Robust adaptation to climate change

By Robert L. Wilby, S. Dessai. 2010

860 citations recorded by the source corpus.

This is the peer reviewed version of the following article: WILBY, R.L. and DESSAI, S., 2010. Robust adaptation to climate change. Weather, 65 (7), pp.180-185, which has been published in final form at https://doi.org/10.1002/wea.543. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.

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

View Paper: https://www.semanticscholar.org/paper/656a3aa0985060d4e2665773c9ed19afd336cb87

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In Ecology, Evolution, Behavior and Systematics

In Global and Planetary Change

In Ocean Engineering

Citations in the corpus

Convection‐permitting modeling with regional climate models: Latest developments and next steps (2021, background): “This concept known as the cascade of uncertainty (Wilby & Dessai, 2010) consists of an increase in the range of uncertainty at each step of the process.”
An uncertain future, deep uncertainty, scenarios, robustness and adaptation: How do they fit together? (2016, background): “…can be considered as “inverse” or “solution-focused” approaches to identifying future conditions of interest, as they usually work backwards from a desired target and place an emphasis on actions or solutions to either transform or preserve (Dessai and Hulme, 2007; Wilby and Dessai, 2010).”
Sensitivity analysis of environmental models: A systematic review with practical workflow (2014, methodology): “More recently SA has been proposed as a tool for ‘ bottom-up ’ or ‘ vulnerability-based ’ approaches for dealing with decision-making problems under large (and often unknown levels of) uncertainties (Wilby and Dessai, 2010) like for example climate projections uncertainties.”
The effect of univariate bias adjustment on multivariate hazard estimates (2019, background): “In particular, uncertainties need to be well communicated to aid adaptation planning (Wilby and Dessai, 2010).”
Bias patterns and climate change signals in GCM-RCM model chains (2018, background): “…argue with the ‘garbage in, garbage out’ paradigm, and it is often assumed that biases from the GCMs and RCMs are independent and thus the uncertainty should be increasing when the global data is translated into regional data, referred to as the ‘cascade of uncertainty’ (Wilby and Dessai 2010).”
Uncertainty in climate change impacts on water resources (2018, background): “Every transfer function or modelling step bears uncertainty, as well as it may entail new information (i.e. Wilby and Dessai, 2010).”
Facets of uncertainty: epistemic uncertainty, non-stationarity, likelihood, hypothesis testing, and communication (2016, background): “…with both the input scenarios and the climate model implementations to be concerned about expressions of confidence or likelihood in these cases, when the probabilities may be incomplete and we should be aware of the potential for the future to surprise (Beven 2011, Wilby and Dessai 2010).”
The Adaptation Policy Paradox : the Implementation Deficit of Policies Framed as Climate Change Adaptation (2013, background): “Key Words: adaptation; adaptive capacity; barriers; climate change; framing; implementation; policy coordination; policy design; political sciences; public policy; tractability”
Decision scaling: Linking bottom‐up vulnerability analysis with climate projections in the water sector (2012, methodology): “[8] The dominant approach to climate change impact analysis uses GCM projections as the driver of the assessment [Wilby and Dessai, 2010].”