The Line-by-Line Radiative Transfer Model (LBLRTM) is a product of Atmospheric and Environmental Research, Incorporated (AER). The LBLRTM is based on the FASCODE line-by-line model, wherein the radiative transfer aspect of the code has been substantially rewritten to support operation on vector processing platforms. A radiance algorithm has been used to treat the vertically inhomogeneous atmospheres resulting in substantially improved accuracy, and the model is directly applicable to longwave cooling rate calculations.
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Primary Derived Measurements
Turner D and W Blumberg. 2019. "Improvements to the AERIoe Thermodynamic Profile Retrieval Algorithm." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(5), 10.1109/JSTARS.2018.2874968.
Feldman D, W Collins, S Biraud, M Risser, D Turner, P Gero, J Tadić, D Helmig, S Xie, E Mlawer, T Shippert, and M Torn. 2018. "Observationally derived rise in methane surface forcing mediated by water vapour trends." Nature Geoscience, 11, 10.1038/s41561-018-0085-9.
Blumberg WG, TJ Wagner, DD Turner, and J Correia. 2017. "Quantifying the Accuracy and Uncertainty of Diurnal Thermodynamic Profiles and Convection Indices Derived from the Atmospheric Emitted Radiance Interferometer." Journal of Applied Meteorology and Climatology, 56(10), 10.1175/JAMC-D-17-0036.1.
Dzambo A, D Turner, and E Mlawer. 2016. "Evaluation of two Vaisala RS92 radiosonde solar radiative dry bias correction algorithms." Atmospheric Measurement Techniques, 9(4), 10.5194/amt-9-1613-2016.
Smith W, S Green, M Howard, M Yesalusky, and N Modlin. 2016. Atmospheric Line of Site Experiment (ALOSE) Final Campaign Summary. Ed. by Robert Stafford, DOE ARM Climate Research Facility. DOE/SC-ARM-15-053.
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