served from IRI/LDEO Climate Data Library
NOAA NCEP CPC UNIFIED_PRCP GAUGE_BASED CONUS v1p0 REALTIME rain: Precipitation data
GAUGE_BASED CONUS v1p0 REALTIME Precipitation from NOAA NCEP CPC UNIFIED_PRCP: CPC Unified Precipitation Analyses.Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1960-01-01 00:00:00) ordered (1200 31 Dec 2006 - 1200 1 Jan 2007) to (1200 30 Nov 2024 - 1200 1 Dec 2024) by 1.0 N= 6545 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (129.875W) to (55.125W) by 0.25 N= 300 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (20.125N) to (49.875N) by 0.25 N= 120 pts :grid
Other Info
- bufferwordsize
- 4
- datatype
- realarraytype
- missing_value
- -999.0
- pointwidth
- 1
- scale_factor
- 0.1
- standard_name
- lwe_precipitation_rate
- units
- mm /day
- standard units*
- 1.15740740740741×10-08 meter second-1
References
Xie, P., A. Yatagai, M. Chen, T. Hayasaka, Y. Fukushima, C. Liu, and S. Yang (2007). A gauge-based analysis of daily precipitation over East Asia, Journal of Hydrometeorology, 8, 607-627.Chen, M., W. Shi, P. Xie, V. B. S. Silva, V E. Kousky, R. Wayne Higgins, and J. E. Janowiak (2008), Assessing objective techniques for gauge-based analyses of global daily precipitation, J. Geophys. Res., 113, D04110, doi:10.1029/2007JD009132.
Chen, M., P. Xie, and Co-authors (2008), CPC Unified Gauge-based Analysis of Global Daily Precipitation, Western Pacific Geophysics Meeting, Cairns, Australia, 29 July - 1 August, 2008.
Last updated: Mon, 02 Dec 2024 17:27:20 GMT
Expires: Tue, 03 Dec 2024 17:20:00 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 UNIFIED_PRCP GAUGE_BASED CONUS v1p0 REALTIME rain[ 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