A probabilistic neural-network emulator of CRTM for the GOES ABI predicts brightness temperatures with about 0.3 K RMSE and provides calibrated uncertainty estimates.
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Probabilistic Emulation of the Community Radiative Transfer Model Using Machine Learning
A probabilistic neural-network emulator of CRTM for the GOES ABI predicts brightness temperatures with about 0.3 K RMSE and provides calibrated uncertainty estimates.