Optimum interpolation algorithms for ABI multiple channel radiance down-scaling processing

Haibing Sun; W. Wolf; T. King; Eric Maddy; Shanna Sampson

doi:10.1117/12.2029364

17 October 2013 Optimum interpolation algorithms for ABI multiple channel radiance down-scaling processing

Haibing Sun, W. Wolf, T. King, Eric Maddy, Shanna Sampson

Proceedings Volume 8890, Remote Sensing of Clouds and the Atmosphere XVIII; and Optics in Atmospheric Propagation and Adaptive Systems XVI; 88900E (2013) https://doi.org/10.1117/12.2029364
Event: SPIE Remote Sensing, 2013, Dresden, Germany

Abstract

The Advanced Baseline Imager (ABI) is the primary instrument onboard GOES-R for imaging Earth’s weather, climate, and environment and will be used for a wide range of applications related to weather, oceans, land, climate, and hazards (fires, volcanoes, hurricanes, and storms that spawn tornados). It will provide over 65% of all the mission data products currently defined. ABI views the Earth with 16 different spectral bands, including two visible channels, four nearinfrared channels and ten infrared channels at 0.5, 1, and 2 km spatial resolutions respectively. For most of the operational ABI retrieval algorithms, the collocated/co-registered radiance dataset are at 2 km resolution for all of the bands required. This requires down-scaling of the radiance data from 0.5 or 1 km to 2 km for ABI visible and near-IR bands (2 or 1, 3 & 5 respectively), the reference of 2 km is the nominal resolution at the satellite sub-point. In this paper, the spatial resolution characteristic of the ABI fixed grid level1b radiance data is discussed. An optimum interpolation algorithm which has been developed for the ABI multiple channel radiance down-scaling processing is present.

Citation Download Citation

Haibing Sun, W. Wolf, T. King, Eric Maddy, and Shanna Sampson "Optimum interpolation algorithms for ABI multiple channel radiance down-scaling processing", Proc. SPIE 8890, Remote Sensing of Clouds and the Atmosphere XVIII; and Optics in Atmospheric Propagation and Adaptive Systems XVI, 88900E (17 October 2013); https://doi.org/10.1117/12.2029364

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