The role of culture and traditional knowledge in climate change adaptation: Insights from East Kimberley,Australia

Indigenous peoples offer alternative knowledge about climate variability and change based on their own locally developed knowledges and practices of resource use. In this article we discuss the role of traditional ecological knowledge in monitoring and adapting to changing environmental conditions. Our case study documents a project to record the seasonal knowledge of the Miriwoong people in northern Australia. The study demonstrates how indigenous groups’ accumulate detailed baseline information about their environment to guide their resource use and management, and develop worldviews and cultural values associated with this knowledge. We highlight how traditional ecological knowledge plays a critical role in mediating indigenous individuals and communities’ understandings of environmental changes in the East Kimberley region of north-west Australia, and how these beliefs may influence future decision-making about how to go about adapting to climate change at a local level.     

Harnessing scientific and local knowledge to face climate change in small-scale fisheries

Small-scale fisheries in developing regions are particularly vulnerable to climate change, but the assessment of climate-induced changes and impacts are often hampered by the data poor-situation of these social-ecological systems. Based on 40 years of scientific and local ecological knowledge, we provide a coherent narrative about the effects of a marine hotspot of climate change on a small-scale fishery across different geographical and temporal scales. We applied a mixed-methods approach to assess biophysical changes, social-ecological impacts, and the incremental spectrum of actions implemented at multiple levels to increase the adaptive capacity of a small-scale clam fishery. The warming hotspot here analyzed was the fastest-warming region in the South Atlantic Ocean. Long-term changes in wind intensity and direction were also noticeable at a regional scale. Both sea surface temperature and winds showed a clear shifting pattern in the late 1990 s. These climate-related stressors determined ecosystem and targeted population changes (e.g. clam mass mortalities, slow stock recovery rates after ecological shocks, habitat narrowing), and favored harmful algal bloom-forming organisms. Climate-induced drivers also affected the human component of the social-ecological system, preventing fishers from securing a fulltime livelihood and limiting the fishery economic potential. Adaptive responses at multiple levels provided some capacity to address climate change effects, and transformative pathways are being taken to adapt to climate-induced changes over the long-term. Transformative changes were fostered by the local perception of environmental change, shared narratives, sustained scientific monitoring programs, and the interaction between knowledge systems, facilitated by a bridging organization within a broader process of governance transformation. The combination of autonomous adaptations (based on linking social capital and fishery leaders agency) and government-led adaptations were essential to face the challenges imposed by climate change. Our results serve as a learning platform to anticipate threats and envision solutions to a wide range of small-scale fisheries in fast-warming regions worldwide.     

Recurrent daily OLR patterns in the Southern Africa/Southwest Indian Ocean region,implications for South African rainfall and teleconnections

A cluster analysis of daily outgoing longwave radiation (OLR) anomalies from 1979 to 2002 over the Southern Africa/Southwest Indian Ocean (SWIO) region for the November to February season reveals seven robust and statistically well separated recurrent patterns of large-scale organized convection. Among them are three regimes indicative of well defined tropical–temperate interactions linking the hinterland parts of Southern Africa to the mid-latitudes of the SWIO. Preferred transitions show a tendency for an eastward propagation of these systems. Analysis of daily rainfall records for South Africa shows that six of the OLR regimes are associated with spatially coherent and significant patterns of enhanced or reduced daily rainfall over the country. Atmospheric anomalies from the NCEP/DOE II reanalysis dataset show that the OLR regimes are associated with either regional or near-global adjustments of the atmospheric circulation, the three regimes representative of tropical–temperate interactions being in particular related to a well-defined wave structure encompassing the subtropical and temperate latitudes, featuring strong vertical anomalies and strong poleward export of momentum in the lee of the location of the cloud-band. The time-series of OLR regimes seasonal frequency are correlated to distinctive anomaly patterns in the global sea-surface-temperature field, among which are shown to be those corresponding to El Nino and La Nina conditions. The spatial signature of El Nino Southern Oscillation’s (ENSO) influence is related to the combination of an increased/decreased frequency of these regimes. It is shown in particular that the well-known “dipole” in convection anomalies contrasting Southern Africa and the SWIO during ENSO events arises as an effect of seasonal averaging and is therefore not valid at the synoptic scale. This study also provides a framework to better understand the observed non-linearities between ENSO and the seasonal convection and rainfall anomalies over the region.     

