root mean sq   detrended-bfl   ∫dY   ∫dX [ Malawi dekadal rainfall rfe_mergeddiff ]      :  Rainfall Anomaly data
root mean sq   detrended-bfl   
∫dY   ∫dX [ Malawi dekadal rainfall rfe_mergeddiff ]      .
Independent Variables (Grids)
- Time
-     grid: /T  (days since 1960-01-01) ordered [ (1-10 Jan 1981) (11-20 Jan 1981) (21-31 Jan 1981) ... (21-31 Dec 2020)] N= 1440 pts :grid
- Latitude (latitude)
-     grid: /Y  (degree_north) ordered (17.30625S) to (9.318749S) by 0.0375 N= 214 pts :grid
Other Info
- bufferwordsize
-  8
- CE
-  null
- CS
-  null
- datatype
- doublearraytype
- file_missing_value
-  -99.0
- maxncolor
-  254
- missing_value
-  NaN
- units
- 3.04617419786709×10-07 meter radian2 north
- history 
- root mean sq   detrended-bfl   $integral dY$   $integral dX$ [ Malawi dekadal rainfall rfe_mergeddiff ]      - Averaged over T2[0.5, 1080.5] minimum 0.0% data present
 Averaged over X[32.60625E, 36.01875E] minimum 0.0% data present
 
Last updated:  Thu, 02 Nov 2023 13:29:44 GMT
Expires:  Sat, 11 Nov 2023 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