scholarly journals Towards better informed adaptation strategies: co-designing climate change impact maps for Austrian regions

2019 ◽  
Vol 158 (3-4) ◽  
pp. 393-411 ◽  
Author(s):  
Benedikt Becsi ◽  
Daniela Hohenwallner-Ries ◽  
Torsten Grothmann ◽  
Andrea Prutsch ◽  
Tobias Huber ◽  
...  

AbstractTo design effective adaptation measures to a heating climate, decision-makers need a state-of-the-art, regional and sector-specific knowledge about future climate impacts. Tailoring this information to the needs of policymakers requires collaboration between scientists and stakeholders. A lot of literature on design principles and comprehension of scientific visualisations exists. However, the links between objective comprehension, perceived usefulness for communication and aesthetics of climate change impact maps have rarely been analysed in empirical studies. In a co-design effort together with stakeholders in adaptation planning and climate change communication experts, regional climate change impact maps were developed and published as open-access dataset. The comprehension, aesthetics and perceived usefulness of different map design features were qualitatively and quantitatively evaluated in a two-step survey. Designs with less information density were understood best, found most aesthetical and useful for communication practice. Uncertainties were deemed necessary by participants, but not understood well when combined with other variables on the same map sheet. Map understanding varied significantly with the cognitive difficulty of a task. This difference was robust over user groups. Co-designing maps at the science-policy interface have the potential to create more useful and comprehensible communication materials and thus supports adaptation planning with the best available information on future climate impacts.

2007 ◽  
Vol 11 (3) ◽  
pp. 1207-1226 ◽  
Author(s):  
B. Hingray ◽  
N. Mouhous ◽  
A. Mezghani ◽  
K. Bogner ◽  
B. Schaefli ◽  
...  

Abstract. A probabilistic assessment of climate change and related impacts should consider a large range of potential future climate scenarios. State-of-the-art climate models, especially coupled atmosphere-ocean general circulation models and Regional Climate Models (RCMs) cannot, however, be used to simulate such a large number of scenarios. This paper presents a methodology for obtaining future climate scenarios through a simple scaling methodology. The projections of several key meteorological variables obtained from a few regional climate model runs are scaled, based on different global-mean warming projections drawn in a probability distribution of future global-mean warming. The resulting climate change scenarios are used to drive a hydrological and a water management model to analyse the potential climate change impacts on a water resources system. This methodology enables a joint quantification of the climate change impact uncertainty induced by the global-mean warming scenarios and the regional climate response. It is applied to a case study in Switzerland, a water resources system formed by three interconnected lakes located in the Jura Mountains. The system behaviour is simulated for a control period (1961–1990) and a future period (2070–2099). The potential climate change impacts are assessed through a set of impact indices related to different fields of interest (hydrology, agriculture and ecology). The results obtained show that future climate conditions will have a significant influence on the performance of the system and that the uncertainty induced by the inter-RCM variability will contribute to much of the uncertainty of the prediction of the total impact. These CSRs cover the area considered in the 2001–2004 EU funded project SWURVE.


Eos ◽  
2007 ◽  
Vol 88 (47) ◽  
pp. 504-504 ◽  
Author(s):  
Edwin P. Maurer ◽  
Levi Brekke ◽  
Tom Pruitt ◽  
Philip B. Duffy

2013 ◽  
Vol 5 (2) ◽  
pp. 216-232
Author(s):  
Sibylle Kabisch ◽  
Ronjon Chakrabarti ◽  
Till Wolf ◽  
Wilhelm Kiewitt ◽  
Ty Gorman ◽  
...  

With regional variations, climate change has a significant impact on water quality deterioration and scarcity, which are serious challenges in developing countries and emerging economies. Often, effective projects to improve water management in the light of climate change are difficult to develop because of the complex interrelations between direct and indirect climate impacts and local perceptions of vulnerabilities and needs. Adaptation projects can be developed through a combination of participatory, bottom-up needs assessments and top-down analyses. Climate change impact chains can help to display the causal chain of climate signals and resulting impacts and thereby establish a system map as a basis for stakeholder discussions. This article aims to develop specific climate change impact chains for the water management sector in rural coastal India that combine bottom-up and top-down perspectives. Case studies from Tamil Nadu and Andhra Pradesh, India, provide a basis for the impact chains developed. Bottom-up data were gathered through a vulnerability and needs assessment in 18 villages complemented with top-down research data. The article is divided into four steps: (1) system of interest; (2) data on climate change signals; (3) climate change impacts based on top-down as well as bottom-up information; (4) specific impact chains complemented by initial climate change adaptation options.


2009 ◽  
Vol 59 (3) ◽  
pp. 443-451 ◽  
Author(s):  
O. M. Thorne ◽  
R. A. Fenner

In response to a rapidly changing and highly variable climate, engineers are being asked to perform climate-change impact assessments on existing water industry systems. There is currently no single method of best practice for engineers to interpret output from global climate models (GCMs) and calculate probabilistic distributions of future climate changes as required for risk-based impact assessments. The simplified climate change impact assessment tool (SCIAT) has been developed to address the specific needs of the water industry and provides a tool to translate climate change projections into ‘real world’ impacts or for detailed statistical analysis. Through the use of SCIAT, water system operators are provided with knowledge of potential impacts and an associated probability of occurrence, enabling them to make informed, risk-based adaptation and planning decisions. This paper demonstrates the application of SCIAT to the consideration of the impacts of climate change on reservoir water quality under future climate scenarios.


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