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In this paper, we assess the quality of state-of-the-art regional climate information intended to support climate adaptation decision-making. We use the UK Climate Projections 2018 as an example of such information. Their probabilistic, global, and regional land projections exemplify some of the key methodologies that are at the forefront of constructing regional climate information for decision support in adapting to a changing climate. We assess the quality of the evidence and the methodology used to support their statements about future regional climate along six quality dimensions: transparency; theory; independence, number, and comprehensiveness of evidence; and historical empirical adequacy. The assessment produced two major insights. First, a major issue that taints the quality of UKCP18 is the lack of transparency, which is particularly problematic since the information is directed towards non-expert users who would need to develop technical skills to evaluate the quality and epistemic reliability of this information. Second, the probabilistic projections are of lower quality than the global projections because the former lack both transparency and a theory underpinning the method used to produce quantified uncertainty estimates about future climate. The assessment also shows how different dimensions are satisfied depending on the evidence used, the methodology chosen to analyze the evidence, and the type of statements that are constructed in the different strands of UKCP18. This research highlights the importance of knowledge quality assessment of regional climate information that intends to support climate change adaptation decisions. [ABSTRACT FROM AUTHOR]

The global literature on drought and health highlights a variety of health effects for people in developing countries where certain prevailing social, economic and environmental conditions increase their vulnerability especially with climate change. Despite increased focus on climate change, relatively less is known about the health-drought impacts in the developed country context. In the UK, where climate change–related risk of water shortages has been identified as a key area for action, there is need for better understanding of drought-health linkages. This paper assesses people's narratives of drought on health and well-being in the UK using a source-receptor-impact framing. Stakeholder narratives indicate that drought can present perceived health and well-being effects through reduced water quantity, water quality, compromised hygiene and sanitation, food security, and air quality. Heatwave associated with drought was also identified as a source of health effects through heat and wildfire, and drought-related vectors. Drought was viewed as potentially attributing both negative and positive effects for physical and mental health, with emphasis on mental health. Health impacts were often complex and cross-sectoral in nature indicating the need for a management approach across several sectors that targets drought and health in risk assessment and adaptation planning processes. Two recurring themes in the UK narratives were the health consequences of drought for 'at-risk' groups and the need to target them, and that drought in a changing climate presented potential health implications for at-risk groups. [ABSTRACT FROM AUTHOR]

International assessments of evidence on climate change (e.g. Intergovernmental Panel on Climate Change, IPCC) or national climate change risk assessments (e.g. UK Climate Change Risk Assessment, CCRA) do not offer a sufficiently granular perspective on climate impacts to adequately inform governance of resilience to climate risks at the local level. Using an analysis of UK decision-makers managing and responding to heatwaves and flood risks, this paper argues how more robust local evidence is needed to inform decision-making regarding adaptation options for enhancing local resilience. We identify evidence gaps and issues relating to local climate change impacts, including sources and quality of evidence used, adequacy and accessibility of evidence available, ill-communicated evidence and conflicting or misused evidence. A lack of appreciation regarding how scientific evidence and personal judgement can mutually enhance the quality of decision-making underpins all of these gaps. Additionally, we find that the majority of evidence currently used is reductively based upon socio-economic and physical characteristics of climate risks. We argue that a step change is needed in local climate resilience that moves beyond current physical and socio-economic risk characterisation to a more inclusive co-constitution of social and politically defined climate risks at the local scale that are better aligned with the local impacts felt and needs of stakeholders. [ABSTRACT FROM AUTHOR]

Images are ubiquitous in everyday life. They are a key part of the communication process, shaping peoples' attitudes and policy preferences on climate change. Images which have come to dominate visual portrayals of climate change (and conversely, those that are marginalised or excluded) influence how we interact with climate change in our everyday lives. This paper presents the first in-depth, cross-cultural and longitudinal study of climate change visual discourse. It examines over a thousand images associated with articles about climate change in UK and US newspapers between 2001 and 2009, a pivotal decade for climate change engagement. Content, frame and iconographic analyses reveal a remarkably consistent visual discourse in the UK and US newspapers. The longitudinal analysis shows how the visual representation of climate changed mid-decade. Before 2005, a distancing frame was common. Imagery of polar landscapes acted as a visual synecdoche for distant climate risk. After 2005, there was a rapid increase in visual coverage, an increase in use of the contested visual frame, alongside an increase in climate cartoons, protest imagery and visual synecdoches. These synecdoches began to be subverted and parodied, particularly in the right-leaning press. These results illustrate the rise of climate change scepticism during the mid-2000s. This study has implications for public engagement with climate change. It shows that the contested and distancing visual frames are deeply and historically embedded in the meaning-making of climate change. Additionally, it showcases the importance of visual synecdoches, used by newspapers in particular circumstances to engage particular audiences. Knowing and understanding visual use is imperative to enable an evidence-based approach to climate engagement endeavours. [ABSTRACT FROM AUTHOR]

