Climate Envelope Screen
Screen climate observations against a caller-defined suitability envelope, not a transmission prediction.
Description
A rectangular climate envelope tests whether both temperature and precipitation fall within supplied intervals.
A rectangular climate envelope tests whether both temperature and precipitation fall within supplied intervals. It is a simple screening rule rather than a fitted ecological model.
The tool returns temperatureWithinEnvelope (temperature within envelope); precipitationWithinEnvelope (precipitation within envelope); withinEnvelope (within envelope). Input measurements and model parameters are supplied by the caller; the tool computes the stated summary rather than acquiring those measurements.
When to use Climate Envelope Screen
Use Climate Envelope Screen when you already have temperatureC, precipitationMm, minimumTemperatureC, maximumTemperatureC, minimumPrecipitationMm, maximumPrecipitationMm and want temperatureWithinEnvelope, precipitationWithinEnvelope, withinEnvelope. This is useful for checking a supplied calculation, documenting a measurement convention, or comparing observations prepared on the same basis.
How to use Climate Envelope Screen and understand its results
- Enter temperatureC, precipitationMm, minimumTemperatureC, maximumTemperatureC, minimumPrecipitationMm, maximumPrecipitationMm using the field table below. Match the units, ordering and data boundaries described in the calculation.
- Run the tool after checking the stated bounds and matching paired observations or categories. A malformed request gives a tool error rather than a usable measurement.
- Read temperatureWithinEnvelope, precipitationWithinEnvelope, withinEnvelope. Use the calculation and interpretation below to distinguish amounts, ratios, signs and decision flags where applicable.
- Review the supplied parameters and assumptions before using the result in a report or comparing it with another observation.
| Input field | Meaning | Value type and bounds | Requirement |
|---|---|---|---|
| temperatureC | Temperature c | number | Required |
| precipitationMm | Precipitation mm | number | Required |
| minimumTemperatureC | Minimum temperature c | number | Required |
| maximumTemperatureC | Maximum temperature c | number | Required |
| minimumPrecipitationMm | Minimum precipitation mm | number | Required |
| maximumPrecipitationMm | Maximum precipitation mm | number | Required |
Validate ordered bounds and nonnegative precipitation. Include both interval endpoints in the check.
within = Tmin ≤ temperature ≤ Tmax AND Pmin ≤ precipitation ≤ Pmax The symbols refer to the supplied quantities or generated values described above; unit conversions and comparison boundaries follow the stated implementation.
{
"input": {
"temperatureC": 25,
"precipitationMm": 100,
"minimumTemperatureC": 20,
"maximumTemperatureC": 30,
"minimumPrecipitationMm": 50,
"maximumPrecipitationMm": 150
},
"output": {
"temperatureWithinEnvelope": true,
"precipitationWithinEnvelope": true,
"withinEnvelope": true
}
}Limitations and assumptions
Bounds, averaging periods and location matching are supplied externally. A passing point does not establish vector presence or transmission suitability.
Numerical inputs must be finite. The tool checks its declared input shape and calculation constraints; those checks do not verify the quality, calibration or representativeness of the supplied observations.
Alternative or Complementary methods
Vectorial Capacity Model: Evaluate the classical vectorial capacity model m·a²·pⁿ/(−ln p) using explicit caller parameters. Rainfall Incidence Lag: Find the nonnegative rainfall-to-incidence lag with greatest paired Pearson correlation; not a causal estimate.
Methodological background: Deforestation and Vectorial Capacity of Anopheles gambiae Mosquitoes in Malaria Transmission, Kenya.1
References
-
Deforestation and Vectorial Capacity of Anopheles gambiae Mosquitoes in Malaria Transmission, Kenya — Afrane et al.; Emerging Infectious Diseases
Similar or alternative tools
- Vectorial Capacity Model
Evaluate the classical vectorial capacity model m·a²·pⁿ/(−ln p) using explicit caller parameters.
- Rainfall Incidence Lag
Find the nonnegative rainfall-to-incidence lag with greatest paired Pearson correlation; not a causal estimate.