Responding to complexity: Modelling and organising climate data in CMIP6: Dr Jeremy Walton
1.8 هزار بار بازدید -
6 سال پیش
-
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You can view the full event here: Data Sciences for Climate and Environ...
Dr Jeremy Walton joined the NERC-Met Office UKESM core group in 2014 as Scientific Systems Manager and is the Lead Computational Scientist for the UK Earth System Model (UKESM)
About the event
Collectively, we are modelling and monitoring our planet better than we have ever done in our history, as a result of sustained efforts from the climate modelling community and space agencies and the private sector worldwide. Climate and weather models can now be run at finer spatial resolutions (10km or better), therefore enabling more realistic simulations of smaller and smaller scale processes (i.e. tropical cyclones in the atmosphere or eddies in the ocean) that can have severe impacts on our planet.
At the same time there is a rapid growth in the number of satellites orbiting the Earth (221 launched in 2015, around 5000 in total) with a significant fraction of these satellites dedicated to Earth Observation using a large variety of sensors working at different electromagnetic frequencies (optical, radar, infrared, etc.). Our ability to store, process and share efficiently the vast amounts of data that are produced (~Pb yearly) by the modelling and remote sensing communities is a pre-requisite for the good functioning of these often publicly funded large programmes.
In this one-day workshop our speakers will present on how the new tools developed in data sciences can be applied to questions relating to climate and the environment to help us address the great challenges that our society is facing in a rapidly changing planet. Our event will be structured around five keynote speakers highlighting five separate topics described below and followed by a panel dialogue between our experts and the audience on the topic of Data Sciences for the Climate and the Environment.
Dr Jeremy Walton joined the NERC-Met Office UKESM core group in 2014 as Scientific Systems Manager and is the Lead Computational Scientist for the UK Earth System Model (UKESM)
About the event
Collectively, we are modelling and monitoring our planet better than we have ever done in our history, as a result of sustained efforts from the climate modelling community and space agencies and the private sector worldwide. Climate and weather models can now be run at finer spatial resolutions (10km or better), therefore enabling more realistic simulations of smaller and smaller scale processes (i.e. tropical cyclones in the atmosphere or eddies in the ocean) that can have severe impacts on our planet.
At the same time there is a rapid growth in the number of satellites orbiting the Earth (221 launched in 2015, around 5000 in total) with a significant fraction of these satellites dedicated to Earth Observation using a large variety of sensors working at different electromagnetic frequencies (optical, radar, infrared, etc.). Our ability to store, process and share efficiently the vast amounts of data that are produced (~Pb yearly) by the modelling and remote sensing communities is a pre-requisite for the good functioning of these often publicly funded large programmes.
In this one-day workshop our speakers will present on how the new tools developed in data sciences can be applied to questions relating to climate and the environment to help us address the great challenges that our society is facing in a rapidly changing planet. Our event will be structured around five keynote speakers highlighting five separate topics described below and followed by a panel dialogue between our experts and the audience on the topic of Data Sciences for the Climate and the Environment.
6 سال پیش
در تاریخ 1397/01/08 منتشر شده
است.
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