EvoLab does not take into consideration climate when calculating the Race Predictor, Marathon Level, Running Performance, or other EvoLab metrics as there is not, at this time, a way to do so and provide accurate data.
In order to accurately include climate into the EvoLab metrics/predictions, there are many data points that are necessary to consider such as wind, dew point, wet-bulb temperature, precipitation, cloud coverage and the most obvious factor, heat. In addition to this, it would be vital to measure those metrics in the precise location of your activity as any slight variance from one region to another would negatively impact the correctness of EvoLab's metrics (think of the small differences in the shade vs sun, on top of a hill or in a valley, on a peak vs at a trailhead). At this time, we have determined that no way of ensuring such accuracy with the mentioned temperature metrics to include in EvoLab's calculations.
The next necessary piece to including climate factors into EvoLab would be to establish a "standard" climate on to base the estimations. However, this becomes incredibly difficult to do as COROS users are all across the world in all different climates on any given day. We also have determined that there are too many factors in play to ensure accuracy if we were to allow for a user-specified climate for the EvoLab metrics to analyze, this adds another fold of external factors and hundreds (or thousands) of data points that may or may not be entirely accurate for the EvoLab algorithms to consider.
Lastly, the largest problem presented towards the inclusion of climate into EvoLab metrics is the physiological differences of how different bodies acclimate and deal with heat, cold, etc. Some individuals have higher sweat rates, dissipating heat quicker, or lose more/less sodium in their sweat than others, all of which greatly impact performance. For further clarity on this topic, there are many studies showing how taller runners do not tolerate heat as well in the marathon distance, which is only one of many factors that would play into how your EvoLab metrics might vary based upon environmental conditions.
For this reason, the inclusion of climate into EvoLab is something we would not be able to implement accurately. We always say that we would rather provide no data than inaccurate data, and this case unfortunately is no exception. If the available data, resources, and forecasting models were to ever change in the future to allow for accuracy in this regard, we may reassess our decision.