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author Maxwell Kelley
Gavin A. Schmidt
Larissa S. Nazarenko
Susanne E. Bauer
Reto Ruedy
Gary L. Russell
Andrew S. Ackerman
Igor Aleinov
Michael Bauer
Rainer Bleck
Vittorio Canuto
Grégory Cesana
Ye Cheng
Thomas L. Clune
Ben I. Cook
Carlos A. Cruz
Anthony D. Del Genio
Gregory S. Elsaesser
Greg Faluvegi
Nancy Y. Kiang
Daehyun Kim
Andrew A. Lacis
Anthony Leboissetier
Allegra N. LeGrande
Ken K. Lo
John Marshall
Elaine E. Matthews
Sonali McDermid
Keren Mezuman
Ron L. Miller
Lee T. Murray
Valdar Oinas
Clara Orbe
Carlos Pérez García‐Pando
Jan P. Perlwitz
Michael J. Puma
David Rind
Anastasia Romanou
Drew T. Shindell
Shan Sun
Nick Tausnev
Kostas Tsigaridis
George Tselioudis
Ensheng Weng
Jingbo Wu
Mao‐Sung Yao
author_facet Maxwell Kelley
Gavin A. Schmidt
Larissa S. Nazarenko
Susanne E. Bauer
Reto Ruedy
Gary L. Russell
Andrew S. Ackerman
Igor Aleinov
Michael Bauer
Rainer Bleck
Vittorio Canuto
Grégory Cesana
Ye Cheng
Thomas L. Clune
Ben I. Cook
Carlos A. Cruz
Anthony D. Del Genio
Gregory S. Elsaesser
Greg Faluvegi
Nancy Y. Kiang
Daehyun Kim
Andrew A. Lacis
Anthony Leboissetier
Allegra N. LeGrande
Ken K. Lo
John Marshall
Elaine E. Matthews
Sonali McDermid
Keren Mezuman
Ron L. Miller
Lee T. Murray
Valdar Oinas
Clara Orbe
Carlos Pérez García‐Pando
Jan P. Perlwitz
Michael J. Puma
David Rind
Anastasia Romanou
Drew T. Shindell
Shan Sun
Nick Tausnev
Kostas Tsigaridis
George Tselioudis
Ensheng Weng
Jingbo Wu
Mao‐Sung Yao
author_sort Maxwell Kelley
collection DOAJ
description Abstract This paper describes the GISS‐E2.1 contribution to the Coupled Model Intercomparison Project, Phase 6 (CMIP6). This model version differs from the predecessor model (GISS‐E2) chiefly due to parameterization improvements to the atmospheric and ocean model components, while keeping atmospheric resolution the same. Model skill when compared to modern era climatologies is significantly higher than in previous versions. Additionally, updates in forcings have a material impact on the results. In particular, there have been specific improvements in representations of modes of variability (such as the Madden‐Julian Oscillation and other modes in the Pacific) and significant improvements in the simulation of the climate of the Southern Oceans, including sea ice. The effective climate sensitivity to 2 × CO2 is slightly higher than previously at 2.7–3.1°C (depending on version) and is a result of lower CO2 radiative forcing and stronger positive feedbacks.
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spelling doaj.art-ecf4ce1962364c3d81fd80062bfcdb902022-12-21T20:38:02ZengAmerican Geophysical Union (AGU)Journal of Advances in Modeling Earth Systems1942-24662020-08-01128n/an/a10.1029/2019MS002025GISS‐E2.1: Configurations and ClimatologyMaxwell Kelley0Gavin A. Schmidt1Larissa S. Nazarenko2Susanne E. Bauer3Reto Ruedy4Gary L. Russell5Andrew S. Ackerman6Igor Aleinov7Michael Bauer8Rainer Bleck9Vittorio Canuto10Grégory Cesana11Ye Cheng12Thomas L. Clune13Ben I. Cook14Carlos A. Cruz15Anthony D. Del Genio16Gregory S. Elsaesser17Greg Faluvegi18Nancy Y. Kiang19Daehyun Kim20Andrew A. Lacis21Anthony Leboissetier22Allegra N. LeGrande23Ken K. Lo24John Marshall25Elaine E. Matthews26Sonali McDermid27Keren Mezuman28Ron L. Miller29Lee T. Murray30Valdar Oinas31Clara Orbe32Carlos Pérez García‐Pando33Jan P. Perlwitz34Michael J. Puma35David Rind36Anastasia Romanou37Drew T. Shindell38Shan Sun39Nick Tausnev40Kostas Tsigaridis41George Tselioudis42Ensheng Weng43Jingbo Wu44Mao‐Sung Yao45SciSpace LLC New York NY USANASA Goddard Institute for Space Studies New York NY USANASA Goddard Institute for Space Studies New York NY USANASA Goddard Institute for Space Studies New York NY USASciSpace LLC New York NY USANASA Goddard Institute for Space Studies New York NY USASciSpace LLC New York NY USANASA Goddard Institute for Space Studies New York NY USANASA Goddard Institute for Space Studies New York NY USACIRES University of Colorado Boulder Boulder CO USANASA Goddard Institute for Space Studies New York NY USANASA Goddard Institute for Space Studies New York NY USANASA Goddard Institute for Space Studies New York NY USAGoddard Space