Definitions Flashcards

1
Q

List 4 of 7 definitions for Risk

A
  1. Uncertainty that can be measured or quantified probabilistically
  2. The expected loss: probability x severity
  3. the effect of uncertainty on objectives
  4. potential for adverse consequences
  5. An unwanted event that may or may not occur
  6. Cause of an unwanted event that may or may not occur
  7. Probability of an unwanted event that may or may not occur
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2
Q

Define Climate Risk

A

Uncertainties generates due to changes in the climate

Changes in the probabilities of events due to changes in climate

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3
Q

Physical Climate Risks

A

They can be acute or chronic risks.

Risks associated with the impacts of climate change.

EXAMPLE: damage to property and infrastructure due to extreme weather

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4
Q

Transition Climate Risks

A

Risks related to the transition to a low-carbon economy / to solutions to mitigate climate change.

EXAMPLE: Change in the reliability of energy supply with transition to renewables

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5
Q

Define Risk Analysis

A

to develop an understanding between the cause, event and consequences

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6
Q

Define Risk Evaluation

A

Determine what the risk means to and whether it is acceptable for stakeholders.

Evaulating significance and acceptability

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7
Q

Define Risk Assessment

A

A process used to determine the

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8
Q

Define abductive reasoning

A

also known as backward reasoning
- to what extent did X cause Y

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9
Q

Define inductive reasoning

A

The process of making general conclusions from a ‘population or process’ from empirical data

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10
Q

Define deductive reasoning

A

Involves making an inference based on widely accepted facts or premises

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11
Q

Define a General Circulation Model (GCM)

A

Uses the primitive equations to compute atmospheric motion simulating large scale fluid dynamics. Can be used for weather or climate modelling

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12
Q

Define Climate Sensitivity

A

to describe to what extent rising levels of greenhouse gases affect the Earth’s temperature

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13
Q

Define Paleo climate Evidence

A

Refers to data scientists use to study past climates. Include:
- tree rings
- ice cores
- ocean and lake sediments

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14
Q

Define climate model ensembles

A

a group of climate model simulations that are used to study climate scenarios and predict future climate projections.

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15
Q

Define Deep Uncertainty

A

Occurs when there is a lack of cohesive views on a topic from stakeholders. There is no knowledge on what outcomes could be or their associated probabilties.

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16
Q

Define Knightian Uncertainty

A

Lack of quantifiable knowledge about some possible uncertainty -> it is impossible to predict or quantify the likelihood

17
Q

Define the 4 Axioms of probability

A
  1. The probability of any event is between 0 and 1
  2. The probability of an exhaustive event is 1
  3. For mutual exclusive events, the probability of A and B occurring is the sum of the P(A) and P(B).
  4. The conditional probability is written as:
    P(B|A) = P(A)xP(B)/P(A)
18
Q

What is a probability density function

A

A function whose value at any given sample in the sample space can be interpreted as providing a relative likelihood that the value of the random variable would be equal to that sample

19
Q

define likelihood function

A

Explains the likelihood of a model producing the same outcome under a different set of parameters.

20
Q

define subjectivist probability

A

Is an expression of a rational agent’s degree of belief about uncertainty propositions.

21
Q

define frequentist theory

A

Frequency with which that event would be observed over an infinite number of repeated experiments. Assumes a repeatable experiment and that it is a material property of the object

22
Q

Probability theory v statistical theory

A

ANSWER

23
Q

Define a bayesian network serial connection

A

A connects to B which connects to C
When hard evidence about B is known, connection between A and C is blocked.

24
Q

Define a bayesian network diverging connection

A

A is parent node of B and C.
Evidence between B and C is blocked if there is hard evidence about A

25
Q

Define a bayesian network converging connection

A

B and C are parents of A.
Any evidence about A results in information transmitted between B and C.

26
Q

Define Type 1 error and Type 2 error

A

Type 1 error is false positive
Type 2 error is false negative

27
Q

Define the tragedy of commons

A

If many people enjoy unfettered access to a finite, valuable resource such as a pasture, they will tend to overuse it and may end up destroying its value altogether.

28
Q

Define Common but Differentiated Responsibilities

A

Principle of international environmental law establishing that all states are responsible for addressing global environmental destruction yet not equally responsible

29
Q

Define climate realism

A

The skill of the method to produce simulations that resemble observed climate, in terms of: magnitude, distributional qualities, spatial and temporal qualities

30
Q

Define physical plausibility of change

A

The credibility we give a method at capturing all aspects of a changing climate under climate change.

31
Q

Define resilience (5 definitions possible)

A
  1. The ability to continue operations or recover a stable state after a major mishap or event
  2. the capacity of an entity to prepare for and recover from shocks and stresses and to adapt and grow from a disruptive experience
  3. the ability of systems to prevent or adapt to changing conditions in order to maintain (control over) a system property
  4. the ability to prepare and plan for, absorb, recover from and more successfully adapt to adverse events
  5. the ability of a system to adjust its function prior to, during or following changes and disturbances so that it can sustain required operations under unexpected and expected conditions
32
Q

Define precariousness

A

how close the current state of the system is to a limit

33
Q

Define latitude

A

Maximum amount of change a system can under before losing its ability to recover

34
Q

Define resistance

A

the ease or difficulty of changing the system

35
Q

Define panarchy

A

because of cross-scale interactions, the resilience of a system at a particular focal
scale will depend on the influences from states and dynamics at scales above and below

36
Q

Define specific resilience

A

The ability of a system to prepare for, recover from and adapt to specific shocks or perturbations. For example, drought resilience.
Specific resilience is easier to analyse

37
Q

Define general resilience

A

Capacity of the system to deal with unidentified shocks

38
Q

Define Aleatory Uncertainty

A

Uncertainty due to a random process

39
Q

Define Epistemic Uncertainty

A

Uncertainty due to lack of knowledge