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AGRHYMET SATELLITE MESA Pluie FEWSNET_RFE anomalies Anomalies: anomalies data
MESA Pluie FEWSNET_RFE anomalies anomalies from AGRHYMET SATELLITE: Donnees satellitaires issues de MESA, ORET. MERGED-DATA d\'AGRHYMET.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (1-10 Jan 2000) (11-20 Jan 2000) (21-31 Jan 2000) ... (1-10 Aug 2018)] N= 670 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (26W) to (59.99998E) by 0.00892857 N= 9633 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (38N) to (35S) by 0.008928572 N= 8177 pts :grid
Other Info
- bufferwordsize
- 2
- CE
- 16
- CS
- -17
- datatype
- shortarraytype
- maxncolor
- 254
- pointwidth
- 0
- scale_max
- 16.0
- scale_min
- -17.0
- units
- unitless
- colorscale
Last updated: Tue, 24 Apr 2018 19:28:02 GMT
Expires: Tue, 01 May 2018 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 | |
 AGRHYMET SATELLITE MESA Pluie FEWSNET_RFE anomalies Anomalies[ X Y | T] | M | M | M |
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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 T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units