An Analysis of NCEP Tropical Cyclone Vitals and Potential Effects on Forecasting Models

dc.contributor.authorTrahan, Sam
dc.contributor.authorSparling, Lynn
dc.date.accessioned2018-10-26T14:48:03Z
dc.date.available2018-10-26T14:48:03Z
dc.date.issued2012-06-15
dc.description.abstractThis study analyzes the Tropical Cyclone Vitals Database (TCVitals), which contains cyclone location, intensity, and structure information, generated in real time by forecasters. These data are used to initialize cyclones in several NCEP operational forecasting models via bogusing and vortex relocation methods. In many situations, time is of the essence and the TCVitals database represents the best real-time estimate of the cyclone state possible in real time, given the limitations of available data and time constraints inherent in real-time forecasting. NCEP and other users of TCVitals have a responsibility to work around the inevitable limitations of what forecasters can do for TCVitals in real time. With ensemble systems becoming available, a way to do that will soon be available. However, the TCVitals’ limitations must first be quantitatively understood so that model developers can take them into account. That is the motivation for the present study, which compares the TCVitals storm location and intensity to postseason reanalysis values found in the best-track database and statistically compares the TCVitals storm depth to 946 Tropical Rainfall Measuring Mission (TRMM) overpasses. All storms of tropical depression strength or stronger in all basins are analyzed, with a special focus on National Hurricane Center TCVitals for the North Atlantic and eastern Pacific basins, the main areas of responsibility for NCEP. In addition, the sensitivity to TCVitals on the Hurricane Weather Research and Forecasting (HWRF) model is examined by rerunning the 2011 HWRF for the 2010 North Atlantic season twice: once with TCVitals input and once with best-track input.en_US
dc.description.urihttps://journals.ametsoc.org/doi/abs/10.1175/WAF-D-11-00063.1en_US
dc.format.extent13 pagesen_US
dc.genrejournal articleen_US
dc.identifierdoi:10.13016/M2MS3K531
dc.identifier.citationSam Trahan, Lynn Sparling, An Analysis of NCEP Tropical Cyclone Vitals and Potential Effects on Forecasting Models, Weather and Forecasting,June 2012, https://doi.org/10.1175/WAF-D-11-00063.1en_US
dc.identifier.urihttps://doi.org/10.1175/WAF-D-11-00063.1
dc.identifier.urihttp://hdl.handle.net/11603/11748
dc.language.isoen_USen_US
dc.publisherAmerican Meteorological Societyen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Physics Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rights© Copyright 2012-06-15 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be “fair use” under Section 107 of the U.S. Copyright Act or that satisfies the conditions specified in Section 108 of the U.S. Copyright Act (17 USC §108) does not require the AMS’s permission. Republication, systematic reproduction, posting in electronic form, such as on a website or in a searchable database, or other uses of this material, except as exempted by the above statement, requires written permission or a license from the AMS. All AMS journals and monograph publications are registered with the Copyright Clearance Center (http://www.copyright.com). Questions about permission to use materials for which AMS holds the copyright can also be directed to permissions@ametsoc.org. Additional details are provided in the AMS Copyright Policy statement, available on the AMS website (http://www.ametsoc.org/CopyrightInformation).
dc.subjectTropical cyclonesen_US
dc.subjectData quality controlen_US
dc.subjectRadars/Radar observationsen_US
dc.subjectRemote sensingen_US
dc.subjectModel initializationen_US
dc.subjectNumerical weather prediction/forecastingen_US
dc.subjectUMBC High Performance Computing Facility (HPCF)en_US
dc.titleAn Analysis of NCEP Tropical Cyclone Vitals and Potential Effects on Forecasting Modelsen_US
dc.typeTexten_US

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