Exploring Weather Patterns in Amplify Science

Mr. Wiggins introduces a science lesson on weather patterns, focusing on evaluating the reliability of data sources. Students are guided through a warm-up activity comparing two sources of bird data, emphasizing the importance of peer-reviewed scientific journals. The lesson progresses to analyzing storm data using evidence cards, where students assess the reliability of different sources. Homework involves reading and evaluating sources related to a California flood and understanding weather prediction tools.

What is the main focus of today's lesson?

• Science

• Mathematics

• History

• Geography

Which source is considered more reliable for bird data?

• A social media post

• A news article

• An article in a science journal

• A blog written by a hiking club

Why is the article in the science journal considered more reliable?

• It undergoes peer review

• It has colorful pictures

• It is published online

• It is written by amateurs

What does the term 'source' refer to in this context?

• A type of bird

• The origin of information

• A weather pattern

• A scientific tool

What should you do with the storm evidence cards?

• Evaluate and sort them by reliability

• Ignore them

• Sort them by color

• Throw them away

Which source is likely more reliable: National Weather Service or a grade six classroom blog?

• National Weather Service

• Neither is reliable

• Both are equally reliable

• Grade six classroom blog

What should you focus on when analyzing storm data?

• The names of the storms

• The location of the storms

• The color of the storm

• The commonalities in big storms and energy transfer

What happens to an air parcel as it rises in the atmosphere?

• It loses energy

• It stays the same

• It disappears

• It gains energy

What is one of the homework tasks?

• Create a weather forecast video

• Draw a weather map

• Read and annotate an article on weather prediction

• Write a poem

Why might meteorologists' weather predictions sometimes be wrong?

• They use outdated tools

• They guess the weather

• They don't study enough

• Weather is unpredictable