有一个标准化的方式来定义天气图标根据可量化的数据?- 江南体育网页版- - - - -地球科学堆江南电子竞技平台栈交换

有一个标准化的方式来定义天气图标根据可量化的数据?

2017 - 01 - 10 - t13:09:39z

天气api经常提供天气图标象征着天空的状态在一个给定的点,或平均。

Is there a standardized way to define what the icon should be, based on quantifiable data such as cloud coverage or rain level (the idea being that, say, with over 50% cloud coverage a "cloud" is used, then with > 1 mm rain, "drops" are added etc.) -- or is it left purely as an interpretation to the user?

答案由f。索普有标准化的方式来定义天气图标根据可量化的数据?

2017 - 01 - 10 - t20:52:55z

所使用的图标只是视觉的方式描述用于预测的措辞。你可以看到一个例子提供一组图标地下气象< a href = " https://github.com/manifestinteractive/weather-underground-icons/blob/master/dist/icons/black/icon-preview.png " rel = " nofollow noreferrer " > < / >。他们有< a href = " https://github.com/manifestinteractive/weather-underground-icons " rel = " nofollow noreferrer " >许多不同的图标集< / >,你可以选择。短语本身与特定范围的降水概率、云层覆盖或其他因素。< a href = " http://weather.gfc.state.ga.us/Info/WXexp。aspx nofollow noreferrer“rel = >这个网站< / >展示了一些漂亮的表,给一些范围(示例所示): < a href = " https://i.stack.imgur.com/aDyzv.png " rel = " nofollow noreferrer " > < img src = " https://i.stack.imgur.com/aDyzv.png " alt = "在这里输入图像描述" / > < / >

答案由JeopardyTempest有标准化的方式来定义天气图标根据可量化的数据?

2017 - 01 - 10 - t22:21:52z

一些历史标准形成由于仪器。云量观测设置基于okta,第八分数的天空覆盖开销在过去小时(也许8观测都被早期的仪器/记录/观察者)。这导致美国国家气象局< a href = " http://www.weather.gov/bgm/forecast_terms " rel = " nofollow noreferrer " >使用< / >这个表报告和预测: < a href = " https://i.stack.imgur.com/2DzqR.png " rel = " nofollow noreferrer " > < img src = " https://i.stack.imgur.com/2DzqR.png " alt = " NWS " / > < / > 同样,的< a href = " https://en.wikipedia.org/wiki/Rain_gauge # Tipping_bucket_rain_gauge”rel = " nofollow noreferrer " >翻斗式雨量计< / >以0.01英寸(0.25毫米)的增量,这影响降水的类别是如何选择的。< a href = " http://web.archive.org/web/20060110140456/http / /www.met.tamu.edu/class/METAR/metar-pg9-ww.html #细雨”rel = " nofollow noreferrer " >杂志上的这篇文章< / >规定: < blockquote > 天气观测,小雨被划分为(a)很轻,不完全由分散滴湿暴露面,不管时间;(b)“光”,下降的速度从跟踪到每小时0.25毫米:(c)“温和”,下降的速度是每小时0.25 -0.50毫米:(d)“重”下降的速度是每小时超过0.5毫米。当降水等于或超过每小时1毫米,全部或部分的降水通常是雨;然而,真正的细雨一样严重下降1.25毫米每小时已被观察到。按照惯例,细雨滴直径0.5毫米或更少” < /引用> 显示有大量的连接在雨的定义/细雨强度0.25毫米基线。 然而,尽管许多组织可能从这个框架,没有理由其他组织必须建立他们的措辞和图标这些历史标准。他们可能希望有更多或更少的类别在他们的预测。例如,Wunderground的API表显示[< a href = " https://www.wunderground.com/weather/api/d/docs?d=resources/phrase-glossary&先生= 1”rel = " nofollow noreferrer " >当前链接< / >现在访问受保护的,原始信息< a href = " https://web.archive.org/web/20180328124309/https / /www.wunderground.com/weather/api/d/docs?d=resources/phrase-glossary&奥= 1”rel = " nofollow noreferrer " >在< / >): < a href = " https://i.stack.imgur.com/iAm1S.png " rel = " nofollow noreferrer " > < img src = " https://i.stack.imgur.com/iAm1S.png " alt = "在这里输入图像描述" / > < / > 他们使用四云覆盖图标类别,而他们预测措辞选项包括清晰,阴天,多云,晴时多云,局部多云,部分阳光,散云。 So they don't appear to match the standard NWS table.

So long story short: There are some historical standards, but sites can take liberties in reporting it how they wish. Looking through some of the APIs, it would definitely be nice if they would better indicate the actual criteria they use!