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max ∫dT [ NiMet CIPH CSMT PcpnCondProb ] : Percent Occurrence of Precipitation Condition in Historical Record data
PcpnCondProb PcpnCondProb PcpnCondProb int_dT Percent Occurrence of Precipitation Condition in Historical Record from NiMet CIPH CSMT: Climatic Suitability for a Malaria Transmission.Independent Variables (Grids)
- Time
- grid: /T (months since 01-Jan) ordered (16 Jan - 15 Feb) to (16 Jan - 15 Feb) by 1.0 N= 13 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (3.975N) to (14.1N) by 0.0375 N= 271 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
- months
- standard units*
- 0.0833333333333333 year
- history
- $integral dT$ [ NiMet CIPH CSMT PcpnCondProb ]
- Boxes with less than 0.0% dropped
Averaged over T2[1981, 2024] minimum 0.0% data present
max $integral dT$ [ NiMet CIPH CSMT PcpnCondProb ]- max over X[2.4E, 14.925E]
- Boxes with less than 0.0% dropped
- colorscale
References
Grover-Kopec_etal2006Last updated: Fri, 14 Feb 2025 14:55:22 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| T | Y | |
 max $integral dT$ [ NiMet CIPH CSMT PcpnCondProb ] [ Y T |] | M | M |
|---|
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 Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units