Pattern Scaling: An Examination of the Accuracy of the Technique for Describing Future Climates
By T. Mitchell. 2003
415 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/8fb5d7bb378b5d61f02dec2dc4d21c17564f4d64
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
- Gerald A. Meehl
- I. Held
- Jouni Raäisaänen
- Keywan Riahi
- Steven J. Smith
- John P. Weyant
- S. Solomon
In Management Science and Operations Research
- Reto Knutti
- John P. Weyant
- Esteban Rossi-Hansberg
- Jouni Raäisaänen
- Mette Termansen
- D. V. van Vuuren
- Gerald A. Meehl
- Keywan Riahi
Citations in the corpus
- “Vulnerability hotspots”: Integrating socio-economic and hydrological models to identify where cereal production may decline in the future due to climate change induced drought (2013, methodology): “…scenarios were created using ClimGen (Mitchell and Osborn, 2005), a spatial climate scenario generator that uses the pattern-scaling approach (Mitchell, 2003) to generate downscaled spatial climate change information for a given GCM (in this case HadCM3), following the procedures outlined by…”
- Irreversible climate change due to carbon dioxide emissions (2009, background): “Changes in precipitation are expected (5, 20, 30) to scale approximately linearly with increasing warming (see Fig.”
- How reliable are climate models? (2007, background): “First, model simulations suggest that the magnitude of regional climate changes increases quasi-linearly with the change in global mean temperature (e.g. Santer et al., 1990; Mitchell et al., 1999; Huntingford and Cox, 2000; Mitchell, 2003; Harvey, 2004), at least for forcing scenarios dominated by ”
- Climate Models: An Assessment of Strengths and Limitations (2008, background): “They calculated the ratio of the change in heat flux (from the surface to the deep ocean) to the change in temperature (Gregory and Mitchell 1997) and found in general that models with lower oceanuptake efficiency had lower climate sensitivity, as expected (Hansen et al. 1985; Wigley and Schlesinger”
- The Economic Geography of Global Warming (2021, methodology): “We follow Mitchell (2003), who argues that a linear down-scaling relationship provides accurate results.”
- The next generation of scenarios for climate change research and assessment (2010, methodology): “‘Pattern-scaling’ methods, which use the outcomes of simple climate models to scale the patterns of climate change produced by complex climate models to correspond to different emissions scenarios, will be further evaluated and developed 53,54 .”