Environmental Science in the Big Data Era

This event is organised by Cambridge Big Data and British Antartic Survey.

The aim of this workshop are to bring together domain experts in the fields of climate and data sciences to discuss the key challenges, including reducing uncertainties in future climate change predictions.

Climate observations are generally sparse, inhomogeneous datasets presenting difficulties (e.g., non-Gaussian distributions, the importance of extreme/rare events) not found in other ‘Big Data’ projects. New techniques are urgently required to gain maximum leverage and therefore we propose to bring together the world-leading Big Data and Physical Climate Science communities from across Cambridge to meet this goal.

This workshop is timely as we will soon have access to a new Petabyte-scale climate dataset, the Coupled Model Intercomparison phase 6 (CMIP6). CMIP6 will provide the key data to underpin the next IPCC assessment report (AR6) and is the biggest coordinated effort to model the climate/Earth system to date. It will produce more than 43 thousand years of model simulations, and include an unprecedented number of weather and climate variables for across the globe. The current suite of climate analysis tools have major shortcomings, and are out-of-step with other science and engineering disciplines which are harnessing the power of state-of-the-art Machine Learning technologies.

Attendance is free, however registration is essential.

Information: www.bigdata.cam.ac.uk/events/cambridge-events/environmental-science-in-the-big-data-era

Registration will close on Sunday 29th October 2017.