Chapter 2: the scientific methods Flashcards

1
Q

The scientific method

A

that method used by scientists to

  • study a scientific problem or
  • to answer a scientific question,
  • draw conclusions, and
  • publish results
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2
Q

The scientific method involves at least the following steps:

A
  1. define a problem
  2. explain problem
  3. predict based on explanation
  4. Perform tests or experiments to see if the explanation is valid
  5. Communication; publication or presentation of results
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3
Q

Scientific research

A

is the most important way to determine

  • the causes,
  • trends, and
  • possible solutions to climate change

if it is determined that climate change is heading in the wrong direction and will need proper action.

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4
Q

The scientific method may begin with

A
  • an idea before any information is collected.

It may be the idea that something may exist which has not been thought of before; an original idea.

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5
Q

After an idea is defined or formulated

A

the scientist begins to

  • collect data, information, or
  • to test, experiment, and make observations.
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6
Q

hypothesis or theory

A

The collection of data may result in an original idea and this idea

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7
Q

Hypothesis

A

a formal, specific statement of some unproven assumption that tentatively explains certain facts or phenomenon.

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8
Q

Theory

A

when the hypothesis has been tested with considerable evidence, it becomes a theory.

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9
Q

Hypotheses and theories are usually presented at

A

professional scientific meetings, published in peer‐reviewed scientific journals, and discussed with colleagues.

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10
Q

peer‐review process

A
  • This process allows the scientist to receive feedback from peers
    • Meetings, journals, and discussions
  • and to refine their ideas or to change them
    • Meetings, journals, and discussions provide:
      • new ideas or
      • information to the scientist

Then the theory is revised if necessary.

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11
Q

Designing Experiments to conduct research can work nicely if

A

we have a simple little system

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12
Q

Designing Experiments to conduct research can work nicely if we have a simple little system, then we can

A

easily create hypotheses, test them, and make conclusions.

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13
Q

earth system

A

the atmosphere, the oceans, and the ice sheets etc., form a huge, interconnected system

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14
Q

why is it necessary to conduct a measure of critical inductive research

A

the atmosphere, the oceans, and the ice sheets etc., form a huge, interconnected system (known as earth system) with numerous complex feedbacks. We cannot perturb this system to observe what happens

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15
Q

inductive research

A

building a new theory based on observations

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16
Q

It is therefore necessary to conduct a measure of critical inductive research (building a new theory based on observations). We must

A

make observations of the past and present, analyse trends and identify anomalies.

17
Q

Inductive Research

A

In this procedure “observation” comes first. The hypothesis and then the theory arise from the observations.

  • The validity of the theory depends on its modification from future observations.
18
Q

Inductive reasoning goes like this:

A

Gravity acts on you and I, and paperclips, and hand grenades. Therefore, “gravity acts on all objects”.

19
Q

inductive reasoning graph

A
20
Q

deductive reasoning graph

A
21
Q

Deductive Research

A
  • begins with a “proposed theory” and
  • the investigation consists of an attempt to find observations and
  • make experiments which might confirm the theory.

Deductive reasoning sounds something like this: “Gravity acts on all objects”. Therefore, gravity acts on you and I, and paperclips, and hand grenades.

22
Q

Inductive Approach to Climate Change

A

The temperatures are rising, sea is rising, ice is melting, ozone layer is dissipating. Therefore, “the climate is changing”

23
Q

Primary and Secondary Data

A
  • Primary Data –
    • Data generated by the investigator.
    • It includes data
      • collected by the investigator using instruments in the field,
      • from laboratory experiments,
      • field investigations or
      • questionnaires etc.
  • Secondary Data –
    • Data used by researchers after being
      • collected,
      • quality controlled, and
      • compiled elsewhere, usually in digital format.
24
Q

Climate Data Types:

A
  • Instrumental Measurements (observed data)
  • Reanalysis Climate Data
  • Downscaled Climate Data
  • Proxy Climate Data
25
Q

Instrumental Measurements (observed data)

A
  • best standard,
  • aren’t enough of them for truly satisfactory science.
    • Large areas of the world have poor data coverage for the pre‐satellite era.
    • The same is true for some ESSENTIAL DATA:
      • precipitation,
      • air pressure,
      • winds,
      • humidity and
      • sea ice
  • For example, Observed data on global scales are constantly monitored to :
    • update and
    • assess temperature (and other variables) trends in real time.
26
Q

Reanalysis Climate Data

A

an analysis performed with a fixed NWP model and data assimilation method that assimilates quality‐controlled observational data over an

  • extended time period, (several decades), to create a long‐period climate record.
  • covers the entire globe (Earth’s surface to above the stratosphere)
27
Q

Climate reanalysis can provide

A

a consistent description of the atmosphere over an extended time period

28
Q

Reanalysis products are used extensively in

A

climate research and services, including:

  • monitoring and comparing current climate with those of the past,
  • identifying the causes of climate variations and change, and
  • preparing climate predictions.
29
Q

Reanalysis Climate Data graph

A
30
Q

Downscaled Climate Data

A

term used to describe the various methods used to translate the climate projections from coarse resolution GCMs to finer resolutions deemed more useful for assessing impacts

31
Q

Downscaled Climate Data importance

A

The climate change information required for many impact studies is of a spatial scale much finer than that provided by GCM or regional climate models (RCMs).

• However, many important applications require the equivalent of point climate observations and

  • are highly sensitive to fine‐scale climate variations that are
    • parameterized in coarse‐scale models
32
Q

Downscaled climate data graph

A
33
Q

Proxy Climate Data

A

To investigate climate variations for periods when no instrumental data are available, we need to extract climate information from archives in the nature

34
Q

Natural archives are for example

A
  • tree rings,
  • lake sediments,
  • ice cores and
  • ocean sediments on the continental shelves.
35
Q

Natural archives contain

A

various indirect information of past climate variations, which are called climate proxy data

  • records taken from proxy sources extend climate understanding beyond the 140 year instrumental record
  • proxy data cant show exactly how climate varied in the past,
    • can give reasonably good approximations.