[NSCC Webinar Series] The Crucial Role of Supercomputing in Weather and Climate Science

Research in weather and climate science plays a crucial role in improving understanding, and building resilience against the impacts of extreme weather events and a changing climate. The mission of the Centre for Climate Research Singapore (CCRS) is to advance scientific understanding of tropical climate variability and change and its associated weather systems affecting Singapore and the wider Southeast Asia region, so that the knowledge and expertise can benefit decision makers and the community. Dr. Barker will begin the talk by providing an overview of the climate challenge, CCRS, and current frontiers of research.

1 October 2020

Zoom

Overview

Research in weather and climate science plays a crucial role in improving understanding, and building resilience against the impacts of extreme weather events and a changing climate. The mission of the Centre for Climate Research Singapore (CCRS) is to advance scientific understanding of tropical climate variability and change and its associated weather systems affecting Singapore and the wider Southeast Asia region, so that the knowledge and expertise can benefit decision makers and the community. Dr. Barker will begin the talk by providing an overview of the climate challenge, CCRS, and current frontiers of research.

 

Since the earliest days of numerical weather prediction (NWP) at the start of the 20th century, where ‘human computers’ were proposed to predict the weather, there has been a close tie between climate and computational science. Dr. Barker will provide a short history of the development of NWP and climate modelling/projections, emphasizing the increased reliance on supercomputers to deliver results as climate models become increasingly complex, and provide products and advice to an expanding range of stakeholders.

 

Climate science places many demands on supercomputers and software engineering: sheer computer power to number-crunch billions of calculations / second to provide timely weather/climate predictions; storage of ‘big data’; cross-platform efficiency; robustness; and reproducibility. Dr. Barker will provide examples of how these challenges have been addressed to date, and end with a forward-look of the future where the increasing complexity, the cloud, machine learning, and the advent of novel HPC architectures will require expanded partnerships between climate, computational and data science communities.

Dr. Dale Barker
Director of Centre for Climate Research Singapore, Meteorological Service Singapore, National Environment Agency (NEA)

As the Director of CCRS, Dr Dale Barker provides strategic direction, oversight of the centre’s weather/climate science activities, and engages with senior stakeholders in the national/international weather/climate community.

Dr. Barker has extensive experience in data assimilation research, use of observations in Numerical Weather Prediction (NWP), and regional climate reanalysis. He led the WRF data assimilation programme at the US National Center for Atmospheric Research (NCAR) in Boulder, Colorado (1999-2009). Between 2010 and 2018 he led the scientific development of the first EU-funded European regional reanalysis. In his previous role before joining CCRS, Dr. Barker was the Associate Director for Weather Science at the Met Office, leading 200 staff working in meteorological R&D and the research-to-operational transition of global/local NWP, ocean/wave forecasting, air quality, and atmospheric dispersion systems.

Dr. Barker is a Fellow of the Royal Astronomical Society (FRAS) and Royal Meteorological Society (FRMetS). He is a visiting professor at Reading University UK, an NCAR affiliate scientist, previous member of WMO/WWRP’s mesoscale weather forecasting WG, and chairs the scientific advisory committee for the new KIAPS Korean NWP system.

Presentation Slides:

 

[NSCC Webinar Series] The Crucial Role of Supercomputing in Weather and Climate Science

 

The recording of the webinar is available on NSCC’s YouTube page here.