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max mean [ ENACTS version0 CIPH CSMT TempCondProb ] : Percent Occurrence of Temperature Condition in Historical Record data
TempCondProb TempCondProb TempCondProb Percent Occurrence of Temperature Condition in Historical Record from ENACTS version0 CIPH CSMT: Climatic Suitability for a Malaria Transmission. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- CI
- 25.0
- correlation_decay_distance
- 1200.0
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 9.96920997E36
- fnname
- flagge
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1
- standard_name
- air_temperature
- units
- unitless
- history
- ENACTS version0 monthly temperature tmean
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
X regridded on UEA CRU TS3p21 monthly tmp
Y regridded on UEA CRU TS3p21 monthly tmp
ENACTS version0 CIPH CSMT TempCondProb- Averaged over T2[1981, 2012] minimum 0.0% data present
mean [ ENACTS version0 CIPH CSMT TempCondProb ]- Averaged over X[20.975E, 52.025E] T[16 Jan - 15 Feb, 16 Dec - 15 Jan] minimum 0.0% data present
max mean [ ENACTS version0 CIPH CSMT TempCondProb ]- max over Y[12S, 22.2N]
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
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: Fri, 26 Jul 2024 12:21:16 GMT
Data Views
 ENACTS version0 CIPH CSMT[RHCondProb
TempCondProb
Annual_Sum
AllCondProb
PcpnCondProb
] |
 max mean [ ENACTS version0 CIPH CSMT TempCondProb ] [ |] |
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