Scaling of Precipitation Extremes over a Wide Range of Climates Simulated with an Idealized GCM

By P. O’Gorman, Tapio Schneider. 2009

228 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/edc01ce4450e626692e6381364aa6d77444474b4

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. M. Byrne
2. P. O’Gorman
3. M. Previdi
4. Richard P. Allan
5. X. Levine
6. Tapio Schneider
7. J. Dwyer
8. S. Bordoni

In Global and Planetary Change

1. M. Byrne
2. P. O’Gorman
3. M. Previdi
4. Richard P. Allan
5. X. Levine
6. Tapio Schneider
7. J. Dwyer
8. S. Bordoni

Citations in the corpus

• The physical basis for increases in precipitation extremes in simulations of 21st-century climate change (2009, methodology): “To reduce noise, the conditional mean of the temperature Te and the upward velocity !e for a given percentile of precipitation was taken over all days and longitudes for which the precipitation lies in a finite range, chosen for the nth percentile as the range between the 100 " (3/2)(100 " n) and 10”
• Using Machine Learning to Parameterize Moist Convection: Potential for Modeling of Climate, Climate Change, and Extreme Events (2018, background): “This idealized GCM configuration (but with a simpler convection scheme) has previously been found to be useful for investigations of moist atmospheric dynamics and the response of precipitation to climate change [e.g., O’Gorman and Schneider , 2009; O’Gorman , 2011; Dwyer and O’Gorman , 2017].”
• Energetic Constraints on Precipitation Under Climate Change (2012, background): “…(Allen and Ingram 2002; Trenberth et al. 2003; Pall et al. 2007); recent results suggest that vertical gradients of specific humidity or surface specific humidities are relevant for precipitation extremes (O’Gorman and Schneider 2009a, b; Schneider et al. 2010; Muller et al. 2011; Romps 2011).”
• WATER VAPOR AND THE DYNAMICS OF CLIMATE CHANGES (2009, background): “…contrast may scale as ∆q∗ ∼ ∂pq∗|θ∗e∆p, where the saturation specific humidity derivative is taken along a moist adiabat with constant equivalent potential temperature θ∗e , and the pressure difference ∆p is taken to be fixed [Betts and Harshvardhan, 1987; O’Gorman and Schneider, 2009a, b].”