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NOAA NCEP CPC CAMS_OPI v0208_old gauge count: NOAA NCEP CPC CAMS_OPI v0208_old gauge count data
v0208_old gauge NOAA NCEP CPC CAMS_OPI v0208_old gauge count from NOAA NCEP CPC CAMS_OPI: Climate Anomaly Monitoring System-Outgoing longwave radiation Precipitation Index.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1979) to (Jan 2005) by 1.0 N= 313 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (1.25E) to (1.25W) by 2.5 N= 144 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (88.75S) to (88.75N) by 2.5 N= 72 pts :grid
Other Info
- datatype
- realarraytype
- gridid
- 191846952
- missing_value
- -999.0
- pointwidth
- 1.0
- standard_name
- time
References
Janowiak, J. E. and P. Xie, 1999: CAMS_OPI: A Global Satellite-Rain Gauge Merged Product for Real-Time Precipitation Monitoring Applications. J. Climate, vol. 12, 3335-3342.
Last updated: Mon, 12 Sep 2016 21:28:39 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 NOAA NCEP CPC CAMS_OPI v0208_old gauge count[ 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 |