Validation of a UV-to-RF high-spectral-resolution atmospheric boundary layer characterization tool
This paper demonstrates the capability of the Laser Environmental Effects Definition and Reference (LEEDR) model to accurately characterize the meteorological parameters and radiative transfer effects of the atmospheric boundary layer with surface observations or climatological values of temperature, pressure, and humidity (“climatology”). The LEEDR model is a fast-calculating, first-principles, worldwide surface-to-100-km, ultraviolet-to-radio-frequency (UV to RF) wavelength, atmospheric characterization package. In general, LEEDR defines the well-mixed atmospheric boundary layer with a worldwide, probabilistic surface climatology that is based on season and time of day and, then, computes the radiative transfer and propagation effects from the vertical profile of meteorological variables. The LEEDR user can also directly input surface observations. This research compares the LEEDR vertical profiles created from input surface observations or numerical weather prediction (NWP) data with the LEEDR climatological profile for the same time of day and season. The different profiles are compared with truth radiosonde data, and the differences from truth are found to be smaller for profiles created from surface observations and NWP than for those made from climatological data for the same season and time. In addition, this research validates LEEDR’s elevated aerosol extinction profile vertical structure against observed lidar measurements and details the advantages of using NWP data for atmospheric profile development. The impacts of these differences are demonstrated with a potential tactical high-energy-laser engagement simulation.
Abstract © American Meteorological Society
Journal of Applied Meteorology and Climatology
Fiorino, S. T., Randall, R. M., Via, M. F., & Burley, J. L. (2014). Validation of a UV-to-RF High-Spectral-Resolution Atmospheric Boundary Layer Characterization Tool. Journal of Applied Meteorology and Climatology, 53(1), 136–156. https://doi.org/10.1175/JAMC-D-13-036.1