Weather Forecasting Concepts and Techniques

Weather Forecasting Concepts and Techniques

Assessment

Interactive Video

Created by

Ethan Morris

Mathematics, Physics, Science

9th - 12th Grade

2 plays

Medium

The video tutorial explores the evolution of weather forecasting over the past 28 years, highlighting the transition from paper-based forecasts to advanced computer models. Joe Sienkiewicz and Dr. William Lapenta discuss the use of weather sensors and ensemble forecasting, emphasizing the importance of predictability and accuracy in weather models. The concept of spaghetti plots is introduced to illustrate forecast certainty and variability.

Read more

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How did weather forecasting information primarily arrive 28 years ago?

In the form of paper

Using mobile apps

Via satellite data

Through digital models

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is one of the key components of modern weather forecasting?

Radio signals

Ancient maps

Weather sensors

Astrological charts

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is the atmosphere described in terms of modeling?

As a solid

As a gas

As a fluid

As a plasma

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary challenge in weather prediction according to Dr. William Lapenta?

Lack of data

Insufficient funding

Too many variables

Outdated technology

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What technique does NOAA use to improve the accuracy of weather models?

Manual calculations

Ensemble forecasting

Astrological predictions

Single model runs

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is an ensemble in weather forecasting?

A forecasting software

A type of weather sensor

A group of possible outcomes

A single prediction

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a spaghetti plot represent in weather forecasting?

A collection of model runs

A single weather model

A type of weather sensor

A weather prediction software

8.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What indicates a high level of predictability in a spaghetti plot?

No lines at all

Randomly scattered lines

Lines close together

Wide spread of lines

9.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens to the solutions in a spaghetti plot as time progresses?

They become more certain

They disappear

They remain the same

They diverge

10.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What can a slight difference in initial conditions lead to in weather forecasting?

No change in forecast

A huge change in forecast

A complete halt

A minor adjustment

Explore all questions with a free account

or continue with
Microsoft
Apple
Others
By signing up, you agree to our Terms of Service & Privacy Policy
Already have an account?