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max ∫dT [ NiMet CIPH CSMT TempCondProb ] : Percent Occurrence of Temperature Condition in Historical Record data
TempCondProb TempCondProb TempCondProb int_dT Percent Occurrence of Temperature Condition in Historical Record from NiMet CIPH CSMT: Climatic Suitability for a Malaria Transmission. isIndependent Variables (Grids)
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
- days
- standard units*
- 86400 second
- history
- $integral dT$ [ NiMet CIPH CSMT TempCondProb ]
- Boxes with less than 100.0% dropped
Averaged over T2[1981, 2024] minimum 0.0% data present
max $integral dT$ [ NiMet CIPH CSMT TempCondProb ]- max over X[2.4E, 14.925E] Y[3.99375N, 14.08125N] T[1200 16 Dec 1959 - 1200 16 Jan 1960, 1200 16 Dec 1960 - 1200 16 Jan 1961]
- Boxes with less than 100.0% dropped
- colorscale
References
page 0: illegal page type or format PANIC: Invalid argument PANIC: fatal region error detected; run recovery PANIC: fatal region error detected; run recovery Grover-Kopec_etal2006Last updated: Mon, 17 Feb 2025 14:29:37 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