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The atmosphere changes on time scales from seconds (or less) through to years. An example of the former are leaves swirling about the ground within a dust-devil, while an example of the latter is the quasibiennial oscillation (QBO) which occurs over the equator high up in the stratosphere. The QBO is seen as a slow meander of winds: from easterly to westerly to easterly over a time scale of about 2.5 years. This 'oscillation' is quite regular and so therefore is predictable out from months through to years. These winds have also been linked with weather events in the high latitude stratosphere during winter, and also with weather regimes in the North Atlantic and Europe. It is this combination of potential predictability and the association with weather which can affect people, businesses and ultimately economies which makes knowing more about these stratospheric winds desirable. However, it has been difficult to get this phenomenon reproduced in global climate models. We know that to get these winds in models one needs a good deal of (vertical) resolution. Perhaps better than 600-800m vertical resolution is needed. In most GCMs with a QBO this is the case, but why? We also know that there needs to be waves sloshing about, either ones that can be 'seen' in the models, or wave effects which are inferred by parameterisations. Get the right mix of waves and you can get a QBO. Get the wrong mix and you don't. Again we do not know entirely why. Furthermore, we also know convection bubbling up over the tropics and the slow migration of air upwards and out to the poles also has a big impact of resolving the QBO. All of these factors need to be constrained in some way to get a QBO. The trouble is that these factors are invariably different in different climate models. It is for this reason that getting a regular QBO in a climate model is so hard. This project is interested in exploring the sensitivity of the QBO to changes in resolution, diffusion and physics processes in lots of climate models and in reanalyses (models used with observations). To achieve this, we are seeking to bring together all the main modelling centres around the world and all the main researchers interested in the QBO to explore more robust ways of modelling this phenomena and looking for commonalities and differences in reanalyses. We hope that by doing this, we may get more modelling centres interested and thereby improve the number of models which can reproduce the QBO. We also hope that we can get a better understanding of those impacts seen in the North-Atlantic and around Europe and these may affect our seasonal predictions. The primary objective of QBOnet is to facilitate major advances in our understanding and modelling of the QBO by galvanizing international collaboration amongst researchers that are actively working on the QBO. Secondary objectives include: (1) Establish the methods and experiments required to most efficiently compare dominant processes involved in maintaining the QBO in different models and how they are modified by resolution, numerical representation and physics parameterisation. (2) Facilitate (1) by way of targeted visits by the PI and researchers with project partners and through a 3-4 day Workshop (3) Setup and promote a shared computing resource for both the QBOi and S-RIP QBO projects on the JASMIN facility

Most of the world's large earthquakes happen on the plate boundary faults at subduction zones where two plates converge (e.g. Sumatra in 2004, 2005, and 2007; Chile in 2010). Because the parts of these faults that move during the earthquake lie underwater, they can also be the source of major tsunami. However, different subduction zones are subject to different sizes of earthquakes, and different patterns of earthquake rupture, so that the hazards vary significantly. In most cases rupture on the plate boundary faults is limited to a zone where the fault lies from ~30-40km up to ~5-15km beneath the seabed, but in some cases the fault rupture is thought to have been much more extensive and potentially to have reached the seabed. In other cases the faults are sometimes seen to move more gradually, without an earthquake. In other cases (e.g., Nankai margin offshore Japan), movement on the main plate boundary fault is affected by faults within the accretionary prism, that forms as sediment is scraped off the downgoing plate, and these faults may slip affecting the size of the tsunami waves generated. A final major problem with knowing these hazards at a given subduction zone is that the biggest earthquakes normally only occur every few hundred years, so that our records of the effects are very incomplete. These different fault behaviours depend on the physical properties of the faults themselves, controlled by the seabed sediments adjacent to the subduction zone, and factors such as the presence of fluids within the fault. One way to determine these properties, and presence of fluids, is to drill into the fault zone and directly take samples or measurements of the rock properties using 'logging' technology; this has been done in several places round the world, but even with the most modern technology (riser drilling), it is only possible in the shallower parts of faults, and generates a set of observations effectively at a single location. Drilling at a number of different places on subduction zones together with associated seismic experiments (that bounce sound waves off structures within the earth) show that these properties are very variable, within a single region, and between regions. This reinforces that the combination of drilling (providing local detailed information) and seismic data (providing regional information) should be the primary method for assessing fault properties and their hazard potential: the technique employed in this project. We aim to better understand the behaviour of subduction zone faults by combining seismic and drilling data from several subduction zones around the world. We have chosen regions which have contrasting thicknesses of sediments, and where known fault activity and type and size of resulting earthquakes vary. We will use the drilling data to increase our ability to interpret the properties and fluid content of the fault zones from seismic data at the same location. Then using the seismic interpretations to extend our knowledge of the fault zones over much broader regions, we will investigate variations both down and along the plate boundary fault. We will use the same methods to investigate the relationship between the main plate boundary fault and smaller faults within the accretionary prism. We will then extend our analysis to regions where seismic data have been collected, but which have not yet been drilled, including margins offshore Sumatra and New Zealand. The results generated by the project will allow drilling on these new margins (Sumatra and New Zealand) to be targeted more effectively, thus obtaining new samples and measurements from the sections of these subduction systems with greatest significance for earthquake generation. Ultimately we will relate the interpretations of the state of the plate boundary faults to the known earthquake behaviour and tsunami history, aiming to improve assessments of the hazards at other locations where the long-term behaviour is not known.

