Track Uncertainty in High-Resolution HWRF Ensemble Forecasts of Hurricane Joaquin

Author:

Alaka Ghassan J.1,Zhang Xuejin1,Gopalakrishnan Sundararaman G.2,Zhang Zhan3,Marks Frank D.2,Atlas Robert4

Affiliation:

1. Cooperative Institute for Marine and Atmospheric Studies, University of Miami, and NOAA/AOML/Hurricane Research Division, Miami, Florida

2. NOAA/AOML/Hurricane Research Division, Miami, Florida

3. NOAA/NCEP/Environmental Modeling Center, College Park, Maryland

4. NOAA/Atlantic Oceanographic and Meteorological Laboratory, Miami, Florida

Abstract

Abstract Hurricane Joaquin (2015) was characterized by high track forecast uncertainty when it approached the Bahamas from 29 September 2015 to 1 October 2015, with 5-day track predictions ranging from landfall in the United States to east of Bermuda. The source of large track spread in Joaquin forecasts is investigated using an ensemble prediction system (EPS) based on the Hurricane Weather Research and Forecasting (HWRF) Model. For the first time, a high-resolution analysis of an HWRF-based EPS is performed to isolate the factors that control tropical cyclone (TC) track uncertainty. Differences in the synoptic-scale environment, the TC vortex structure, and the TC location are evaluated to understand the source of track forecast uncertainty associated with Joaquin, especially at later lead times when U.S. landfall was possible. EPS members that correctly propagated Joaquin into the central North Atlantic are compared with members that incorrectly predicted U.S. landfall. Joaquin track forecasts were highly dependent on the evolution of the environment, including weak atmospheric steering flow near the Bahamas and three synoptic-scale systems: a trough over North America, a ridge to the northeast of Joaquin, and an upper-tropospheric trough to the east of Joaquin. Differences in the steering flow were associated with perturbations of the synoptic-scale environment at the model initialization time. Ultimately, members that produced a more progressive midlatitude synoptic-scale pattern had reduced track errors. Joaquin track forecast uncertainty was not sensitive to the TC vortex structure or the initial TC position.

Funder

Hurricane Forecast Improvement Project

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference69 articles.

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4. Berg, R. J. , 2016: Hurricane Joaquin (AL112015). National Hurricane Center Tropical Cyclone Rep., 36 pp., https://www.nhc.noaa.gov/data/tcr/AL112015_Joaquin.pdf.

5. Biswas, M. K., and Coauthors, 2016: Hurricane Weather Research and Forecasting (HWRF) Model: 2016 scientific documentation. Developmental Testbed Center Doc., 95 pp., https://dtcenter.org/HurrWRF/users/docs/scientific_documents/HWRFv3.8a_ScientificDoc.pdf.

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