served from IRI/LDEO Climate Data Library
∂T [ NOAA NCEP CPC GSOD MONTHLY DCNTS 6hour with_precip_est count anomalies ]: ∂T count data
MONTHLY DCNTS 6hour with_precip_est count count ∂T count from NOAA NCEP CPC GSOD: Global Summary of the Day station observations.Independent Variables (Grids)
- IWMO
- grid: /IWMO (ids) unordered [ (10010) (10050) (10060) ... (63S)] N= 10495 pts :grid
- Time
- grid: /T (months since 1960-01-01) ordered (16 Jan 1979 - 15 Feb 1979) to (16 Nov 1996 - 15 Dec 1996) by 1.0 N= 215 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- missing_value
- NaN
- molydesc
- number of 6 hour periods that precipitation estimated
- molyid
- 32
- molyname
- N6HE
- units
- 12 year-1
- history
- Averaged over T2[1979, 1996] minimum 0.0% data present
Last updated: Mon, 12 Sep 2016 21:15:26 GMT
Data Views
Views
data as colors
data as contours| IWMO | T | |
 $partialdiff sub T$ [ NOAA NCEP CPC GSOD MONTHLY DCNTS 6hour with_precip_est count anomalies ][ T | IWMO] | M | M |
|---|
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 T IWMO
- Differentiate along T IWMO
- Take differences along T IWMO
RMS (root mean square with mean *not* removed) over T IWMO | T IWMO |
RMSA (root mean square with mean removed) over T IWMO | T IWMO |
Maximum over T IWMO | T IWMO |
Minimum over T IWMO | T IWMO |
Detrend (best-fit-line) over T IWMO | T IWMO |
Note on units