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Institute of Computing for Climate Science Summer School 2022 - Programme |
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During the week, you can book in a session with one of the RSE teams for advice, or to discuss ongoing projects.
All activities, dinners, and accommodation are free!
A few details are still being firmed-up, but the below schedule gives a good indication of the structure and timing of everything.
Start | End | Event |
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12:00 | 13:30 | Registration and welcome lunch with posters |
13:30 | 14:00 | Welcome and Introduction, ICCS directors and RSEs |
14:00 | 15:00 | Opening keynote - Bringing Scale and Trust to Carbon Credits Through Computer Science, S. KeshavCarbon credits--especially those derived from nature-based solutions such as reforestation or averted deforestation--are deservedly viewed as being untrustworthy and their use by airlines and oil companies a barely-concealed form of greenwashing. In this talk, I will present a solution to these issues that leverages advances in earth observation, AI, cloud storage, and blockchain. This solution is being prototyped by the Cambridge Center for Carbon Credits (https://4c.cst.cam.ac.uk ) and I will discuss the current status and our vision for the future. |
15:00 | 15:30 | Tea break |
15:30 | 16:20 | Science talk: - DataWave - Aditi Sheshadri, Stanford University |
16:20 | 17:00 | Short talks 1 |
* ML-based emulators of sea-ice models - Charlotte Durand | ||
17:15 | 18:00 | Carriages for welcome dinner |
18:00 | - | Drinks and welcome dinner at Madingley Hall |
The walk from Jesus College to the CMS takes about 25 minutes. There will be a mini-bus taxi available leaving from Jesus College at 08:30. Those wishing to walk can join Dominic at 08:25 at the Porter's lodge to walk over, going a very scenic route through the old colleges and past the library.
Start | End | Event |
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09:00 | 10:30 | Workshop: Using Git and GitHub effectively , Dominic Orchard |
10:30 | 11:00 | Tea |
11:00 | 12:30 | Workshop: Testing with Chris Edsall |
12:30 | 13:30 | Lunch |
13:30 | 14:20 | Science talk: SASIP - Multi-scale sea ice and ocean modeling. Why and why now?, Chris HorvatSignificant changes to Earth's climate are most prominent in the polar regions --- especially in the Arctic, where surface temperatures have risen by up to 3x the global mean. In turn, the decline of Arctic sea ice, land ice, and permafrost has ushered in a new status quo for local food webs, peoples, and climate. New under-ice ecosystems and chemical exchange, alterations to transportation and ways of living, and disrupted atmospheric and oceanic variability are all features of the emergent "New Arctic." In spite (perhaps because) of this, climate models have repeatedly failed to capture these changes, so doubts loom over whether forecasts of Arctic and Antarctic change can be relied upon in the future. Here I'll discuss several newly observed features of the Arctic coupled system and how many are driven by a similar quality: the fragmented and fractal nature of the Arctic sea ice cover, which contemporary modeling frameworks largely ignore. I'll discuss efforts through the Scale Aware Sea Ice Project to observe, diagnose and rectify problems associated with the incorrect treatment of Arctic sea ice. These are led by (1) improved resolved-scale modeling of fragmented sea ice through the neXtSIM sea ice model, (2) new scale-aware parameterizations of ocean turbulence, waves, and air-sea exchange that drive polar change in climate models, and (3) new observations of sea ice and ocean variability for assimilating into cutting-edge forecast models. |
14:20 | 15:00 | Workshop: Bridging Fortran and Python for ML with Athena Elafrou and Simon Clifford |
15:00 | 15:30 | Tea break |
15:30 | 17:00 | Invited talk on new frontiers in computational modelling |
17:00 | 19:00 | Drinks reception (open to local interested parties, e.g. research groups, with short talks to advertise VESRI work to wider community) |
Start | End | Event |
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09:00 | 10:30 | Workshop: CI and GitHub actions Ben Orchard |
10:30 | 11:00 | Tea |
11:00 | 11:30 | Science talk: LEMONTREE - Relationships between resprouting and fire regimes, Yicheng Shen Resprouting is a resilience trait that allows individuals to regenerate rapidly following fire. It has profound effects on the speed of post-fire ecosystem recovery and therefore on water- and energy-exchanges with the atmosphere and the carbon cycle. However, the ability to resprout requires investing in carbon storage. Balancing the benefits of rapid recovery of photosynthesis against the costs of carbon storage implies that resprouting is an optimal behaviour in environments where fire is neither too frequent nor too infrequent. Although there is anecdotal support for this assertion, there has been little quantitative investigation of the types of fire regime where resprouting is an optimal strategy. In this study, we use data on the abundance of woody species in Europe and Australia derived from the sPlotOpen database combined with information on whether the species present can resprout or not, derived from regional and global plant trait databases and field information, to examine how changes in the abundance of resprouting species varies with fire return interval and with fire intensity. We show that the proportion of resprouting species decreases as fire return intervals increase, while the abundance of resprouters is maximal at intermediate levels of fire intensity. This work suggests that it should be possible to model the occurrence and abundance of resprouting using an eco-evolutionary optimality approach based on balancing the costs and benefits of resprouting under different fire regimes. |
11:30 | 12:30 | Science talk: Clima - Exploring parallel programming in Julia Valentin ChuravyParallel programming is required to solve large scale computational models in climate science. In this session we will explore the fundamentals of parallel programming with MPI and GPU, as well as performance engineering in Julia. The goal is to provide an intuition of what approaches for parallelism are out there and how one could apply them in their own work. We will use the Julia programming language to explore these concepts, but no prior knowledge of it is required. |
12:30 | 13:30 | Lunch |
13:30 | 15:00 | Workshop: Pairing and code review, Ben Orchard and Dominic Orchard |
16:00 | 17:30 | Punting outing |
18:00 | 18:30 | Walking tour of Jesus College with Dominic |
19:00 | 22:00 | Banquet at Sidney Sussex College |
Start | End | Event |
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07:00 | - | Optional 5k guided run along the river in Cambridge, starting from Jesus College. 25 minute pace with Colm, 35 minute pace with Dominic, and a leisurely 45+ minute pace with Marla for non-runngers. |
09:00 | 10:30 | Workshop: Training ML models, Will Handley |
10:30 | 11:00 | Tea |
11:00 | 11:30 | Workshop: Questions and followup to Training ML models, Will Handley |
11:30 | 12:30 | Discussion: Future of ML and Deep Learning in Earth Systems modelling |
12:30 | 13:30 | Lunch |
13:30 | 14:10 | Short talks 2 |
14:10 | 15:00 | Science talk: M2LInES: Software and Infrastructure for Data-Intensive Climate Science, Ryan Abernathey |
15:00 | 15:30 | Tea |
15:30 | 17:00 | Hackathon pitches and introduction |
17:00 | 18:00 | Refreshments and networking for Hackathon |
Start | End | Event |
---|---|---|
09:00 | 10:30 | Hackathon group work |
10:30 | 11:00 | Tea |
11:00 | 12:30 | Hackathon group work |
12:30 | 13:30 | Lunch |
13:30 | 15:00 | Hackathon group work and preparing short presentation |
15:00 | 15:30 | Tea |
15:30 | 16:30 | Group presentations |
16:30 | 16:45 | Short break |
16:45 | 17:00 | Prize giving |
17:00 | 17:15 | Closing remarks |
17:15 | 19:00 | Pizza and drinks |