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Online Nonlinear Bias Correction in Ensemble Kalman Filter to Assimilate GOES‐R All‐Sky Radiances for the Analysis and Prediction of Rapidly Developing Supercells
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2022
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Source: Journal of Advances in Modeling Earth Systems, 14(3)
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Journal Title:Journal of Advances in Modeling Earth Systems
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Description:The present study introduces the online non-linear bias correction for the assimilation of all-sky GOES-16 Advanced Baseline Imager (ABI) channel 9 (6.9 μm) radiances in a rapidly cycled EnKF for convective scale data assimilation (DA). This study is the first to explore the use of the radar reflectivity as the anchoring observation for ABI all sky radiance assimilation. The online and offline nonlinear bias correction methods are compared and evaluated for a case of rapidly developing supercells over Oklahoma and Texas. The analysis and background of the online bias correction perform better than the offline approach during the suppression of spurious clouds and the establishment of non-precipitating and precipitating regions when the
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Source:Journal of Advances in Modeling Earth Systems, 14(3)
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ISSN:1942-2466;1942-2466;
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Rights Information:CC BY
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Compliance:Library
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