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  • 7/27/2019 Climate Variability and Climate Change

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    Climate Variability and Climate ChangeWHAT IS THE DIFFERENCE?

    Te summer o 2009 was one o Michigans coldest summers onrecord. In June o the same year, the U.S. Global Change ResearchProgram published a report stating: Observations show that warmingo the climate is unequivocal. How can scientists say climate ischanging i a sweatshirt is needed to stay warm on a July aternoon?

    Te key to making sense o what seems like contradictory evidenceis to understand that just as the weather varies naturally, so too doesclimate. Even though scientists have no doubt that climate is warming,natural climate variability will always occur. We cannot draw conclu-sions about climate change based on one summer. Tere will be ups

    and downs even i we are in the middle o a warming trend. Case inpoint: while summer 2009 was near-record cold, the summer o 2010was one o the hottest on record.

    Understanding the dierence between climate variability and climatechange and how scientists study both allows us to interpret inor-mation on weather and climate and to make sense o our environment.

    Climate Variability

    Climate varies over seasons and years instead o day-to-day likeweather. Some summers are colder than others. Some years havemore overall precipitation. Even though people are airly perceptiveoclimate variability, it is not as noticeable as weather variabilitybecause it happens over seasons and years. Evidence includes state-

    ments like: the last ew winters have seemed so short, or there seemto be more heavy downpours in recent years.

    Scientists think oclimate variabilityas the way climate uctuatesyearly above or below a long-term average value. You can think o itas a story with two parts: average and range. Tese parts complementeach other; understanding the range gives context to the average andvice versa.

    Average Whats Typical

    Climate isnt dened by any particular timerame, however scientiststypically use average weather conditions over 30-year time intervalsto track climate. Tese 30-year averages are called climatologicalnormals, and are used to determine, monitor or represent the climate

    or a specic slice o climate at a particular location. Tirty years odata is long enough to calculate an average that is not inuenced byyear-to-year variability.

    Normals can be calculated or a variety o weather variables, such as

    M I C H I G A N S E A G R A N T

    temperature or precipitation based on data rom weather stations inthe region o interest.

    Tere is signicant year-to-year variability around these 30-yearaverages. For example, in Figure 2 the normal daily maximumtemperature or February 15 in South Haven, Michigan is 34.2From 1961-1990. But or each year in that range, the daily maximumtemperature is not exactly 34.2F (e.g., in 1967 it was 50F, in 1979it was 20F). Tis year-to-year uctuation around the normal isclimate variability.

    Key TermsnClimate variability Te way climate uctuates yearly above or

    below a long-term average value.

    nClimate change Long-term continuous change (increase ordecrease) to average weather conditions or the range o weather.

    nClimatological normal 30-year average o a weather variable.

    Range the Variety

    Averages only tell hal the story o climate variability. Te varietyaround the average the range o weather is the other hal.When an average is calculated, the variety o the data withinis smoothed. But there is much to gain rom understandingthis variety, especially the extremes. For example, the average air

    temperature in Marquette, Michigan was 42.3F in 2010. But withinthat year, Marquette residents had to deal with a high o 90F degreesand a low o -8F. I you were moving to Marquette and packedonly clothes suited or the average temperature, youd be shiveringin January and overheating in August. Studying the requency andmagnitude o extremes such as heavy downpours, cold snaps andheat waves is important because these events aect communitiesthe most.

    Why Study Variability?

    We use these averages and ranges to make important societaldecisions. For example, climatologal normals o precipitation andhistorical records o storm events are used to calculate probabilities

    o uture rain events. Engineers can then use these data to designcommunity stormwater drainage systems.

    Tese data also serve as a baseline against which to compare currentweather and climate data. Without a baseline we have no way tounderstand how current observations t into the bigger picture.

    www.miseagrant.umich.edu/climate

    Common drivers o climate variability include El Nio and La Nia events, which are shits o warm, tropical Pacic Ocean currents thatcan dramatically aect Michigans winters. El Nios give us milder, less snowy winters (such as the winter o 2009-2010), while La Niasgive us colder, snowier winters (such as the winter o 2007-2008). Other drivers o climate variability include volcanic eruptions andsunspots. Sometimes climate varies in ways that are random or not ully explainable.

    What Causes Climate Variability?

    CONTINUED ON BACK

  • 7/27/2019 Climate Variability and Climate Change

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    MICHU-11-

    www.miseagrant.umich.edu/climate

    Michigan Sea Grant enhances the sustainability

    of Michigans coastal communities, residents, and

    businesses through research, outreach and education.

    For example, lets say you received a B on your latest report card. Howdo you know i this B is a sign o improvement or i your perormanceis getting worse? It depends how you did on previous report cards.Without a baseline, its impossible to tell.

    Climate Change

    I climate variability is year-to-year variation, what is climate change?Climate change is a long-term continuous change (increase or decrease)to average weather conditions (e.g. average temperature) OR the range

    o weather (e.g. more requent and severe extreme storms). Both canalso happen simultaneously. Long-term means at least many decades.Climate change is slow and gradual, and unlike year-to-year variability,is very difcult to perceive without scientic records.

    How do scientists detect climate change? Tey look or long-termcontinuous changes (trends) in climatological averages and normalsand the variety around these averages. Climate in the Great Lakesregion is generally highly variable in the short term, which makesit difcult to tease apart natural variability rom long-term change.However, looking at data since the late 1800s reveals some signicantshits in temperature, total precipitation, and extreme events in recentdecades in the Great Lakes region. Scientists use this evidence toconclude that climate is indeed changing.

