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Evaluating Ensemble Kalman Filter Analyses of Severe Hailstorms on 8 May 2017 in Colorado: Effects of State Variable Updating and Multimoment Microphysics Schemes on State Variable Cross Covariances

CITE Title : Evaluating Ensemble Kalman Filter Analyses of Severe Hailstorms on 8 May 2017 in Colorado: Effects of State Variable Updating and Multimoment Microphysics Schemes on State Variable Cross Covariances Personal Author(s) : Labriola, Jonathan;Snook, Nathan;Jung, Youngsun;Xue, Ming; Published Date : 2020 Source : Monthly Weather Review, 148(6), 2365-2389 DOI : https://doi.org/10.1175/mwr-d-19-0300.1 Journal Title : Monthly Weather Review Labriola, Jonathan et al. (2020). Evaluating Ensemble Kalman Filter Analyses of Severe Hailstorms on 8 May 2017 in Colorado: Effects of State Variable Updating and Multimoment Microphysics Schemes on State Variable Cross Covariances. 148(6). https://doi.org/10.1175/mwr-d-19-0300.1 Labriola, Jonathan et al. "Evaluating Ensemble Kalman Filter Analyses of Severe Hailstorms on 8 May 2017 in Colorado: Effects of State Variable Updating and Multimoment Microphysics Schemes on State Variable Cross Covariances" 148, no. 6 (2020), https://doi.org/10.1175/mwr-d-19-0300.1 Labriola, Jonathan et al. "Evaluating Ensemble Kalman Filter Analyses of Severe Hailstorms on 8 May 2017 in Colorado: Effects of State Variable Updating and Multimoment Microphysics Schemes on State Variable Cross Covariances" vol. 148, no. 6, 2020, https://doi.org/10.1175/mwr-d-19-0300.1 Export RIS Citation Information.

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Labriola, Jonathan

;

Snook, Nathan

2020 | Monthly Weather Review, 148(6), 2365-2389

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Ensemble Kalman filter (EnKF) analyses of the storms associated with the 8 May 2017 Colorado severe hail event using either the Milbrandt and Yau (MY)...
Calibration of Machine Learning–Based Probabilistic Hail Predictions for Operational Forecasting

CITE Title : Calibration of Machine Learning–Based Probabilistic Hail Predictions for Operational Forecasting Personal Author(s) : Burke, Amanda;Snook, Nathan;Gagne II, David John;McCorkle, Sarah;McGovern, Amy; Published Date : 2020 Source : Weather and Forecasting, 35(1), 149-168 DOI : https://doi.org/10.1175/WAF-D-19-0105.1 Journal Title : Weather and Forecasting Burke, Amanda et al. (2020). Calibration of Machine Learning–Based Probabilistic Hail Predictions for Operational Forecasting. 35(1). https://doi.org/10.1175/WAF-D-19-0105.1 Burke, Amanda et al. "Calibration of Machine Learning–Based Probabilistic Hail Predictions for Operational Forecasting" 35, no. 1 (2020), https://doi.org/10.1175/WAF-D-19-0105.1 Burke, Amanda et al. "Calibration of Machine Learning–Based Probabilistic Hail Predictions for Operational Forecasting" vol. 35, no. 1, 2020, https://doi.org/10.1175/WAF-D-19-0105.1 Export RIS Citation Information.

:

Burke, Amanda ;

Snook, Nathan

2020 | Weather and Forecasting, 35(1), 149-168

:

In this study, we use machine learning (ML) to improve hail prediction by postprocessing numerical weather prediction (NWP) data from the new High-Res...