TY - JOUR
T1 - Future Global Convective Environments in CMIP6 Models
AU - Lepore, Chiara
AU - Abernathey, Ryan
AU - Henderson, Naomi
AU - Allen, John T.
AU - Tippett, Michael K.
N1 - Funding Information:
C. Lepore acknowledges support from the Willis Research Network and the NSF EarthCube (NSF ‐ OCE 17‐40648) grant. R. Abernathey acknowledges support from the NSF EarthCube (NSF ‐ OCE 17‐40648). N. Henderson acknowledges support from the NSF EarthCube (NSF ‐ ICER 20‐26932). J. Allen acknowledges support from the NSF (AGS‐1945286). M. Tippett also acknowledges funding by the Willis Research Network. The authors acknowledge the World Climate Research Programme, which, through its Working Group on Coupled Modelling, coordinated and promoted CMIP6. They thank the climate modeling groups for producing and making available their model output, the Earth System Grid Federation (ESGF) for archiving the data and providing access, and the multiple funding agencies who support CMIP6 and ESGF. They thank Prasad Gunturi (Willis Tower Watson) and Geoffrey Saville (Willis Tower Watson) for the many useful discussions. They thank the reviewers for their helpful contributions.
Funding Information:
C. Lepore acknowledges support from the Willis Research Network and the NSF EarthCube (NSF - OCE 17-40648) grant. R. Abernathey acknowledges support from the NSF EarthCube (NSF - OCE 17-40648). N. Henderson acknowledges support from the NSF EarthCube (NSF - ICER 20-26932). J. Allen acknowledges support from the NSF (AGS-1945286). M. Tippett also acknowledges funding by the Willis Research Network. The authors acknowledge the World Climate Research Programme, which, through its Working Group on Coupled Modelling, coordinated and promoted CMIP6. They thank the climate modeling groups for producing and making available their model output, the Earth System Grid Federation (ESGF) for archiving the data and providing access, and the multiple funding agencies who support CMIP6 and ESGF. They thank Prasad Gunturi (Willis Tower Watson) and Geoffrey Saville (Willis Tower Watson) for the many useful discussions. They thank the reviewers for their helpful contributions.
Publisher Copyright:
© 2021 The Authors. Earth's Future published by Wiley Periodicals LLC on behalf of American Geophysical Union.
PY - 2021/12
Y1 - 2021/12
N2 - The response of severe convective storms to a warming climate is poorly understood outside of a few well studied regions. Here, projections from seven global climate models from the CMIP6 archive, for both historical and future scenarios, are used to explore the global response in variables that describe favorability of conditions for the development of severe storms. The variables include convective available potential energy (CAPE), convection inhibition (CIN), 0–6 km vertical wind shear (S06), storm relative helicity (SRH), and covariate indices (i.e., severe weather proxies) that combine them. To better quantify uncertainty, understand variable sensitivity to increasing temperature, and present results independent from a specific scenario, we consider changes in convective variables as a function of global average temperature increase across each ensemble member. Increases to favorable convective environments show an overall frequency increases on the order of 5%–20% per °C of global temperature increase, but are not regionally uniform, with higher latitudes, particularly in the Northern Hemisphere, showing much larger relative changes. The driving mechanism of these changes is a strong increase in CAPE that is not offset by factors that either resist convection (CIN), or modify the likelihood of storm organization (S06, SRH). Severe weather proxies are not the same as severe weather events. Hence, their projected increases will not necessarily translate to severe weather occurrences, but they allow us to quantify how increases in global temperature will affect the occurrence of conditions favorable to severe weather.
AB - The response of severe convective storms to a warming climate is poorly understood outside of a few well studied regions. Here, projections from seven global climate models from the CMIP6 archive, for both historical and future scenarios, are used to explore the global response in variables that describe favorability of conditions for the development of severe storms. The variables include convective available potential energy (CAPE), convection inhibition (CIN), 0–6 km vertical wind shear (S06), storm relative helicity (SRH), and covariate indices (i.e., severe weather proxies) that combine them. To better quantify uncertainty, understand variable sensitivity to increasing temperature, and present results independent from a specific scenario, we consider changes in convective variables as a function of global average temperature increase across each ensemble member. Increases to favorable convective environments show an overall frequency increases on the order of 5%–20% per °C of global temperature increase, but are not regionally uniform, with higher latitudes, particularly in the Northern Hemisphere, showing much larger relative changes. The driving mechanism of these changes is a strong increase in CAPE that is not offset by factors that either resist convection (CIN), or modify the likelihood of storm organization (S06, SRH). Severe weather proxies are not the same as severe weather events. Hence, their projected increases will not necessarily translate to severe weather occurrences, but they allow us to quantify how increases in global temperature will affect the occurrence of conditions favorable to severe weather.
UR - http://www.scopus.com/inward/record.url?scp=85121650039&partnerID=8YFLogxK
U2 - 10.1029/2021EF002277
DO - 10.1029/2021EF002277
M3 - Article
AN - SCOPUS:85121650039
SN - 2328-4277
VL - 9
JO - Earth's Future
JF - Earth's Future
IS - 12
M1 - e2021EF002277
ER -