served from digilib.icpac.net
detrended-bfl ∫dT [ ENACTS version0 dekadal climatologies rfe_stddev ] anomalies: Dekadal rainfall 1981-2010 standard deviation data
dekadal climatologies rfe_stddev int_dT adif Dekadal rainfall 1981-2010 standard deviation from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.Independent Variables (Grids)
- Time
- grid: /T (days since 1981-01-01) (360) ordered [ (0000 1 Jan 1981)] :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.855E) to (51.455E) by 0.05 N= 593 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 ]
Averaged over T2[18.5, 1062.5] minimum 0.0% data present
- 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
- Averaged over T2[18.5, 1062.5] minimum 0.0% data present
- detrended-bfl $integral dT$ [ ENACTS version0 dekadal climatologies rfe_stddev ]
Last updated: Mon, 28 Oct 2024 09:31:03 GMT
Expires: Fri, 11 Oct 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 detrended-bfl $integral dT$ [ ENACTS version0 dekadal climatologies rfe_stddev ] anomalies 0000 1 Jan 1981[ X Y | T] | M | 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 X Y
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units