Comments on: Seasonal Forecasts and the Colorado Winter http://cstpr.colorado.edu/prometheus/?p=4335 Wed, 29 Jul 2009 22:36:51 -0600 http://wordpress.org/?v=2.9.1 hourly 1 By: Roger Pielke, Jr. http://cstpr.colorado.edu/prometheus/?p=4335&cpage=1#comment-9500 Roger Pielke, Jr. Sat, 16 Feb 2008 14:53:44 +0000 http://sciencepolicy.colorado.edu/prometheusreborn/?p=4335#comment-9500 Sent in by email from Michael Smith, Weatherdata, Inc. "I believe Roger has made an important observation. The outlooks this winter have been consistently poor and biased toward too warm and too dry in the central U.S. Roger is also correct, in my opinion, in noting the resistance many climate scientists have toward verification (something we meteorologists welcome as an important tool). The climate models are not used for seasonal forecasting because of their consistent lack of skill. It is often contended this does not affect their validity for 50 year forecasts because "random" "weather" errors cancel out. But is this really true? How is it known the errors are random until a number of years worth of forecasts are created and verified? The clear dry bias of this winter's weekly and seasonal forecasts serve as a caution that we cannot assume "randomness." " Sent in by email from Michael Smith, Weatherdata, Inc.

“I believe Roger has made an important observation. The outlooks this
winter have been consistently poor and biased toward too warm and too dry
in the central U.S.

Roger is also correct, in my opinion, in noting the resistance many
climate scientists have toward verification (something we meteorologists
welcome as an important tool).

The climate models are not used for seasonal forecasting because of their
consistent lack of skill. It is often contended this does not affect
their validity for 50 year forecasts because “random” “weather” errors
cancel out. But is this really true? How is it known the errors are
random until a number of years worth of forecasts are created and
verified?

The clear dry bias of this winter’s weekly and seasonal forecasts serve as
a caution that we cannot assume “randomness.” “

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By: contactlenzen http://cstpr.colorado.edu/prometheus/?p=4335&cpage=1#comment-9499 contactlenzen Fri, 15 Feb 2008 03:25:27 +0000 http://sciencepolicy.colorado.edu/prometheusreborn/?p=4335#comment-9499 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. 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.

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By: jfleck http://cstpr.colorado.edu/prometheus/?p=4335&cpage=1#comment-9498 jfleck Thu, 14 Feb 2008 19:24:44 +0000 http://sciencepolicy.colorado.edu/prometheusreborn/?p=4335#comment-9498 I'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." I’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.”

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