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    A Localized Adaptive Particle Filter within an Operational NWP Framework 

    Source: Monthly Weather Review:;2018:;volume 147:;issue 001:;page 345
    Author(s): Potthast, Roland; Walter, Anne; Rhodin, Andreas
    Publisher: American Meteorological Society
    Abstract: Particle filters are well known in statistics. They have a long tradition in the framework of ensemble data assimilation (EDA) as well as Markov chain Monte Carlo (MCMC) methods. A key challenge today is to employ such ...
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    Nonlinear Bias Correction for Satellite Data Assimilation Using Taylor Series Polynomials 

    Source: Monthly Weather Review:;2017:;volume 146:;issue 001:;page 263
    Author(s): Otkin, Jason A.; Potthast, Roland; Lawless, Amos S.
    Publisher: American Meteorological Society
    Abstract: AbstractOutput from a high-resolution ensemble data assimilation system is used to assess the ability of an innovative nonlinear bias correction (BC) method that uses a Taylor series polynomial expansion of the ...
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    Convective-Scale Assimilation of Cloud Cover from Photographs Using a Machine Learning Forward Operator 

    Source: Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 002
    Author(s): Reinhardt, Maria; Schoger, Sybille Y.; Kurzrock, Frederik; Potthast, Roland
    Publisher: American Meteorological Society
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    Convective-Scale Assimilation of Cloud Cover from Photographs Using a Machine Learning Forward Operator 

    Source: Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 002
    Author(s): Reinhardt, Maria; Schoger, Sybille Y.; Kurzrock, Frederik; Potthast, Roland
    Publisher: American Meteorological Society
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    Classification and Fault Detection Methods for Fuel Cell Monitoring and Quality Control 

    Source: Journal of Fuel Cell Science and Technology:;2013:;volume( 010 ):;issue: 002:;page 21002
    Author(s): Lowery, Natalie L. H.; Vahdati, Maria M.; Potthast, Roland W. E.; Holderbaum, William
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, various types of fault detection methods for fuel cells are compared. For example, those that use a model based approach or a data driven approach or a combination of the two. The potential advantages and ...
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    Assessment of Progress and Status of Data Assimilation in Numerical Weather Prediction 

    Source: Bulletin of the American Meteorological Society:;2017:;volume 099:;issue 005:;page ES75
    Author(s): Kwon, In-Hyuk; English, Stephen; Bell, William; Potthast, Roland; Collard, Andrew; Ruston, Benjamin
    Publisher: American Meteorological Society
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    Near-Realtime Quantitative Precipitation Estimation and Prediction (RealPEP) 

    Source: Bulletin of the American Meteorological Society:;2021:;volume( 102 ):;issue: 008
    Author(s): Trömel, Silke;Chwala, Christian;Furusho-Percot, Carina;Henken, Cintia Carbajal;Polz, Julius;Potthast, Roland;Reinoso-Rondinel, Ricardo;Simmer, Clemens
    Publisher: American Meteorological Society
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