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A Statistical Analysis  of  Trends of Cold Air Outbreaks and Anomalously Cold Day A Statistical Analysis  of  Trends of Cold Air Outbreaks and Anomalously Cold Day

A Statistical Analysis of Trends of Cold Air Outbreaks and Anomalously Cold Day - PowerPoint Presentation

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Uploaded On 2023-07-09

A Statistical Analysis of Trends of Cold Air Outbreaks and Anomalously Cold Day - PPT Presentation

in the United States Previously The Northeast region was explored to understand general trends in both a nomalously cold day and CAO frequency Trends appeared to show a decrease in both anomalously cold days and CAO frequency for the northeast ID: 1007528

region trends seasons cold trends region cold seasons statistically frequency anomalously significant winter summer values spring days regions cao

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1. A Statistical Analysis of Trends of Cold Air Outbreaks and Anomalously Cold Day in the United States

2. Previously…The Northeast region was explored to understand general trends in bothanomalously cold day and CAO frequency.Trends appeared to show a decrease in both anomalously cold days and CAO frequency for the northeast.

3. This Time:The analysis performed in the northeast has been expanded to the remaining NCEI regions within the United States to determine regional differences in anomalously cold day and CAO trends.This particular presentation will group the nine NCEI regions into those that lie west or east of the Rocky Mountains and scrutinize all nine of their statistical trends of cold days and CAOs individually.The east-west division follows the one seen in Scott Runyon’s work.

4. Definitions Used Throughout This Presentation (For Reference)Anomalously Cold Day: Any day where the minimum temperature recorded at a station is less than or equal to a 31-day centered moving mean of the climatological 5th percentile of that day’s minimum temperatures.Cold Air Outbreak (CAO): A sequence of three or more anomalously cold days recorded at a station.Regional CAO: Two or more stations within an NCEI U.S. Climate Region share the same sequence of 3+ anomalously cold days with a minimum of one overlapping day.Statistical Significance: When the coefficient of determination (R2) for the frequency plots is greater than or equal to 0.2. This is the value that Scott Runyon used in his heat wave study.

5. U.S. Regions West of the Rockies

6. Regions and Stations in the Western U.S.Northwest Region StationsWest Region StationsSouthwest Region StationsSeattle, WASan Francisco, CASalt Lake City, UTSpokane, WALos Angeles, CADenver, COMedford, ORLas Vegas, NVPhoenix, AZBoise, IDReno, NVAlbuquerque, NMEly, NV

7. Southwest Region: Anomalously Cold DaysNegative trends of frequency evident across all seasons.Trends are statistically significant for all seasons.Summer (fall) shows the largest (smallest) R2.

8. Southwest Region: CAOsDecreasing trends of frequency visible across all seasons. None of the trends are statistically significant.Highest (lowest) R2 values seen in Spring and Winter (Fall)

9. West Region: Anomalously Cold DaysOverall, trends of frequency appear to be decreasing across all seasons. All trends are statistically significant.Summer (Winter) shows the largest (smallest) R2 though

10. West Region: CAOsDecreasing trends of frequency visible across all seasons. All trends (except for winter) are statistically significant.Highest (lowest) R2 values seen in Spring (winter).

11. Northwest Region: Anomalously Cold DaysNegative trends of frequency evident for all seasons. Trends statistically significant for spring and summer.Trends not statistically significant for fall and winter days.Summer (winter) shows the largest (smallest) R2.

12. Northwest Region: CAOsDecreasing trends of frequency visible across all seasons. None of the trends are statistically significant.Highest (lowest) R2 values seen in spring (summer).

