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dc.contributor.authorEmanuel, Kerry Andrew
dc.date.accessioned2020-04-17T17:51:45Z
dc.date.available2020-04-17T17:51:45Z
dc.date.issued2019-04
dc.date.submitted2018-09
dc.identifier.issn0022-4928
dc.identifier.issn1520-0469
dc.identifier.urihttps://hdl.handle.net/1721.1/124726
dc.description.abstract© 2019 American Meteorological Society. Understanding the predictability limit of day-to-day weather phenomena such as midlatitude winter storms and summer monsoonal rainstorms is crucial to numerical weather prediction (NWP). This predictability limit is studied using unprecedented high-resolution global models with ensemble experiments of the European Centre for Medium-Range Weather Forecasts (ECMWF; 9-km operational model) and identical-twin experiments of the U.S. Next-Generation Global Prediction System (NGGPS; 3 km). Results suggest that the predictability limit for midlatitude weather may indeed exist and is intrinsic to the underlying dynamical system and instabilities even if the forecast model and the initial conditions are nearly perfect. Currently, a skillful forecast lead time of midlatitude instantaneous weather is around 10 days, which serves as the practical predictability limit. Reducing the current-day initial-condition uncertainty by an order of magnitude extends the deterministic forecast lead times of day-to-day weather by up to 5 days, with much less scope for improving prediction of small-scale phenomena like thunderstorms. Achieving this additional predictability limit can have enormous socioeconomic benefits but requires coordinated efforts by the entire community to design better numerical weather models, to improve observations, and to make better use of observations with advanced data assimilation and computing techniques.en_US
dc.description.sponsorshipNSF (grant no. AGS-1305798)en_US
dc.description.sponsorshipNSF (grant no. 1712290)en_US
dc.description.sponsorshipONR (grant no. N000140910526)en_US
dc.language.isoen
dc.publisherAmerican Meteorological Societyen_US
dc.relation.isversionof10.1175/JAS-D-18-0269.1en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceAmerican Meteorological Societyen_US
dc.titleWhat is the predictability limit of midlatitude weather?en_US
dc.typeArticleen_US
dc.identifier.citationZhang, Fuqing, et al., "What is the predictability limit of midlatitude weather?" Journal of the atmospheric sciences 76, 4 (April 2019): p. 1077-91 doi 10.1175/JAS-D-18-0269.1 ©2019 Author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciencesen_US
dc.contributor.departmentLorenz Center (Massachusetts Institute of Technology)en_US
dc.relation.journalJournal of the atmospheric sciencesen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2020-04-08T13:33:17Z
dspace.orderedauthorsFuqing Zhang ; Y. Qiang Sun ; Linus Magnusson ; Roberto Buizza ; Shian-Jiann Lin ; Jan-Huey Chen ; Kerry Andrew Emanuelen_US
dspace.date.submission2020-04-08T13:33:21Z
mit.journal.volume76en_US
mit.journal.issue4en_US
mit.licensePUBLISHER_POLICY
mit.metadata.statusComplete


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