Does climate adaptation policy need probabilities?

By S. Dessai, M. Hulme. 2004

539 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/323fcdfbc63cb6a79a0251f1bccad45c5bc3ebb9

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In Ecology, Evolution, Behavior and Systematics

In Global and Planetary Change

Citations in the corpus

Adaptive capacity and human cognition: The process of individual adaptation to climate change (2005, background): “Hence, it is not surprising that a great many studies within the adaptation literature focus on assessing capacity at the local or regional level, and the various constraints—institutional, informational, and financial—that often stand in the way (Berkes and Jolly, 2001; Broad et al., 2002; Dessai a”
Potential applications of subseasonal‐to‐seasonal (S2S) predictions (2017, background): “There is an ongoing debate on the pros and cons of top-down and bottom-up approaches (e.g. Dessai and Hulme, 2004; Ray and Webb, 2016).”
Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling (2007, background): “The limited use of such methods has so far proved valuable in providing increasingly robust forecasts of climate change impacts on agriculture and hydrology, through the inclusion of uncertainty estimates which can be used in the planning of adaptation measures (Dessai and Hulme, 2004).”
A Representative Democracy to Reduce Interdependency in a Multimodel Ensemble (2015, background): “However, when high-dimensional data and/or spatially and temporally consistent ﬁelds are required (e.g., for impact models), a fully probabilistic method becomes unwieldy and might even hinder the development of tractable impact analyses (Dessai and Hulme 2004).”
Public perception of climate risk and adaptation in the UK: A review of the literature (2014, background): “…to this uncertainty is therefore a matter of some concern in the field of climate risk management; as is the question of how uncertainty in climate and climate impact projections can best be communicated to the public (Dessai and Hulme, 2004; Pidgeon and Fischhoff, 2011; Spence et al., 2012).”
A hybrid framework for assessing socioeconomic drought: Linking climate variability, local resilience, and demand (2015, background): “Another frequent distinction in vulnerability and drought assessment studies arises from the “top-down” and “bottom-up” methodologies [Dessai and Hulme, 2004].”
Adapting to Climate Change: Climate prediction: a limit to adaptation? (2009, unknown): “Some of these uncertainties can be quantified, but many simply cannot, meaning that there is some level of irreducible ignorance in our understandings of future climate ( Dessai and Hulme 2004 ).”
Robust adaptation to climate change (2010, background): “There also remains a danger that ensemble projections are perceived as actual probabilities of change when, in fact, the resultant distributions of temperature and precipitation changes are highly dependent upon the experimental design (Dessai and Hulme, 2004).”