Interest in the impacts of climate change is ever increasing. This is particularly true of the water sector where understanding potential changes in the occurrence of both floods and droughts is important for strategic planning. Climate variability has been shown to have a significant impact on UK climate and accounting for this in future climate change projections is essential to fully anticipate potential future impacts. In this paper a new resampling methodology is developed which includes the variability of both baseline and future precipitation. The resampling methodology is applied to 13 CMIP3 climate models for the 2080s, resulting in an ensemble of monthly precipitation change factors. The change factors are applied to the Eden catchment in eastern Scotland with analysis undertaken for the sensitivity of future river flows to the changes in precipitation. Climate variability is shown to influence the magnitude and direction of change of both precipitation and in turn river flow, which are not apparent without the use of the resampling methodology. The transformation of precipitation changes to river flow changes display a degree of non-linearity due to the catchment's role in buffering the response. The resampling methodology developed in this paper provides a new technique for creating climate change scenarios which incorporate the important issue of climate variability. [ABSTRACT FROM AUTHOR]

The first part of this paper demonstrated the existence of bias in GCM-derived precipitation series, downscaled using either a statistical technique (here the Statistical Downscaling Model) or dynamical method (here high resolution Regional Climate Model HadRM3) propagating to river flow estimated by a lumped hydrological model. This paper uses the same models and methods for a future time horizon (2080s) and analyses how significant these projected changes are compared to baseline natural variability in four British catchments. The UKCIP02 scenarios, which are widely used in the UK for climate change impact, are also considered. Results show that GCMs are the largest source of uncertainty in future flows. Uncertainties from downscaling techniques and emission scenarios are of similar magnitude, and generally smaller than GCM uncertainty. For catchments where hydrological modelling uncertainty is smaller than GCM variability for baseline flow, this uncertainty can be ignored for future projections, but might be significant otherwise. Predicted changes are not always significant compared to baseline variability, less than 50% of projections suggesting a significant change in monthly flow. Insignificant changes could occur due to climate variability alone and thus cannot be attributed to climate change, but are often ignored in climate change studies and could lead to misleading conclusions. Existing systematic bias in reproducing current climate does impact future projections and must, therefore, be considered when interpreting results. Changes in river flow variability, important for water management planning, can be easily assessed from simple resampling techniques applied to both baseline and future time horizons. Assessing future climate and its potential implication for river flows is a key challenge facing water resource planners. This two-part paper demonstrates that uncertainty due to hydrological and climate modelling must and can be accounted for to provide sound, scientifically-based advice to decision makers. [ABSTRACT FROM AUTHOR]

Probabilistic climate data have become available for the first time through the UK Climate Projections 2009, so that the risk of change in tree growth can be quantified. We assessed the drought risk spatially and temporally using drought probabilities calculated from the weather generator data and tree species vulnerabilities using Ecological Site Classification model across Britain. We evaluated the drought impact on the potential yield class of three major tree species ( Picea sitchensis, Pinus sylvestris, and Quercus robur), which cover around 59 % (400,700 ha) of state-managed forests, across the lowlands and uplands. We show that drought impacts result mostly in reduced tree growth over the next 80 years when using B1, A1B, and A1FI IPCC emissions scenarios, but varied spatially. We found a maximum reduction of 94 % but also a maximum increase of 56 % in potential stand yield class in the 2080s from the baseline climate (1961-1990). Furthermore, potential production over the state-managed forests for all three species in the 2080s is estimated to decrease due to drought by 42 % in the lowlands and by 32 % in the uplands in comparison to the baseline climate. Our results reveal that potential tree growth and forest production on the state-managed forests in Britain is likely to reduce, and indicate where and when adaptation measures are required. Moreover, this paper demonstrates the value of probabilistic climate projections for an important economic and environmental sector. [ABSTRACT FROM AUTHOR]

