Midterm Flashcards

1
Q

Milankovitch cycles

A

Milankovitch cycles are periodic changes in the orbital characteristics of a planet that control how much sunlight it receives, thus affecting its climate
Milankovitch thought that the temperature on Earth was influenced by 3 variables related to the position of the earth relative to the sun. If the northern hemisphere receives less energy from the sun in the summer, the ice on the North Pole will not melt and an ice age may arise.

CO2 didn’t initiate global warming from past ice ages, but it did amplify the warming. In fact, about 90% of the gobal warming followed the CO2 increase

During a volcanic eruption, a lot of ash is released into the atmosphere and blocks the sunlight

But the volcanoes emit greenhouse gas CO2 which causes the temperature to rise

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

There are three main orbital variations in Milankovitch cycles

A

Eccentricity: changes in the shape of the earth’s orbit, Obliquity: changes in the tilt of the Earth’s rotational axis and Precession: wobbles in the Earth’s rotational axis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What is Eccentricity?

A

The changes in the shape of the earth’s orbit

The earth does not orbit the sun in a circle, but in an ellipse shape, in which the sun is not centred. This is called eccentricity.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What is obliquity?

A

The changes in the tilt of the Earth’s rotational axis

Obliquity is the tilt of the Earth’s axis relative to the sun. The wider the angle of the tilt, the more the northern hemisphere turns toward the sun in summer and the more ice melts. The smaller the angle, the less ice melts and greater chance of ice age. The obliquity changes every 41,000 years

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What is Precession?

A

The wobbles in the Earth’s rotational axis.

Precession is a toll mvoement around the earth’s axis that changes every 26, 000 ears

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What is the greenhouse effect?

A

The greenhouse effect is the way in which heat is trapped close to earth’s surface by “greenhouse gases”.
These heat trapping gases can be thought of as a blanket wrapped around Earth
If there was no trapping of heat by greenhouse gases, our global mean temperature would be -18 celcius
Global mean temperature has gone up as greenhouse gas concentrations have gone up
For future, they have formulated a number of scenarios concering future emissions (some have reductions of greenhosue gas emissions) and have attempted to estimate what would happen under those scenarios

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What are greenhouse gases?

A

Earth’s greenhouse gases trap heat in the atmosphere and warm the planet
The main gases are carbon dioxide, methane, nitrous oxide, water vapor and flurinated gases

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

IPCC Projected effects of climate change

A

IPCC predicts global surface temperature will continue to increase under all emissions scenarios considered
Many changes in the climate system become larger in direct relation to increasing global warming.
Continued global warming is projected to further intensity the global water cycle, including its variability.
Under scenarios with increasing CO2 emissions, the ocean and land carbon sinks are projected to be less effective at slowing the accumulation of CO2 in the atmosphere
Many changes due to past and future greenhouse gas emissions are irreversible for centuries to millennia, especially changes in the ocean, ice sheets and global sea level.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Multiple Model Approach

A

Our information about the earth’s climate system is limited because our climate system is so big, a computer model cannot come close to a detailed model of the Earth’s atmosphere
These models are intentionally created to have different simplifying assumptions and use different methods of modelling
The average of the outputs of an ensemble of many models is more reliable than the output of any of them

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What are Robust Predictions?

A

If all models in the ensemble agree on something, then this is regarded as likely to be accurate. This is because if the models differ from reality in different ways, there is some hope that their errors will differ.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Climate proxies

A

In place of thermometer readings, climate scientists use available data that is correlated with temperature.
Tree rings, ice cores, bore holes, coral skeletal rings, fossil pollen grains, isotopes in lake and ocean sediments

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Hockey Stick graph

A

A hockey stick graph presents the global or hemispherical mean temperature record of the past 500-2000 years as shown by quantitative climate reconstructions based on climate proxy records. A hockey stick graph is one in which the blade is near zero before the graph turns upwards to a long nearly straight increasing section

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Deductive and inductive arguments

A

A deductively valid argument means there is no way that the conclusion could be false unless at least one of the premises is false. If the premises are all true, then the conclusion must be true.

Inductive arguments are intended to guarantee that the conclusion is true, even if all the premises are true. Any argument whose premises are all about things that have been observed in the past and whose conclusion is about the future, is an inductive argument

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What is a hypothetico-deductive method?

