Configuration and assessment of the GISS ModelE2 contributions to the CMIP5 archive
We present a description of the ModelE2 version of the Goddard Institute for Space Studies (GISS) General Circulation Model (GCM) and the configurations used in the simulations performed for the Coupled Model Intercomparison Project Phase 5 (CMIP5). We use six variations related to the treatment of...
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| Veröffentlicht in: | Journal of advances in modeling earth systems 2014-03, Vol.6 (1), p.141-184 |
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| creator | Schmidt, Gavin A. Kelley, Max Nazarenko, Larissa Ruedy, Reto Russell, Gary L. Aleinov, Igor Bauer, Mike Bauer, Susanne E. Bhat, Maharaj K. Bleck, Rainer Canuto, Vittorio Chen, Yong‐Hua Cheng, Ye Clune, Thomas L. Del Genio, Anthony de Fainchtein, Rosalinda Faluvegi, Greg Hansen, James E. Healy, Richard J. Kiang, Nancy Y. Koch, Dorothy Lacis, Andy A. LeGrande, Allegra N. Lerner, Jean Lo, Ken K. Matthews, Elaine E. Menon, Surabi Miller, Ron L. Oinas, Valdar Oloso, Amidu O. Perlwitz, Jan P. Puma, Michael J. Putman, William M. Rind, David Romanou, Anastasia Sato, Makiko Shindell, Drew T. Sun, Shan Syed, Rahman A. Tausnev, Nick Tsigaridis, Kostas Unger, Nadine Voulgarakis, Apostolos Yao, Mao‐Sung Zhang, Jinlun |
| description | We present a description of the ModelE2 version of the Goddard Institute for Space Studies (GISS) General Circulation Model (GCM) and the configurations used in the simulations performed for the Coupled Model Intercomparison Project Phase 5 (CMIP5). We use six variations related to the treatment of the atmospheric composition, the calculation of aerosol indirect effects, and ocean model component. Specifically, we test the difference between atmospheric models that have noninteractive composition, where radiatively important aerosols and ozone are prescribed from precomputed decadal averages, and interactive versions where atmospheric chemistry and aerosols are calculated given decadally varying emissions. The impact of the first aerosol indirect effect on clouds is either specified using a simple tuning, or parameterized using a cloud microphysics scheme. We also use two dynamic ocean components: the Russell and HYbrid Coordinate Ocean Model (HYCOM) which differ significantly in their basic formulations and grid. Results are presented for the climatological means over the satellite era (1980–2004) taken from transient simulations starting from the preindustrial (1850) driven by estimates of appropriate forcings over the 20th Century. Differences in base climate and variability related to the choice of ocean model are large, indicating an important structural uncertainty. The impact of interactive atmospheric composition on the climatology is relatively small except in regions such as the lower stratosphere, where ozone plays an important role, and the tropics, where aerosol changes affect the hydrological cycle and cloud cover. While key improvements over previous versions of the model are evident, these are not uniform across all metrics.
Key Points
Description of the GISS ModelE2 contribution to CMIP5
Impact on evaluation of structural changes in composition and ocean treatment
Ocean model choice is an important structural uncertainty |
| doi_str_mv | 10.1002/2013MS000265 |
| format | Article |
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Key Points
Description of the GISS ModelE2 contribution to CMIP5
Impact on evaluation of structural changes in composition and ocean treatment
Ocean model choice is an important structural uncertainty</description><identifier>ISSN: 1942-2466</identifier><identifier>EISSN: 1942-2466</identifier><identifier>DOI: 10.1002/2013MS000265</identifier><language>eng</language><publisher>Washington: John Wiley & Sons, Inc</publisher><subject>Aerosol effects ; Aerosols ; Atmospheric chemistry ; Atmospheric composition ; Atmospheric models ; Climate change ; Climate model ; Climate variability ; Climatological means ; Climatology ; Cloud cover ; Cloud microphysics ; Clouds ; Experiments ; General circulation models ; Hydrologic cycle ; Hydrological cycle ; Intercomparison ; Lower stratosphere ; Microphysics ; Ocean models ; Oceans ; Ozone ; Physics ; Remote sensing systems ; Satellite Era ; Satellites ; Stratosphere ; Tropical environments</subject><ispartof>Journal of advances in modeling earth systems, 2014-03, Vol.6 (1), p.141-184</ispartof><rights>2014. American Geophysical Union. All Rights Reserved.</rights><rights>2014. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). 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We use six variations related to the treatment of the atmospheric composition, the calculation of aerosol indirect effects, and ocean model component. Specifically, we test the difference between atmospheric models that have noninteractive composition, where radiatively important aerosols and ozone are prescribed from precomputed decadal averages, and interactive versions where atmospheric chemistry and aerosols are calculated given decadally varying emissions. The impact of the first aerosol indirect effect on clouds is either specified using a simple tuning, or parameterized using a cloud microphysics scheme. We also use two dynamic ocean components: the Russell and HYbrid Coordinate Ocean Model (HYCOM) which differ significantly in their basic formulations and grid. Results are presented for the climatological means over the satellite era (1980–2004) taken from transient simulations starting from the preindustrial (1850) driven by estimates of appropriate forcings over the 20th Century. Differences in base climate and variability related to the choice of ocean model are large, indicating an important structural uncertainty. The impact of interactive atmospheric composition on the climatology is relatively small except in regions such as the lower stratosphere, where ozone plays an important role, and the tropics, where aerosol changes affect the hydrological cycle and cloud cover. While key improvements over previous versions of the model are evident, these are not uniform across all metrics.
