Backyard Meteorology: The Science of Weather
| Learning Experience | 9.8 |
|---|
explore the science behind weather systems by teaching the observational skills needed to make a forecast without using instruments or computer models.
Introduction
Science of Weather: Learn to forecast the weather just by looking out your window.
About this course
The weather forecasts we see every day are based on an army of meteorological sensing networks and intensive computer modeling. Before the rise of these technologies, predictions were made by methods like discerning cloud formations and wind directions.
This course will explore the science behind weather systems by teaching the observational skills needed to make a forecast without using instruments or computer models. We’ll discuss the physical processes driving weather and the global forces that shape global climate systems. Finally, we will examine the limits of prediction in both human observations and computer models.
Can the flap of a butterfly’s wings in Brazil set off a tornado in Texas? Take this course to find out!
What you will learn from the course on ‘Science of Weather’?
- The role of air, water, and wind in weather systems
- To estimate local wind speed and direction
- How to avoid being struck by lightning
- To identify cloud types and features
- Describe the attributes of thunderstorms and tornadoes
- How to collect and interpret data and observations to predict the next day’s weather
- The benefits and drawbacks of weather prediction methods
- The butterfly effect and its application to weather systems
Syllabus
Part 1: Science of Weather: Physical Processes in Weather Systems section
- Overview
- Weather Basics
- Heat Transfer
- The Coriolis Effect
- Global Weather Systems
- Weather Observations and the Weather Diary section
Part 2: Science of Weather: Winds, Weather Masses, Clouds, Fronts in the Temperate Zones section
- Overview
- Clouds
- Fronts and Air Masses
Part 3: Science of Weather: Other Weather Systems section
- Overview
- Thunderstorms, Lightning, and Rainbows
- Cyclones
- Derechos
Part 4: Weather Predictions: Linear and Non-Linear Systems section
- Overview
- Predictions: Linear and Non-Linear Systems
- Weather Prediction Assignment Instructions
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Description
Introduction
Science of Weather: Learn to forecast the weather just by looking out your window.
About this course
The weather forecasts we see every day are based on an army of meteorological sensing networks and intensive computer modeling. Before the rise of these technologies, predictions were made by methods like discerning cloud formations and wind directions.
This course will explore the science behind weather systems by teaching the observational skills needed to make a forecast without using instruments or computer models. We’ll discuss the physical processes driving weather and the global forces that shape global climate systems. Finally, we will examine the limits of prediction in both human observations and computer models.
Can the flap of a butterfly’s wings in Brazil set off a tornado in Texas? Take this course to find out!
What you will learn from the course on ‘Science of Weather’?
- The role of air, water, and wind in weather systems
- To estimate local wind speed and direction
- How to avoid being struck by lightning
- To identify cloud types and features
- Describe the attributes of thunderstorms and tornadoes
- How to collect and interpret data and observations to predict the next day’s weather
- The benefits and drawbacks of weather prediction methods
- The butterfly effect and its application to weather systems
Syllabus
Part 1: Science of Weather: Physical Processes in Weather Systems section
- Overview
- Weather Basics
- Heat Transfer
- The Coriolis Effect
- Global Weather Systems
- Weather Observations and the Weather Diary section
Part 2: Science of Weather: Winds, Weather Masses, Clouds, Fronts in the Temperate Zones section
- Overview
- Clouds
- Fronts and Air Masses
Part 3: Science of Weather: Other Weather Systems section
- Overview
- Thunderstorms, Lightning, and Rainbows
- Cyclones
- Derechos
Part 4: Weather Predictions: Linear and Non-Linear Systems section
- Overview
- Predictions: Linear and Non-Linear Systems
- Weather Prediction Assignment Instructions
Note: Your review matters
If you have already done this course, kindly drop your review in our reviews section. It would help others to get useful information and better insight into the course offered.
FAQ
Specification:
- EDX
- Harvard University
- Online Course
- Self-paced
- Beginner
- 1-3 Months
- Free Course (Affordable Certificate)
- English
- Meteorology
Videos: Backyard Meteorology: The Science of Weather
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