// 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
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
3
Q
2014 update
A
- Tianhe2 is even faster.
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
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
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
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.
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
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
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
11
Q
CMIP5 models and ENSO
A
- many models do a good job simulating ENSO variability
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