// lecture 23 Flashcards

1
Q

why is CO2 highly correlated to ice volume?

A

incomplete answer: colder oceans can dissolve more atmospheric CO2.
- but possibly more plankton active taking CO2 out of atmosphere and/or seawater exchange between surface and deep was greater

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2
Q

Younger Dryas (YD)

A
  • example of rapid climate change
  • 14700 kbp, the warming trend reversed
  • relatively cold period lasted about 2,000 years
  • warmed very abruptly about 12,000 years ago, and has been relatively stable since
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3
Q

cause of YD

A
  • probably by ice sheet breakup and flooding in the northern N. Atlantic
  • meltwater pulse could cause the thermohaline circulation to shutdown
  • reducing heat transport into northern n. atlantic
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4
Q

numerical weather prediction (NWP)

A
  • improvement in weather prediction data over the last 60 years is among the most impressive accomplishments of society; 3, 5, and 7 day forecasts have improved in both NH and SH
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5
Q

Lewis Fry Richardson

A
  • made the first numerical weather prediction in 1922
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6
Q

Richardson’s Dream: The Forecast Factory

A
  • filled with employees (“Computers”) doing calculations; estimated 64,000 people would be necessary to forecast over the global
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7
Q

Richardson’s Experiment

A
  • used data from - May 20, 1910 and made Leipzig charts for surface pressure and temp.
  • data was taken when haley’s comet was passing through; all values were tabulated by hand.
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8
Q

Richardson’s calculations

A
  • took 10,000 hours of work to perform calculations

- book lost during a battle, but eventually recovered and published in 1922

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9
Q

Richardson… failure or success?

A
  • first prediction was for pressure to change by 145 mbar in 6 hrs… that would be record setting
  • he realized that noisy wind data was likely the problem and suggested 5 diff. filtering methods to fix this
  • but he couldn’t try this experiment again, need computer’s of today
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10
Q

computer forecast w/ richardson’s proposed fix

A
  • becomes a good forecast with his filtering methods used
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11
Q

first weather prediction on computers

A
  • 1950: Charney, Fjortoft and von Neumann paper
  • May 1955: Joint numerical weather prediction unit, maryland: first operational computer forecasts in US
  • global coverage since 1973
  • computers surpassed human forecasts: 1980’s?
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12
Q

ENIAC computer (1943-56)

A
  • 17,468 vacuum tubes, was 1000 times faster than that of previous computing machines
  • original computer weather forecast done in 1950 can now be done on a cell phone
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13
Q

weather vs climate forecasting

A
  • similar bc use similar mathematical equations

- but weather is short term; climate is long term

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14
Q

Chaos Theory

A
  • Ed Lorenz was running a computer model and put in slightly different inputs; found the predictions were similar for a while but then wildly diverged to diff. solutions
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15
Q

Butterfly effect

A
  • Ed Lorenz; weather forecasts depend on initial observations but climate models don’t
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16
Q

Climate forecasts

A

examples
- summer is hotter than winter, after a strong volcano erupts, the earth will cool, the earth will be hotter with more GHG’s, shifts in weather patterns when El nino is present

17
Q

Suki Manabe: father of climate modeling

A
  • gradually builds up more sophisticated climate models:
  • radiation only model (LW and SW): M. and Moller (1961)
  • above plus convection: M. and Strickler (1964)
  • model with atmospheric motions (but no ocean yet): Smagorinsky, M. and Holloway (1965)
18
Q

first coupled climate model

A

Manabe and Bryan (1969)

19
Q

first global warming forecast

A

Manabe and Wetherald (1975)

20
Q

other early manabe studies

A
  • effect of ocean circulation on climate: turn off ocean model
  • effect of moisture: don’t allow condensation to occur
  • effect of mountains: bulldoze all topography
  • effect of changing soalr radiation, doubling CO2, ice sheets, clouds, soil moisture, etc.
21
Q

GCM (global climate model) Components

A
  • equations of fluid motion on a rotating sphere
  • both the atmosphere and ocean are just fluids
  • equations put simple physics principles in mathematical form
22
Q

parts of climate model - 1968

A
  • uses laws of physics
  • momentum equation
  • heat equation
  • water equation
  • for both atmosphere and surface and later ocean too
23
Q

change in resolution overtime

A

FAR -> TAR -> SAR -> AR4

24
Q

within each grid cell

A

there are things that are not explicitly modeled (clouds) that must be approx. or parameterized

25
Q

cloud schemes

A

cloud interactions are the most uncertain process in GCMs, lead to the largest differences between models