Climate Models: A Key Tool to make Future Climate Projections
LOCATION
Virtual - Hosted on Zoom
Climate models are based on well-documented physical processes to simulate the transfer of several variables through the climate system. Climate models use mathematical equations to characterize how energy and matter interact in different parts of the ocean, atmosphere, and land. Building and running a climate model is a complex process of identifying and quantifying Earth system processes, representing them with mathematical equations, setting variables to represent initial conditions and subsequent changes in climate forcing, and repeatedly solving the equations using powerful supercomputers. Once a climate model can perform well in hind-casting tests (simulating known climates of the past), its results for simulating future climate are also assumed to be valid. To project climate into the future, the climate forcing is set to change according to a possible future scenario. Scenarios are possible stories about how quickly the human population will grow, how land will be used, how economies will evolve, and the atmospheric conditions (and therefore, climate forcing) that would re-sult from each storyline. This talk will review the basic aspects of climate models and their applications.
Speaker
Dr Massimo Bollasina, University of Edinburgh
Massimo Bollasina is a Reader in Atmospheric Science at the School of GeoSciences, University of Edinburgh. His research focuses on mechanisms of climate change and variability at the regional scale, including the role of anthropogenic aerosols and atmospheric teleconnections, using global climate models and observations. He studied Physics and then worked in Milan, Italy, before moving to the US as a scientist at the University of California, San Diego. He completed a PhD in Atmospheric and Oceanic Sciences at the University of Maryland College Park and conducted cutting-edge research at the NOAA/Geophysical Fluid Dynamic Laboratory, Princeton. He then moved to Edinburgh, first as Lecturer and then as Senior lecturer and finally Reader, where he conducts research, supervises students and postdocs, and collaborates with international research institutes across the world.
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Climate models are based on well-documented physical processes to simulate the transfer of several variables through the climate system. Climate models use mathematical equations to characterize how energy and matter interact in different parts of the ocean, atmosphere, and land. Building and running a climate model is a complex process of identifying and quantifying Earth system processes, representing them with mathematical equations, setting variables to represent initial conditions and subsequent changes in climate forcing, and repeatedly solving the equations using powerful supercomputers. Once a climate model can perform well in hind-casting tests (simulating known climates of the past), its results for simulating future climate are also assumed to be valid. To project climate into the future, the climate forcing is set to change according to a possible future scenario. Scenarios are possible stories about how quickly the human population will grow, how land will be used, how economies will evolve, and the atmospheric conditions (and therefore, climate forcing) that would re-sult from each storyline. This talk will review the basic aspects of climate models and their applications.
Speaker
Dr Massimo Bollasina, University of Edinburgh
Massimo Bollasina is a Reader in Atmospheric Science at the School of GeoSciences, University of Edinburgh. His research focuses on mechanisms of climate change and variability at the regional scale, including the role of anthropogenic aerosols and atmospheric teleconnections, using global climate models and observations. He studied Physics and then worked in Milan, Italy, before moving to the US as a scientist at the University of California, San Diego. He completed a PhD in Atmospheric and Oceanic Sciences at the University of Maryland College Park and conducted cutting-edge research at the NOAA/Geophysical Fluid Dynamic Laboratory, Princeton. He then moved to Edinburgh, first as Lecturer and then as Senior lecturer and finally Reader, where he conducts research, supervises students and postdocs, and collaborates with international research institutes across the world.
Registration
REGISTRATION IS NOW CLOSED
Registration for this event is closed.
If you have any queries with regards to this event or require any further information please contact us at meetings@rmets.org.
We take data privacy seriously. Please read the RMetS privacy policy to find out more.