Thermal Assessment Tool: A climate service to visualize trends of risk events related to cold snaps and heatwaves

Author(s):  
Blas Lajarín ◽  
Nieves Peña ◽  
Jorge Paz ◽  
Edward P. Morris ◽  
Greta C. Vega ◽  
...  

<p>The Thermal Assessment Tool has been developed within the framework of a Copernicus Climate Change Service (C3S) contract, titled Climate Change Dashboards for Decision Makers, to provide an interactive and informative dashboard to allow users to visualize the frequency and severity of risk events related to cold snaps and heatwaves. The tool is based on historical, seasonal forecast and long-term projections datasets, available through C3S Climate Data Store (CDS). It reduces the need for repetitive complex climate data analysis, thereby saving time and effort in the decision-making process.</p><p>Climate change has already impacted ecosystems and humans, and it is foreseeing that will lead to an increase in the number and intensity of extreme weather events, including heatwaves and cold snaps. These may bring temperatures that are significantly warmer or colder than average that may cause impacts such as thermal discomfort, lack of productivity, more energy consumption and/or health problems. To reduce or at least mitigate these impacts added-value information regarding the risks of extreme temperatures is needed to make proper decisions to prepare, protect and prevent the city and citizens.</p><p>For this purpose, the Thermal Assessment Tool provides a customized dashboard that allows users to visualize heatwaves, cold snaps and thermal comfort based on long-term projections and seasonal forecasts. The tool also presents an interactive map and a time series visualization identifying the magnitude of these three variables. This reduces the need for repetitive complex climate data analysis, thereby saving time and effort in the decision-making processes. Information on the frequency and severity of future extreme temperature events can also assist with planning.</p><p>The tool showcases how to analyze, process and simplify large volumes of data through different maps and plots that make it easier to understand climate indicators (about the past, present or future). Local governments and other decision-makers, as well as actors in housing development and management, urban planning, and insurance can refer to the tool to complement their usual information systems with additional quality-assured insights that they can act on.</p><p>Acknowledgments: We would like to thank the C3S for funding this project and the participants in the various workshops mentioned below: Ayuntamiento de Bilbao, Ihobe y la Oficina Española de Cambio Climático.</p>

2021 ◽  
Author(s):  
◽  
Judith Helen Lawrence

<p>The ability of decision makers to respond to climate change impacts such as sea-level rise and increased flood frequency is challenged by uncertainty about scale, timing, dynamic changes that could lead to regime shifts, and by societal changes. Climate change adaptation decision making needs to be robust and flexible across a range of possible futures, to provide sufficient certainty for investment decisions in the present, without creating undue risks and liabilities for the near and long-term futures. A country’s governance and regulatory institutions set parameters for such decisions. The decision-making challenge is, therefore, a function of the uncertainty and dynamic characteristics of climate change, a country’s institutional framework, and the ways in which actual decision-making practice delivers on the intention of the framework.  My research asks if the current decision-making framework, at national and sub-national scales, and practices under it are adequate to enable decision makers to make climate change adaptation decisions that sufficiently address the constraints posed by climate change uncertainty and dynamic change. The focus is on New Zealand’s multi-scale governance and institutional framework with its high level of devolution to the local level, the level assumed as the most appropriate for climate change adaptation decisions. Empirical information was collected from a sample of agencies and actors, at multiple governance scales reflecting the range of geographical characteristics, governance types, organisational functions and actor disciplines. Data were collected using a mix of workshops, interviews and document analyses. The adequacy of the institutional framework and practice was examined using 12 criteria derived from the risk-based concepts of precaution, risk management, adaptive management and transformational change, with respect to; a) understanding and representing uncertainty and dynamic climate change; b) governance and regulations; and c) organisations and actors.  The research found that the current decision-making framework has many elements that could, in principle, address uncertainty and dynamic climate change. It enables long-term considerations and emphasises precaution and risk-based decision making. However, adaptive and transformational objectives are largely absent, coordination across multiple levels of government is constrained and timeframes are inconsistent across statutes. Practice shows that climate risk has been entrenched by misrepresentation of climate change characteristics. The resulting ambiguity is compounded at different governance scales, by gaps in the use of national and regional instruments and consequent differences in judicial decisions. Practitioners rely heavily upon static, time-bound treatments of risk, which reinforce unrealistic community expectations of ongoing protections, even as the climate continues to change, and makes it difficult to introduce transformational measures. Some efforts to reflect changing risk were observed but are, at best, transitional measures. Some experimentation was found in local government practice and boundary organisations were used as change-agents. Any potential improvements to both the institutional framework and to practices that could enable flexible and robust adaptation to climate change, would require supporting policies and adaptive governance to leverage them and to sustain decision making through time.  This thesis contributes to understanding how uncertainty and dynamic climate change characteristics matter for adaptation decision making by examining both a country-level institutional framework and practice under it. The adequacy analysis offers a new way of identifying institutional barriers, enablers and entry points for change in the context of decision making under conditions of uncertainty and dynamic climate change.</p>


