N) by 0.05 N= 699 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- cmorph_dekad_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 86.4 meter second
- history
- detrended-bfl [ $integral dT$ ( ENACTS version0 dekadal climatologies rfe_stddev ) climatology ]
- Averaged over T2[18.5, 1062.5] minimum 0.0% data present
Averaged over T2=0000 26 Dec 1980 - 0000 26 Dec 1981 minimum 0.0% data present
root mean sq anom detrended-bfl [ $integral dT$ ( ENACTS version0 dekadal climatologies rfe_stddev ) climatology ] - Averaged over X[21.855E, 51.455E] minimum 0.0% data present
Last updated: Mon, 28 Oct 2024 09:31:03 GMT
Expires: Fri, 11 Oct 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 Y
T
- Differentiate along Y
T
- Take differences along Y
T
Average over
Y
T
|
Y T
|
RMS (root mean square with mean *not* removed) over
Y
T
|
Y T
|
RMSA (root mean square with mean removed) over
Y
T
|
Y T
|
Maximum over
Y
T
|
Y T
|
Minimum over
Y
T
|
Y T
|
Detrend (best-fit-line) over
Y
T
|
Y T
|
Note on units