作者: Jiachen Ding , Ping Yang , Michael D. King , Steven Platnick , Xu Liu
DOI: 10.1016/J.JQSRT.2019.106667
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摘要: Abstract To infer atmospheric and oceanic constituent properties from polarimetric observations, an efficient accurate retrieval algorithm is desirable. In-line radiative transfer calculations are indispensable if a large state vector, including both profiles surface properties, used to improve accuracy. However, in-line usually not computationally for remote sensing applications. Therefore, there pressing need develop fast vector model (RTM) fully utilize spaceborne observations. This paper reports on RTM, referred as TAMU-VRTM, in support of sensing, which capable simulating the Stokes values observed at top atmosphere by considering absorption, scattering, emission ocean. Gaseous absorption parameterized with respect gas concentration, temperature, pressure, using regression method applicable inhomogeneous path. An two-component approach combining small-angle approximation adding-doubling utilized solve equation (RTE). The thermal component RTE solution obtained doubling process. air-sea interface treated wind-ruffled rough mimic realistic ocean surface. Several optical property models introduced inherent properties. demonstrate applicability simulations compared satellite results other methods benchmarks.