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February 14, 2008Seasonal Forecasts and the Colorado WinterPosted to Author: Pielke Jr., R. | Prediction and Forecasting | Water Policy
The figure above shows the snowpack in the state of Colorado for the past few years. The current level is higher than its been for a while. This is great news for just about everyone in Colorado -- except seasonal climate forecasters, who had predicted a dry, warm winter, and were sticking to that forecast as recently as a month ago. In today's Denver Post our excellent local science reporter Katy Human takes a look at the forecasts and why forecasters have given in to the reality of massive snowfall totals here in Colorado: Dry-winter forecasts were flat wrong this year for much of Colorado and the Southwest, and weather experts say they're struggling to understand why the snow just keeps falling. I have a lot of respect for Klaus, who is brave enough to put out forecasts in the public on time scales that will allow verification, and hence newspaper articles on his performance. Forecasting is not for the thin-skinned. But forecasts have other effects as well: La Niña winters have almost always brought droughtlike conditions to the Southwest, as the jet stream ferries storms farther north. So why did the forecasts bust this year? No one really knows. Wolter said he's troubled that his and other long-range forecasts have been off two years in a row now. So I suppose we should add busted seasonal forecasts to our growing lists of things consistent with predictions of climate change. Making long term, unverifiable forecasts is sure a lot safer territory than predicting seasonal snowpack! For further reading: Pielke, Jr., R. A., 2000: Policy Responses to the 1997/1998 El Niño: Implications for Forecast Value and the Future of Climate Services. Chapter 7 in S. Changnon (ed.), The 1997/1998 El Niño in the United States. Oxford University Press: New York. 172-196. (PDF) Posted on February 14, 2008 07:19 AMCommentsI'm not sure this is so much about busted forecasts as it is about a busted forecast communication process. I know - because I talk to these people and write these stories - that the forecasters are quite clear and careful in attaching statistical probabilities to what they are saying. These statistical probabilities are well quantified, and are clearly communicated within the technical community as often small shifts in probabilities. Guys like Hubble at the Salt River Project know exactly what they're buying - a hedged bet with probabilities attached, not a "prediction." Posted by: jfleck I think this indeed is more about the subject busted forecast communication process. I talk also every day with a lot of people because my hobby is about the forecast communication. It's very important to have a good forcast else you will get a lot of problems when you don't do it good. You must attach a quantified statistical probability. Posted by: contactlenzen Sent in by email from Michael Smith, Weatherdata, Inc. "I believe Roger has made an important observation. The outlooks this Roger is also correct, in my opinion, in noting the resistance many The climate models are not used for seasonal forecasting because of their The clear dry bias of this winter's weekly and seasonal forecasts serve as Posted by: Roger Pielke, Jr. Post a commentThanks for signing in, . Now you can comment. (sign out) (If you haven't left a comment here before, you may need to be approved by the site owner before your comment will appear. Until then, it won't appear on the entry. Thanks for waiting.) |
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