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    title = "The Flux‐Differencing Discontinuous Galerkin Method Applied to an Idealized Fully Compressible Nonhydrostatic Dry Atmosphere",
    journal = "Journal of Advances in Modeling Earth Systems",
    year = "2023",
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    doi = "10.1029/2022ms003527",
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@article{https://resolver.caltech.edu/CaltechAUTHORS:20230627-116746000.8,
    title = "The Flux-Differencing Discontinuous Galerkin Method Applied to an Idealized Fully Compressible Nonhydrostatic Dry Atmosphere",
    journal = "Journal of Advances in Modeling Earth Systems",
    year = "2023",
    url = "https://resolver.caltech.edu/CaltechAUTHORS:20230627-116746000.8",
    id = "record",
    issn = "1942-2466",
    doi = "10.1029/2022ms003527",
    volume = "15"
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@article{https://resolver.caltech.edu/CaltechAUTHORS:20220815-504980000,
    title = {An Efficient Bayesian Approach to Learning Droplet Collision Kernels: Proof of Concept Using "Cloudy," a New n-Moment Bulk Microphysics Scheme},
    journal = "Journal of Advances in Modeling Earth Systems",
    year = "2022",
    url = "https://resolver.caltech.edu/CaltechAUTHORS:20220815-504980000",
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    issn = "1942-2466",
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    title = "Spanning the Gap from Bulk to Bin: A Novel Spectral Microphysics Method",
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@other{https://resolver.caltech.edu/CaltechAUTHORS:20220207-89642000,
    title = {An efficient Bayesian approach to learning droplet collision kernels: Proof of concept using "Cloudy", a new n-moment bulk microphysics scheme},
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@article{https://resolver.caltech.edu/CaltechAUTHORS:20211015-222200700,
    title = "Data-Driven Inference of the Mechanics of Slip Along Glacier Beds Using Physics-Informed Neural Networks: Case Study on Rutford Ice Stream, Antarctica",
    journal = "Journal of Advances in Modeling Earth Systems",
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    doi = "10.1029/2021MS002621",
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@article{https://resolver.caltech.edu/CaltechAUTHORS:20170927-110506100,
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    journal = "Journal of Climate",
    year = "2017",
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@article{https://resolver.caltech.edu/CaltechAUTHORS:20160930-151837626,
    title = "Seasonal and Interannual Variations of the Energy Flux Equator and ITCZ. Part II: Zonally Varying Shifts of the ITCZ",
    journal = "Journal of Climate",
    year = "2016",
    url = "https://resolver.caltech.edu/CaltechAUTHORS:20160930-151837626",
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@article{https://resolver.caltech.edu/CaltechAUTHORS:20161020-102632202,
    title = "A Multibasin Residual-Mean Model for the Global Overturning Circulation",
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@article{https://resolver.caltech.edu/CaltechAUTHORS:20160930-152157215,
    title = "Relation of the double-ITCZ bias to the atmospheric energy budget in climate models",
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@inbook{https://resolver.caltech.edu/CaltechAUTHORS:20170530-090152140,
    title = "Uncertainty in Artificial Intelligence. Proceedings of the Thirty-Second Conference (2016)",
    chapter = "Unsupervised Discovery of El Niño Using Causal Feature Learning on Microlevel Climate Data",
    year = "2016",
    url = "https://resolver.caltech.edu/CaltechAUTHORS:20170530-090152140",
    id = "record",
    isbn = "978-0-9966431-1-5",
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@article{https://resolver.caltech.edu/CaltechAUTHORS:20160601-095902123,
    title = "Seasonal and Interannual Variations of the Energy Flux Equator and ITCZ. Part I: Zonally Averaged ITCZ Position",
    journal = "Journal of Climate",
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    issn = "0894-8755",
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@article{https://resolver.caltech.edu/CaltechAUTHORS:20160520-084733761,
    title = "The Equatorial Energy Balance, ITCZ Position, and Double-ITCZ Bifurcations",
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    year = "2016",
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@article{https://resolver.caltech.edu/CaltechAUTHORS:20160121-112508251,
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@article{https://resolver.caltech.edu/CaltechAUTHORS:20150924-160530478,
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@article{https://resolver.caltech.edu/CaltechAUTHORS:20150409-152635552,
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@article{https://resolver.caltech.edu/CaltechAUTHORS:20150106-125700649,
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@article{https://resolver.caltech.edu/CaltechAUTHORS:20140908-094122453,
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@article{https://resolver.caltech.edu/CaltechAUTHORS:20140728-091222072,
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}