Indigenous Australians’ knowledge of weather and climate

Although the last 200 years of colonisation has brought radical changes in economic and governance structures for thousands of Aboriginal and Torres Strait Islanders living in remote areas of northern Australia, many of these Indigenous people still rely upon, and live closely connected to, their natural environment. Over millennia, living ‘on country’, many of these communities have developed a sophisticated appreciation of their local ecosystems and the climatic patterns associated with the changes in them. Some of this knowledge is recorded in their oral history passed down through generations, documented in seasonal weather calendars in local languages and, to a limited degree, transcribed and translated into English. This knowledge is still highly valued by these communities today, as it is used to direct hunting, fishing and planting as well as to inform many seasonally dependant cultural events. In recent years, local observations have been recognised by non-Indigenous scientists as a vital source of environmental data where few historic records exist. Similar to the way that phenological observations in the UK and US provide baseline information on past climates, this paper suggests that Indigenous observations of seasonal change have the potential to fill gaps in climate data for tropical northern Australia, and could also serve to inform culturally appropriate adaptation strategies. One method of recording recent direct and indirect climate and weather observations for the Torres Strait Islands is documented in this paper to demonstrate the currency of local observations of climate and its variability. The paper concludes that a comprehensive, participatory programme to record Aboriginal and Torres Strait Islander knowledge of past climate patterns, and recent observations of change, would be timely and valuable for the communities themselves, as well as contributing to a greater understanding of regional climate change that would be useful for the wider Australian population.     

Hidden climate change – urban meteorology and the scales of real weather

This paper discusses the scale at which the weather is experienced and modified by human activities in urban environment. The climates of built-up areas differ from their non-urban counterparts in many aspect: wind-flows, radiation, humidity, precipitation and air quality all change in the presence of human settlement, transforming each city into a singularity within its regional weather system. Yet this pervasive category of anthropogenic climate change has always tended to be hidden and difficult to discern. The paper first describes the sequence of discovery of the urban heat island since the early nineteenth century, and the emergence and consolidation of a scientific field devoted to the climatology of cities. This is followed by a discussion of various attempts to apply knowledge of climatic factors to the design and management of settlement. We find that real-world application of urban climatology has met with limited success. However, the conclusion suggests that global climate change gives a new visibility and practical relevance to urban-scale climate science.     

Possible impacts of climate change on extreme weather events at local scale in south–central Canada

Synoptic weather typing and regression-based downscaling approaches have become popular in evaluating the impacts of climate change on a variety of environmental problems, particularly those involving extreme impacts. One of the reasons for the popularity of these approaches is their ability to categorize a complex set of meteorological variables into a coherent index, facilitating the projection of changes in frequency and intensity of future daily extreme weather events and/or their impacts. This paper illustrated the capability of the synoptic weather typing and regression methods to analyze climatic change impacts on a number of extreme weather events and environmental problems for south–central Canada, such as freezing rain, heavy rainfall, high-/low-streamflow events, air pollution, and human health. These statistical approaches are helpful in analyzing extreme events and projecting their impacts into the future through three major steps or analysis procedures: (1) historical simulation modeling to identify extreme weather events or their impacts, (2) statistical downscaling to provide station-scale future hourly/daily climate data, and (3) projecting changes in the frequency and intensity of future extreme weather events and their impacts under a changing climate. To realize these steps, it is first necessary to conceptualize the modeling of the meteorology, hydrology and impacts model variables of significance and to apply a number of linear/nonlinear regression techniques. Because the climate/weather validation process is critical, a formal model result verification process has been built into each of these three steps. With carefully chosen physically consistent and relevant variables, the results of the verification, based on historical observations of the outcome variables simulated by the models, show a very good agreement in all applications and extremes tested to date. Overall, the modeled results from climate change studies indicate that the frequency and intensity of future extreme weather events and their impacts are generally projected to significantly increase late this century over south–central Canada under a changing climate. The implications of these increases need be taken into consideration and integrated into policies and planning for adaptation strategies, including measures to incorporate climate change into engineering infrastructure design standards and disaster risk reduction measures. This paper briefly summarized these climate change research projects, focusing on the modeling methodologies and results, and attempted to use plain language to make the results more accessible and interesting to the broader informed audience. These research projects have been used to support decision-makers in south–central Canada when dealing with future extreme weather events under climate change.     

