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Post by nei on Mar 28, 2019 17:29:56 GMT -5
When I made my "average climate by state" thread, I mentioned I wanted to do a "where in each state is closest to the state average". But I'm having trouble deciding how to measure how close two climatesare. I have monthly average high, average low and precipitation for each state. If I was just going by temperature, measuring how close a place in the state is to the average location seems easy. I'd compare the average highs and lows for each months, get a difference (absolute value so no negatives). And total the differences for all 24 differences. Whichever place has the smallest total wins. Unless I want to weight summer differences more cause there's less variation in summer temperatures. I also have precipitation. Precipitation has different units, should 1" of rain off be counted the same as 1°F ? 2°F? I guess there's no right answer, but I'm interested to hear what other ideas people have.
Maybe there's something more complicated that'd be good? Percentiles? Hard to do anything too complicated as I only have monthly means. If this works out for states, maybe I could do a global version; like find places in the world with gridded data with means closest to your dream climate.
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Post by tij on Mar 28, 2019 17:43:40 GMT -5
nei can you perhaps use a curve where the difference between 7 and 8" is weighed less than the difference between 1" and 2" for a month? I think percentiles could work for this?
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Post by Steelernation on Mar 28, 2019 17:54:42 GMT -5
Maybe 1” of precipitation in a month = 5 f temperature...
I wouldn’t weight summer temps any more.
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Post by Donar on Mar 29, 2019 7:37:22 GMT -5
You could calculate the percentage of each stations' difference of the max difference observed in the state, for each metric like temperature and precipitation etc.
Then you have a unitless temperature and precipitation deviation that can be weighted (I would weight them the same).
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