如何预测当飞机可能会形成特定的位置使用公共数据?- 江南体育网页版- - - - -地球科学堆江南电子竞技平台栈交换 最近30从www.hoelymoley.com 2023 - 04 - 11 - t00:26:49z //www.hoelymoley.com/feeds/question/15566 https://creativecommons.org/licenses/by-sa/4.0/rdf //www.hoelymoley.com/q/15566 5 如何预测当飞机可能会形成特定的位置使用公共数据? uhoh //www.hoelymoley.com/users/6031 2018 - 11 - 14 - t04:17:40z 2018 - 12 - 07 - t03:14:53z < p >我看到下图用作click-attractor旅游业无关的故事,但发现大图< a href = " http://thedailyripple.org/index.php/rss-world/340064-not-disneyland-dutch-hit-back-at-over-tourism " rel = " noreferrer " > < / >。< / p > < p >尾迹,或水凝结轨迹发生飞机穿过大气层时在一定的大气条件下,可能相关的主要是湿度、压力和温度。< / p > < p >如果我想写一个轨迹预测脚本,该脚本将调查公共来源的大气数据,检查位置(高度),看看他们< em >目前倾向于形成航迹云现在大大超过平均每天< / em >,公共数据来源可能我看什么,和什么参数是最重要的?< / p > < p >实际形成还需要空中交通当然,但这是askable SE不同网站。< / p > < p > < a href = " https://i.stack.imgur.com/FQQVE.jpg " rel = " noreferrer " > < img src = " https://i.stack.imgur.com/FQQVE.jpg " alt = "在这里输入图像描述" > < / > < / p > < p > < a href = " http://thedailyripple.org/index.php/rss-world/340064-not-disneyland-dutch-hit-back-at-over-tourism " rel = " noreferrer " > < / > < / p >来源 //www.hoelymoley.com/questions/15566/-/15586 # 15586 5 由dplmmr回答如何预测当飞机可能形成在一个特定的位置使用公共数据吗? dplmmr //www.hoelymoley.com/users/14078 2018 - 11 - 17 - t02:02:08z 2018 - 11 - 17 - t02:02:08z < p >所述< a href = " http://cimss.ssec.wisc.edu/wxwise/contrail.html " rel = " noreferrer " > < / >,凝结的云粒子(即。航迹云的形成)之间的混合会发生如果炎热和潮湿的飞机引擎废气和周围环境空气导致混合空气超过冰饱和蒸气压的温度变化。这种基因混合过程的概念图所示,排气(包裹)和环境空气(包裹B)与通用的温度和饱和蒸气压力所示:< A href = " https://i.stack.imgur.com/YdYry.gif " rel = " noreferrer " > < img src = " https://i.stack.imgur.com/YdYry.gif " alt = "图的冰饱和蒸汽压对温度两个空气包裹”> < / > < / p > < p >然而,这将要求知识这些特定的温度和相应的饱和蒸汽压力。更实际,轨迹预测通常只是假设空气通常在海拔飞机巡航(< a href = " https://web.archive.org/web/20160408184845/http: / / science-edu.larc.nasa.gov contrail-edu / faq.php”rel = " noreferrer " >一般,尽管并不总是,8公里/ 26000英尺以上,气温低于-40°C < / >)接近或高于过度饱和对冰。这种假设是操作使用,例如,在< a href = " https://cloudsway2.larc.nasa.gov/cgi-bin/site/showdoc?助记符= CONTRAIL_FORECAST noreferrer“rel = > NASA持续普及轨迹预测< / >。注意,第一个来源表明,低风速也可以帮助识别可能的地区持续的尾迹。< / p > < p >几个来源的数据可能是有用的在构建类似的分析或预测和比较可能平均每天,根据当地的气候。从无线电探空仪观测数据(即。气象气球,仪器测量温度、湿度、风速)< a href = " http://weather.uwyo.edu/upperair/sounding.html " rel = " noreferrer " >可以在全球范围内实时< / >。这提供了实际天气条件下的测量轨迹形成的高度相关,并且是特别有用如果需要测量相对接近的无线电探空仪发射地点。

For broader coverage in both space and time, the US National Oceanic and Atmospheric Administration provides archives of past weather analyses and operational forecast model output that can be requested by the general public. These datasets contain gridded model output with common parameters at various levels through the atmosphere on a national to global scale. While these datasets do not strictly consist of observed measurements, they are useful for analyses extending beyond the relatively limited set of observations available in most circumstances. Output from various operational forecast models is available for near-current or future conditions, whereas the reanalysis datasets provide similar information obtained from model analyses of past weather.

For a given location, the reanalysis datasets can be used to identify climatological temperature, moisture, or wind characteristics for a given location and date or season. Information from radiosondes or model forecasts can then be used to identify how conditions at a near-current (or future) time compare to these "average" conditions.

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