Partly in response to concerns about anthropogenic climate change, renewable energy production is growing rapidly in the United Kingdom (UK). The wind power industry takes advantage of the country having some of the highest mean wind speeds in Europe. Future climate change, however, has the potential to alter the characteristics of the UK wind climate. Small changes in mean wind speed could produce much greater changes in wind energy output as the power generated is related to the cube of wind speed. This paper aims to use a simple method to provide insight into projected future UK wind climate and how this might differ from current patterns. A discussion of the scale of the projected impacts on the wind energy industry follows. [ABSTRACT FROM AUTHOR]

British summers are known to have become warmer and drier in recent decades, but has there also been a change in the timing of this season’s beginning, as has occurred for spring? This paper addresses this question by examining records of the first blooming date of early summer flowering plants (phenology) and the timing of first occurrences of warm ‘summer’ temperatures, both events that we associate with the onset of summer. This has revealed that the onset of summer in England has been advancing since the mid 1950s. The occurrence of ‘summer’ temperatures has advanced more than early summer flowering, by eleven and three days respectively in the 1990s compared to the period 1954–1963. This may have encouraged drought or heat wave conditions by prolonging the period of warm temperatures and lower rainfall in which these events occur. [ABSTRACT FROM AUTHOR]

Assessing future climate and its potential implications on river flows is a key challenge facing water resource planners. Sound, scientifically-based advice to decision makers also needs to incorporate information on the uncertainty in the results. Moreover, existing bias in the reproduction of the ‘current’ (or baseline) river flow regime is likely to transfer to the simulations of flow in future time horizons, and it is thus critical to undertake baseline flow assessment while undertaking future impacts studies. This paper investigates the three main sources of uncertainty surrounding climate change impact studies on river flows: uncertainty in GCMs, in downscaling techniques and in hydrological modelling. The study looked at four British catchments’ flow series simulated by a lumped conceptual rainfall–runoff model with observed and GCM-derived rainfall series representative of the baseline time horizon (1961–1990). A block-resample technique was used to assess climate variability, either from observed records (natural variability) or reproduced by GCMs. Variations in mean monthly flows due to hydrological model uncertainty from different model structures or model parameters were also evaluated. Three GCMs (HadCM3, CCGCM2, and CSIRO-mk2) and two downscaling techniques (SDSM and HadRM3) were considered. Results showed that for all four catchments, GCM uncertainty is generally larger than downscaling uncertainty, and both are consistently greater than uncertainty from hydrological modelling or natural variability. No GCM or downscaling technique was found to be significantly better or to have a systematic bias smaller than the others. This highlights the need to consider more than one GCM and downscaling technique in impact studies, and to assess the bias they introduce when modelling river flows. [ABSTRACT FROM AUTHOR]

This paper illustrates the potential impact of future climate change on the archaeological resource of river catchments, specifically in Britain, but with reference to other examples across the globe, when considering issues of generic applicability. It highlights an area of the environmental record often neglected by policy makers and environmental planners when considering the impact of climate change; where cultural heritage has been considered in the past, an emphasis has been placed on the historic built environment and major monuments. Through studying the recent past, particularly the last 1,000 years, geomorphologists and geoarchaeologists can add much empirical data to these debates concerning system response. In addition to the impact of the changing intensity and pattern of natural geomorphic processes, human response to climate change ranging from new farming practices through to the implementation of mitigation strategies to minimise the effects of increased flood frequency and magnitude could be equally as damaging to the archaeological record if not managed through informed decision making. [ABSTRACT FROM AUTHOR]

