CMIP5 multimodel ensemble projection of storm track change under global warming

By E. Chang, Yanjuan Guo, X. Xia. 2012

355 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/edd47fa04072cb169dc233b0af512de6a9194ec8

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

1. Andrew Gettelman
2. Richard B. Neale
3. J. Richter
4. R. Garcia
5. D. Hartmann
6. D. Marsh
7. P. Ceppi
8. Peter H. Lauritzen

In Global and Planetary Change

1. Andrew Gettelman
2. Richard B. Neale
3. P. Ceppi
4. D. Hartmann
5. J. Richter
6. R. Garcia
7. Peter H. Lauritzen
8. D. Marsh

Citations in the corpus

• Connections Between Clouds, Radiation, and Midlatitude Dynamics: a Review (2015, background): “However, projected storminess changes in CMIP5 are robustly positive only in the SH [35].”
• Extreme Precipitation Indices over China in CMIP5 Models. Part II: Probabilistic Projection (2016, background): “…of climate change in the future (Sillmann et al. 2013; Kharin et al. 2013; Thibeault and Seth 2014; Swain and Hayhoe 2015), because an MME can reduce the uncertainties and increase the reliability of prediction (Shongwe et al. 2009; Chang et al. 2012; Gao et al. 2012; Villarini and Vecchi 2012).”
• Extreme cyclone events in the Arctic: Wintertime variability and trends (2017, methodology): “Previous studies on extreme Arctic cyclones have focused almost exclusively on the annual or seasonal means [Sepp and Jaagus 2011, Chang et al 2012, Vavrus 2013].”
• An Evaluation of the Large‐Scale Atmospheric Circulation and Its Variability in CESM2 and Other CMIP Models (2020, methodology): “…jet stream that is too far south during the winter (Barnes & Polvani, 2013; Delcambre et al., 2013; Woollings & Blackburn, 2011) and a general tendency toward storm tracks that are too weak in summer and winter, both in terms of cyclone number and intensity (Chang et al., 2012; Zappa et al., 2013).”
• A Diagnosis of the Seasonally and Longitudinally Varying Midlatitude Circulation Response to Global Warming (2014, background): “…anomalies onto the dominant modes of variability (e.g., the northern or southern annular modes) (e.g., Miller et al. 2006; Previdi and Liepert 2007; Woollings and Blackburn 2012; Gillett and Fyfe 2013), or 3) trends in diagnostics related to storm-track activity (e.g., Yin 2005; Chang et al. 2012).”