Understanding climate coping as a basis for strategic climate change adaptation – The case of Queenstown-Lake Wanaka,New Zealand

Weather conditions that influence natural resource-based tourist destinations are likely to be affected by climate change, but our understanding of how businesses and destinations manage for present and future conditions is limited. In this study we report on the relationships between weather and tourism activities in the Queenstown-Lake Wanaka region, South Island, New Zealand. Key stakeholder interviews and a workshop form the empirical basis of this paper. Coping range application ideas derived from ecological management literature are used to develop a framework to understand and inform thinking and strategies around how tourism businesses and destinations are currently responding to the weather and perhaps could in future respond to climate change. Results show that within a destination individual businesses have widely varying relationships with the weather, with each type of activity operating within its own coping range to particular environmental gradients, for example temperature. Coping, which can be observed outside the ‘ideal’ range of a particular environmental gradient, requires business adjustments so as to cope with increasingly marginal conditions, up to a Critical Stop Point – the ultimate threshold. The data suggest that increased need for adjustments impacts on business viability, and more planned adaptation measures would be necessary to increase viability under increasingly detrimental climatic conditions. Discussion at a destination level workshop indicates that at and beyond thresholds, keystone industry and destination level strategic adaptation planning is required to ensure the viability of the destination as a whole.     

How do weather characteristics change in a warming climate?

The possible change in the characteristics of weather in the future should be considered as important as the mean climate change because the increasing risk of extremes is related to the variability on daily time scales. The weather characteristics can be represented by the climatological mean interdiurnal (day-to-day) variability (MIDV). This paper first assessed the phase five of the Coupled Model Intercomparison Project coupled climate models’ capability to represent MIDV for the surface maximum and minimum temperature, surface wind speed and precipitation under the present climate condition. Based on the assessment, we selected three best models for projecting future change. We found that the future changes in MIDV are characterized by: (a) a marked reduction in surface maximum and minimum temperature over high latitudes during the cold season; (b) a stronger reduction in the surface minimum temperature than in the maximum temperature; (c) a reduction in surface wind speed over large parts of lands in Northern Hemisphere (NH) during NH spring; (d) a noticeable increase in precipitation in NH mid-high latitudes in NH spring and winter, and in particular over East Asia throughout most of the year.     

Bridging science and community knowledge? The complicating role of natural variability in perceptions of climate change

Although the spatial and temporal scales on which climate varies is a prominent aspect of climate research in the natural sciences, its treatment in the social sciences remains relatively underdeveloped. The result is limited understanding of the public's capacity to perceive climate variability as distinct from change, and uncertainty surrounding how and when to best communicate information on variability/change. Ignoring variability in favour of change-focused analyses and language risks significant misrepresentation of public perception and knowledge, and precludes detailed synthesis of data from the social and natural sciences. An example is presented based on a regional comparison of variability-dominated climate observations and change-focused survey data, collected in western Newfoundland (Canada). This region experiences pronounced, slow-varying natural variability, which acted to obscure broader climate trends through the 1980s and 1990s; since the late 1990s, the same variability has amplified apparent change. While survey results confirm residents perceive regional climate change, it is not clear whether respondents distinguish variability from change. This presents uncertainty in the best approach to climate science communication in this region, and raises concern that subsequent variability-driven transient cooling will erode public support for climate action. Parallels are drawn between these regional concerns and similar uncertainty surrounding treatment of variability in discussion of global temperature trends, highlighting variability perception as a significant gap in human dimensions of climate change research.     

The potential impact of climate change on seasonal snow in New Zealand: part II—industry vulnerability and future snowmaking potential