A

From a hypothesis, H, deduces a prediction, O, that can be tested by observation or experiment. that is if H then O. Check to see wheher O is true, if not, reject H, if O is true, this provides support for H.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Poisson’s prediction

A

Poisson did a calculation that showed that, according to Fresnel’s theory, if light was projected on a disk, light would be diffracted around the edges and there would be a bright spot in the middle of the shadow. Poisson thought this was obviously wrong, and was a problem for Fresnel’s theory. Francois did the experiment and observed the spot. Fresnel won the prize

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What is Statistical hypothesis testing?

A

Standard statistical testing technique , you start with a hypothesis that you want to test, this is the test hypothesis (kombucha is an effective way to treat cold symptoms). Then you formulate a null hypothesis, the opposite of the test hypothesis (kombucha has no effect on cold symptoms).

You choose some indicator of the effect you’re looking for. You design the experiment in such a way that, if the null hypothesis is true, there is a well-defined probability for each possible value of the indicator variable
You choose a threshold for statistical significance, so 1/20 or 1/100.
You then do the experiment, you get some value of an indicator variable (results)

On the supposition that the null hypothesis is true, what is the probability of getting a value of the indicator variable that is at least as good as the one that I got?

The answer is the P-Value of the result
A small value means it is not very likely that we would get a result like this if there’s no effect

17
Q

What is a p value?

A

P-values can indicate how incompatible the data are with a specified statistical model.
P-values do not measure the probability that hte studied hypothesis is true, or the probability that the data were produced by random chance alone.
Scientific conclusions and business or policy decisions should not be based only on whether a p-value passes a specific threshold.
Proper inference requires full reporting and transparency.
A p-value or statistical significance, does not measure the size of an effect or the importance of a result.
BY itself, a p-value does not provide a good measure of evidence regarding a model or hypothesis

18
Q

What is IPCC?

A

IPCC is intergovernmental panel on Climate Change and was formed by UN in 1985 to evaluate the scientific literature and prepare summary reports

19
Q

What is the difference between Fisher and Neyman-Pearson’s appraoches to statistical hyppothesis testing?

A

Fishers conventional level of significance is both flexible (4-6%) and gradable (5% is significant, 1% is highly significant). Neyman-Pearson’s conventional decision level is fixed (1.1 and 0.9% convey different meanings and is not gradable).

Fishers test sets up a theoretical null hypothesis. Neyman-Pearson’s test does have a alternative hypothesis.

20
Q

How to calculate a P value?

A

ask yourself, what is the probability, if the null hypothesis is true, of getting a value of the indicator that is at least as high as the value obtained?

21
Q

What are the 4 axioms of porbability?

A
  1. For any proposition P, Pr(P) is greater than or equal to zero.
  2. If you are certain that P is the sort of proposition that is ture no matter what, then Pr(P) = 1
  3. If P and Q are mutually exclusive then Pr(PorQ) = Pr(P) + Pr(Q)
  4. For any proposition P&Q, if there is a conditional probability Pr(P|Q) then Pr(P&Q) = Pr(P|Q) x pr(q)
22
Q

Bayes Therom equation

A

Pr(H | E) = Pr(E | H) / Pr (E)
x Pr(H)

23
Q

An issue with the hypothetico-deductive method is…

A

sometimes we want to test hypotheses were no predictions can be deduced

24
Q

Why is replication important?

A

If some research group gets a positive result in a clinical trial, it is important that the trial be repeated

25
Q

Bayesian Reasoning

A

Bayesian reasoning lets you talk about the probability that the test hypothesis is true, whereas in standard reasoning you never attach a probability to hypothesis.

26
Q

What are proposals for reform of statistical practice?

A

Don’t base your conclusion solely on whether an association or effect was found to be statically significant. Don’t believe your P-value gives probability alone.

Don’t say statistically significant

27
Q

Base rate fallacy

A

This is ignoring the base rate in favour of individual information. Base rates are used to described the percentage of the population that demonstrates some characteristics

28
Q

What is a null hypothesis?

A

It is a type of statistical hypothesis that proposes that no stasticial significance exists in a set of given observations

29
Q

What is statistical significance?

A

Statistical significance helps quantify whether a result is likely due to chance or to some factor of interest