Flexible, Longwave Radiative Transfer (FLRT) in Clear and Cloudy Atmospheres
Jennifer Delamere, Knut Stamnes, E. J. Mlawer, S. A. Clough
Abstract
Jennifer Delamere, Knut Stamnes, E. J. Mlawer, S. A. Clough
Abstract
This paper introduces a flexible, longwave radiative transfer tool (FLRT), which can be used to create a correlated-k, multiple-scattering model for inhomogeneous atmospheres. The spectral bandwidths can be chosen by the user within the 10 to 3000 wavenumber range. FLRT provides a mechanism from which rapid radiative transfer models (RRTMs) can be generated. Rapid radiative transfer models permit accelerated calculations of radiances, fluxes and cooling rates without comprising accuracy. Such models have a variety of atmospheric radiative transfer applications. One application includes modeling radiance measurements in spectral channels of satellite or ground-based sensors.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This paper introduces a flexible, longwave radiative transfer tool (FLRT), which can be used to create a correlated-k, multiple-scattering model for inhomogeneous atmospheres. The spectral bandwidths can be chosen by the user within the 10 to 3000 wavenumber range. FLRT provides a mechanism from which rapid radiative transfer models (RRTMs) can be generated. Rapid radiative transfer models permit accelerated calculations of radiances, fluxes and cooling rates without comprising accuracy. Such models have a variety of atmospheric radiative transfer applications. One application includes modeling radiance measurements in spectral channels of satellite or ground-based sensors.
Key concepts: Longwave, Radiative transfer, Radiance, Atmospheric radiative transfer codes, Remote sensing, Environmental science, Satellite, Radiative flux