期刊
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
卷 26, 期 3, 页码 570-581出版社
AMER METEOROLOGICAL SOC
DOI: 10.1175/2008JTECHO596.1
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资金
- NERC [NE/D001129/1] Funding Source: UKRI
- Natural Environment Research Council [NE/D001129/1] Funding Source: researchfish
This paper describes the techniques used to obtain sea surface temperature (SST) retrievals from the Geostationary Operational Environmental Satellite 12 (GOES-12) at the National Oceanic and Atmospheric Administration's Office of Satellite Data Processing and Distribution. Previous SST retrieval techniques relying on channels at 11 and 12 mm are not applicable because GOES-12 lacks the latter channel. Cloud detection is performed using a Bayesian method exploiting fast-forward modeling of prior clear-sky radiances using numerical weather predictions. The basic retrieval algorithm used at nighttime is based on a linear combination of brightness temperatures at 3.9 and 11 mu m. In comparison with traditional split window SSTs (using 11- and 12-mu m channels), simulations show that this combination has maximum scatter when observing drier colder scenes, with a comparable overall performance. For daytime retrieval, the same algorithm is applied after estimating and removing the contribution to brightness temperature in the 3.9-mu m channel from solar irradiance. The correction is based on radiative transfer simulations and comprises a parameterization for atmospheric scattering and a calculation of ocean surface reflected radiance. Potential use of the 13-mu m channel for SST is shown in a simulation study: in conjunction with the 3.9-mu m channel, it can reduce the retrieval error by 30%. Some validation results are shown while a companion paper by Maturi et al. shows a detailed analysis of the validation results for the operational algorithms described in this present article.
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