Power,coalitions and institutional change in South African climate policy

This paper examines power relations, coalitions and conflicts that drive and hinder institutional change in South African climate policy. The analysis finds that the most contested climate policies are those that create distributional conflicts where powerful, non-poor actors will potentially experience real losses to their fossil fuel-based operations. This finding opposes the assumption of competing objectives between emissions and poverty reduction. Yet, actors use discourse that relates to potentially competing objectives between emissions reductions, jobs, poverty reduction and economic welfare.

The analysis relates to the broader questions on how to address public policy problems that affect the two objectives of mitigating climate change and simultaneously boosting socio-economic development. South Africa is a middle-income country that represents the challenge of accommodating simultaneous efforts for emissions and poverty reduction.

Institutional change has been constrained especially in the process towards establishing climate budgets and a carbon tax. The opposing coalitions have succeeded in delaying the implementation of these processes, as a result of unequal power relations. Institutional change in South African climate policy can be predominantly characterized as layering with elements of policy innovation. New policies build on existing regulations in all three cases of climate policy examined: the climate change response white paper, the carbon tax and the renewable energy programme. Unbalanced power relations between coalitions of support in government and civil society and opposition mainly from the affected industry result in very fragile institutional change.

Key policy insights

• The South African government has managed to drive institutional change in climate policy significantly over the past 7 years.

• Powerful coalitions of coal-related industries and their lobbies have constrained institutional change and managed to delay the implementation of carbon pricing measures.

• A successfully managed renewable energy programme has started to transform a coal- and nuclear-powered electricity sector towards integrating sustainable energy technologies. The programme is vulnerable to intergovernmental opposition and requires management at the highest political levels.

• Potential conflict with poverty reduction measures is not a major concern that actively hinders institutional change towards climate objectives. Predominantly non-poor actors frequently use poverty-related discourse to elevate their interests to issues of public concern.

     

Linking regional stakeholder scenarios and shared socioeconomic pathways: Quantified West African food and climate futures in a global context

The climate change research community’s shared socioeconomic pathways (SSPs) are a set of alternative global development scenarios focused on mitigation of and adaptation to climate change. To use these scenarios as a global context that is relevant for policy guidance at regional and national levels, they have to be connected to an exploration of drivers and challenges informed by regional expertise.In this paper, we present scenarios for West Africa developed by regional stakeholders and quantified using two global economic models, GLOBIOM and IMPACT, in interaction with stakeholder-generated narratives and scenario trends and SSP assumptions. We present this process as an example of linking comparable scenarios across levels to increase coherence with global contexts, while presenting insights about the future of agriculture and food security under a range of future drivers including climate change.In these scenarios, strong economic development increases food security and agricultural development. The latter increases crop and livestock productivity leading to an expansion of agricultural area within the region while reducing the land expansion burden elsewhere. In the context of a global economy, West Africa remains a large consumer and producer of a selection of commodities. However, the growth in population coupled with rising incomes leads to increases in the region’s imports. For West Africa, climate change is projected to have negative effects on both crop yields and grassland productivity, and a lack of investment may exacerbate these effects. Linking multi-stakeholder regional scenarios to the global SSPs ensures scenarios that are regionally appropriate and useful for policy development as evidenced in the case study, while allowing for a critical link to global contexts.     

Policy innovation in a changing climate: Sources,patterns and effects

States have been widely criticized for failing to advance the international climate regime. Many observers now believe that a “new” climate governance is emerging through transnational and/or local forms of action that will eventually plug the resulting governance gaps. Yet states, which remain oddly absent from most discussions of the “new” governance, will remain key players as governance becomes more polycentric. This paper introduces a special issue that explores the ability of states to rise to these interconnected challenges through the analytical prism of policy innovation. It reveals that policy innovation is much more multi-dimensional than is often thought; it encompasses three vital activities: invention (centering on the ‘source’ of new policy elements), diffusion (that produces different ‘patterns’ of policy adoption), and the evaluation of the ‘effects’ that such innovations create in reality. The papers, which range from qualitative case studies to large ‘n’ quantitative studies, offer new insights into the varied roles that states play in relation to all three.They show, for instance that: the policy activity of states has risen dramatically in the past decade; that state innovation is affected to similar degrees by internal and external factors; and that policies that offer flexibility to target groups on how to meet policy goals are most effective but that voluntary reporting requirements are ineffective. This paper draws upon these and many other insights to offer a much more nuanced reflection on the future of climate governance; one that deservedly puts states at the front and center of analysis.     

