Dynamic predictive clothing insulation models based on outdoor air and indoor operative temperatures

► We developed two models to dynamically predict clothing insulation levels, Radj2 = 0.19-0.22. ► Winter clothing insulation values are significantly lower than 1.0 clo. ► In California occupants dress equally in naturally and mechanically conditioned buildings. ► Clothing values are correlated with outdoor air and indoor operative temperatures. ► Climate variables explain only a small part of human clothing behavior.