| 翻訳と辞書 |
Wet bias
The term wet bias refers to the phenomenon whereby some weather forecasters (usually deliberately) report a higher probability of precipitation (in particular, of rain) than the probability they believe (and the probability borne out by empirical evidence), in order to increase the usefulness and actionability of their forecast.〔(【引用サイトリンク】Why everyone hates the weatherman )〕 The Weather Channel has been empirically shown, and has also admitted, to having a wet bias in the case of low probability of precipitation (for instance, a 5% probability may be reported as a 20% probability) but not at high probabilities of precipitation (so a 60% probability will be reported as a 60% probability). Some local TV stations have been shown as having significantly greater wet bias, often reporting a 100% probability of precipitation in cases where it rains only 70% of the time.〔〔
==Discovery==
In 2002, Eric Floehr, a computer science graduate of the Ohio State University, started collecting historical data of weather forecasts made by the National Weather Service, The Weather Channel, and AccuWeather for the United States, and collected the data on a website called ForecastWatch.com.〔, Page 131-136〕〔(【引用サイトリンク】ForecastWatch: Accuracy Defined )〕 Floehr found that the commercial forecasts were biased: they consistently predicted a higher probability of precipitation than actually occurred. The National Weather Service forecasts were unbiased, whereas those at The Weather Channel were biased for low probabilities of precipitation: when the Weather Channel predicted a 20% probability of precipitation, it had historically rained only 5% of the time, but a 70% probability of precipitation could be taken at face value.〔〔 Blogger Dan Allan noted that The Weather Channel is also biased at the upper end: a probability of 90% or higher will be rounded up to 100%.〔 On the other hand, local TV stations tended to exaggerate the probability of precipitation throughout (except when they forecast a probability of 0%, in which case it still rained about 10% of the time).〔 The findings on wet bias, though informally well-known within the weather forecasting community for some time, were first popularized outside the weather forecasting community in Nate Silver's 2012 book ''The Signal and the Noise''.〔
The term ''wet bias'' is used because this is a systematic bias in the direction of the weather being wetter than it actually is.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
■ウィキペディアで「Wet bias」の詳細全文を読む
スポンサード リンク
| 翻訳と辞書 : 翻訳のためのインターネットリソース |
Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.
|
|