This data repository is associated with the paper: Morris,J., J. Reilly, S. Paltsev, A. Sokolov and K. Cox (2022): Representing socio-economic uncertainty in human system models. Earth's Future, In press
The better the model, the more features of the problem it explains. However, showing that the model ...
Integrated assessment models (IAMs) play a major role in the science and policy of climate change. S...
How do we know how much we know? Quantifying uncertainty associated with our modelling work is the o...
This data repository is associated with the paper: Morris,J., J. Reilly, S. Paltsev, A. Sokolov and ...
Modeling is essential to characterize and explore complex societal and environmental issues in syste...
Recent involvement in designing and developing a simulation model to allow interaction between bioph...
In areas from medicine to climate change to economics, we are faced with huge challenges and a need ...
There are many sources of uncertainty in scenarios and models of socio-ecological systems, and under...
Ongoing global changes bring fundamentally new scientific problems requiring new concepts and tools....
Abstract: Uncertainty about the future constitutes the most difficult, but also by far the most impo...
Non-technical summary Models are increasingly used to inform the transformation of human–Eart...
Uncertainty predictions for the predictions shown in Fig 10. The base map is public domain and is av...
The emerging field of Earth system science integrates strongly disciplinary sciences with a multitud...
This data repository is created by the MIT Joint Program on the Science and Policy of Global Change ...
Modeling is a crucial approach for understanding the past and exploring the future of coupled human-...
The better the model, the more features of the problem it explains. However, showing that the model ...
Integrated assessment models (IAMs) play a major role in the science and policy of climate change. S...
How do we know how much we know? Quantifying uncertainty associated with our modelling work is the o...
This data repository is associated with the paper: Morris,J., J. Reilly, S. Paltsev, A. Sokolov and ...
Modeling is essential to characterize and explore complex societal and environmental issues in syste...
Recent involvement in designing and developing a simulation model to allow interaction between bioph...
In areas from medicine to climate change to economics, we are faced with huge challenges and a need ...
There are many sources of uncertainty in scenarios and models of socio-ecological systems, and under...
Ongoing global changes bring fundamentally new scientific problems requiring new concepts and tools....
Abstract: Uncertainty about the future constitutes the most difficult, but also by far the most impo...
Non-technical summary Models are increasingly used to inform the transformation of human–Eart...
Uncertainty predictions for the predictions shown in Fig 10. The base map is public domain and is av...
The emerging field of Earth system science integrates strongly disciplinary sciences with a multitud...
This data repository is created by the MIT Joint Program on the Science and Policy of Global Change ...
Modeling is a crucial approach for understanding the past and exploring the future of coupled human-...
The better the model, the more features of the problem it explains. However, showing that the model ...
Integrated assessment models (IAMs) play a major role in the science and policy of climate change. S...
How do we know how much we know? Quantifying uncertainty associated with our modelling work is the o...
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