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isaacbinding

Help/Suggest: Climate Metric/Score

7 posts in this topic

Imagine you have a big list of cities and wanted to concisely get an idea of what the weather is like over there.
If conciseness and speed wasn't a problem, you could look at a graph like this (below) for each city, but that's not fast.
[IMG]
So what metrics would you need to accurately capture the climate of that area? Less is better, so all I can think of is: average lowest temp, average highest temp.

Or maybe you could build a score/index using some formula that took into account Average Annual Cloudy Days along with Average Low/High Temps, maybe humidity too.


Any other ideas?

 

*Buzz* Times up. https://en.wikipedia.org/wiki/Köppen_climate_classification

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This is too subjective of a question to answer.

If you want a "general idea" of the ideal climate, conduct a survey of the "general" people. Asking such questions on a weather-centric board, which is biased towards cold and snow due to the nature of the board and its 10+ years of existence, is not the best approach to making a coherent solution to the topic at hand.

Or just move everyone in the world to southern California and be done with it.

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17 hours ago, Ellinwood said:

This is too subjective of a question to answer.

conduct a survey of the "general" people.

A surprisingly unscientific answer for a scientist, albeit a brony one.

Conducting a survey of people -> subjective results

Using the same formula on every city -> standardized objective climate score result

 

As meteorologists, all I'm asking for are metrics that can be used to build said formula (and even suggest a formula if you're up to it). Yes, the creation of that formula is subjective, but that doesn't concern me because as long as that same formula is used across all the data, then all the resulting climate scores will be relative to each other and you can compare them. Which would be pretty cool.

 

I'll start: perhaps ClimateScore = AverageAnnualLowTemp + Average(AverageAnnualHighTemp,AverageAnnualHighTemp), and then some other operation involving humidity, or perhaps rainfall. Or even % cloudy/sunny days in a given year.

 

See? It can be a fun problem to think about.

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5 minutes ago, isaacbinding said:

the creation of that formula is subjective

Exactly. Different variables mean different things to people, would get weighed differently, and would be included/not included based on who is giving the suggestions. The result could mean a high score for a place like Denver and a very low score for a place like Los Angeles, or vice versa. Hence my questioning of using a weather board biased toward cold and snow to make a standardized index.

Now, if you wanted to make several standardized indexes for different groups of interests (ie loves cold+snow, or wants lots of sun+warmth), that could be more interesting.

If this is just a thought experiment for making one standardized formula, then it's fine. I can dig it being a "fun problem to think about." The "Help/Suggest" in the topic and the general tone of the original post implies that you might try to implement this in some form or another.

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