served from IRI/LDEO Climate Data Library
NOAA NCEP CPC PRECL v1p0 deg0p5 gnum: number of gauges in each 0.5 deg lat/lon grid box data
number of gauges in each 0.5 deg lat/lon grid box from NOAA NCEP CPC PRECL v1p0 deg0p5: PRECL Monthly Mean Rainfall and Number of Gauges in 0.5x0.5 boxes (Version 1.0).Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1948) to (Nov 2024) by 1.0 N= 923 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (0.25E) to (0.25W) by 0.5 N= 720 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89.75S) to (89.75N) by 0.5 N= 360 pts :grid
Other Info
- datatype
- realarraytype
- missing_value
- -999.0
- pointwidth
- 0
- units
- count
- standard units*
- count
References
Chen, M., P. Xie, J. E. Janowiak, and P. A. Arkin, 2002: Global Land Precipitation: A 50-yr Monthly Analysis Based on Gauge Observations, J. of Hydrometeorology, 3, 249-266
Last updated: Wed, 04 Dec 2024 22:00:24 GMT
Expires: Wed, 01 Jan 2025 00:00:00 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 PRECL v1p0 deg0p5 gnum[ 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