served from 181.199.253.14
min ∫dT [ Hydromet CIPH CSMT TempCondProb ] : Percent Occurrence of Temperature Condition in Historical Record data
TempCondProb int_dT Percent Occurrence of Temperature Condition in Historical Record from Hydromet CIPH CSMT: Climatic Suitability for a Malaria Transmission. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- 100.0
- CI
- 25.0
- colorscalename
- windspeed_colors
- CS
- 0.0
- datatype
- doublearraytype
- file_missing_value
- -99.0
- fnname
- flagge
- maxncolor
- 254
- missing_value
- NaN
- units
- months
- standard units*
- 0.0833333333333333 year
- history
- $integral dT$ [ Hydromet CIPH CSMT TempCondProb ]
- Boxes with less than 0.0% dropped
Averaged over T2[1991, 2020] minimum 0.0% data present
min $integral dT$ [ Hydromet CIPH CSMT TempCondProb ]- min over X[61.525W, 56.475W] Y[0.975N, 8.525N] T[0000 1 Jan 1960, 0000 1 Jan 1961]
- Boxes with less than 0.0% dropped
- 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: Fri, 26 Jan 2024 17:34:42 GMT
Expires: Thu, 01 Feb 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