For the background mean temperature, the model reproduces the latitudinal temperature gradients quite well.
By comparing the temperatures from that model with temperatures from the model that included only atmospheric changes, the researchers were able to suss out the effect of the ocean temperatures.
Large deviations in the observed temperature from the model temperature are observed around the midwinter period.
Confounding due to meteorology and seasonal lymphocyte patterns was accounted for by including 3- or 45-day averages of temperature or season, or both season and temperature in the model.
For example, if we included mean annual temperature in the model, but not temperature range, then the significant correlations between mean annual temperature and ALC storage were found.
We applied panel data regression techniques and used the variables per capita crop arability, livestock, rainfall (both linear and quadratic) and temperature in the model to estimate the effect of climate variability on child wasting, underweight and stunting.
It shows that for predicting the statistics of velocity, temperature and major species, both the FSD model and the DTF model predict very similar results for the flames under consideration.
Based on this reasoning, we chose to control for minimum temperature in the model.
The properties λeff and αw are lumped parameters which usually are determined by both the measured temperature profiles and the model used to calculate the temperature profiles from λeff and αw.
The coefficients in the models without temperature showed that the model without temperature exaggerated the effect of the law.