地形、冷池出流和暖湿空气相互作用造成北京一次局地强降水的观测分析

利用地面和探空常规探测资料、多普勒天气雷达以及风廓线雷达资料,对2015年8月7日发生于北京的一次伴随有闪电和冰雹的突发性局地强降水过程的成因进行了分析。结果表明:这次过程发生在强层结不稳定环境中,对流层中层低槽配合低层切变线,促进河北西北部对流发展,并向东南方向移动,形成北京西北部短时强降水;北京中部地区强降水的直接制造者则是新生的局地性雷暴单体,由雷暴冷池出流和暖湿空气在边界层交绥和辐合所触发。北京西北部地形促使冷池出流下山速度加快、冷池出流高度抬高,以及偏东暖湿气流的辐合抬升作用,则是局地雷暴新生的重要影响因子。     

Comparison of nonlinear local Lyapunov vectors with bred vectors,random perturbations and ensemble transform Kalman filter strategies in a barotropic model

The breeding method has been widely used to generate ensemble perturbations in ensemble forecasting due to its simple concept and low computational cost. This method produces the fastest growing perturbation modes to catch the growing components in analysis errors. However, the bred vectors(BVs) are evolved on the same dynamical flow, which may increase the dependence of perturbations. In contrast, the nonlinear local Lyapunov vector(NLLV) scheme generates flow-dependent perturbations as in the breeding method, but regularly conducts the Gram–Schmidt reorthonormalization processes on the perturbations. The resulting NLLVs span the fast-growing perturbation subspace efficiently, and thus may grasp more components in analysis errors than the BVs.In this paper, the NLLVs are employed to generate initial ensemble perturbations in a barotropic quasi-geostrophic model.The performances of the ensemble forecasts of the NLLV method are systematically compared to those of the random perturbation(RP) technique, and the BV method, as well as its improved version—the ensemble transform Kalman filter(ETKF)method. The results demonstrate that the RP technique has the worst performance in ensemble forecasts, which indicates the importance of a flow-dependent initialization scheme. The ensemble perturbation subspaces of the NLLV and ETKF methods are preliminarily shown to catch similar components of analysis errors, which exceed that of the BVs. However, the NLLV scheme demonstrates slightly higher ensemble forecast skill than the ETKF scheme. In addition, the NLLV scheme involves a significantly simpler algorithm and less computation time than the ETKF method, and both demonstrate better ensemble forecast skill than the BV scheme.     

CAPPS模型在武汉市空气质量预报中的应用与检验

利用天气学和数理统计方法,基于2013—2017年（100°—120°E,25°—45°N）范围内405个环境空气质量评价点数据、武汉市空气质量实时监测数据以及相应时段常规气象观测资料,对武汉重污染天气过程触发机制及主要影响因素进行了分析,结果表明：（1）武汉市2013—2017年空气质量重污染过程发生频率和过程平均持续时长均呈明显下降趋势。（2）引发武汉市空气质量重污染过程的天气形势在海平面气压场表现为冷空气入侵、静稳天气两种类型,形成机制分别为风力加大导致风向上游空气质量指数AQI大值区污染物输送和扩散条件较差导致本地污染物堆积。（3）典型的武汉城区重污染过程形成的天气模型为：过程开始时静稳天气下本地污染物堆积;冷空气南下时风力加大导致外源污染物输入;冷锋过境后内外源污染物叠加;冷空气影响过后扩散条件转好,过程结束。（4）空气质量实时变化与气压、风、温度、相对湿度等气象要素有密切的关系。在不同的天气形势下,应以气压的实时变化为基础,结合其它气象要素的特征,分析制作AQI精细化变化趋势预报。