2021 ◽  
Vol 2 ◽  
Author(s):  
Elizabeth L. Mclean ◽  
Austin Becker

Climate change and extreme weather events put in peril the critical coastal infrastructure that is vital to economies, livelihoods, and sustainability. However, for a variety of reasons, decision makers often do not implement potential adaptation strategies to plan and adjust to climate and extreme weather events. To respond to the question of how seaport decision makers perceive strategies to overcome the barriers to adaptation we used semi-structured interviews of 30 seaport directors/managers, environmental specialists, and safety managers from 15 medium- and high-use ports of the U.S. North Atlantic. This paper contributes four broad strategies identified by seaport decision makers as necessary to help them advance on this challenge: funding, better planning or guidance, research and education, and advocacy/lobbying. We coded these strategies parallel to our partner paper that identified seven key barriers faced by the same set of decision makers. Results can help direct resources in ways targeted to the needs of seaport decision makers. The proposed framework contributes to theories of resilience building and barriers to decision making. Being strategic about change facilitates effective adaptation, decreasing risk, and enables continuity of safe, and sustainable, operations of U.S. seaports in the face of climate and extreme weather events.


2021 ◽  
Author(s):  
◽  
Judith Helen Lawrence

<p>The ability of decision makers to respond to climate change impacts such as sea-level rise and increased flood frequency is challenged by uncertainty about scale, timing, dynamic changes that could lead to regime shifts, and by societal changes. Climate change adaptation decision making needs to be robust and flexible across a range of possible futures, to provide sufficient certainty for investment decisions in the present, without creating undue risks and liabilities for the near and long-term futures. A country’s governance and regulatory institutions set parameters for such decisions. The decision-making challenge is, therefore, a function of the uncertainty and dynamic characteristics of climate change, a country’s institutional framework, and the ways in which actual decision-making practice delivers on the intention of the framework.  My research asks if the current decision-making framework, at national and sub-national scales, and practices under it are adequate to enable decision makers to make climate change adaptation decisions that sufficiently address the constraints posed by climate change uncertainty and dynamic change. The focus is on New Zealand’s multi-scale governance and institutional framework with its high level of devolution to the local level, the level assumed as the most appropriate for climate change adaptation decisions. Empirical information was collected from a sample of agencies and actors, at multiple governance scales reflecting the range of geographical characteristics, governance types, organisational functions and actor disciplines. Data were collected using a mix of workshops, interviews and document analyses. The adequacy of the institutional framework and practice was examined using 12 criteria derived from the risk-based concepts of precaution, risk management, adaptive management and transformational change, with respect to; a) understanding and representing uncertainty and dynamic climate change; b) governance and regulations; and c) organisations and actors.  The research found that the current decision-making framework has many elements that could, in principle, address uncertainty and dynamic climate change. It enables long-term considerations and emphasises precaution and risk-based decision making. However, adaptive and transformational objectives are largely absent, coordination across multiple levels of government is constrained and timeframes are inconsistent across statutes. Practice shows that climate risk has been entrenched by misrepresentation of climate change characteristics. The resulting ambiguity is compounded at different governance scales, by gaps in the use of national and regional instruments and consequent differences in judicial decisions. Practitioners rely heavily upon static, time-bound treatments of risk, which reinforce unrealistic community expectations of ongoing protections, even as the climate continues to change, and makes it difficult to introduce transformational measures. Some efforts to reflect changing risk were observed but are, at best, transitional measures. Some experimentation was found in local government practice and boundary organisations were used as change-agents. Any potential improvements to both the institutional framework and to practices that could enable flexible and robust adaptation to climate change, would require supporting policies and adaptive governance to leverage them and to sustain decision making through time.  This thesis contributes to understanding how uncertainty and dynamic climate change characteristics matter for adaptation decision making by examining both a country-level institutional framework and practice under it. The adequacy analysis offers a new way of identifying institutional barriers, enablers and entry points for change in the context of decision making under conditions of uncertainty and dynamic climate change.</p>


2021 ◽  
Author(s):  
Mirjam Vujadinović Mandić ◽  
Ana Vuković Vimić ◽  
Marija Ćosić ◽  
Zorica Ranković-Vasić ◽  
Vladimir Djurdjević ◽  
...  

