served from IRI/LDEO Climate Data Library
IRI Analyses Locust CMORPH monthlysum: Estimated precipitation data
Analyses Locust CMORPH monthlysum monthlysum monthlysum Estimated precipitation from IRI: International Research Institute for Climate and Society.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (Jan 2003) to (Apr 2019) by 1.0 N= 196 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (19.875W) to (94.875E) by 0.25 N= 460 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (3.875S) to (39.875N) by 0.25 N= 176 pts :grid
Other Info
- bufferwordsize
- 4
- CE
- 300
- colorscalename
- cmorph_dekad_colors
- CS
- 0
- datatype
- realarraytype
- file_missing_value
- -9999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- scale_max
- 300.0
- scale_min
- 0.0
- units
- mm /month
- standard units*
- 0.012 meter year-1
- history
- NOAA NCEP CPC CMORPH daily_calculated mean morphed cmorph
- T: 2100-2400 27 Oct 2015 to 2100-2400 21 May 2019 appended from NOAA NCEP CPC CMORPH V0px RAW 3-hourly [ prcp / 3. ]
Boxes with less than 0.0% dropped
Boxes with less than 100.0% dropped
- T: 2100-2400 27 Oct 2015 to 2100-2400 21 May 2019 appended from NOAA NCEP CPC CMORPH V0px RAW 3-hourly [ prcp / 3. ]
- colorscale
Last updated: Thu, 05 Oct 2017 04:15:35 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 IRI Analyses Locust CMORPH monthlysum[ 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