Destination Earth – High Performance Computing for Weather and Climate
DescriptionThis talk will review the use of HPC in numerical weather prediction, climate monitoring and projection. Starting from the early foundations of modern numerical weather prediction, this talk will describe advances in the field, culminating in the ongoing efforts to create digital replicas of the Earth system such as the European Commission's Destination Earth initiative or NOAA's digital twin for Earth observations. Digital Twins of Earth encapsulate both the latest science and technology advances to provide near-real time information on extremes and climate change adaptation in a wider digital environment, where users can interact, modify, and ultimately create their own tailored information.
Recent work has demonstrated that global, coupled storm-resolving (or km-scale) simulations are feasible and can contribute to building such information systems and are no longer a dream thanks to recent advances in Earth system modeling, supercomputing, and the ongoing adaptation of weather and climate codes for accelerators. Such simulations start to explicitly represent essential climate processes, e.g. detailed inland water and land-use representation, deep convection, and mesoscale ocean eddies, that today need to be fully parameterized even at the highest resolution used in global weather and climate information production. These simulation outputs, combined with novel, data-driven deep learning advances, thus offer a window into the future, with a promise to significantly increase the realism and timeliness of delivery of Earth system information to a broad range of users. Despite the significant compute and data challenges, including both memory intensive and extreme scaling workflows, there is a real prospect to better support global to local warning systems and complement existing climate change mitigation and adaptation efforts.
Recent work has demonstrated that global, coupled storm-resolving (or km-scale) simulations are feasible and can contribute to building such information systems and are no longer a dream thanks to recent advances in Earth system modeling, supercomputing, and the ongoing adaptation of weather and climate codes for accelerators. Such simulations start to explicitly represent essential climate processes, e.g. detailed inland water and land-use representation, deep convection, and mesoscale ocean eddies, that today need to be fully parameterized even at the highest resolution used in global weather and climate information production. These simulation outputs, combined with novel, data-driven deep learning advances, thus offer a window into the future, with a promise to significantly increase the realism and timeliness of delivery of Earth system information to a broad range of users. Despite the significant compute and data challenges, including both memory intensive and extreme scaling workflows, there is a real prospect to better support global to local warning systems and complement existing climate change mitigation and adaptation efforts.
Event Type
Invited Talk
TimeThursday, 17 November 20228:40am - 9:20am CST
LocationDallas Ballroom/Omni Hotel
Recorded
TP
XO/EX