Understanding Global Warming : Data Analysis and Remote Sensing for Environmental Change #67
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Sounds like you're on the right track, you mentioned a few focus areas: ecosystems, habitats, effects on humans, ice caps melting, and temperature changes, sea level rise. I would suggest trying to focus your topic so that you can find the appropriate datasets. |
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This is very relevant and it sounds like you have several good ideas. I would recommend narrowing down what you are most interested in within the context of global warming. There are impacts to ice melt and impacts to humans, however you seem interested in things like weather variability in the southern US as well. A good place to start could be by picking a location of interest to you and then looking at the climate hazards in this region. If you decide to go with the southern US, you can look at weather patterns and how climate change has impacted them. You can also bring in variables like infrastructure to demonstrate how a region may not have the adequate infrastructure to handle these weather events (like you mentioned, shutting down roads due to freezing weather). |
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What part of the Data Science Lifecycle will be the focus?
Data Analysis and Data Management – The lesson will focus on analyzing climate data, using remote sensing tools (e.g., satellite imagery), and managing climate-related datasets to assess the effects of global warming over time.
Thematic Focus on Global Warming:
Focus on the Impact of Global Warming on Arctic Ice Melt and Sea Level Rise – This lesson will explore how global warming contributes to the melting of polar ice caps, causing sea levels to rise and affecting ecosystems. The analysis will use data from satellites and climate models to study these trends. this link is to where a lot of Global warming is happening https://earthobservatory.nasa.gov/when this climate changes it effects animals habitat and also can effect humans across the world.
What are the key takeaways you hope the user will get?
The user will understand how to:
Access and analyze satellite data to study global warming's effects, such as ice melt and temperature changes.
Utilize climate models and remote sensing data to visualize environmental changes over time.
Understand the connection between data analysis and real-world consequences, such as sea level rise and changing ecosystems. in todays world we have experience a climate change with different places in the world have changed for example: there has been a lot place like Texas, Atlanta, and other place that have experience snow. in these current places they would shut down the roads due to not have all of the resources to prepare for snow or freezing weather.
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