A new paper led by Dr. Do Ngoc Khanh is published at Geophysical Research Letters. The work employed 1-D non-dimensional analyses to quantify the bulk effect of large city’s worldwide to their immediate near-surface temperature. The work also utilized statistical methods (e.g. Bayesian Inference) to quantify the uncertainties of the influence of air temperatures.
Echoing age-old realizations from various scientific branches, despite the non-linear interactions in nature, simple models may help reveal similarity laws. This recent work is one of them demonstrating such scientific approaches, while stating the limitations and on-going challenges and opportunities for future works.
The inputs to the analyses were obtained using numerical weather prediction modelling of 43 largest cities worldwide (see past developmental works).
Dr. Khanh is currently a postdoctoral researcher at Shibaura Institute of Technology.
English 
日本語