Α Hybrid Approach to Atmospheric Modeling that Combines Machine Learning with a Physics-Based Numerical Model Article Swipe
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· 2021
· Open Access
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· DOI: https://doi.org/10.1002/essoar.10507548.3
· OA: W4226159983
Earth and Space Science Open Archive This work has been accepted for publication in Journal of Advances in Modeling Earth Systems (JAMES). Version of RecordESSOAr is a venue for early communication or feedback before peer review. Data may be preliminary. Learn more about preprints. preprintOpen AccessYou are viewing the latest version by default [v3]Α Hybrid Approach to Atmospheric Modeling that Combines Machine Learning with a Physics-Based Numerical ModelAuthorsTroyArcomanoiDIstvanSzunyoghiDAlexanderWikneriDJaideepPathakiDBrian RHuntEdwardOttiDSee all authors Troy ArcomanoiDCorresponding Author• Submitting AuthorTexas A&M UniversityiDhttps://orcid.org/0000-0002-9359-6020view email addressThe email was not providedcopy email addressIstvan SzunyoghiDTexas A&M UniversityiDhttps://orcid.org/0000-0002-3749-3027view email addressThe email was not providedcopy email addressAlexander WikneriDUniversity of MarylandiDhttps://orcid.org/0000-0001-7575-3953view email addressThe email was not providedcopy email addressJaideep PathakiDLawrence Berkeley National LaboratoryiDhttps://orcid.org/0000-0002-3095-0256view email addressThe email was not providedcopy email addressBrian R HuntUniversity of Marylandview email addressThe email was not providedcopy email addressEdward OttiDUniversity of MarylandiDhttps://orcid.org/0000-0002-9395-5062view email addressThe email was not providedcopy email address
