served from IRI/LDEO Climate Data Library
detrended-bfl [ NOAA NCEP CPC UNIFIED_PRCP GAUGE_BASED GLOBAL v1p0 RETRO gnum ]: Number of Gauges Available in Each Grid Box data
GAUGE_BASED GLOBAL v1p0 RETRO gnum Number of Gauges Available in Each Grid Box 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 (0000 1 Jan 1979) to (0000 31 Dec 2005) by 1.0 N= 9862 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
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 0
- units
- number of gauges
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: Fri, 18 Sep 2015 18:39:07 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
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