Climate Modeling and Analysis: Difference between revisions
Content added Content deleted
Krisrs1128 (talk | contribs) (add image) |
Krisrs1128 (talk | contribs) No edit summary |
||
Line 1: | Line 1: | ||
[[File: |
[[File:Clim prediction.png|thumb|The main avenues through which machine learning can support climate science, as described in <ref>{{Cite journal|title=Tackling Climate Change with Machine Learning|url=https://arxiv.org/pdf/1906.05433.pdf#page=63&zoom=100,109,256}}</ref>.]] |
||
The first global warming prediction was made in 1896, when Arrhenius estimated that burning fossil fuels could eventually release enough CO2 to warm the Earth by 5°C. The fundamental physics underlying those calculations has not changed, but our predictions have become far more detailed and precise. The predominant predictive tools are climate models, known as General Circulation Models (GCMs) or Earth System Models (ESMs). These models inform local and national government decisions<ref>{{Cite book|url=https://www.ipcc.ch/sr15/|title=Global warming of 1.5C. An IPCC special report on the impacts of global warming of 1.5C above |
The first global warming prediction was made in 1896, when Arrhenius estimated that burning fossil fuels could eventually release enough CO2 to warm the Earth by 5°C. The fundamental physics underlying those calculations has not changed, but our predictions have become far more detailed and precise. The predominant predictive tools are climate models, known as General Circulation Models (GCMs) or Earth System Models (ESMs). These models inform local and national government decisions<ref>{{Cite book|url=https://www.ipcc.ch/sr15/|title=Global warming of 1.5C. An IPCC special report on the impacts of global warming of 1.5C above |
||
pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the |
pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the |