Predicting the refractive index of amorphous materials using the Bruggeman effective medium approximation.
Applied optics 59:28 (2020) 8822-8827
Abstract:
Previous studies have shown that the Lorentz-Lorenz relationship, or molar refractivity/specific refractivity effective medium approximation, enables a reasonable prediction of the refractive index of amorphous water ice, given the refractive index of crystalline water ice. In the current study, we show that the Bruggeman effective medium approximation provides an even closer match to measurements of the refractive index of several amorphous materials, given the refractive index of their crystalline phase. We show that the Bruggeman effective medium approximation provides a good match to measurements of the refractive index of amorphous ice as well. Thus, assuming that the volume fraction of the scattering centers is a constant for a given amorphous material (with respect to a given range of wavelengths) seems to be a more robust assumption than assuming that the molar mass and molar refractivity or specific refractivity are preserved in going from the crystalline state to the amorphous state of the same material. Our results have implications for astrophysics applications, as well as for the optics of non-crystalline materials in general.The 2020 Climate Informatics Hackathon: Generating Nighttime Satellite Imagery from Infrared Observations
Association for Computing Machinery (ACM) (2020) 134-138
Constraint on precipitation response to climate change by combination of atmospheric energy and water budgets
npj Climate and Atmospheric Science Springer Nature 3 (2020) 34
Abstract:
Global mean precipitation is expected to increase with increasing temperatures, a process which is fairly well understood. In contrast, local precipitation changes, which are key for society and ecosystems, demonstrate a large spread in predictions by climate models, can be of both signs and have much larger magnitude than the global mean change. Previously, two top-down approaches to constrain precipitation changes were proposed, using either the atmospheric water or energy budget. Here, using an ensemble of 27 climate models, we study the relative importance of these two budgetary constraints and present analysis of the spatial scales at which they hold. We show that specific geographical locations are more constrained by either one of the budgets and that the combination of water and energy budgets provides a significantly stronger constraint on the spatial scale of precipitation changes under anthropogenic climate change (on average about 3000 km, above which changes in precipitation approach the global mean change). These results could also provide an objective way to define the scale of ‘regional’ climate change.Map Generation from Large Scale Incomplete and Inaccurate Data Labels
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining ACM (2020) 2514-2522
Quantifying the sensitivity of aerosol optical properties to the parameterizations of physico-chemical processes during the 2010 Russian wildfires and heatwave
Atmospheric Chemistry and Physics Copernicus GmbH 20:16 (2020) 9679-9700