scholarly journals Climate Change Uncertainty Spillover in the Macroeconomy

2021 ◽  
Author(s):  
Michael Barnett ◽  
William Brock ◽  
Lars Hansen
Keyword(s):  
Climate Change ◽  
Climate Change Uncertainty

Climate Change Uncertainty and the Classification of 226 Local Entities in Korea

2020 ◽  
Vol 11 (222) ◽  
pp. 507-520
Author(s):  
Jaewan Kim ◽  
Tae Yong Jung ◽  
Chan Park ◽  
Jongwoo Moon ◽  
Dahyun Kang
Keyword(s):  
Climate Change ◽  
Climate Change Uncertainty

scholarly journals Climate Change, Uncertainty and Policy

2021 ◽  
Author(s):  
Jeroen Hopster
Keyword(s):  
Climate Change ◽  
Climate Science ◽  
Decision Makers ◽  
Deep Uncertainty ◽  
Fine Grained ◽  
Moral Uncertainty ◽  
Climate Economics ◽  
Climate Change Uncertainty ◽  
Management Perspective ◽  
Climate Uncertainty

While the foundations of climate science and ethics are well established, fine-grained climate predictions, as well as policy-decisions, are beset with uncertainties. This chapter maps climate uncertainties and classifies them as to their ground, extent and location. A typology of uncertainty is presented, centered along the axes of scientific and moral uncertainty. This typology is illustrated with paradigmatic examples of uncertainty in climate science, climate ethics and climate economics. Subsequently, the chapter discusses the IPCC’s preferred way of representing uncertainties and evaluates its strengths and weaknesses from a risk management perspective. Three general strategies for decision-makers to cope with climate uncertainty are outlined, the usefulness of which largely depends on whether or not decision-makers find themselves in a context of deep uncertainty. The chapter concludes by offering two recommendations to ease the work of policymakers, faced with the various uncertainties engrained in climate discourse.

scholarly journals A multicriteria optimization model for sustainable forest management under climate change uncertainty: An application in Portugal

2018 ◽  
Vol 269 (1) ◽  
pp. 79-98 ◽  
Author(s):  
Eduardo Álvarez-Miranda ◽  
Jordi Garcia-Gonzalo ◽  
Felipe Ulloa-Fierro ◽  
Andrés Weintraub ◽  
Susana Barreiro
Keyword(s):  
Climate Change ◽  
Forest Management ◽  
Optimization Model ◽  
Multicriteria Optimization ◽  
Sustainable Forest Management ◽  
Climate Change Uncertainty

The biggest climate change uncertainty of all

2011 ◽  
Vol 212 (2835) ◽  
pp. 5
Keyword(s):  
Climate Change ◽  
Climate Change Uncertainty

scholarly journals Learning about climate change uncertainty enables flexible water infrastructure planning

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Sarah Fletcher ◽  
Megan Lickley ◽  
Kenneth Strzepek
Keyword(s):  
Climate Change ◽  
Water Infrastructure ◽  
Infrastructure Planning ◽  
Climate Change Uncertainty

Climate change impact evaluation in various regions in Europe on the base of ensemble modelling

2020 ◽  
Author(s):  
Jaromir Krzyszczak ◽  
Piotr Baranowski ◽  
Monika Zubik
Keyword(s):  
Climate Change ◽  
Response Surfaces ◽  
Mitigation Strategies ◽  
Climate Conditions ◽  
Crop Models ◽  
Climate Change Uncertainty ◽  
Arable Fields ◽  
Four Levels ◽  
The Impact ◽  
Adaptation Options

<p>Climate change uncertainty largely complicates adaptation and risk management evaluation at the regional level, therefore new approaches for managing this uncertainty are still being developed. In this study three crop models (DNDC, WOFOST and DSSAT) were used to explore the utility of impact response surfaces (IRS) and adaptation response surfaces (ARS) methodologies (Pirttioja et al., 2015; Ruiz-Ramos et al., 2018).</p><p>To build IRS, the sensitivity of modelled yield to systematic increments of changes in temperature (-1 to +6°C) and precipitation (-30 to +50%) was tested by modifying values of baseline (1981 to 2010) daily weather. Four levels of CO2 (360, 447, 522 and 601 ppm) representing future conditions until 2070 were considered. In turn, to build ARS, adaptation options were: shortening or extending the crop cycle of the standard cultivar, sowing earlier or later than the standard date and additional irrigation. Preliminary data indicate that yields are declining with higher temperatures and decreased precipitation. Yield is more sensitive to changes in baseline temperature values and much less sensitive to changes in baseline precipitation values for arable fields in Finland, while for arable fields in Germany, ARS indicates yield sensitivity at a similar level for both variables. Also, our data suggests that some adaptation options provides increase of the yield up to 1500 kg/ha, which suggest that ARSs may be valuable tool for planning an effective adaptation treatments. This research shows how to analyze and assess the impact of adaptation strategies in the context of the high level of regional uncertainty in relation to future climate conditions. Developed methodology can be applied to other climatic zones to help in planning adaptation and mitigation strategies.</p><p>This study has been partly financed from the funds of the Polish National Centre for Research and Development in frame of the project: MSINiN, contract number: BIOSTRATEG3/343547/8/NCBR/2017</p>

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