Saturday, October 11, 2008
Hurricane Forecasting
Hurricanes form in tropics between the latitudes of 10 degrees and 30 degrees north during hurricane season, which lasts from June to October. Hurricanes need warm water at least 80 degrees Fahrenheit (27 degrees Celsius) for their formation and to sustain them. Hurricanes form over the ocean. Hurricanes form in the tropical oceans between the latitudes of about 8 degrees to 15 degrees north and south of the equator, and aren't simply natural disasters. They can cause great devastation to populated areas. They do not form within 5 degrees latitude of the equator because the coriolis effect isn't strong enough to generate the required circular rotation.
Hurricanes form there because the correct ingredients can be found to make the hurricane. One ingredient is that the water in the ocean needs to be at least 27 degrees celsius on the top 61 meters of water. Hurricanes form in tropical waters when evaporating water is sucked up into storms. As the vapor rises, it condenses, releasing energy that fuels the storm. Hurricanes form over water, and the water must be warm. During the hurricane season the water temperature along the east coast is at least eighty degrees Fahrenheit.
Do you think better weather forecasting requires a degree in meteorology? Maybe a degree in statistical analysis would be more helpful. Consider this following new way to forecast the weather with more accuracy and less knowledge.
Friday, February 2, 2007 - Canon City, Colorado. I brought in my Canon City Daily Record from the porch when it arrived, at about 3 in the afternoon. I opened the newspaper to the page with the weather forecast, wondering how cold it would be the following day.
The paper forecast a high temperature was 13 degrees Fahrenheit. I knew this was way too low. Forecasts on television and on the internet said that we would reach 23 or 27 degrees the following day. I knew they were also too low, and I told my wife it would be in the 30s at least. The actual high temperature the next day was 53 degrees Fahrenheit.
No, that's not a typo. The various weather forecasting "experts" were off by as much as 40 degrees - and that was for a simple 24-hour forecast. How could they be so far off? And how could I be better than them at forecasting the weather?
I can't answer the first question. The weather here is more unpredictable than in most places. Also, perhaps the meteorologists follow there computer models too slavishly, even when their experience and intuition tell them to adjust the forecast.
However, I can answer the second question. My guess was closer because the forecasters were so consistent in the way they made their errors. Around this time, I remember counting something like 15 out of 20 days when all the various weather forecasts predicted a high temperature that was 5 degrees or more too low. All I needed to do was take the highest temperature forecast and add five degrees.
A New Weather Forecasting Model
Consistency in their errors was the key to my success. They weren't forecasting too high one day and too low the next. They were wrong in the same ways over and over.
Are the errors as consistent in other parts of the country? That could be determined by looking at the statistics. Check the forecast highs and lows for the last 365 days, and check the actual temperatures for those days. See what the predicted probabilities of rain or snow were, and what actually happened.
Suppose that of the last 24 times a forecaster predicted a 50% chance of rain, it actually rained 18 times. He may have the best data, but he may be too conservative in how he uses it. Suppose this was not a fluke - which can be determined by doing more statistical analysis. You could know nothing about weather forecasting and provide a more accurate forecast simply by saying "A 75% chance of rain tomorrow" every time he said there was a 50% chance, right?
That's the basis for this new forecasting model. First gather the statistical information on the forecasts of several weather forecasting services or meteorologists. Compare this to the actual weather that happened, and look for any consistencies in the inaccuracies. Then you create a computer program. As you enter each of these forecasts into it, they are adjusted for known tendencies. The result is a more accurate forecast.
If Forecaster A has managed over the last year to forecast a high that averages 4 degrees over the actual high, the computer adjusts for that. More sophisticated analysis might show that Forecaster B is consistently predicting a higher probability of rain than there is in the fall, but a lower probability of rain than there actually is in the spring. The computer can take this into account. Finally, it may work best if the adjusted forecasts of three or more sources are then averaged.
There really is no need to know anything at all about weather forecasting. This is based on the idea that even when experts have all the best knowledge and data, they sometimes apply it incorrectly, and do so in consistent ways. Don't be surprised if some television stations get rid of their meteorologists and take advantage of this new weather forecasting idea.
"Now your electronic weather forecast, from our Statistical Analysis Weather Machine."
About the author:
Copyright Steve Gillman
Saturday, September 27, 2008
Tropical Storm Kyle NHC 5 AM Discussion
FORECAST POSITIONS AND MAX WINDS INITIAL 27/0900Z 30.5N 69.4W 60 KT 12HR VT 27/1800Z 33.0N 69.7W 65 KT 24HR VT 28/0600Z 36.8N 69.4W 70 KT 36HR VT 28/1800Z 41.0N 68.4W 70 KT 48HR VT 29/0600Z 44.9N 66.7W 60 KT...BECOMING EXTRATROPICAL 72HR VT 30/0600Z 50.5N 64.0W 40 KT...EXTRATROPICAL INLAND 96HR VT 01/0600Z...ABSORBED BY FRONTAL SYSTEM
Friday, September 26, 2008
Tropical Storm Kyle NHC Discussion 5 PM
FORECAST POSITIONS AND MAX WINDSINITIAL 26/2100Z 27.6N 68.7W 50 KT 12HR VT 27/0600Z 29.5N 69.3W 55 KT 24HR VT 27/1800Z 32.6N 69.5W 60 KT 36HR VT 28/0600Z 36.5N 69.0W 65 KT 48HR VT 28/1800Z 40.3N 67.8W 65 KT 72HR VT 29/1800Z 47.5N 64.5W 45 KT...EXTRATROPICAL 96HR VT 30/1800Z 52.0N 62.0W 35 KT...INLAND EXTRATROPICAL120HR VT 01/1800Z...ABSORBED BY FRONTAL SYSTEM
Tropical Storm Kyle NHC Discussion 11AM EST
FORECAST POSITIONS AND MAX WINDSINITIAL 26/1500Z 26.4N 68.8W 50 KT 12HR VT 27/0000Z 28.6N 69.4W 55 KT 24HR VT 27/1200Z 31.7N 69.9W 60 KT 36HR VT 28/0000Z 35.5N 69.8W 65 KT 48HR VT 28/1200Z 39.5N 68.7W 70 KT 72HR VT 29/1200Z 46.5N 66.0W 50 KT...INLAND EXTRATROPICAL 96HR VT 30/1200Z 52.0N 62.0W 40 KT...INLAND EXTRATROPICAL120HR VT 01/1200Z...ABSORBED BY FRONTAL SYSTEM$$FORECASTER BEVEN
