NMME-based hybrid prediction of Atlantic hurricane season activity
- 240 Downloads
A hybrid dynamical–statistical model is pursued for prediction of Atlantic seasonal hurricane activity driven by output of the North American Multimodel Ensemble (NMME). This is an updated version of a proven multiple linear regression method conditioned on forecast vertical wind shear from the Climate Forecast System and observed sea surface temperatures (SSTs). The method pursued for prediction utilizes August–October (ASO) Main Development Region (MDR; 10–20°N, 20–80°W) vertical wind shear and observed North Atlantic (NATL; 55–65°N, 30–60°W) SST averaged over the 3 months preceding the forecast in conjunction with the full hurricane climatology. NMME forecasts improve upon representations relative to individual members. The NMME multi-model mean better reproduces vertical wind shear distributions over the MDR and captures the observed relationships between SST and vertical wind shear with hurricane trend and interannual variability despite occasionally poor reproductions by individual members. Cross-validation reveals the multi-model average of the hybrid model outputs from the individual NMME members yields forecast errors 10–30% less than the individual members, while correlations with observed hurricane-related activity typically improve. The NMME methodology is shown to be competitive with official outlooks from Colorado State University and the National Oceanic and Atmospheric Administration over recent years.
KeywordsTropical cyclone Hurricane Typhoon North American Multimodel Ensemble Interannual variability Seasonal prediction
This project was funded by NOAA’s High Impact Weather Prediction Project (HIWPP) under the NMME extension. Feedback from two anonymous reviewers as well as internal reviews from Drs. Emily Becker and Peitao Peng greatly improved the quality of this manuscript. Additional helpful discussions with Gerry Bell, Lindsey Long, and Michelle L’Heureux helped drive this project. We acknowledge the agencies that support the NMME-Phase II system, and we thank the climate modeling groups (listed in Table 1) for producing and making available their model output. NOAA National Centers for Environmental Prediction, NOAA Climate Test Bed and NOAA Climate Program Office jointly provide coordinating support and led development of the NMME-Phase II system. NMME hindcast data was retrieved from the NCAR Earth System Grid repository that is supported financially by DOE, NASA, NOAA, and NSF. Maintenance, support, and development of the Earth System Grid repository is provided by CPC, IRI, and NCAR personnel.
- Landsea CW, Pielke RA Jr, Maestas-Nunez AM, Knaff JA (1999) Atlantic basin hurricanes. Clim Change 42:89–129Google Scholar
- Landsea CW et al (2004) The Atlantic hurricane database re-analysis project: documentation for the 1851–1910 alterations and additions to the HURDAT database. In: Murnane RJ, Liu K-B (eds) Hurricanes and typhoons: past, present and future. Columbia University Press, New York, pp 177–221Google Scholar
- Pegion K (2015) Development of a subseasonal North American multi-model ensemble prediction system. AGU Fall Meeting, San FranciscoGoogle Scholar
- Schemm J-KE, Long L (2014) CPC dynamic hurricane season prediction system upgrade with the NCEP CFSv2. 39th Climate Diagnostics Prediction Workshop, St. Louis, MO, National Oceanic and Atmospheric Association. http://www.cpc.ncep.noaa.gov/products/outreach/proceedings/cdw39_proceedings/D ay_3/Session_7/Long.pdf
- Vernieres G, Rienecker MM, Kovach R, Keppenne CL (2012) The GEOS-iODAS: description and evaluation. Technical report series on global modeling and data assimilation 30, 73 p, NASA Goddard Space Flight Center, Greenbelt, MD, USA. NASA/TM-2012-104606/VOL30Google Scholar