Warming asymmetry in climate change simulations
By G. Flato, George J. Boer. 2001
535 citations recorded by the source corpus.
Subfields: Atmospheric Science, Environmental Chemistry, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/cae2d8810c4b4dd44636e90924059f1158020c7f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- C. Sáenz-Romero
- R. R. Guzmán-Reyna
- J. Heino
- Christel Prudhomme
- Jeffrey Scott Evans
- René Laprise
- H. Davies
- M. Warwell
In Environmental Chemistry
- C. Sáenz-Romero
- R. R. Guzmán-Reyna
- J. Heino
- Christel Prudhomme
- Jeffrey Scott Evans
- René Laprise
- H. Davies
- M. Warwell
In Global and Planetary Change
- C. Sáenz-Romero
- R. R. Guzmán-Reyna
- J. Heino
- Christel Prudhomme
- Jeffrey Scott Evans
- René Laprise
- H. Davies
- M. Warwell
Citations in the corpus
- Assessing uncertainties in climate change impact analyses on the river flow regimes in the UK. Part 2: future climate (2009, methodology): “Based on the availability of their output model runs at the daily time scale, outputs from three GCMs were downscaled by SDSM: HadCM3 from the Hadley Centre for Climate Prediction Research (Gordon et al. 2000), CGCM2 from the Canadian Center for Climate Modelling and Analysis ( Flato and Boer 2001 )”
- Potential impacts of climate change on the distributions of several common and rare freshwater fishes in Canada (2005, background): “Climate warming is expected to be greater in the northern rather than in the southern regions of Canada (Flato & Boer, 2001).”
- Empirical Analyses of Plant‐Climate Relationships for the Western United States (2006, methodology): “…1990) of the International Panel on Climate Change (IPCC 2001) was summarized from general circulation models (GCMs) produced by the Hadley Centre (HadCM3GGa1; Gordon et al. 2000) and the Canadian Centre for Climate Modeling and Analysis (CGCM2_ghga; Flato and Boer 2001) for the region of study.”
- N–PLS regression as empirical downscaling tool in climate change studies (2005, unknown): “2 Gordon and O’Farrel (1997) CCC=CGM2 1951–2100 3.”
- Climate and socio-economic scenarios for global-scale climate change impacts assessments: characterising the SRES storylines (2004, unknown): “The quantified SRES emission scenarios have subsequently been used as inputs to climate change experiments conducted by several modelling groups (Dai et al., 2001; Flato and Boer, 2001; Johns et al., 2003; Noda et al., 2001; Nozawa et al., 2001; Stendel et al., 2000; Washington et al., 2000).”
- Altitudinal genetic variation among Pinus oocarpa populations in Michoacán, Mexico: Implications for seed zoning, conservation, tree breeding and global warming (2006, methodology): “Analysis of variance detected significant differences ( p = 0.0368) among populations, amounting to 3.3% of total variance (Table 2).”
- The impact of climate change on Caribbean tourism demand (2010, methodology): “The database summarises projections from four models: (1) the Canadian Centre for Climate Modelling and Analysis Coupled Global Climate Model, CGCM2 (Flato & Boer, 2001), (2) Australia’s Commonwealth Scientific and Industrial Research Organisation, CSIRO2 (CSIRO, 1996), (3) Parallel Climate Model (W”
- Climate change and freshwater biodiversity: detected patterns, future trends and adaptations in northern regions (2009, background): “In this regard, high-latitude regions may be expected to experience even more dramatic warming, with up to 10oC increases in temperature projected for high-latitude regions (Flato & Boer, 2001; ACIA, 2005).”
- Regional climate modelling (2008, methodology): “Recently the CGCM2 large values of spatially varying soil water capacity have been decreased and set to a constant value of 10 cm in CRCM [81], which improves the representation of summertime surface fluxes (evaporation and precipitation) over land and shortens the time to freeze the ground in the a”