served from IRI/LDEO Climate Data Library
∫dX [ NOAA NCEP CPC Merged_Analysis monthly latest ver2 prcp_est climatology ]: CMAP Estimated Precipitation data
prcp_est prcp_est CMAP Estimated Precipitation from NOAA NCEP CPC Merged_Analysis monthly latest ver2: using rain gauge and satellite estimates.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (0) to (0) by 2.5 N= 145 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (88.75S) to (88.75N) by 2.5 N= 72 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- standard_name
- lwe_precipitation_rate
- units
- 2.02005700462307×10-10 meter radian east second-1
- history
- Averaged over T2[1979, 2023] minimum 0.0% data present
References
Xie_Arkin1996Xie_Arkin1997
Last updated: Tue, 21 Jan 2020 14:48:31 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dX$ [ NOAA NCEP CPC Merged_Analysis monthly latest ver2 prcp_est climatology ][ 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