Seasonal snow in New Zealand is likely to be subject to substantial change due to the impacts of climate change. These changes will have wide ranging impacts on the New Zealand's economy through the energy, agricultural and tourism sectors. In this paper, we assess the impact of climate change, at a micro-scale for a selection of ski area locations in New Zealand. Where available, we have used current observations of snow depth to calibrate the snow model output for the current climate. We consider the change in the number of days with snow depths exceeding 0.30?m, ??snow-days??, at each of these locations for the 2030?C2049 (mid-point reference 2040) and 2080?C2099 (mid-point reference 2090) time periods, for the three different emission scenarios (B1, A1B and A1FI). These future scenarios are compared to simulations of current, 1980?C1999 (mid-point reference 1990), number of snow-days at these locations. We consider both an average year in each 20-year period, as well as a ??worst-case?? year. At each ski area, we consider an upper and lower elevation site. Depending on the elevation and location of the specific site, our analysis shows that there will be a reduction in the number of snow-days in nearly all of the future scenarios and time periods. When we consider a worst-case or minimum snow year in the 1990s, the number of snow-days at each site ranges from 0 to 229, while by the 2040s, it ranges from 0 to 187 (B1), 0 to 183 (A1B) and 0 to 176 (A1FI). By the 2090s the number of snow-days ranges from 0 to 155 (B1), 0 to 90 (A1B) and 0 to 74 (A1FI). We also simulate the hourly future climate for the 2040s and 2090s, for the A1FI scenario, to enable calculations of the potential available time for snowmaking in these two future time periods. We use simulated temperatures and humidity to calculate the total potential snowmaking hours in the future climates. For the snowmaking analysis, only a worst-case year in each time period, rather than an average year, was used to assess the snowmaking potential. This was done to ensure consistency with snowmaking design practices. At all sites, for the A1FI emissions scenario and for both future time periods, a reduction in potential snowmaking hours is observed. By the 2040s, there is only 82 to 53?%, and by the 2090s, there is only 59 to 17?% of the snowmaking time as compared to the 1990s in a worst-case year. Despite this reduction in snowmaking opportunity, snowmaking was still possible at all sites examined. Furthermore, the amount of snow which could be made was sufficient to reinstate the number of snow-days to the lesser of either that observed in the 1990s for each site or to exceed 100?days. While our snowmaking analysis has some limitations, such as neglecting calculation of melt in the man-made snow component, this study highlights the importance of considering adaptation options such as snowmaking for a more complete impact assessment.     

Capelin migrations and climate change – a modelling analysis

The capelin is a small pelagic fish that performs long distance migrations. It is a key species in the Barents Sea ecosystem and its distribution is highly climate dependent. Here we use an individual based model to investigate consequences of global warming on capelin distribution and population dynamics. The model relies on input on physics and plankton from a biophysical ocean model, and the entire life cycle of capelin including spawning of eggs, larval drift and adult movement is simulated. Spawning day and adult movement strategies are adapted by a genetic algorithm. Spawning has to take place in designated near-shore spawning areas. The output generated by the model is capelin migration/distribution and population dynamics. We present simulations with present day climate and a future climate scenario. For the present climate the model evolves a spatial distribution resembling typical spatial dynamics of capelin with the coasts of Northern Norway and Murman as the main spawning areas. For the climate change simulation, the capelin is predicted to shift spawning eastwards and also utilize new spawning areas along Novaya Zemlya. There is also a shift in the adult distribution towards the north eastern part of the Barents Sea and earlier spawning associated with the warming.     

Spatial and temporal analysis of climate change in Hispañola

Climate change in Hispañola is studied since 1900 using a variety of datasets. The longer station-observed temperature record has a significant trend of 0.012 °C/year, while the shorter reanalysis datasets exhibit faster warming, suggesting accelerating greenhouse radiative absorption and Hadley circulation. Rainfall trends are insignificant in the observed period, but a CMIP5 model simulation predicts a significant drying trend. The spatial pattern of climate trends was mapped with reanalysis fields and indicates a faster rate of warming over the eastern half of the island, where observations are dense and the drying trend is greatest. Northeasterly trade winds strengthen on the Atlantic side of the island. While trends intensify in the satellite era compared to the earlier 20th century, part of that effect is ascribed to an upturn in the Atlantic Multi-decadal Oscillation.     