This paper considers the perceptions and responses of selected stakeholders to a very low probability but high consequence climatic ‘surprise’—a scenario of rapid collapse of the West Antarctic ice sheet, producing a global rise in sea-level of 5 m over 100 years. It uses a case study of the Thames Estuary, UK, including London. Through a process of dialogue involving one-to-one interviews and a 1-day policy exercise, we addressed influences on decision-making when information is uncertain and our ability to plan, prepare for and implement effective ways of coping with this extreme scenario. The interviews and policy exercise explored plausible responses to the scenario and identified weaknesses in flood management approaches to dealing with such an occurrence. The analysis shows that an extreme scenario could be highly challenging, even for an area with well-developed institutions. Participants favoured two options (a) reconfiguring London around the rising water, and (b) building a new downstream barrier which would allow London to continue as today. The lack of consensus suggests the potential for policy paralysis in response to what is a highly uncertain phenomena—this could lead to a forced, unplanned response as the rapid change overwhelmed the existing defence capability. Hence, low probability, high consequence climatic events may challenge our existing institutions. Adaptive management is presented as an approach which could address this challenge. [ABSTRACT FROM AUTHOR]

A meta-modelling approach has been adopted to link simulations of low and high water flows with simulations of suitable climate space for a selection of fen and bog species with differing drought and flood tolerance. The linked meta-models were used to examine the impacts of socio-economic and climate change scenarios on wetlands in two contrasting regions of the UK. The hydrological model shows that low and high flows are sensitive to climate change and to the regional distribution of abstractions and discharges. Where there are large changes in urbanisation, flows are more sensitive to socio-economic change. The changes in high flows have little impact on the species selected, but changes in low flows result in a number of areas becoming marginal or unsuitable due to dryness. At the regional scale, adaptation options appear to be limited and mostly involve, for surface water-influenced wetlands, increased water imports (either directly through increased non-consumptive water demand or indirectly through river augmentation), which may not be consistent with the socio-economic scenario or be feasible. This paper shows, therefore, that changes in hydrological regime are important for the future of wetlands and that these may depend as much on the future socio-economic situation as the projected changes in climate. [ABSTRACT FROM AUTHOR]

This paper compares precipitation, maximum and minimum air temperature and solar radiation estimates from the Hadley Centre's HadRM3 regional climate model (RCM), (50x50 km grid cells), with observed data from 15 meteorological station in the UK, for the period 1960-90. The aim was to investigate how well the HadRM3 is able to represent weather characteristics for a historical period (hindcast) for which validation data exist. The rationale was to determine if the HadRM3 data contain systematic errors and to investigate how suitable the data are for use in climate change impact studies at particular locations. Comparing modelled and observed data helps assess and quantify the uncertainty introduced to climate impact studies. The results show that the model performs very well for some locations and weather variable combinations, but poorly for others. Maximum temperature estimations are generally good, but minimum temperature is overestimated and extreme cold events are not represented well. For precipitation, the model produces too many small events leading to a serious under estimation of the number of dry days (zero precipitation), whilst also over- or underestimating the mean annual total. Estimates represent well the temporal distribution of precipitation events. The model systematically over-estimates solar radiation, but does produce good quality estimates at some locations. It is concluded that the HadRM3 data are unsuitable for detailed (i.e. daily time step simulation model based) site-specific impacts studies in their current form. However, the close similarity between modelled and observed data for the historical case raises the potential for using simple adjustment methods and applying these to future projection data. [ABSTRACT FROM AUTHOR]

Carbon capture and storage (CCS) could achieve drastic cuts in the CO2 emissions associated with fossil fuels in the near to medium term and has been promoted as a significant climate change mitigation option. As the profile of this family of technologies grows rapidly, there remain many uncertainties relating to its viability, effectiveness and desirability. In this paper we begin to map out some of the key issues associated with CCS, using a multi-criteria approach to explore how an (admittedly small) selection of stakeholders perceive alternative storage options and energy scenarios. We present five long-term scenarios describing alternative ways in which the UK energy system could develop and which deploy different levels of carbon storage. The key storage options considered are oil and gas fields (both disused and with enhanced oil recovery), traps in saline aquifers, saline aquifers outside traps and on-shore sites. The relative performance of the scenarios and the storage reservoirs included within them have been assessed against a set of socio-economic, technical and environmental criteria by a small selection of stakeholders to the carbon storage debate. Whilst we cannot make strong conclusions regarding precise stakeholder opinions at this stage due to the small size of the sample, the broad delineation of the arguments for and against CCS are evident. Multi-criteria assessment (MCA) appears to hold much potential as a useful tool for characterising and better understanding differences in stakeholder assessments of CCS and its implications, and for identifying options around which greater consensus on the desirability (or otherwise) of CCS as a mitigation strategy might emerge. [ABSTRACT FROM AUTHOR]