&lt;p&gt;Agriculture is exposed to numerous risks related to climate change. Extreme weather events, such as droughts, heat waves, intensive rainfall and floods, as well as slow changes (increased temperatures, changes in precipitation regime and generally increased climate variability) affect the year-to-year stability of quality and quantity of the plant production.&lt;/p&gt;&lt;p&gt;Serbia is located in one of the regions that are recognized as hot spots where climate change unfolds faster than the global average. A survey completed by more than 100 agricultural producers in Serbia showed that in the last 20 years they were affected by mostly negative impact of climate change and suffered reduced quality and/or quantity of yields, mostly from droughts, high summer temperatures, spring frosts and storms with strong winds and hail.&lt;/p&gt;&lt;p&gt;Adaptation measures applied to reduce the risks of extreme weather events are mainly those subsidized by the Government (anti-hail nets, irrigation systems, etc.), recommended by the Agriculture Advisory Service or other independent expert (tillage methods, sowing time, time and water amount used for irrigation, use of fertilizers, etc.), as well as those learn from their own past experience (selection of varieties, crop rotation).&lt;/p&gt;&lt;p&gt;Most respondents regularly follow short-term weather forecasts from various sources and plan field activities accordingly. They are mainly familiar with the monthly forecast issued by the Republic Hydrometeorological Service of Serbia (RHMSS), which is also published by several newspapers. This forecast is based on the statistical method of analogies and the producers believe that they cannot rely on it in long-term planning. In general, they lack confidence in the long-term weather forecasts, mainly due to the fact that over the past years Serbian media were overwhelmed with tendentious seasonal forecasts from unreliable sources.&lt;/p&gt;&lt;p&gt;On the other hand, the survey showed that many producers would appreciate and use the seasonal weather outlooks if it was tailored according to their specific needs considering species they cultivate and local climate characteristics. They would like clearly presented information, in simple graph or map form, followed by textual advices on agro-technical measures they could adopt in order to reduce foreseen weather-related risks.&lt;/p&gt;&lt;p&gt;Integrated Agro-meteorological Prediction System (IAPS) is a project financed by the Science Fund of the Republic of Serbia through the Program for excellent project of young researchers (PROMIS) that aims to reduce the risk of weather-related events and increase climate resilience of Serbian agriculture, as well as to advance the use of climate information by producers and agricultural advisers in long-term planning. The idea is to create a coupled system od dynamically downscaled seasonal weather forecasts and crop models, accompanied with a set of products specifically tailored to support long-term decision making in agriculture. At the end of the project, the developed system and its products will be offered to RHMSS to include in the operative forecast system.&lt;/p&gt;


Water ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1548
Author(s):  
Suresh Marahatta ◽  
Deepak Aryal ◽  
Laxmi Prasad Devkota ◽  
Utsav Bhattarai ◽  
Dibesh Shrestha

This study aims at analysing the impact of climate change (CC) on the river hydrology of a complex mountainous river basin—the Budhigandaki River Basin (BRB)—using the Soil and Water Assessment Tool (SWAT) hydrological model that was calibrated and validated in Part I of this research. A relatively new approach of selecting global climate models (GCMs) for each of the two selected RCPs, 4.5 (stabilization scenario) and 8.5 (high emission scenario), representing four extreme cases (warm-wet, cold-wet, warm-dry, and cold-dry conditions), was applied. Future climate data was bias corrected using a quantile mapping method. The bias-corrected GCM data were forced into the SWAT model one at a time to simulate the future flows of BRB for three 30-year time windows: Immediate Future (2021–2050), Mid Future (2046–2075), and Far Future (2070–2099). The projected flows were compared with the corresponding monthly, seasonal, annual, and fractional differences of extreme flows of the simulated baseline period (1983–2012). The results showed that future long-term average annual flows are expected to increase in all climatic conditions for both RCPs compared to the baseline. The range of predicted changes in future monthly, seasonal, and annual flows shows high uncertainty. The comparative frequency analysis of the annual one-day-maximum and -minimum flows shows increased high flows and decreased low flows in the future. These results imply the necessity for design modifications in hydraulic structures as well as the preference of storage over run-of-river water resources development projects in the study basin from the perspective of climate resilience.


2021 ◽  
Author(s):  
Anna Maria De Girolamo ◽  
Youssef Brouziyne ◽  
Lahcen Benaabidate ◽  
Aziz Aboubdillah ◽  
Ali El Bilali ◽  
...  

&lt;p&gt;The non-perennial streams and rivers are predominant in the Mediterranean region and play an important ecological role in the ecosystem diversity in this region. This class of streams is particularly vulnerable to climate change effects that are expected to amplify further under most climatic projections. Understanding the potential response of the hydrologic regime attributes to climatic stress helps in planning better conservation and management strategies. Bouregreg watershed (BW) in Morocco, is a strategic watershed for the region with a developed non-perennial stream network, and with typical assets and challenges of most Mediterranean watersheds. In this study, a hybrid modeling approach, based on the Soil and Water Assessment Tool (SWAT) model and Indicator of Hydrologic Alteration (IHA) program, was used to simulate the response of BW's stream network to climate change during the period: 2035-2050. Downscaled daily climate data from the global circulation model CNRM-CM5 were used to force the hybrid modeling framework over the study area. Results showed that, under the changing climate, the magnitude of the alteration will be different across the stream network; however, almost the entire flow regime attributes will be affected. Under the RCP8.5 scenario, the average number of zero-flow days will rise up from 3 to 17.5 days per year in some streams, the timing of the maximum flow was calculated to occur earlier by 17 days than in baseline, and the timing of the minimal flow should occur later by 170 days in some streams. The used modeling approach in this study contributed in identifying the most vulnerable streams in the BW to climate change for potential prioritization in conservation plans.&lt;/p&gt;


