served from 181.199.253.14
mean detrended-bfl ∂Y [ Hydromet CIPH CSMT PcpnCondProb ] : ∂Y Percent Occurrence of Precipitation Condition in Historical Record data
PcpnCondProb partial_Y adif ∂Y Percent Occurrence of Precipitation Condition in Historical Record from Hydromet CIPH CSMT: Climatic Suitability for a Malaria Transmission. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- CI
- 25.0
- CS
- null
- datatype
- doublearraytype
- fnname
- flagge
- maxncolor
- 254
- missing_value
- NaN
- units
- 57.2957795130823 radian-1 north
- history
- detrended-bfl $partialdiff sub Y$ [ Hydromet CIPH CSMT PcpnCondProb ]
- Boxes with less than 0.0% dropped
Averaged over T2[1991, 2020] minimum 0.0% data present
mean detrended-bfl $partialdiff sub Y$ [ Hydromet CIPH CSMT PcpnCondProb ]- Averaged over X[61.55W, 56.45W] Y[0.975N, 8.525N] T[Jan, Dec] minimum 0.0% data present
- Boxes with less than 0.0% dropped
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: Wed, 09 Jul 2025 13:02:39 GMT
Expires: Fri, 11 Jul 2025 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