served from maproom.nimet.gov.ng
max ∂X ∫dT [ NiMet CIPH CSMT PcpnCondProb ] : ∂X Percent Occurrence of Precipitation Condition in Historical Record data
PcpnCondProb int_dT partial_X ∂X Percent Occurrence of Precipitation Condition in Historical Record from NiMet CIPH CSMT: Climatic Suitability for a Malaria Transmission. isIndependent Variables (Grids)
Other Info
- CE
- 100.0
- CI
- 25.0
- CS
- 0.0
- datatype
- realarraytype
- file_missing_value
- -99.0
- fnname
- flagge
- maxncolor
- 254
- missing_value
- NaN
- units
- 4.77464829275686 radian-1 east year
- history
- $partialdiff sub X$ $integral dT$ [ NiMet CIPH CSMT PcpnCondProb ]
- Boxes with less than 0.0% dropped
Averaged over T2[1981, 2024] minimum 0.0% data present
max $partialdiff sub X$ $integral dT$ [ NiMet CIPH CSMT PcpnCondProb ]- max over X[2.41875E, 14.90625E] Y[3.975N, 14.1N] 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, 14 Feb 2025 14:55:22 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