2018 ◽  
Author(s):  
Benjamin Hayden

Self-control refers to the ability to deliberately reject tempting options and instead select ones that produce greater long-term benefits. Although some apparent failures of self-control are, on closer inspection, reward maximizing, at least some self-control failures are clearly disadvantageous and non-strategic. The existence of poor self-control presents an important evolutionary puzzle because there is no obvious reason why good self-control should be more costly than poor self-control. After all, a rock is infinitely patient. I propose that self-control failures result from cases in which well-learned (and thus routinized) decision making strategies yield suboptimal choices. These mappings persist in the decision-makers’ repertoire because they result from learning processes that are adaptive in the broader context, either on the timescale of learning or of evolution. Self-control, then, is a form of cognitive control and the subjective feeling of effort likely reflects the true costs of cognitive control. Poor self-control, in this view, is ultimately a result of bounded optimality.


2021 ◽  
Vol 7 (11) ◽  
pp. 912
Author(s):  
Rodolfo Bizarria ◽  
Pepijn W. Kooij ◽  
Andre Rodrigues

Maintaining symbiosis homeostasis is essential for mutualistic partners. Leaf-cutting ants evolved a long-term symbiotic mutualism with fungal cultivars for nourishment while using vertical asexual transmission across generations. Despite the ants’ efforts to suppress fungal sexual reproduction, scattered occurrences of cultivar basidiomes have been reported. Here, we review the literature for basidiome occurrences and associated climate data. We hypothesized that more basidiome events could be expected in scenarios with an increase in temperature and precipitation. Our field observations and climate data analyses indeed suggest that Acromyrmex coronatus colonies are prone to basidiome occurrences in warmer and wetter seasons. Even though our study partly depended on historical records, occurrences have increased, correlating with climate change. A nest architecture with low (or even the lack of) insulation might be the cause of this phenomenon. The nature of basidiome occurrences in the A. coronatus–fungus mutualism can be useful to elucidate how resilient mutualistic symbioses are in light of climate change scenarios.


Leadership ◽  
2012 ◽  
Vol 8 (2) ◽  
pp. 169-185 ◽  
Author(s):  
Jan Ketil Arnulf ◽  
John Erik Mathisen ◽  
Thorvald Hærem

Similar to practices in top management positions worldwide, there has been an increasing tendency in recent decades to fire football managers when the team does not perform to the stakeholders' expectations. Previous research has suggested that improvements after change of manager are a statistical artefact. Based on 12 years of data from the Norwegian Premier League, we conduct a natural experiment showing what would have taken place if the manager had not been fired. In this case, the performance might have improved just as well and even quicker. Building on theories in expertise and decision making, we explore the data and argue that decision makers may be fooled by randomness and learn wrong lessons about team leadership. Our analyses support a post-heroic view of team leadership as an emergent, output variable. Exaggerated focus on the individual manager may ruin long-term performance. Practical implications are discussed.


Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Virupaxi Bagodi ◽  
Biswajit Mahanty

PurposeManagerial decision-making is an area of interest to both academia and practitioners. Researchers found that managers often fail to manage complex decision-making tasks and system thinkers assert that generic structures known as systems archetypes help them to a great deal in handling such situations. In this paper, it is demonstrated that decision makers resort to lowering of goal (quick-fix) in order to resolve the gap between the goal and current reality in the “drifting the goals” systems archetype.Design/methodology/approachA real-life case study is taken up to highlight the pitfalls of “drifting the goals” systems archetype for a decision situation in the Indian two-wheeler industry. System dynamics modeling is made use of to obtain the results.FindingsThe decision makers fail to realize the pitfall of lowering the goal to resolve the gap between the goal and current reality. It is seen that, irrespective of current less-than-desirable performance, managers adopting corrective actions other than lowering of goals perform better in the long run. Further, it is demonstrated that extending the boundary and experimentation results in designing a better service system and setting benchmarks.Practical implicationsThe best possible way to avoid the pitfall is to hold the vision and not lower the long term goal. The managers must be aware of the pitfalls beforehand.Originality/valueSystems thinking is important in complex decision-making tasks. Managers need to embrace long-term perspective in decision-making. This paper demonstrates the value of systems thinking in terms of a case study on the “drifting the goals” systems archetype.


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