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detrended-bfl [ AGRHYMET SATELLITE MESA Temperature LST journalier maximum 1d_maxlst ]: maximum journalier data
MESA Temperature LST journalier maximum 1d_maxlst maximum journalier from AGRHYMET SATELLITE: Donnees satellitaires issues de MESA, ORET. MERGED-DATA d\'AGRHYMET.Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1970-01-01) ordered (8 Jul 2005) to (12 Apr 2016) by 1.0 N= 3932 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (26.00893W) to (59.99107E) by 0.02678293 N= 3212 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (37.98214N) to (34.99107S) by 0.02678899 N= 2725 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- pointwidth
- 1.0
- units
- unitless
Last updated: Tue, 24 Apr 2018 19:28:02 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 detrended-bfl [ AGRHYMET SATELLITE MESA Temperature LST journalier maximum 1d_maxlst ][ 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 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