In this work we present a physically-based optical model of the atmosphere, that takes into account the seasonal and geographic variation of its composition. Based on data from the atmospheric science literature, we build a highly detailed the composition of the atmosphere, and how it varies depending on the position of the observer, or the time of the year. Then, based on precise measurements of the optical properties of the components of the atmosphere, we map our model into a radiative model, which can be rendered in any existing volumetric renderer. We demonstrate our model in multispectral renders of daylight sky-domes, showing the changes in the appearance occurring when varying the season or location of the observer.



@InProceedings{Guimera2018spatio, Title = {A Spatio-Temporal Physically-Based Sky Model}, Author = {David Guimera and Diego Gutierrez and Adrian Jarabo}, Booktitle = {Proceedings of CEIG '18}, Year = {2018}, }




We thank Philip Laven for providing the software MiePlot. This project has been funded by the European Research Council (ERC) under the EU’s Horizon 2020 research and innovation programme (project CHAMELEON, grant No 682080), DARPA (project REVEAL), and the Spanish Ministerio de Economía y Competitividad (project TIN2016-78753-P).