// lecture 24 Flashcards

1
Q

K Computer - fastest known

A

housed at the riken advanced institute for computational science in Kobe, has 672 computer racks and 68,544 CPUs

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2
Q

2012 update

A

says there’s more powerful computer called Sequioa at the Livermore National Laboratory and can do 16.3 petaflops compared to K Computer’s 10.3 petaflops

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3
Q

2014 update

A
  • Tianhe2 is even faster.
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4
Q

2012 update: increase with time

A
  • factor or ten increase in speed about every ~5 years.
  • doubling every 18 months, Moore’s Law
  • log scale
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5
Q

validating climate models

A
  • we validate forecasts incrementally as we go along, we are experimenting in real time
  • we have a challenge to estimate how accurate 2050 or 2100 climate forecast will be
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6
Q

other ways to validate climate models

A
  • how much cooling after a volcano?
  • can we reproduce the last ice age conditions given CO2, solar, etc.
  • can the climate of the 20th century be repdocued given GHG, solar, volcanoes, and aerosols
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7
Q

cloud feedback

A
  • Clouds have a strong impact on the radiation balance
    of Earth
  • Reduce OLR by about 30 Wm-2
  • Reduce Absorbed Solar Radiation ~ 50Wm-2
  • Net effect about -20 Wm-2
    -The effect of doubling CO2 is only about 4Wm-2
  • If their radiative effects change with global warming,
    the effect could be a very significant cloud feedback.
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8
Q

cloud feedback continued

A
  • If clouds get brighter and reflect more solar radiation
    as the climate warms, that would be a NEGATIVE FEEDBACK
  • If clouds get higher and colder and trap more
    outgoing longwave radiation as the climate warms, that would be a POSITIVE FEEDBAC
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9
Q

cloud feedback in models

A
  • varies because of SW cloud feedback, the reflectivity of clouds changes as the climate warms
  • mostly models say clouds will reflect less radiation as the climate warms, a pos. feedback
  • but this is uncertain
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10
Q

other successful predictions of climate models

A
  • more warming at night than day
  • most warming in arctic than anywhere else (Esp during winter)
  • least warming in/around Antarctica
  • wet gets wetter and dry gets drier
  • tropopause (at the top of the weather layer of the atmospehre) moves upward
  • large scale tropical circulations weaken
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11
Q

CMIP5 models and ENSO

A
  • many models do a good job simulating ENSO variability
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12
Q

different CO2 scenarios give different warmings

A

business as usual gets about 4C warming by end of century of 8C by 2300.

  • a couple possible scenarios keep warming under 2C
  • model spread gives an estimate of uncertainty of these projections
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