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Post by tommyFL on Feb 4, 2022 1:44:58 GMT -5
This map shows the ratio of the mean annual largest max temp departure to the mean annual largest min temp departure, i.e. whether the coldest temps of the year are more anomalous in the max or min temp. In other words, this shows regions where diurnal range decreases during cold periods due to cloud, wind, rain, snow etc. (purple) and regions where diurnal range increases during cold periods (yellow) under typically calm, clear conditions. A ratio lower than 1.0 indicates a larger anomaly can be expected in the min temp than the max temp. Source is 1991-2020 daily data from all 387 CONUS ThreadEx sites. Which type of cold anomaly do you prefer?
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Post by desiccatedi85 on Feb 4, 2022 7:39:29 GMT -5
The annual absolute minima should always be less anomalous than the maxima, as to say heat waves should be stronger than cold waves. Extreme cold is useless, boring, and kills palms, so it can fuck off.
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Post by nei on Feb 4, 2022 9:38:27 GMT -5
interesting how different the southeast coast is from Texas and Oklahoma. I'd expect the mins to be more anomalous, maybe prefer it a bit
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Post by knot on Feb 4, 2022 19:28:47 GMT -5
The annual absolute minima should always be less anomalous than the maxima, as to say heat waves should be stronger than cold waves. Extreme cold is useless, boring, and kills palms, so it can fuck off.Entirely irrelevant to the topic at hand. This thread clearly specifies the ratio of diurnal range to coldest conditions i.e., whether a place gets its coldest weather from cloudy low pressure conditions—or sunny high pressure conditions (which of course is colder in absolute terms than its low pressure counterpart, so you'd obviously prefer the cloudy cold).
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Post by psychedamike24 on Feb 5, 2022 1:36:16 GMT -5
The Bay Area isn't surprising, but the northernmost coast of California is. Where could relatively large variation in nighttime low temperature be coming from?
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