Summary of Matthew E. Kahn's Adapting to Climate Change

Par : Everest Media
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  • FormatePub
  • ISBN8822515116
  • EAN9798822515116
  • Date de parution19/05/2022
  • Protection num.Digital Watermarking
  • Taille1 Mo
  • Infos supplémentairesepub
  • ÉditeurA PRECISER

Résumé

Please note: This is a companion version & not the original book. Sample Book Insights: #1 We are uncertain about how climate change will affect our future quality of life. Few of us are good at predicting the future. Future events such as which team will win the Super Bowl in the year 2030 are random variables today. #2 As computer power and climate science continue to improve, short-term weather forecasts are becoming more accurate.
As these climate risk modelers generate location-specific predictions, how will the public judge the quality of their projections. #3 The challenge of predicting future climate risks is that it depends on how many people live on earth for each year out to the year 2100, as well as what their average per capita income is. #4 Climate science today is still grappling with how to incorporate their uncertainty about key parameters into the climate models they create.
They want to expand our imaginations about future scenarios.
Please note: This is a companion version & not the original book. Sample Book Insights: #1 We are uncertain about how climate change will affect our future quality of life. Few of us are good at predicting the future. Future events such as which team will win the Super Bowl in the year 2030 are random variables today. #2 As computer power and climate science continue to improve, short-term weather forecasts are becoming more accurate.
As these climate risk modelers generate location-specific predictions, how will the public judge the quality of their projections. #3 The challenge of predicting future climate risks is that it depends on how many people live on earth for each year out to the year 2100, as well as what their average per capita income is. #4 Climate science today is still grappling with how to incorporate their uncertainty about key parameters into the climate models they create.
They want to expand our imaginations about future scenarios.