Uncertainty and Climate Change Assessments

By J. Reilly, P. Stone, C. Forest, M. Webster, H. Jacoby, R. Prinn. Science, 2001

191 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/ff809827d2a3cf8399452b612148ae110507da1f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. S. Dessai
2. J. Bergh
3. D. Nychka
4. M. Hulme
5. Tim Newbold
6. G. Kallis
7. C. Spash
8. Mikyoung Jun

In Global and Planetary Change

1. C. Tebaldi
2. Reto Knutti
3. D. Nychka
4. S. Dessai
5. L. Mearns
6. Richard L. Smith
7. J. Bergh
8. M. Hulme

Citations in the corpus

• Does climate policy need probabilities (2003, background): “" Like Moss and Schneider (2000), Toth (2000) attempted to introduce decision analysis and management frameworks (DAMFs) to the TAR, i.e., " analytical techniques aimed at synthesising available information from many segments of the climate problem in order to help policymakers assess consequences o”
• Sensitivity analysis practices: Strategies for model-based inference (2006, unknown): “framework the ‘‘sensitivity’’ studies in the Global Change community [75].”
• Optimal climate policy is a utopia: from quantitative to qualitative cost-benefit analysis (2004, background): “…tidal wave due to large ice floes on Greenland and Antarctica breaking off into the ocean; ‘runaway carbon dynamics’ caused by positive feedback mechanisms in the biosphere; and changes in climate subsystems such as the ‘El Niño Southern Oscillation’ (Easterling et al., 2000; Reilly et al., 2001).”
• Applications and limitations of museum data for conservation and ecology, with particular attention to species distribution models (2010, background): “…climate (Iverson et al., 1999; Engler et al., 2009; Mustin et al., 2009; Willis et al., 2009); third, the climate may not change as predicted (Reilly et al., 2001); and, fourth, species may adapt to the new climate rather than undergoing shifts in their distribution (Davis and Shaw, 2001;…”
• Regional probabilities of precipitation change: A Bayesian analysis of multimodel simulations (2004, methodology): “[2] The need of probabilistic assessment of climate change at regional scale has been clearly expressed in particular by the impacts research community [Reilly et al., 2001; Webster, 2003; Dessai and Hulme, 2003].”
• Quantifying Uncertainty in Projections of Regional Climate Change: A Bayesian Approach to the Analysis of Multimodel Ensembles (2005, background): “Determining probabilities of future global temperature change has flourished as a research topic in recent years (Schneider 2001; Wigley and Raper 2001; Forest et al. 2002; Allen et al. 2000).”
• Does climate adaptation policy need probabilities? (2004, background): “Parallel discussions surrounding the issue of uncertainty in climate change projections also had a forum in other journals (Allen et al., 2001; Reilly et al., 2001; Schneider, 2002).”