Send the link below via email or IMCopy
Present to your audienceStart remote presentation
- Invited audience members will follow you as you navigate and present
- People invited to a presentation do not need a Prezi account
- This link expires 10 minutes after you close the presentation
- A maximum of 30 users can follow your presentation
- Learn more about this feature in our knowledge base article
Monitoring and Modeling Climate Change
Transcript of Monitoring and Modeling Climate Change
Table of contents
- What is monitoring climate change?
- Climate data from Weather Satellites
- The Earth Observing System (EOS)
- Modeling climates and climates changes
- Limitations and Sources of Uncertainty in Climate Models
Monitoring climate change
Using Radar to gather weather data and climate changes
By: Chee Hong, Dillon and Kieren
Radar data is used to forecast weather and to estimate global average climate factors
The radar sends out microwave pulses that will hit objects such as rain droplets and pulses will reflect back to the radar
The Earth Observing System
Launched in 1997 by Canada, United States and Japan
They combined information to create a long term observation of how atmosphere, oceans, land, and ecosystem changes on Earth.
- Terra - Heat emission and reflection from Earth, cloud cover, and pollution in troposphere.
- Aura - Atmospheric chemistry but focus more on greenhouse gasses
- Aqua - Precipitation, evaporation and water cycle
- QuikSCAT - Speeds and direction of winds near the ocean
Climate Data from weather satellites
- Collecting climate data is mostly done by satellites
- Since 1978, over 100 satellites have been launched
2 Types of Orbiting Satellites
- Orbit same speed as the earth rotates (Used for weather forecasting and global communications)
Polar Orbiting satellites
- move from north and south over the poles. Takes 2 hours to orbit. (Used for earth-mapping and earth observation)
Modeling climates and climate changes
- Recording data is only the first phrase
- Next step is analyzing the data and interpreting data. (auditing the data received)
is big, hard to model the planet
- Scientist use
data to input in to computers
the climate change
Example of modeling:
Computer programs that analyze climate data and predict how climate may change in the future.
Examples of data:
- Global temperature
- Carbon dioxide concentration in the atmosphere
Climate models are used to link data about the atmosphere and oceans together into GCM (General Circulation Models), which are also known as global climate models.
These models represent how water and air interact and move around on planet.
Limitations and Source of Uncertainty in Climate Models
Predictions of climate models are not 100% accurate because of imprecision in data and difficulties in the calculations.
Sophistication of the model
Quality and Quantity of the data
Complexity of the variables
Climate models indicate probabilities, not certainty
Limitations such as:
Climate Forcing Agents
Forcing Agents are anything that alters the Earth’s climate
Greenhouse gasses are the ones that had the greatest impact on the current global warming than any other agent
Dickinson, Tom. On Science 10. Toronto, ON: McGraw-Hill Ryerson, 2009. Print.
Monitoring: Making consistent, long-term series of observation and measurements