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Found 4 results

  1. Time for the summer forecast contest, as we hope to see summer arrive some time this year in what's been the coolest and wettest May in decades for California and pretty much all of the Southwest Predict the monthly anomalies for June, July, and August, at these locations: You've got until Monday, June 3 to make your guesses SEA (Seattle, WA) OLM (Olympia, WA) PDX (Portland, OR) CQT (Downtown LA) DEN (Denver, CO) DCA (Washington D.C.)
  2. Howdy, I'm an American living in Bangkok, Thailand. Recently I had a bad allergic reaction to something in my apartment. Long story, but it seems dust mites in my mattress were the biggest culprit (have since replaced mattress). Anyway, before I figured this out, one day I searched "Bangkok pollen count" to see if maybe there was some vegetation that might be causing the problem this time of year. What came up, however, was a warning of "extreme indoor dust and dander levels." https://www.accuweather.com/en/th/bangkok/318849/allergies-weather/318849 QuestionWhile that made sense, I was curious how accuweather.com could predict *indoor* conditions based on the weather outside. I emailed them, but they only replied, "The Indexes section of AccuWeather.com is third-party generated. We do not predict this information ourselves. The third party company takes our data and analyses the temperatures, pressure, humidity, etc. to determine the Dust/Dander forecasts." In other words, a non-answer. I then asked, "Then who's the third party?," but they never replied. So, does anyone know the answer to the above Question? BTW, it is currently the "rainy season" here in Thailand. This region has basically 4 seasons: 1) Rainy (approx. Jun–Oct), 2) "Cool" (Nov–Jan), and 3) Hot (Feb–May)Now in the rainy season, rain is sporadic (common to rain a bit in afternoon, some days no rain, occasional downpour). It's warm (80°–90°F) and humid. Thanks.
  3. Hello For a statistical experiment I am calculating lots of Gerrity Skill Scores for contingency tables derived from Temperature forecasts/observations. I tried the package for R, and when I use some relative probabilities as baseline that I have derived from climatological data, I sometimes get Scores greater than 1. I am pretty sure this should not happen. Here is a script that can be run in batch mode R which should reproduce the error: library('verification') A=matrix(c(2394,481,0,0,0,0,4718,1399,0,0,0,0,1740,1755,0,0,0,0,3202,594,0,0,0,0,1717),nrow=5) pb=c(0.0632,0.2692,0.1461,0.2338,0.2877) multi.cont(A,pb) I know that the contingency table does not represent the baseline probabilities, but I am still puzzled that this happens. I also coded the procedure in matlab myself, with the information from the original paper and it reproduces the error. Is there a condition about the baseline probabilities that I am not aware of? Any Help is welcome.
  4. Very details wind and weather summaries around the world. They claim to daily process 2.5 Billion weather measurements to provide the best weather forecasts. http://www.marine.travel/forecast/
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