predicting climate change

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Last updated 11:41 AM on 10/9/26
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10 Terms

1
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feedback mechanisms make predicting climate change difficult

2
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what is proxy data

it is qualitative

3
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examples of proxy data

tree rings-thickness of rings indicate growth

ice cores- contain various gases which can show the atmosphere through periods of time

historical data- diaries. harvesting data- unreliable exaggerated- subjectivity

pollen- shows us type of species which have different range of tolerance.

ocean sediment- algae eat carbon 12- frustrations use carbon 13 if there’s less carbon 12

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combined effect of process

natural processes are interconnected, so one change may have unexpected effects.

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what is there a delay in?

cause and effect

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why is predicting future climate change difficult (3)

missing data,

complex systems- solar orientation

the unknown of the future

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how has prediction become more reliable?

data is collected more regularly

collected at more sites

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ways of data collections

satellites- low earth orbit and IR

argo floats

buoys

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how does the argo float work

real time data

depends to drifting depth - 1000m

drifts for 8-10 days

descends to profiling depth - 2000m

begins measuring temperature and salinity

continues measuring on ascent

10
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what is hind casting