Round 3. Let's determine what factors we want to use to build a better model for attrition. This third approach will use actual climatic values for a given day to calculate attrition rather than arbitrary designations for season or region. Values will be randomly determined using bounds from the Köppen-Geiger climate classification and/or world climate data.
Attrition will be broken into two components, climate and route conditions. Within each component, smaller cumulative elements will sum to a total factor, then each factor will be multiplied by a baseline value (yesterday's attrition value). I'll get into the math in a following post.
Humidity - Low humidity (especially combined with cold air) will dry out the throat and lungs, causing respiratory stress and increasing susceptibility to disease. High humidity reduces the body's ability to cool, compounding heat stress.
Temperature - As a body heats up, it suffers from a multitude of debilitating and progressively fatal symptoms related to heat stress. Lower temperatures are dangerous to a lesser degree than higher temperatures, but will eventually lead to death all the same.
Storms and Frontal Changes as represented by Precipitation - This will be a catch all for storm activity in general, from a hailstorm to snow accumulation and sudden changes in weather conditions.
Major climatic factors sourced from Climate effects on human health, Kalkstein, L. S., and K. M. Valimont, EPA Science and Advisory Committee Monograph no. 25389, 122-52. Washington, D.C.: U.S. Environmental Protection Agency.
Pardon the horrible citation, I can get away without using MLA or APA style here :D