    Climate change occurs because o changes to Earths environment,like changes in its orbit around the sun or human modication o theatmosphere. Tere is nothing inherently wrong with climate change. Ithas happened in the past and will happen again. Te current concernstems rom the rate o change how quickly changes are happening.Scientists have ound that the current rate o temperature increase ishigher than any previously seen in the last 800,000 years. Evidencestrongly indicates that human-driven changes in the atmosphere arecontributing to the unprecedented rate o temperature increase.

    Using historical weather data rom a weather station in South Haven,Michigan, a coastal community on the Lake Michigan shoreline, wecan graphically illustrate the climate change and variability conceptsusing a real lie example:

    n Figure 1 shows how day-to-day weather data is averaged tobecome climate data.

    n Figure 2 illustrates climatological normal, climate variability,extreme events and range.

    n Figure 3 depicts long-term historical mean and climate change.

    Constant Variability

    Tere will always be natural climate variability at many scales decadal, yearly and short-term extreme events. Tis means that overthe long-term record, there will be ups and downs with the yearly and30-year averages, even i climate is getting warmer. We cannot expect

    every summer to be warmer than the previous one, but we can expectand plan or variability.

    Main conceptual Graphic:Tree panels o graphs,oriented vertically one overtop the other, tracking a single

    weather point through all theother graphs. Keely will workon this

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    DAILY HIGH TEMPERATURE, SOUTH HAVEN, MIJanuaryMarch 1981

    DATE

    DAILY: The high temperature on

    February 15, 1981 was 46F.

    Each daily high is weather.

    MONTHLY AVERAGE: The

    average daily high temperature

    forFebruary 1981 was 37.4F.

    Monthly averages are used to

    trackclimate.

    SEASONAL AVERAGE: The average

    daily high temperature forWinter 1981

    was 36.9F. Seasonal averages are used

    to trackclimate.Feb 15, 1981

    TEMPER

    ATURE(F)

    JANUARY FEBRUARY MARCH

    510

    15

    20

    25

    30 5

    10

    15

    20

    25 5

    10

    15

    20

    25

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    60

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    HIGH TEMPERATURE - FEBRUARY 15, SOUTH HAVEN, MI1961-1990

    YEAR

    30-year

    highest high

    30-year

    lowest high

    1962

    1963

    1964

    1965

    1966

    1967

    1968

    1969

    1970

    1971

    1972

    1973

    1974

    1975

    1976

    1977

    1978

    1979

    1980

    1981

    1982

    1983

    1984

    1985

    1986

    1987

    1988

    1989

    1990

    The average daily high temperature for

    Feb 15 from 1961-1990 was 34.2F. This is

    the 30-year average, orclimatological normal,

    for 1961-1990, indicated by the dashed line.

    The nearly

    flat trendline

    indicates that

    over this

    30-year period,

    there is nosignificant

    warming or

    cooling trend.

    The variety of data points above and below the

    climatological normal is climate variability.

    The range indicates how much above or below

    the year-to-year data differs from the normal.

    Feb 15, 1981

    TEMPERATURE(F)

    18

    96

    19

    00

    19

    04

    19

    08

    19

    12

    19

    16

    19

    20

    19

    24

    19

    28

    19

    32

    19

    36

    19

    40

    19

    44

    19

    48

    19

    52

    19

    56

    19

    60

    19

    64

    19

    68

    19

    72

    19

    76

    19

    80

    19

    84

    19

    88

    19

    92

    19

    96

    20

    00

    20

    04

    20

    08

    33.3F

    (1921-1950)

    33.1F

    (1911-1940)

    30.6F

    (1901-1930)

    33.9F

    (1931-1960)

    34.3F

    (1941-1970)

    34.1F

    (1951-1980)

    34.2F

    (1961-1990)

    35.3F

    (1971-2000)

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    HIGH TEMPERATURE - FEBRUARY 15, SOUTH HAVEN, M1896-2010

    YEAR

    30-year Normals

    Record:

    lowest

    daily high

    Record: highest

    daily high

    Thelong-term mean

    since 1896 is 33.3F,

    indicated by the

    dashed line.

    The variety of data

    points above and below

    the the long-tem mean

    is climate variability.

    The upward sloping trendline

    indicates a warming trend since

    1896. This is climate change.

    Feb 15, 1981

    TEMPERATURE(F)

    ReferencesClimate Literacy: Te Essential Principles of ClimateSciences. U.S. Global Change Research Program.March 2009. Available at: http://www.climate.noaa.gov/education/pds/ClimateLiteracy-8.5x11-March09FinalHR.pd

    Global Climate Change Impacts in the United States.2009. U.S. Global Change Research Program.Available at: http://globalchange.gov/publications/reports/scientic-assessments/us-impacts

    All Michigan-specic data reerenced in this actsheetwas obtained rom the Midwest Regional ClimateCenter: http://mrcc.isws.illinois.edu

    om Worko, Midwest Regional Climate Center.Personal Communication, 2011.

    Elizabeth LaPorte, Michigan Sea Grant(734) 647-0767, [email protected]

    Contact

    Author: Keely Dinse,Michigan Sea Grant