A Fast Visible Wavelength 3-D Radiative Transfer Procedure for NWP Visualization and Forward Modeling

Abstract

Abstract. Solar radiation is the ultimate source of energy for all atmospheric motions. The visible wavelength range of solar radiation represents a significant contribution to the Earth’s energy budget and visible light is a vital indicator for the composition and thermodynamic processes of the atmosphere from the smallest weather to the largest climate scales. The accurate and fast description of light propagation in the atmosphere and its lower boundary environment is therefore of critical importance for the simulation and prediction of weather and climate. Simulated Weather Imagery (SWIm) is a new, fast and physically based visible wavelength 3-dimensional radiative transfer model. Given the location and intensity of the sources of light (natural or artificial) and the composition (e.g., clear or turbid air with aerosols, liquid or ice clouds, and precipitating rain, snow, or ice hydrometeors) of the atmosphere, it describes the propagation of light and produces visually and physically realistic hemispheric or 360° spherical panoramic color images of the atmosphere and the underlying terrain from any specified vantage point either on or above the Earth's surface. Applications of SWIm include the visualization of atmospheric and land surface conditions simulated or forecast by numerical weather or climate analysis and prediction systems for either scientific or lay audiences. Simulated SWim imagery can also be generated for and compared with observed camera images to (i) assess the fidelity, (ii) and improve the performance of numerical atmospheric and land surface models, as well as (iii) through their inclusion into an observational data assimilation scheme, improve the estimate of the state of atmospheric and land surface initial conditions for situational awareness and NWP forecast initialization applications.

<i>A Tale of Two Dust Storms</i>: analysis of a complex dust event in the Middle East

“…Additional papers exploring diverse topics, including model-based aerosol distribution and property sensitivity analyses (Bukowski et al, 2019;Saleeby et al, 2019) and new three-dimensional model visualization approaches (Albers et al, 2019), augment the HAALE-MURI research conducted for this case study. Interested researchers are encouraged to contact the authors of this paper and others of the ACP/AMT special issue to collaborate on aerosol remote sensing techniques, process characterization and forecasting topics of mutual interest.…”