Liangzhu (Leon) Wang and his PhD student Cheng-Chun Lin from the Department of Building, Civil and Environment Engineering have been awarded the 2013 Best Paper Award from the journal Building and Environment for the paper "Forecasting simulations of indoor environment using data assimilation via an Ensemble Kalman Filter." Their paper discussed the Ensemble Kalman Filter (EnKF), a data assimilation method originally designed for weather forecasting. Theirs was one of the first ever applications of this method to the indoor environment. The award is given to papers based on "originality, contributions to the field, quality of presentation, and soundness of the science."