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min min [ ENACTS version0 CIPH CSMT PcpnCondProb ] : Percent Occurrence of Precipitation Condition in Historical Record data
PcpnCondProb min Percent Occurrence of Precipitation Condition in Historical Record from ENACTS version0 CIPH CSMT: Climatic Suitability for a Malaria Transmission. isIndependent Variables (Grids)
Other Info
- CE
- 100.0
- CI
- 25.0
- colorscalename
- precip_colors
- CS
- 0.0
- datatype
- realarraytype
- fnname
- flagge
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- scale_max
- 100.0
- scale_min
- 0.0
- units
- unitless
- history
- min [ ENACTS version0 CIPH CSMT PcpnCondProb ]
- Averaged over T2[1981, 2023] minimum 0.0% data present
min over X[21.855E, 51.455E] Y[11.775S, 23.125N]
min min [ ENACTS version0 CIPH CSMT PcpnCondProb ]- min over T[Jan, Dec]
- Averaged over T2[1981, 2023] minimum 0.0% data present
- colorscale
References
Grover-Kopec, E. K., M. B. Blumenthal, P. N. Ceccato, T. Dinku, J. Omumbo, S. J. Connor, 2006: Web-based climate information resources for malaria control in Africa. Malaria Journal, 5:38.
Last updated: Thu, 16 May 2024 08:16:46 GMT
Expires: Mon, 10 Jun 2024 00:00:00 GMT
Data Views
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units