我感兴趣的是将美国周边的气候数据可视化,以确定我有兴趣居住的地区。目前为止,我调出了NOAA的数据,我已经:
首先,这些似乎是“足够好的”近似,但我发现这种方法有点不充分,因为它是:
我最初寻求发现具有高平均温度的地区,每年和每天的温度方差低,降雨量低。我可以用什么标准来改进这次调查?谢谢!< / p >
Köppen气候分类是一个经典的气候分类度量:
< em>来源:Wikimedia Commons
它根据温度低于和/或高于某些阈值的月数,以及降雨在特定季节是否均匀分布或集中,对气候进行分类。你可以在维基百科上找到定义的详细信息。< / p >
An alternative is the Trewartha classification:
Source: Wikimedia Commons.
Note that the climate you seek may not exist:
I was initially seeking to discover areas with a high mean temperature, low variance in temperatures annually and daily, and low rainfall.
A low temperature variance tends to happen in humid climates. Dry climates tend to have large temperature variances. A subtropical highland climate may come closest to what you seek, although it's not particularly dry. In the Köppen classification, this would be Cwb. From the Wikipedia article:
Cwb = Subtropical highland climate or Monsoon-influenced temperate oceanic climate; coldest month averaging above 0 °C (32 °F) (or −3 °C (27 °F)), all months with average temperatures below 22 °C (71.6 °F), and at least four months averaging above 10 °C (50 °F). At least ten times as much rain in the wettest month of summer as in the driest month of winter (an alternative definition is 70% or more of average annual precipitation received in the warmest six months).
I don't think any place with Cwb climate exists in the United States. Quito is famous for being the city of eternal spring, and some areas of Mexico are classified as Cwb, as in Johannesburg. I suspect the closest you'll get in the USA will be somewhere not too high, not too low in the Sierra Nevada.
An Assessment of Six Dissimilarity Metrics for Climate Analogs by PATRICK GRENIER Ouranos Consortium, Montreal, Quebec, Canada