![]() ![]() ![]() This blog entry summarizes the performances of those models and discusses how, on the whole, NHC systematically outperforms them on predicting the track of a storm.īelow are the most recent three years of data (2017, 2018, and 2019) of Atlantic basin track forecast skill from NHC and the three best individual track models: the GFS, ECMWF, and the United Kingdom Meteorological Office model (UKMET) (Figure 2). ) We’ve also heard and seen people compare the GFS and ECMWF models and talk about which model scenario might be more correct for a given storm. (Here’s a comprehensive list showing all of the available weather models that are used at NHC today, if you’re interested. It’s true that those two models are used heavily at NHC and the National Weather Service in general, but there are many more weather models that can simulate a hurricane’s track and general weather across the globe. ![]() Global Forecast System (GFS) and the European Centre for Medium Range Weather Forecasts (ECMWF) model. An International Friendly?įrom our experience of talking to people about hurricanes and weather models, it seems to be almost common “knowledge” that only two models exist – the U.S. At NHC, we routinely compare our forecasts with weather models over these long periods of time to assess our skill at predicting, for example, the future tracks of hurricanes. But luck is much less of a factor when you consider a lot of forecasts over longer periods of time, where the good and bad circumstances should cancel each other out and true skill shines through (just as in sports). Where would hurricane forecasting lie on such a continuum? There’s no doubt that luck plays at least some part in weather forecasting too, particularly in individual forecasts when random or unforeseen circumstances could either play in your favor (and make you look like the best forecaster around) or turn against you (and make you look like you don’t know what you’re doing!). The Skill-Luck Continuum in Sports, developed by investment strategist Michael Mauboussin. Fortunately for hockey fans, there are enough games in a season for their favorite team’s “unlucky” games to not matter so much.įigure 1. On this spectrum, a sport like basketball would be closest to the skill side (there are a lot of scoring opportunities in a basketball game) whereas a sport like hockey would require a little more luck (there are fewer scoring opportunities in a hockey match, and sometimes you just need the puck to bounce your way). Based on factors such as the number of games in a season, number of players in action, and number of scoring opportunities in a game or match, athletes and their teams in some sports might have to rely on a little more luck than other sports to be successful. Investment strategist Michael Mauboussin created a “Skill-Luck Continuum” where individual sports, among other activities in life, are placed on a spectrum somewhere between pure skill and pure luck (Figure 1). And then it got us thinking, how does luck factor into the equation? In other words, when meteorologists get a weather forecast right, how much of it is luck, and how much of it is forecasters’ skill in correctly interpreting, or even beating, the weather models available to them? When we set out to write this blog post for Inside the Eye, we wanted to show how National Hurricane Center (NHC) forecasters use their skill and expertise to predict the future track of a hurricane. We also would have been eagerly anticipating some of this spring and summer’s major sporting events, including the Olympics. ![]() We should have been all set for the playoffs in major league hockey and basketball, and we would be excited about the beginning of the major league baseball and soccer seasons. There’s one thing that many of us are missing right now while we’re occupying ourselves at home: sports. Skill or Luck?: How NHC’s Hurricane Track Forecasts Beat the Models ![]()
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