A Machine Learning‐Based Global Atmospheric Forecast Model von Arcomano, Troy, Szunyogh, Istvan, Pathak, Jaideep, Wikner, Alexander, Hunt, Brian R., Ott, Edward

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Combining machine learning with knowledge-based modeling for scalable forecasting and subgrid-scale closure of large, complex, spatiotemporal systems von Wikner, Alexander, Pathak, Jaideep, Hunt, Brian, Girvan, Michelle, Arcomano, Troy, Szunyogh, Istvan, Pomerance, Andrew, Ott, Edward

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Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter von Hunt, Brian R., Kostelich, Eric J., Szunyogh, Istvan

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A Hybrid Atmospheric Model Incorporating Machine Learning Can Capture Dynamical Processes Not Captured by Its Physics‐Based Component von Arcomano, Troy, Szunyogh, Istvan, Wikner, Alexander, Hunt, Brian R., Ott, Edward

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Using data assimilation to train a hybrid forecast system that combines machine-learning and knowledge-based components von Wikner, Alexander, Pathak, Jaideep, Hunt, Brian R., Szunyogh, Istvan, Girvan, Michelle, Ott, Edward

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A Technique for the Verification of Precipitation Forecasts and Its Application to a Problem of Predictability von Han, Fan, Szunyogh, Istvan

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A Hybrid Approach to Atmospheric Modeling That Combines Machine Learning With a Physics‐Based Numerical Model von Arcomano, Troy, Szunyogh, Istvan, Wikner, Alexander, Pathak, Jaideep, Hunt, Brian R., Ott, Edward

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How well can an ensemble predict the uncertainty in the location of winter storm precipitation? von Han, Fan, Szunyogh, Istvan

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Evaluation of a Coupled Modeling Approach for the Investigation of the Effects of SST Mesoscale Variability on the Atmosphere von Szunyogh, Istvan, Forinash, Eric, Gyarmati, Gyorgyi, Jia, Yinglai, Chang, Ping, Saravanan, R.

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Assessing the Performance of an Ensemble Forecast System in Predicting the Magnitude and the Spectrum of Analysis and Forecast Uncertainties von SATTERFIELD, Elizabeth, SZUNYOGH, Istvan

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Assimilation of Tropical Cyclone Observations: Improving the Assimilation of TCVitals, Scatterometer Winds, and Dropwindsonde Observations von Holt, Christina, Szunyogh, Istvan, Gyarmati, Gyorgyi, Leidner, S Mark, Hoffman, Ross N

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Predictability of the Performance of an Ensemble Forecast System: Predictability of the Space of Uncertainties von SATTERFIELD, Elizabeth, SZUNYOGH, Istvan

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On the Propagation of Information and the Use of Localization in Ensemble Kalman Filtering von YOON, Young-Noh, OTT, Edward, SZUNYOGH, Istvan

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A Morphing-Based Technique for the Verification of Precipitation Forecasts von Han, Fan, Szunyogh, Istvan

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A composite state method for ensemble data assimilation with multiple limited-area models von Kretschmer, Matthew, Hunt, Brian R., Ott, Edward, Bishop, Craig H., Rainwater, Sabrina, Szunyogh, Istvan

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Simultaneous global and limited-area ensemble data assimilation using joint states von Yoon, Young-Noh, Hunt, Brian R., Ott, Edward, Szunyogh, Istvan

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A local ensemble Kalman filter for atmospheric data assimilation von OTT, Edward, HUNT, Brian R, SZUNYOGH, Istvan, ZIMIN, Aleksey V, KOSTELICH, Eric J, CORAZZA, Matteo, KALNAY, Eugenia, PATIL, D. J, YORKE, James A

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Wave energetics of the southern hemisphere of Mars von Battalio, Michael, Szunyogh, Istvan, Lemmon, Mark

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Energetics of the martian atmosphere using the Mars Analysis Correction Data Assimilation (MACDA) dataset von Battalio, Michael, Szunyogh, Istvan, Lemmon, Mark

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Propagation of the effect of targeted observations: The 2000 Winter Storm Reconnaissance program von SZUNYOGH, Istvan, TOTH, Zoltan, ZIMIN, Aleksey V, MAJUMDAR, Sharanya J, PERSSON, Anders

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