Flight Center Greenbelt MD USANASA Goddard Institute for Space Studies New York NY USAGoddard Space Flight Center Greenbelt MD USANASA Goddard Institute for Space Studies New York NY USANASA Goddard Institute for Space Studies New York NY USANASA Goddard Institute for Space Studies New York NY USANASA Goddard Institute for Space Studies New York NY USADepartment of Atmospheric Sciences University of Washington Seattle WA USANASA Goddard Institute for Space Studies New York NY USASciSpace LLC New York NY USANASA Goddard Institute for Space Studies New York NY USASciSpace LLC New York NY USADepartment of Earth, Atmospheric and Planetary Sciences Massachusetts Institute of Technology Cambridge MA USANASA Goddard Institute for Space Studies New York NY USADepartment of Environmental Studies New York University New York NY USANASA Goddard Institute for Space Studies New York NY USANASA Goddard Institute for Space Studies New York NY USADepartment of Earth and Environmental Sciences University of Rochester Rochester NY USASciSpace LLC New York NY USANASA Goddard Institute for Space Studies New York NY USABarcelona Supercomputing Center Barcelona SpainNASA Goddard Institute for Space Studies New York NY USANASA Goddard Institute for Space Studies New York NY USANASA Goddard Institute for Space Studies New York NY USANASA Goddard Institute for Space Studies New York NY USANicholas School of the Environment Duke University Durham NC USANOAA/ESRL/Global Systems Laboratory Boulder CO USASciSpace LLC New York NY USANASA Goddard Institute for Space Studies New York NY USANASA Goddard Institute for Space Studies New York NY USANASA Goddard Institute for Space Studies New York NY USANASA Goddard Institute for Space Studies New York NY USASciSpace LLC New York NY USAAbstract This paper describes the GISS‐E2.1 contribution to the Coupled Model Intercomparison Project, Phase 6 (CMIP6). This model version differs from the predecessor model (GISS‐E2) chiefly due to parameterization improvements to the atmospheric and ocean model components, while keeping atmospheric resolution the same. Model skill when compared to modern era climatologies is significantly higher than in previous versions. Additionally, updates in forcings have a material impact on the results. In particular, there have been specific improvements in representations of modes of variability (such as the Madden‐Julian Oscillation and other modes in the Pacific) and significant improvements in the simulation of the climate of the Southern Oceans, including sea ice. The effective climate sensitivity to 2 × CO2 is slightly higher than previously at 2.7–3.1°C (depending on version) and is a result of lower CO2 radiative forcing and stronger positive feedbacks.https://doi.org/10.1029/2019MS002025General Circulation Modelclimate changeCMIP6NASA GISS
spellingShingle Maxwell Kelley
Gavin A. Schmidt
Larissa S. Nazarenko
Susanne E. Bauer
Reto Ruedy
Gary L. Russell
Andrew S. Ackerman
Igor Aleinov
Michael Bauer
Rainer Bleck
Vittorio Canuto
Grégory Cesana
Ye Cheng
Thomas L. Clune
Ben I. Cook
Carlos A. Cruz
Anthony D. Del Genio
Gregory S. Elsaesser
Greg Faluvegi
Nancy Y. Kiang
Daehyun Kim
Andrew A. Lacis
Anthony Leboissetier
Allegra N. LeGrande
Ken K. Lo
John Marshall
Elaine E. Matthews
Sonali McDermid
Keren Mezuman
Ron L. Miller
Lee T. Murray
Valdar Oinas
Clara Orbe
Carlos Pérez García‐Pando
Jan P. Perlwitz
Michael J. Puma
David Rind
Anastasia Romanou
Drew T. Shindell
Shan Sun
Nick Tausnev
Kostas Tsigaridis
George Tselioudis
Ensheng Weng
Jingbo Wu
Mao‐Sung Yao
GISS‐E2.1: Configurations and Climatology
Journal of Advances in Modeling Earth Systems
General Circulation Model
climate change
CMIP6
NASA GISS
title GISS‐E2.1: Configurations and Climatology
title_full GISS‐E2.1: Configurations and Climatology
title_fullStr GISS‐E2.1: Configurations and Climatology
title_full_unstemmed GISS‐E2.1: Configurations and Climatology
title_short GISS‐E2.1: Configurations and Climatology
title_sort giss e2 1 configurations and climatology
topic General Circulation Model
climate change
CMIP6
NASA GISS
url https://doi.org/10.1029/2019MS002025
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