The Antarctic ice sheet is the largest on the planet by a factor 10. It holds enough ice to raise global sea level by ~65 m. Small changes in the balance between losses and gains (the mass balance) can have, therefore, profound implications for sea level, ocean circulation and our understanding of the stability of the ice mass. Local variations in mass balance may be driven by short or long term changes in ice dynamics that may or may not be related to recent climatic change. They may also be due to trends in snowfall. There is now a general consensus that the ice sheet is losing mass but the range of estimates and uncertainties are still, in most cases, larger than the signal. To solve the open question of what the time evolving mass change is, we propose combining satellite observations, climate modelling and physical constraints to solve for the independent and uncorrelated errors that have hampered previous approaches. Sea level rise (SLR) since 1992 has averaged around 3.2 mm/yr, ~ twice the mean for the 20th Century. The cause is uncertain, but it is clear that a significant component is due to increased losses from both Greenland and Antarctica. Recent advances in regional climate modelling and analysis of gravity anomalies from the GRACE satellites have greatly improved our knowledge of both the magnitude and origin of mass losses from Greenland. Unfortunately, this is not the case for Antarctica for a range of reasons. The aim of this project is to address this shortcoming using a similar, but more comprehensive, approach to the one we used to improve our understanding of changes in Greenland. To do this, we must employ additional data and methods because i) the uncertainty in post glacial rebound for the West Antarctic Ice Sheet , in particular, is of a similar magnitude to the signal (unlike Greenland), ii) errors in observed and modelled variables are generally larger because of the paucity of in-situ data sets in, and around, Antarctica, and iii) observations in time and space are poorer for most of the ice sheet and, in particular, the areas showing the greatest change.

This project aims to develop, and to provide a range of mechanisms to support interdisciplinary collaborations that use and develop new mathematics for understanding climate variability and impact on resilience. Focusing on three scientific themes the project will nurture connections between mathematicians, statisticians, environmental scientists, policy makers and end users working in impact areas to help to identify high-risk and high-return research that will develop collaborations in the areas of the themes. We will do this by a range of tools, including a series of managed events (workshops, sandpits, study groups and e-seminars) that will focus on specific problems to end users as well as promoting novel collaborations in the areas of scientific focus. We will provide a mechanism to solicit, evaluate and fund proposals for feasibility studies that work across this area. This will be informed by an expert panel of researchers as well as an advisory panel taken from national and international groups and end-users.

Disruption to the transport network that connects the UK's urban areas - enabling the flows of good and services between them - has significant implications for people's safety and the economy. Recent extreme weather events have exposed the vulnerability of this network to flood damage and challenged emergency services during floods, leading to direct economic impacts, long-term disruption to communities, and cascading disruption to other infrastructure services that rely on the integrity of the transport network. Many of the strategic links have been built without any particular flooding protection criteria, and their frequency of use has outstripped their design specification. A particular problem, and focus of this research, is the vulnerability of bridges. In 2009 the Cumbria region suffered £3m in repair and replacement costs due to the collapse or severe damage of 29 bridges, however the economic and societal costs were significantly larger (e.g. the increased travel time was estimated to cost businesses as much as £2m per week). Understanding the risks associated with the failure or limited serviceability of bridges is a key priority identified in the National Flood Resilience Review and in the Climate Change Risk Assessment. Whilst monitoring and structural analysis can help identify bridges that are susceptible to failure, it is also necessary to understand the implications of their failure on the wider transport network to enable risk-based decision-making and prioritisation of limited funds for maintenance and enhancing national resilience. This fellowship proposal will address this crucial priority, through the development of a novel national, and more detailed regional, assessment model for bridge failures from high river flows. By working with key stakeholders the regional and national model will be co-designed to enable it to be used independently by these organisations to support their decision-making. The work contributes to the LWEC vision by addressing two themes: (1) UK cities system as a system of interconnected cities: (2) environmental risk to networks and understanding of the potential and implications of failure at national level. Moreover, it supports the EPSRC 'Resilient Nation' Prosperity Outcome by delve into robust functioning of complex infrastructures. The fellowship will also provide the springboard to accelerate my academic career and develop an independent research direction. The work will be conducted at Newcastle University, where there is a diverse portfolio of RCUK funded pioneering research on infrastructure and flooding, providing the ideal research environment for this fellowship. Secondments to leading international research institutions will provide a broader perspective and build my network of collaborators.

The surface ocean is home to billions of microscopic plants called phytoplankton which produce organic matter in the surface ocean using sunlight and carbon dioxide. When they die they sink, taking this carbon into the deep ocean, where it is stored on timescales of hundreds to thousands of years, which helps keep our climate the way it is today. The size of the effect they have on our climate is linked to how deep they sink before they dissolve - the deeper they sink, the more carbon is stored. This sinking carbon also provides food to the animals living in the ocean's deep, dark 'twilight zone'. Computer models can help us predict how future changes in greenhouse gas emissions might change this ocean carbon store. Current models however struggle with making these predictions. This is partly because until recently we haven't even been able to answer the basic question 'Is there enough food for all the animals living in the twilight zone?'. But in a breakthrough this year we used new technology and new theory to show that there is indeed enough food. So now we can move on to asking what controls how deep the carbon sinks. There are lots of factors which might affect how deep the material sinks but at the moment we can't be sure which ones are important. In this project we will make oceanographic expeditions to two different places to test how these different factors affect carbon storage in the deep ocean. We will measure the carbon sinking into the twilight zone and the biological processes going on within it. Then we will determine if the systems are balanced - in other words, what goes in, should come out again. We will then write equations linking all the parts of the system together and analyse them to make them more simple. At the same time we will test whether the simple equations are still useful by seeing if they produce good global maps of ocean properties for which we have lots of data. Finally, when we are happy that our new equations are doing a good job we will use them in a computer model to predict the future store of carbon in the ocean.

The Milky Way-Gaia Doctoral Network (MWGaiaDN): Revealing the Milky Way (MW) with Gaia - Excellent science, Extending techniques, Enhancing people skills, Effecting the next revolution in European led astronomy through leadership in astrometric-based science. What: Gaia, ESA's major space mission launched in Dec 2013, is now in its extended mission to map some two billion stars in the MW. It's upcoming data releases , that will provide chemical and physical annotation of the earlier positional releases, present major challenges in terms of complexity and size, hence research training to deliver a full science exploitation is essential, ensuring that Gaia is the `game changer' for astronomy How: Our DN will link major partners responsible for the development of Gaia, to form an effective and unique training network combining the best research training with a range of academic and industrial placements, specialist research and knowledge transfer workshops. It will develop and train a cohort of young researchers through a set of key science projects pushing the Gaia data to its limits. Our DN will train 10 ESRs located across 10 European beneficiaries, benefiting from the participation of 13 associate partners. These include major industry (e.g. AirbusDS, TAS), at the forefront of Space and Information technologies; SME Industry (e.g. DAPCOM, Suil), innovating new technologies for Space and partners leading the development of next generation astrometry missions outside of Europe (NAOJ). Relevance: It will shape the delivery of training in astrometry and the study of the MW across Europe: delivering key insights into the structure and formation of our Galaxy; delivering the roadmap for the next generation of astrometric space telescopes; equipping the ESRs with skills to drive the next innovative steps in this crucial area of space discovery, as well as enabling them to contribute to the future, growth and challenges of the big data industry and commerce. MWGaiaDN