Weinig orkanen verwacht dit seizoen.
TSR predicts a below-average Atlantic hurricane season: 11 named storms
The May 27 forecast for the 2015 Atlantic hurricane season made by British private forecasting firm Tropical Storm Risk, Inc. (TSR) will be out later today, and I will update this post with their latest numbers. Their April 9 forecast called for 11 named storms, 5 hurricanes, 2 intense hurricanes, and an Accumulated Cyclone Energy (ACE) of 56.
CSU predicts a below-average Atlantic hurricane season: 9 named storms
Another quiet Atlantic hurricane season is likely in 2015, said the hurricane forecasting team of Dr. Phil Klotzbach and Dr. Bill Gray of Colorado State University (CSU) in their latest seasonal forecast issued April 9. They called for an Atlantic hurricane season with 7 named storms, 3 hurricanes, 1 intense hurricane, and an Accumulated Cyclone Energy (ACE) of 40. The next CSU forecast is due on Monday, June 1, and will receive a lot of media attention. My April 9 blog post has more on their forecast.
UKMET office predicts a below-average Atlantic hurricane season: 9 named storms
The UKMET office forecast for the 2015 Atlantic hurricane season, issued May 21, calls for below-normal activity, with 8 named storms, 5 hurricanes, and an ACE index of 74 occurring during the period June - November. If we add in Tropical Storm Ana, these numbers come out to 9 named storms and 5 hurricanes. In contrast to the statistical models relied upon by CSU, TSR, and NOAA, the UKMET forecast is done strictly using a dynamical global seasonal model, the Met Office GloSea5 system.
WSI predicts a below-average Atlantic hurricane season: 9 named storms
The May 27 forecast from the private weather firm WSI (part of The Weather Company, along with The Weather Channel, Weather Central, and The Weather Underground), is calling for a quiet Atlantic hurricane season with 9 named storms, 5 hurricanes, and 1 intense hurricane. WSI cites the expectation of El Niño conditions this fall as a key factor influencing their forecast.
Penn State predicts a below-average Atlantic hurricane season: 8 named storms
The May 11 forecast made using a statistical model by Penn State's Michael Mann and alumnus Michael Kozar is calling for a quiet Atlantic hurricane season with 8 named storms, plus or minus 2.7 storms. Their prediction was made using statistics of how past hurricane seasons have behaved in response to sea surface temperatures (SSTs), the El Niño/La Niña oscillation, the North Atlantic Oscillation (NAO), and other factors. The statistical model assumes that in 2015 the mid-May -0.18°C departure of temperature from average in the MDR will persist throughout hurricane season, the El Niño phase will be moderate, and the North Atlantic Oscillation (NAO) will be near average.
The PSU team has been making Atlantic hurricane season forecasts since 2007, and these predictions have done pretty well, except for in 2012, when an expected El Niño did not materialize:
2007 prediction: 15 named storms, Actual: 15
2009 prediction: 12 named storms, Actual: 9
2010 prediction: 23 named storms, Actual: 19
2011 prediction: 16 named storms, Actual: 19
2012 prediction: 11 named storms, Actual: 19
2013 prediction: 16 named storms, Actual: 14
2014 prediction: 9 named storms, Actual: 8
NCSU predicts a below-average Atlantic hurricane season: 5 named storms
The April 19 forecast from North Carolina State University (NCSU), is calling for a below-average Atlantic hurricane season with 5 named storms, 2 hurricanes, and 1 intense hurricane.
Coastal Carolina University predicts a below-average Atlantic hurricane season: 8 named storms
The April 17 forecast from Coastal Carolina University is calling for a below-average Atlantic hurricane season with 8 named storms, 4 hurricanes, and 2 intense hurricanes.
Cuban Met service predicts a below-average Atlantic hurricane season: 8 named storms
The May 4 forecast from the Cuban Meteorological Service, INSMET, is calling for a below-average Atlantic hurricane season with 9 named storms and 3 hurricanes. The forecast is based on a statistical prediction model developed by Ballester, González and Pérez (2010).