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Heat Waves

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The 1995 Heat Wave: How Likely is a Recurrence? By: Thomas R. Karl & Richard W. Knight Heat Waves Contribution of Land-Atmosphere Coupling to Recent European Heat Waves – PowerPoint PPT presentation

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Title: Heat Waves


1
Heat Waves
The 1995 Heat Wave How Likely is a Recurrence?
By Thomas R. Karl Richard W. Knight
Contribution of Land-Atmosphere Coupling to
Recent European Heat Waves
By Fischer, Seneviratne, Lüthi, Schär
  • By Kathryn Bullinger

Double Major Geography and Earth Sciences
Kathryn Bullinger
Geography and Earth Sciences Double Major
2
Lets Start with the Basics
What are they? (if the name alone isnt enough
of a clueseriously.)
  • Defined It is a prolonged period of excessive
    heat, often accompanied by excessive humidity.
  • Qualifications
  • The weather is noticeably warmer than normal for
    the time of year and climate.
  • The unusual weather continues for a prolonged
    period of time long enough to be considered a
    specific phase.
  • The weather will most likely bring about some
    sort of increased risk to humans and animals, and
    may place an increased strain on power supplies.

3
How Does This Happen?
  • When an air mass becomes quasi-static/stationary
    over a region (and it meets all those
    qualifiers), it is labeled a heat wave.

4
Why they are Dangerous
  • Heat kills by taxing the body beyond its normal
    abilities.
  • On average, lt 1000 Americans die heat-related
    deaths each year (as reported by the American
    Meteorological Society)
  • Heat waves kill more Americans than any other
    type of natural disaster.

5
Why they are Dangerous Contd.
  • People who live in urban areas are at a greater
    risk from heat wave effects.
  • Stagnant atmospheric conditions trap pollutants.
  • Poor air quality aggravates health problems.
  • Asphalt and concrete store heat longer, which
    results in higher nighttime temperatures.
  • Known as the urban heat island effect.

6
The Chicago Heat Wave of 95
  • July 12th - 16th, 1995.
  • Approximately 700 people died in just 5 days.
  • July 13th
  • The temperature in the city hit 106 F.
  • Including the heat index, it felt hotter than
    120 F.
  • Chicagos infrastructure had a meltdown (almost
    literally).
  • Communities lost water pressure.
  • Train rails and roads buckled.
  • Paramedics, hospitals, and morgues overwhelmed.
  • Majority of deaths were elderly men who lived
    alone.

7
On to the 1st Paper!
  • The analysis
  • Considers the apparent temperature, Tap , which
    attempts to quantify the effects of temp. and
    moisture on the human body.
  • Focuses on the severity and duration of extreme
    heat waves relative to changes of mean T,
    variance, day-to-day persistence of T, and the
    cross correlations of these quantities.
  • Also created future scenarios for heat waves of
    similar or greater intensity.

8
Notable Points that they Took into Account for
their Analysis
  • High dewpoints play a key role in high Tap
    values.
  • Minimum T may be especially important.
  • Deaths due to heat are greatest during the 1st
    few days of a heat wave.
  • Acclimatization factors also seem to be important.

9
Assessing the Wave
  • Use the Tap algorithm developed by Steadman.
  • Tap values apply to shaded daytime conditions
    and night.
  • Focus on the the full distribution of hourly Ts
    during the 1st few days for 26 stations in and
    around the Chicago area.

10
Min, 25P, 50P, 75P, and Max T plotted for the
warmest annual 1, 2, and 3-day events in Chicago
history.
11
Calculated the average Tap for any 2-day period
during the 95 heat wave to help delineate the
aerial extent of the wave.
12
Calculating Trends of Tap
  • Used values from 1, 2, and 3-day intervals
    between June 15th and August 15th (the period of
    most intense summertime heat in the Midwest).
  • The analysis was performed for both observed Tap
    and those adjusted for the effects of the growth
    of the urban heat island.
  • Heat island adjustments applied based on the
    algorithm developed by Karl et al.
  • Used the algorithm to help develop an interval
    that would bound the effects of urbanization on
    T trends.

13
Applying the Algorithm
  • Assumed the hourly Ts at 1500 LT were associated
    with the max and Ts at 0600 LT with the min.
  • Started with a population of 0 for each urban
    area, with the final population estimate equal to
    the 1990 city census (to provide an upper bound
    for the effect of urbanization on the trends of
    T.

