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Mathematics for Climate Network


12th December 2016
In this Newsletter:

Workshop: Next Generation HPC architectures for studying climate variability | Workshop: The influence of weather and climate variability on water resources management | C-CASCADES - Carbon Cascades from Land to Ocean in the Anthropocene | Adaptive Meshes for Global Atmospheric Modelling | CliMathNet Survey | Subscription Details

Workshop: Next Generation HPC architectures for studying climate variability (Back to Top)

Date: 20th - 22nd March 2017

Location: Exeter

Expressions of interest: If you are interested to participate in this workshop, please complete and submit the form by 15th January 2017: https://docs.google.com/forms/d/e/1FAIpQLSdJuk7u2-JIaO1e0NHb_4BE1BCCfRk-XPQUOpqPMy10iv7oHw/viewform

Aim:
The purpose of this meeting is to imagine and build a roadmap for taking advantage of next-generation HPC computer architectures for studying climate variability. This is thought to be a serious issue since most parallelisation strategies used in state-of-the-art climate models have the following issues: 1) the number of cores is nearly optimal for today’s grid resolutions – adding more compute cores no longer decreases the time-to-solution and 2) increases in grid resolution require longer simulation times due to the CFL criteria. Therefore, current climate models will have to be retooled to improve both numerical methods and compute/software infrastructure to make use of more parallelism.

At the present moment, most climate models will scale well on machines thought to be suitable contenders for ARCHER 2, but beyond that less is known both about the possible architectures and strategies for ‘going beyond the strong scaling limit’. Some areas of discussion include:

1. What sort of novel numerical algorithms might be developed (and applied to environmental modelling) that fully exploit emerging architectures, and what are the challenges to numerical analysts from these algorithms?

2. While the longer-term processes of item 1 are ongoing throughout the next decade, what can we do to make best use of these architectures? For example, should we concentrate on more ensemble runs, more statistics/machine learning, or diverse model runs at the same time? Are there new science questions that can be asked that can have an impact on UK and international science?

Follow-on funding: This is a workshop organised by the EPSRC network ReCoVER www.recoverlwec.org. The network will offer participants the opportunity to apply for a feasibility funding project of up to £25k to follow up ideas from the workshop.


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Workshop: The influence of weather and climate variability on water resources management (Back to Top)

When: 23rd - 24th January 2017
Where: The Rougemont Hotel, Exeter.

*Final Call for Expressions of Interest*

This is a joint ReCoVER (www.recoverlwec.org/) and BRIM (Building Resilience into Risk Management, http://www.lboro.ac.uk/research/systems-net/brimnetwork/) meeting.

The aim of the workshop is to explore how weather/climate variability will shape water resources management in the long term and identify themes for research that could help develop management strategies to better cope with the variability in means and extremes. For example, we will explore some of the challenges that arise from:
• Understanding weather/climate variability and climatic risk on water resources management.
• Relations between weather variability and fluctuations in water supply capacity and water demand.
• Longer-term challenges of climate change on meeting water demand.
• Developing and using climate forecasts for water infrastructure planning and management.
• Developing resilient water supply to weather/climate variability.

To express your interest to attend, please visit this page: https://docs.google.com/forms/d/e/1FAIpQLSceZx6OUveuLW_KvggHhOfgPZbISBJQ_RGtbXBl8pw5vozSyw/viewform?c=0&w=1. The deadline for expressions of interest is 19th December 2016


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C-CASCADES - Carbon Cascades from Land to Ocean in the Anthropocene (Back to Top)

Mini Conference 2 – From land to the ocean: processes and budgets
Dates: 24 to 26 January 2017
Location: ETZ Zurich, Zurich, Switzerland

Dear Postgraduate Research student,

C-CASCADES - Carbon Cascades from Land to Ocean in the Anthropocene - is a European Union Horizon 2020 Marie Curie funded project which aims to produce a new generation of young scientists trained to investigate the role of the carbon cycle in regulating Earth’s climate.

Most training opportunities are open to other young researchers, such as yourself, through application by submitting a motivation letter (up to 1 page) and a CV (up to 2 pages). The event itself is free to attend although any other expenses will be supported by the applicant.

The next training opportunity is:

Mini Conference 2 – From land to the ocean: processes and budgets
Dates: 24 to 26 January 2017
Location: ETZ Zurich, Zurich, Switzerland

The main objective of this C-CASCADES Mini Conference is to make a substantial step forward in our synthetic and quantitative understanding of the transport and transformation of organic carbon from the land through the aquatic continuum into the ocean. We thereby focus on the Arctic and Atlantic basins, but covering systems ranging from all latitudes.

This workshop is meant to initiate a process that leads to a series of review papers on this topic, covering all aspects from processes to models, always with a view toward the quantitative.

Structurally, the mini-conference consists of 3 parts:
1. input talks by a range of experts (6x30’ min talks);
2. mini-talks (pecha kucha style) and poster session; and
3. breakout groups with intense discussions, i.e., where we plan to work specifically toward the specific goals.

Participants will act as rapporteurs in the individual breakout sessions, and will use this material together with the input from the talks to write a critical summary of the outcomes of the workshop.

Deadline for applications is 16 December 2016.

Please read the Mini Conference 2 event description (https://drive.google.com/file/d/0B_b4YYfZTGGfbTgxRUR0N3IyRzA/view) for more information about this training event, including application, deadline and contact details.

Please check the C-CASCADES website for additional project information, including events, news and outputs.

Kind regards,

Pierre Friedlingstein and Leo Rodrigues


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Adaptive Meshes for Global Atmospheric Modelling (Back to Top)

A post-doctoral research assistant at the University of Reading is sought to work on mesh generation using optimal transport techniques and atmospheric modelling on r-adaptive meshes. This is part of the NERC funded project “Moving meshes for Global Atmospheric Modelling” joint with the University of Bath (Prof Chris Budd, Mathamatics) and Imperial College London (Dr Colin Cotter, Mathematics). We are developing novel mathematical techniques involving optimal transport and solving partial differential equations using an advanced C++ library (OpenFOAM). The use of adaptive meshes could enable more accurate and efficient weather prediction models and predictions of the regional impacts of climate change.

Details:

Dr Hilary Weller
Department of Meteorology
University of Reading.
Salary (full time): £29,301 to £38,183K pa depending on experience
Fixed term: 18-24 months depending on salary
Application deadline: 31 January 2017
Interview date: 3 March 2017
Expected start date: 1 April 2017

Application details at https://jobs.reading.ac.uk/ and search for meteorology


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CliMathNet Survey (Back to Top)

CliMathNet was set up with the support of EPSRC in 2013 and has support to continue running until 2018 via the EPSRC support of ReCoVER.

Beyond then, we would like CliMathNet to continue, if it can, to provide ongoing support to those interested in research in the application of and development of mathematics/statistics for climate and weather.

We have set up a survey, that we would appreciate your participation in. The purpose of the survey is to help us decide what aspects of the CliMathNet activities are important to continue so it is possible to plan for this.

You will find the survey here: https://goo.gl/forms/0iZPuTX8NDFTFN9B3

Many thanks, the CliMathNet team.


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