Quantifying uncertainty in socio-economic outcomes can provide insight into the likelihood of future energy and emissions projections, thereby informing multi-sector risk assessment.
Quantifying uncertainty in socio-economic outcomes can provide insight into the likelihood of future energy and emissions projections, thereby informing multi-sector risk assessment.
2021 Global Change Outlook shows how more aggressive policies can sharply reduce climate risk
Joint Program researchers to share findings on the state of global change
Climate sensitivity to changes in atmospheric CO2 may be underestimated in individual climate models
MIT Joint Program researchers to present latest findings at AGU Fall Meeting
Study underscores critical role of region in global climate and land-use change
MIT Joint Program researchers to present advanced modeling approaches at AGU Fall Meeting
MIT report highlights challenges and opportunities for conserving natural resources and stabilizing the climate
Updated estimates will enable evaluation of complex multi-sector, economy/natural resource interactions
Results from the latest version of MESM compare favorably with those produced by more computationally intensive models
Improved MIT Earth System Model an effective tool for analyzing climate risk to energy, water and land resources
Joint Program researchers advocate for improved modeling approach