14
The Probability of Recurrence
  • 10,000 sequences on monthly July daily max and
    min values were simulated using various values of
    a 4-parameter model.
  • Mean Tap
  • Sa - the variance of monthly mean Tap calculated
    across years
  • Sm - the variance of Tap calculated for a given
    month using daily values
  • r - persistence coefficient of the daily Tap

15
  • Using the simulated July values of daily max and
    min Tap, the probability of exceeding specific
    thresholds of T can be easily calculated relative
    to what actually occurred during 1995.

16
Their Results
Is there a looming doomsday in our future?
  • The stationarity of Tap
  • The overall trends of Tap in the Midwest are more
    moderate than the Chicago results.
  • However, the climate in the Midwest appears to be
    stationary.
  • Sensitivity of the probabilistic model
  • Changes in mean Tap are important, but other
    parameters are also critical, such as persistence
    and variance.
  • Recurrence for the 95 heat wave in the present
    climate
  • The probability of max Tap exceeding 48.9 C two
    consecutive days in a row is lt 1 , or 1 in 150
    years.
  • The probability of having min Tap values above
    31.6 C for two consecutive days is extremely
    rare.
  • Recurrence for the 95 heat wave in a changed
    climate
  • Projected increases in T are by 3 C by the end
    of the next century due to greenhouse gases.
  • Faster return periods for extreme Ts.

17
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18
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19
The Sensitivity of Multivariate and Univariate
Changes
Daily max
Daily min
20
Their Summary
  • An event like the Chicago heat wave of 95 is
    quite rare, due to the elevated 2-day nighttime
    (min) temperatures.
  • Duration and intensity of heat waves have been
    shown to be affected by 4 parameters.
  • Min Tap probability results especially rare and
    unusual.
  • In their opinion, and event like the Chicago heat
    wave will not be repeated any time in the near
    future.

21
Guess What!? Im Not Done Yet!
Paper Number Twoomg
  • Most of the recent European heat waves have been
    preceded by a spring precipitation deficit.
  • Regional climate simulations conducted with and
    w/o land/atmosphere coupling for 4 major European
    heat waves 1976, 1994, 2003, and 2005.

22
An Intro to European Heat Waves
  • 2003 heat wave record-breaking over 40,000
    deaths.
  • Crop shortages.
  • Forest fires.
  • These highlight the importance of understanding
    what causes these extreme events.

23
The Experiment
  • Focuses on Europe and the north-eastern Atlantic.
  • Performs a 46-year simulation (1960-2005) with a
    coupled land-surface scheme (CL simulation).
  • Repeat the simulations for 76, 94, 03, and
    05, but with soil moisture uncoupled from
    atmospheric evolution (UCL simulation).
  • NHD and HWD

24
The 4 Major Waves
  • 1976
  • Confined to northern France and southern England
  • gt 35 hot days observed.
  • 16-month period of precip. deficits prior.
  • 1994
  • Affected central Europe and parts of the
    Mediterranean.
  • Somewhat weaker on the seasonal scale.
  • 2003
  • Record-breaking.
  • Affected central Europe and the Mediterranean.
  • 40-60 hot days observed.
  • 2005
  • Confined to the Iberian Peninsula and southern
    France.
  • Heat wave most pronounced in June.

25
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26
Simulations
27
What the Figures Show Us
  • Based on these simulations, it can be seen that
    the NHD as well as the HWD is substantially
    reduced if the soil moisture is prescribed (or
    dictated) by climatological mean conditions (UCL
    simulations).
  • T amplification through CL is stronger for daily
    max Ts than for min and mean Ts.
  • CL interactions contribute to an enhanced
    diurnal T range.

28
So Basically
  • Each of the 4 waves was preceded by a mean
    precip. deficit of at least 4 months.
  • CL simulations show excess in surface net rad.
    leading to an increase in evaporation.
  • CL is found to increase mean max and min Ts over
    unusually warm summers.

29
My Thoughts
  • There is no eminent danger of us being fried by a
    drastic spike in summer temperatures.
  • Heat waves do happen, but they are very
    infrequent.
  • Lack of precipitation plays a role in hotter
    temperatures for the approaching summer.
  • Future Study
  • I would be curious to see if there is a
    connection to heat waves on different continents
    during the same year. I think some investigation
    into that could be interesting

30
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