served from maproom.nimet.gov.ng
min ∫dY ∫dT [ NiMet CIPH CSMT TempCondProb ] : Percent Occurrence of Temperature Condition in Historical Record data
TempCondProb int_dT int_dY Percent Occurrence of Temperature Condition in Historical Record from NiMet CIPH CSMT: Climatic Suitability for a Malaria Transmission.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (2.4E) to (14.925E) by 0.03750001 N= 335 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (3.95625N) to (14.11875N) by 0.0375 N= 272 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- 100.0
- CI
- 25.0
- CS
- 0.0
- datatype
- doublearraytype
- file_missing_value
- -99.0
- fnname
- flagge
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.00145444104332861 radian north year
- history
- $integral dY$ $integral dT$ [ NiMet CIPH CSMT TempCondProb ]
- Boxes with less than 100.0% dropped
Averaged over T2[1981, 2024] minimum 0.0% data present
min $integral dY$ $integral dT$ [ NiMet CIPH CSMT TempCondProb ]- min over T[0000 1 Jan 1960, 0000 1 Jan 1961]
- Boxes with less than 100.0% dropped
- colorscale
References
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Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
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 X Y
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units