Distributive justice in global climate finance – Recipients’ climate vulnerability and the allocation of climate funds

The ‘climate justice’ lens is increasingly being used in framing discussions and debates on global climate finance. A variant of such justice – distributive justice – emphasises recipient countries’ vulnerability to be an important consideration in funding allocation. The extent to which this principle is pursued in practice has been of widespread and ongoing concerns. Empirical evidence in this regard however remains inadequate and methodologically weak. This research examined the effect of recipients’ climate vulnerability on the allocation of climate funds by controlling for other commonly-identified determinants. A dynamic panel regression method based on Generalised Method of Moments (GMM) was used on a longitudinal dataset, containing approved funds for more than 100,000 projects covering three areas of climate action (mitigation, adaptation, and overlap) in 133 countries over two decades (2000–2018). Findings indicated a non-significant effect of recipients’ vulnerability on mitigation funding, but significant positive effects on adaptation and overlap fundings. ‘Most vulnerable’ countries were likely to receive higher amounts of these two types of funding than the ‘least vulnerable’ countries. All these provided evidence of distributive justice. However, the relationship between vulnerability and funding was parabolic, suggesting ‘moderately vulnerable’ countries likely to receive more funding than the ‘most vulnerable’ countries. Whilst, for mitigation funding, this observation was not a reason for concern, for adaptation and overlap fundings this was not in complete harmony with distributive justice. Paradoxically, countries with better investment readiness were likely to receive more adaptation and overlap funds. In discordance with distributive justice, countries within the Sub-Saharan Africa and South Asia regions, despite their higher climatic vulnerabilities, were likely to receive significantly less adaptation and overlap fundings. Effects of vulnerability were persistent, and past funding had significant effects on current funding. These, coupled with the impact of readiness, suggested a probable Low Funding Trap for the world’s most vulnerable countries. The overarching conclusion is that, although positive changes have occurred since the 2015 Paris Agreement, considerable challenges to distributive justice remain. Significant data and methodological challenges encountered in the research and their implications are also discussed.     

Assessing the probability of El Niño-related weather and climate anomalies in Russian regions

The risk and predictability of weather and climate anomalies in Russian regions associated with differen types of El Niño are estimated using long-term data (1891-2015) on surface air temperature, precipitation, and indices of drought and excessive moisture. The probability of anomalies of these parameters in spring and summer months is estimated for different phase transitions of El Niño events.     

Blaming climate change? How Indian mainstream media covered two extreme weather events in 2015

Reporting the links (or lack of them) between human-induced climate change and individual extreme weather events poses a series of challenges for journalists. In recent years, their task has become more complicated by the increase in the number of extreme event attribution (EEA) studies which assess how climate change is affecting the intensity or likelihood of specific weather events. Such studies are complex, contain uncertainties, and can be difficult to explain to a lay audience. Previous scholarship has largely focused on media coverage of extreme events in developed countries, and on the volume of coverage of the links to climate change, without examining references to EEA studies. To help fill this gap, we take India as our case study, and the mainstream media coverage there of the Chennai rainfall event and the heat wave in Andhra Pradesh in 2015. Both events were subject to attribution studies. Amongst our findings are that journalists most commonly used generic phrases to describe the link between such events and climate change; politicians and NGOs often ‘blamed’ climate change without reference to the science; and relevant EEA studies were seldom quoted. Based on our findings, we make some preliminary recommendations for training journalists in India and elsewhere to support accurate reporting of extreme events and their possible linkages to climate change.     

Who determines transformational change in development and climate finance?

The language of transformational change is increasingly applied to climate policy, and particularly in climate finance. Transformational change in this context is used with respect to low-carbon development futures, with the emphasis on mitigation and GHG metrics. But, for many developing countries, climate policy is embedded in a larger context of sustainable development objectives, defined through a national process. Viewed thus, there is a potential tension between mitigation-focused transformation and nationally driven sustainable development. We explore this tension in the context of operationalizing the Green Climate Fund (GCF), which has to deal with the fundamental tension between country ownership and transformational change. In relation to climate finance, acceptance of diverse interpretations of transformation are essential conditions for avoiding risk of transformational change becoming a conditionality on development. We further draw lessons from climate governance and the development aid literature. The article examines how in the case of both the Clean Development Mechanism and Nationally Appropriate Mitigation Actions, there has been limited success in achieving both development objectives and ‘nationally appropriate’ mitigation. The development aid literature points to process-based approaches as a possible alternative, but there are limitations to this approach.