13. U.S. Regions East of the Rockies

14. Regions and Stations East of the Rockies

15. Regions and Stations East of the Rockies (Continued)Northeast Region StationsSoutheast Region StationsCentral Region StationsEast North Central Region StationsWest North Central Region StationsSouth Region StationsCaribou, MEWashington, D.C.Chicago, ILInternational Falls, MNGreat Falls, MTTopeka, KSAlbany, NYNorfolk, VASt. Louis, MOMinneapolis, MNBillings, MTDodge City, KSBoston, MARaleigh-Durham, NCCincinnati, OHMilwaukee, WIBismarck, NDOklahoma City, OKErie, PACharleston, SCNashville, TNDes Moines, IAPierre, SDLittle Rock, ARPittsburgh, PAAtlanta, GACheyenne, WYAmarillo, TXNew York City, NYTallahassee, FLNorth Platte, NEEl Paso, TXTampa, FLSan Angelo, TXMiami, FLWaco, TXPort Arthur, TXCorpus Christi, TXNew Orleans, LAMeridian, MS

16. Northeast Region: Anomalously Cold DaysTrends are decreasing in frequency across all four seasons.Statistically significant trends evident for summer and fall seasons.Statistically insignificant values for fall and spring.Summer (winter) have largest (smallest) R2 values.

17. Northeast Region: CAOsTrends are exhibiting very slight decreases in frequency across all four seasons.Statistically insignificant trends evident for all seasons.Summer (spring) have largest (smallest) R2 values.

18. Southeast Region: Anomalously Cold DaysTrends are decreasing in frequency across all four seasons.Statistically significant trends evident for summer and fall seasons.Statistically insignificant values for fall and spring.Summer (winter) have largest (smallest) R2 values.

19. Southeast Region: CAOsDecreasing trends in frequency visible across all seasons. None of the trends are statistically significant.Highest (lowest) R2 values seen in summer (winter).

20. Central Region: Anomalously Cold DaysDecreasing trends in frequency evident across all seasons. None of the trends are statistically significant.Summer (winter) have the largest (smallest) R2.

21. Central Region: CAOsDecreasing trends visible across all seasons. None of the trends are statistically significant.Highest (lowest) R2 values seen in Spring (summer and winter).

22. East North Central Region: Anomalously Cold DaysDecreasing trends visible across all seasons. None of the trends are statistically significant.Highest (lower) R2 values seen in Spring (winter).

23. East North Central Region: CAOsDecreasing trends visible across all seasons. Spring trends are statistically significant. The rest of the trends are not.Highest (lowest) R2 values seen in spring (summer).

24. West North Central Region: Anomalously Cold DaysVery slight decrease in frequency of cold days across all four seasons.Trends for all seasons are statistically insignificant.R2 largest (smallest) for winter (summer).

25. West North Central Region: CAOsVery slight decrease in frequency trends visible across all seasons. None of the trends are statistically significant.Highest (lowest) R2 values seen in winter (fall).

26. South Region: Anomalously Cold DaysTrends show that there is a very slight decrease in the number of cold days across all four seasons.Trends appear to be statistically insignificant across all four seasons in this region.Winter (spring) shows the largest (smallest) statistical significance.

27. South Region: CAOsSlightly decreasing trends of frequency visible across all seasons. None of the trends are statistically significant.Highest (lowest) R2 values seen in winter (spring).

28. Summary and Future WorkAll nine regions appear to be experiencing a decrease in both anomalously cold days and regional CAO frequency. This trend is noticeable across all seasons.Statistically significant decreasing trends more common in the three western regions for all seasons. Cold Days/CAO frequency peaks early, in the late 1940’s-1950’sSeasonal trends for CAOs and anomalously cold days for all 6 regions east of the Rockies are statistically insignificant for the most part. The seasonal trends in the southeast region, though statistically insignificant, possesses the highest R2 values for its decreasing anomalously cold day and regional CAO trends. Cold days/CAOs frequency generally tend to peak in the 1960’s-1970’s.Future Work:Composite all of the eastern and western NCEI regions together to determine trends in CAOs and anomalously cold days across each.Should we also break down the 1948-2015 period into two time periods (for example, use 1948-1960, 1961-2015 per Scott’s work and DeGaetano and Allen (2002)) and compute trend lines for each individual period?Bin regional CAOs by duration and perform a statistical analysis on trends of CAO duration based on how frequent CAOs of certain durations appear.Construct CAO-centered composites to determine large-scale and synoptic-scale CAO evolution patterns.