Wendy S. Parker

Global and Planetary Change · 2009–2020

A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 29 citations into it; #4,030 of 10,225 by trust here, #7,466 by citations
• Atmospheric Science — 21 citations into it; #2,196 of 4,804 by trust here, #3,801 by citations
• Management Science and Operations Research — 5 citations into it; #11,522 of 11,946 by trust here, #11,755 by citations

Whom Wendy S. Parker trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Reto Knutti
2. C. Tebaldi
3. P. Gleckler
4. K. Taylor
5. Stefano Schiavon
6. Anthony J. Jakeman
7. D. Stainforth
8. W. Landman
9. Eugenia Kalnay
10. Ronald N. Giere

Who trusts Wendy S. Parker overall

1. B. Sanderson
2. John F. Symons
3. Reto Knutti
4. Elisabeth A. Lloyd
5. Boaz Miller
6. Charlie Wilson

Papers from Wendy S. Parker's perspective

Ordered by how strongly the researchers Wendy S. Parker trusts endorse each paper. Same corpus, a different order for every researcher.

1. Ten iterative steps in development and evaluation of environmental models (Environmental Modelling & Software)
2. Climate change 2007 : the physical science basis : contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change
3. THE WCRP CMIP3 Multimodel Dataset: A New Era in Climate Change Research
4. Quantification of modelling uncertainties in a large ensemble of climate change simulations (Nature)
5. The use of the multi-model ensemble in probabilistic climate projections (Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences)
6. Performance metrics for climate models
7. Multivariate Bayesian analysis of atmosphere–ocean general circulation models (Environmental and Ecological Statistics)
8. An overview of CMIP5 and the experiment design
9. Quantifying Uncertainty in Projections of Regional Climate Change: A Bayesian Approach to the Analysis of Multimodel Ensembles
10. The rationale behind the success of multi-model ensembles in seasonal forecasting — I. Basic concept

Their papers

• Model Evaluation: An Adequacy-for-Purpose View (2020) — 203 citations
• Ensemble modeling, uncertainty and robust predictions (2013) — 222 citations
• When Climate Models Agree: The Significance of Robust Model Predictions* (2011) — 154 citations
• II—Wendy S. Parker: Confirmation and adequacy-for-Purpose in Climate Modelling (2009) — 129 citations