Policy relevance

The concept of transformational change has gained prominence in climate finance. The conundrum facing the GCF is that it seeks to support transformational change in the climate realm, in a context where countries may have competing priorities. Balancing or even transcending this tension is a fundamental design challenge for the GCF. A primary focus on mitigation, particularly if metrics of performance are tied exclusively to GHG reduction, raise concerns about diluting ownership by recipient countries and evokes concerns of conditionality or worse. The literature on development assistance has explored options notably conditions on process and adequate capacity, and suggests that there are no short cuts to building domestic ownership. Actors on climate change need to avoid the risk that transformational change is perceived as, and becomes, an imposed condition. The risk that transformation change, operationalized in the context of unequal power relations, becomes an imposition on development, needs to be avoided.     

Unstoppable climate change? The influence of fatalistic beliefs about climate change on behavioural change and willingness to pay cross-nationally

Although climate change is an urgent problem, behavioural and policy responses have not yet been sufficient to either reduce the volume of greenhouse gas emissions or adapt to a disrupted climate system. Significant efforts have been made to raise public awareness of the dangers posed by climate change. One reason why these efforts might not be sufficient is rooted in people’s need to feel efficacy to solve complex problems; the belief that climate change is unstoppable might thwart action even among the concerned. This paper tests for the effect of fatalistic beliefs on behavioural change and willingness to pay to address climate change using two cross-national surveys representing over 50,000 people in 48 nations.

Key policy insights

• The perception that climate change poses a risk or danger increases the likelihood of behavioural change and willingness to pay to address climate change.

• The belief that climate change is unstoppable reduces the behavioural and policy response to climate change and moderates risk perception.

• Communicators and policy leaders should carefully frame climate change as a difficult, yet solvable, problem to circumvent fatalistic beliefs.

     

Hot deontology and cold consequentialism – an empirical exploration of ethical reasoning among climate change negotiators

Philosophers, political theorists and cognitive scientists have applied the traditional distinction between deontology and consequentialism to determine ethical responsibilities – usually of states – to take action in response to climate change. Most of this work is either purely conceptual or based on experiments with individuals, who are not part of the global political process. This paper makes two contributions to this debate. First, based on interview data I describe existing patterns of ethical reasoning among global political actors rather than groups selected for lab experiments. Integrating theories of risk perceptions, international relations and moral philosophy, I identify both deontological and consequentialist cognitive patterns, and examine their constitutive elements. My second contribution concerns the role of emotion in moral reasoning. Using the same qualitative data, I offer support for a controversial argument about the emotional nature of deontological reasoning. Further, I argue that many negotiators experience climate change not as an impersonal threat posed by the environment, but rather as an “up, close and personal” threat, over which other negotiation participants have significant control.     

Planning adaptation based on local actors’ knowledge and participation: a climate governance experiment

Involving a wide-range of stakeholders at different moments in the planning of urban adaptation to climate change can help to overcome different barriers to adaptation, such as a lack of common perception, or control over options. This Article argues for an approach that involves a wide range of actors throughout the planning process in order to confront the challenges of urban adaptation to climate change. It builds on the results of a three-year participatory action research project to identify the catalysts with which local administrations can overcome the lack of data, the low level of engagement around the climate issue, and the cause-and-effect linkages of climate change impacts on the urban environment. Significant factors include territorial rootedness, leveraging actors’ experience, interaction between actors, as well as the valuing of local actors as experts of territorial management rather than as novices with regard to climate change adaptation. In addition to contributing towards the engagement of a large number of stakeholders around adaptation issues, a planning process that involves representatives from various sectors and during several stages contributes to a greater understanding of these issues and their linkages. It follows that such a process will bring changes to urban practices by better articulating local concerns about climatic issues.

Policy relevance

Although participation is commonly advocated in policy responses to climate change, only few empirical studies have investigated the ways in which local actors' knowledge can be integrated into climate change adaptation planning processes. The article builds on the results of an action research project carried out in Québec City, Canada, to address the relevance of involving a progressively broader range of actors as the adaptation process moves through its various phases. Given that a multitude of barriers to adaptation are at play at different times in a municipality, collaborations between local stakeholders emerge as a key factor. These collaborations provide greater insight into the linkages between climate change impacts and the urban environment and, in doing so, bring into question ordinary urban management and design practices.     

Analysis and farmers’ perception of climate change in the Kashmir Valley,India

Theoretical and Applied Climatology - Analysis of climatic variables is important for the detection and attribution of climate change trends and has received considerable attention from researchers...