On the lack of stratospheric dynamical variability in low‐top versions of the CMIP5 models

By A. Charlton-Perez, M. Baldwin, T. Birner, R. Black, A. Butler, N. Calvo, N. Davis, E. Gerber, N. Gillett, S. Hardiman and 18 more. 2013

315 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/baccf828ce2cd2315a64f686c154745fb6fe6fff

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. A. Butler
2. E. Manzini
3. T. Mauritsen
4. L. Harris
5. C. Garfinkel
6. Bjorn Stevens
7. D. Domeisen
8. Shian‐Jiann Lin

In Global and Planetary Change

1. A. Butler
2. E. Manzini
3. T. Mauritsen
4. C. Garfinkel
5. Bjorn Stevens
6. D. Domeisen
7. L. Harris
8. Shian‐Jiann Lin

Citations in the corpus

• Global Mean Climate and Main Patterns of Variability in the CMCC‐CM2 Coupled Model (2018, methodology): “Following CMIP5 models classification of low-top and high-top models as in Charlton-Perez et al. (2013), CMCC-CM2 would belong to the upper bound of low-top models.”
• Sudden Stratospheric Warmings (2020, background): “It should be noted that the CP07 metric was developed during a time when the increased availability of global climate model simulations necessitated the evaluation of the model stratosphere in large gridded data sets (Charlton-Perez et al., 2013).”
• ICON‐A, the Atmosphere Component of the ICON Earth System Model: I. Model Description (2018, background): “While the former is considered in virtually all atmosphere general circulation models, the latter is typically included only in models with tops above the stratopause (Charlton-Perez et al., 2013) and is usually referred to as nonorographic gravity wave parameterization.”
• The Norwegian Earth System Model, NorESM1-M – Part 1: Description and basic evaluation of the physical climate (2013, background): “A cold bias in this region is also prominent in the CMIP5 ensemble mean (Charlton-Perez et al., 2013).”
• The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 1. Simulation Characteristics With Prescribed SSTs (2018, background): “0 (Charlton-Perez et al., 2013; Hardiman et al., 2012; Shaw & Perlwitz, 2010), it is of interest to see the extent to which this choice has compromised model performance in this regard.”
• An overview of the Earth system science of solar geoengineering (2016, background): “To simulate the effects of SAI requires a model that has a thorough treatment not only of climate processes and feedbacks, but also of stratospheric chemistry and aerosol microphysics, with an upper model boundary that is sufficiently high to completely resolve the stratospheric circulation.(92) Sop”