Title: A Synoptic Climatological Approach to the Identification of January Temperature Anomalies in the United States
1A Synoptic Climatological Approach to the
Identification of January Temperature Anomalies
in the United States
- Melissa Malin
- Katrina Frank
- Steven Quiring
- Richard Boutillier
- Laurence Kalkstein
- Center for Climatic Research
- Department of Geography
- University of Delaware
2January Temperature AnomalyThe January Thaw
- an anomalous warm spell that occurs during the
coldest time of year - a singularity a characteristic meteorological
condition that tends to occur on or near a
specific calendar date. American
Meteorological Society - has roots in New England weather folklore
- discrepancies exist as to the timing of the
singularity - possible causal mechanisms include
- oceanic forcings (Hayden 1976)
- atmospheric patterns (Wahl 1953)
- extra-terrestrial events (sunspots, meteor
showers) - (Bowen 1956, Newman 1965)
3Goal of the Project
- identify winter temperature singularities across
the United States and the inter- and intra-
regional variability of the event(s) - assess the potential that changes in air mass
frequency are a causal mechanism for the event(s) -
4Study Area
West
Mountain
East
Great Plains
Midwest
5MethodsData
- Study Period
- December 1February 28, 19482000
- Air Temperature Data
- 4 a.m. 4 p.m. Average Daily Air Temperature
- National Climatic Data Center
- Spatial Synoptic Classification Air Mass Data
- Dry Moderate (DM) / Dry Moderate (DM)
- Dry Polar (DP) / Dry Polar - (DP-)
- Dry Tropical (DT)
- Moist Moderate (MM)
- Moist Polar (MP) / Moist Polar (MP)
- Moist Tropical (MT)
- Transition (TR)
6MethodsWindowing
Philadelphia, Pennsylvania
Window Number
- daily average temperature data plotted for each
station - standardized using a five-day moving window
7MethodsIdentification of Singularities
Window Number
- second-order polynomial curve fit for winter
trendline - upper/ lower bounds set at two standard
deviations
8MethodsIdentification of Singularitiesexample
at Mountain Region station
Cheyenne, Wyoming
Upper Bound
Thaw singularity at January 16-18
Lower Bound
Winter Trendline
Freeze singularity at January 2- 4
9ResultsIdentification of SingularitiesDecember
25
10ResultsIdentification of SingularitiesDecember
26
11ResultsIdentification of SingularitiesDecember
27
12ResultsIdentification of SingularitiesDecember
28
13ResultsIdentification of SingularitiesDecember
29
14ResultsIdentification of SingularitiesDecember
30
15ResultsIdentification of SingularitiesDecember
31
16ResultsIdentification of SingularitiesJanuary 1
17ResultsIdentification of SingularitiesJanuary 2
18ResultsIdentification of SingularitiesJanuary 3
19ResultsIdentification of SingularitiesJanuary 4
20ResultsIdentification of SingularitiesJanuary 5
21ResultsIdentification of SingularitiesJanuary 6
22ResultsIdentification of SingularitiesJanuary 7
23ResultsIdentification of SingularitiesJanuary 8
24ResultsIdentification of SingularitiesJanuary 9
25ResultsIdentification of SingularitiesJanuary 10
26ResultsIdentification of SingularitiesJanuary 11
27ResultsIdentification of SingularitiesJanuary 12
28ResultsIdentification of SingularitiesJanuary 13
29ResultsIdentification of SingularitiesJanuary 14
30ResultsIdentification of SingularitiesJanuary 15
31ResultsIdentification of SingularitiesJanuary 16
32ResultsIdentification of SingularitiesJanuary 17
33ResultsIdentification of SingularitiesJanuary 18
34ResultsIdentification of SingularitiesJanuary 19
35ResultsIdentification of SingularitiesJanuary 20
36ResultsIdentification of SingularitiesJanuary 21
37ResultsIdentification of SingularitiesJanuary 22
38ResultsIdentification of SingularitiesJanuary 23
39ResultsIdentification of SingularitiesJanuary 24
40ResultsIdentification of SingularitiesJanuary 25
41ResultsIdentification of SingularitiesJanuary 26
42ResultsIdentification of SingularitiesJanuary 27
43ResultsIdentification of SingularitiesJanuary 28
44ResultsIdentification of SingularitiesJanuary 29
45MethodsAir Mass Frequency AnalysisSecond-Order
Polynomial Fit
Bismarck, North Dakota Dry Polar -
- fit trendline to winter air mass frequency
- found differences to winter air mass trendline
46MethodsAir Mass Frequency AnalysisLinear Fit
Philadelphia, Pennsylvania Moist Polar
- correlated air mass frequency differences with
temperature singularities - r gt 0.8 strong correlation, 0.8 ? r ? 0.5
moderate correlation, r lt 0.5 weak
correlation
47ResultsJanuary Thaw
- Mountain
- no clear signal
- character, rather than frequency, of air masses
may be changing? - Plains
- increased DP and decreased DP- frequency
- suggests character change
- Midwest
- increased MT and decreased DT suggests
circulation pattern change
48ResultsJanuary Freeze
- West
- increased polar frequency
- decreased moderate frequency
- Plains
- decreased DP and increased DP- frequency
- suggests character change
49Conclusionsand Directions for Future Research
- this research offers strong support for the
existence of cohesive January Thaw and January
Freeze events - show signs of systematic movement across the
United States - suggests potential of circulation as causal
mechanism - air mass analysis shows . . .
- Freeze associated with less frequent warm air
masses, more frequent cold air masses - Thaw not clearly associated with air mass
frequency - need for an investigation of air mass character
- and upper level flow patterns