Spatial Analysis to Quantify Numerical Model Bias and Dependence
By Mikyoung Jun, Reto Knutti, D. Nychka. 2008
251 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/afea1585d6ab0160a113412f0d5842d3cfd76351
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Global and Planetary Change
- Reto Knutti
- Mikyoung Jun
- David Masson
- J. Annan
- J. Hargreaves
- C. Tebaldi
- Martin Schlather
- Reinhard Furrer
In Management Science and Operations Research
- Reto Knutti
- David Masson
- Mikyoung Jun
- C. Tebaldi
- Reinhard Furrer
- J. Annan
- Tilmann Gneiting
- William Kleiber
Citations in the corpus
- Challenges in Combining Projections from Multiple Climate Models (2010, methodology): “For the present-day state, sophisticated statistical methods also suggest that the equivalent number of independent models in CMIP3 is much smaller than the total number of models (Jun et al. 2008a,b).”
- Non‐stationary Cross‐Covariance Models for Multivariate Processes on a Globe (2011, methodology): “The temperature output from this model, CCSM3, has also been analysed by Jun et al. (2008) but they consider the differences between the observations and numerical model outputs and they only look at the latitude range of 50◦ S–50◦ N on a coarser grid resolution (of 5◦ × 5◦).”
- Reliability of the CMIP3 ensemble (2010, background): “In practice, however, the correlations are for the most part strongly positive [Jun et al., 2008].”
- Climate model genealogy (2011, result): “…models, supporting earlier claims that the effective number of independent models is smaller than the actual number of models in the multi model ensemble [Pirtle et al., 2010; Pennell and Reichler, 2011; Jun et al., 2008b; Tebaldi and Knutti, 2007; Knutti, 2008; Knutti et al., 2010b; Knutti, 2010].”
- Matérn Cross-Covariance Functions for Multivariate Random Fields (2010, background): “…quality (Brown, Le, and Zidek 1994; Schmidt and Gelfand 2003) to weather forecasting (Rabier et al. 1998; Reich and Fuentes 2007), climate change (Jun, Knutti, and Nychka 2008), ecology (Royle and Berliner 1999), forestry (Finley et al. 2008), and economics (Gelfand et al. 2004; Sain and Cressie…”