Predicting future climate change is one of the biggest scientific and societal challenges facing humankind. Whist carbon emissions from human activities are the main determinant of future climate change, the response of the earth system is also extremely important. Earth system processes provide 'feedbacks' to climate change, either reinforcing upward trends in greenhouse gas concentrations and temperature (positive feedbacks) or sometimes dampening them (negative feedbacks). A crucial feedback loop is formed by the terrestrial global carbon cycle and the climate. As carbon dioxide concentrations in the atmosphere and temperature rise, carbon fixation by plants increases due to the CO2 fertilisation effect and the lengthening of the growing season at high latitudes (this is a negative feedback). But at the same time, increasing temperatures lead to increased decomposition of the carbon stored in soils and this results in more carbon dioxide being released back to the atmosphere (this is a positive feedback). The balance of these competing processes is especially important for peatlands because they are very large carbon stores. Northern Hemisphere peatlands hold about the same amount of carbon that is stored in all the world's living vegetation including forests, so determining the response of this large carbon store to future climate change is especially critical. One hypothesis is that warming will increase decomposition rates in peatland soils to such an extent that large amounts of carbon will be released in the future. However, the vast majority of peatlands are in relatively cold and wet areas and evidence from past changes in accumulation rates suggest that for these regions, warming may lead to increased productivity that more than compensates for any increase in decay rates, leading to increased carbon sequestration overall. Furthermore, in the northernmost areas of the Arctic, there is potential for further lateral expansion of peatlands, increasing the total area over which peat accumulates. We intend to answer the question of whether changes in accumulation in Arctic peatlands plus the increased spread of peatlands in cold regions will lead to an overall increase in their carbon storage capacity. Our approach will be to use a novel combination of data from the fossil record stored in peatlands together with satellite data to test a global model that simulates changes in both carbon accumulation rates and the extent of peatland vegetation over Arctic regions. If we can demonstrate that the model performs well in simulations of past changes, we can then confidently use it to make projections of future changes in response to warming for several hundred years into the future. We know that fluctuations in Arctic climate over the past 1000 years should have been sufficient to drive changes in peat accumulation rates and lateral spread, so we are focusing our analyses on this period. In particular, we know there were increases in temperature over the last 150-200 years and especially over the last 30-40 years. If our hypothesis that increased temperature leads to increasing accumulation and spread of Arctic peatlands is correct, we expect to see the evidence for this in the fossil record of peat accumulation and spread, and also in satellite data of vegetation change. Our previous work and our new pilot studies show that we can reconstruct accumulation rate changes and also that our proposed remote sensing techniques can detect peatland vegetation increases since the mid-1980s, so we are confident in our methodology. The model will provide estimates of northern peatland carbon storage change for different climate change scenarios over the next century and longer term to the year 2300. If we can show that there is a potential increase or even no change in carbon storage in Arctic peatlands, it will radically change our perception of the role of the Arctic terrestrial carbon store in mediating climate change.

OVERVIEW One of community ecology's few paradigms is that complex habitats tend to contain more species and at higher abundances than simple habitats. Currently, human and natural disturbances are changing the complexity of habitats faster than at any previous time in history. Understanding and predicting the effects of these changes on biodiversity is now of paramount importance. Yet, we have only a crude, correlative understanding of how complexity changes affect biodiversity, predicting that if habitat becomes flatter, species' diversity and abundances decline. Generating accurate predictions requires integration of the geometric and ecological principles that underpin complexity-biodiversity relationships. This project will build the tools to allow us to make process-based predictions about biodiversity change as a function of habitat complexity. It will do so by using mathematical theory, experimental manipulations, and ecological observations to build the mechanistic framework needed to make these predictions. We use a highly complex species rich system, coral reefs, as a case-study to implement and test predictions. This research will produce a general framework for testing complexity-biodiversity relationships globally and across ecosystems. INTELLECTUAL MERIT The major innovation of this research is integrating three disparate research areas-biophysics, 3D surface modelling technology, and ecological theory. This integration will for the first time allow us to quantify the interactions between biodiversity and 3D habitat structure. While the underlying components of this project are very effective on their own, they have until now developed independently of each other and the benefit of combining them to model complexity-biodiversity relationships has only recently been recognized. Despite intense interest in modelling the effects of environmental change, few present-day efforts to do so have a mechanistic basis, and almost all build in some way on the correlative responses of organisms to the environment, thus limiting their generality and predictive power. In contrast, our approach will develop basic theory that scales individual-level habitat associations to ecosystem-level common currencies using geometric principles, novel imaging technologies, ecological theory, rich historical data sets and experimental manipulation. Success in this endeavor will represent a major breakthrough in ecological research and understanding, and provide a much-needed framework for predicting ecosystem responses to changing dimensionality of habitat structure. BROADER IMPACTS This project will train 2 post-docs, 1-2 PhD student and up to 10 undergraduate and other interns on the use of cutting-edge technology to quantify ecological change. Our research will provide a tool for assessing and projecting the impact of ecosystem flattening on biodiversity and ecosystem function, as well as for forecasting the impact of change on our ecosystems and economy. We will maximize the impact of this tool by publishing code on GitHub and producing vignettes which make the theory developed accessible to a broader audience of scientists and practitioners. We will promote these tools online through websites and social media, and will run summer workshops to promote the uptake of this approach to explore scenarios of change and predict ecological consequences of different environmental management actions. The 3D maps generated in this project are particularly effective at communicating ecosystem change to a broad audience. We will create a web interface to visualize these changes and will promote them to schools and through HIMB's outreach program. Finally, we will engage more broadly in the dissemination of the results of our project through a science-art collaborative exhibition, which will explore changing shapes in the natural world.