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CMC CC-ECU Precip FirstGuess CHIRPS_30k
CHIRPS_30k from CMC CC-ECU Precip FirstGuess: Ecuador, CHIRPS Interpolated, 1985-2015 daily .Independent Variables (Grids)
- Time
- grid: /T (days since 1985-01-01 00:00) ordered (1 Jan 1985) to (31 Dec 2015) by 1.0 N= 11322 pts :grid
- Longitude
- grid: /X (degree_east) ordered (93W) to (75.10145W) by 0.2753623 N= 66 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (5.142857S) to (2N) by 0.2857143 N= 26 pts :grid
Other Info
- CE
- 100.0
- colorscalename
- prcp_dailyrate_max100_smooth
- CS
- 0.0
- datatype
- realarraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- scale_max
- 100.0
- scale_min
- 0.0
- units
- mm /day
- standard units*
- 1.15740740740741×10-08 meter second-1
- colorscale
Last updated: Thu, 03 Nov 2022 11:43:51 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 CMC CC-ECU Precip FirstGuess CHIRPS_30k[ 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