Key Points
Description of the GISS ModelE2 contribution to CMIP5
Impact on evaluation of structural changes in composition and ocean treatment
Ocean model choice is an important structural uncertainty</description><subject>Aerosol effects</subject><subject>Aerosols</subject><subject>Atmospheric chemistry</subject><subject>Atmospheric composition</subject><subject>Atmospheric models</subject><subject>Climate change</subject><subject>Climate model</subject><subject>Climate variability</subject><subject>Climatological means</subject><subject>Climatology</subject><subject>Cloud cover</subject><subject>Cloud microphysics</subject><subject>Clouds</subject><subject>Experiments</subject><subject>General circulation models</subject><subject>Hydrologic cycle</subject><subject>Hydrological cycle</subject><subject>Intercomparison</subject><subject>Lower stratosphere</subject><subject>Microphysics</subject><subject>Ocean models</subject><subject>Oceans</subject><subject>Ozone</subject><subject>Physics</subject><subject>Remote sensing systems</subject><subject>Satellite Era</subject><subject>Satellites</subject><subject>Stratosphere</subject><subject>Tropical environments</subject><issn>1942-2466</issn><issn>1942-2466</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp90EFLwzAYBuAgCs7pzR8Q8OLBapIm6XIcZc6JRaF6DmmauI6umUmr7N-bOQ_Dg6fvOzy8vLwAXGJ0ixEidwThtChRfDk7AiMsKEkI5fz44D8FZyGsEOKcEzYCZe4627wPXvWN66DqaqhCMCGsTddDZ2G_NHC-KEtYuNq0MwK163rfVMPOB9i7H5EXixcGldfL5tOcgxOr2mAufu8YvN3PXvOH5Ol5vsinT4mmlGaJVZO0UraqYhWkkZ3UlZggg42qahHbacGFtpwQm3GujRBYMGF5WnGjmRE8HYPrfe7Gu4_BhF6um6BN26rOuCFIzAiliLE0i_TqD125wXexnSQkJjOBKIvqZq-0dyF4Y-XGN2vltxIjuVtYHi4cebrnX01rtv9a-TgtZiSunqXfXzB7AQ</recordid><startdate>201403</startdate><enddate>201403</enddate><creator>Schmidt, Gavin A.</creator><creator>Kelley, Max</creator><creator>Nazarenko, Larissa</creator><creator>Ruedy, Reto</creator><creator>Russell, Gary L.</creator><creator>Aleinov, 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China</collection><jtitle>Journal of advances in modeling earth systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Schmidt, Gavin A.</au><au>Kelley, Max</au><au>Nazarenko, Larissa</au><au>Ruedy, Reto</au><au>Russell, Gary L.</au><au>Aleinov, Igor</au><au>Bauer, Mike</au><au>Bauer, Susanne E.</au><au>Bhat, Maharaj K.</au><au>Bleck, Rainer</au><au>Canuto, Vittorio</au><au>Chen, Yong‐Hua</au><au>Cheng, Ye</au><au>Clune, Thomas L.</au><au>Del Genio, Anthony</au><au>de Fainchtein, Rosalinda</au><au>Faluvegi, Greg</au><au>Hansen, James E.</au><au>Healy, Richard J.</au><au>Kiang, Nancy Y.</au><au>Koch, Dorothy</au><au>Lacis, Andy A.</au><au>LeGrande, Allegra N.</au><au>Lerner, Jean</au><au>Lo, Ken K.</au><au>Matthews, Elaine E.</au><au>Menon, Surabi</au><au>Miller, Ron L.</au><au>Oinas, Valdar</au><au>Oloso, Amidu O.</au><au>Perlwitz, Jan P.</au><au>Puma, Michael J.</au><au>Putman, William M.</au><au>Rind, David</au><au>Romanou, Anastasia</au><au>Sato, Makiko</au><au>Shindell, Drew T.</au><au>Sun, Shan</au><au>Syed, Rahman A.</au><au>Tausnev, Nick</au><au>Tsigaridis, Kostas</au><au>Unger, Nadine</au><au>Voulgarakis, Apostolos</au><au>Yao, Mao‐Sung</au><au>Zhang, Jinlun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Configuration and assessment of the GISS ModelE2 contributions to the CMIP5 archive</atitle><jtitle>Journal of advances in modeling earth systems</jtitle><date>2014-03</date><risdate>2014</risdate><volume>6</volume><issue>1</issue><spage>141</spage><epage>184</epage><pages>141-184</pages><issn>1942-2466</issn><eissn>1942-2466</eissn><abstract>We present a description of the ModelE2 version of the Goddard Institute for Space Studies (GISS) General Circulation Model (GCM) and the configurations used in the simulations performed for the Coupled Model Intercomparison Project Phase 5 (CMIP5). We use six variations related to the treatment of the atmospheric composition, the calculation of aerosol indirect effects, and ocean model component. Specifically, we test the difference between atmospheric models that have noninteractive composition, where radiatively important aerosols and ozone are prescribed from precomputed decadal averages, and interactive versions where atmospheric chemistry and aerosols are calculated given decadally varying emissions. The impact of the first aerosol indirect effect on clouds is either specified using a simple tuning, or parameterized using a cloud microphysics scheme. We also use two dynamic ocean components: the Russell and HYbrid Coordinate Ocean Model (HYCOM) which differ significantly in their basic formulations and grid. Results are presented for the climatological means over the satellite era (1980–2004) taken from transient simulations starting from the preindustrial (1850) driven by estimates of appropriate forcings over the 20th Century. Differences in base climate and variability related to the choice of ocean model are large, indicating an important structural uncertainty. The impact of interactive atmospheric composition on the climatology is relatively small except in regions such as the lower stratosphere, where ozone plays an important role, and the tropics, where aerosol changes affect the hydrological cycle and cloud cover. While key improvements over previous versions of the model are evident, these are not uniform across all metrics.
Key Points
Description of the GISS ModelE2 contribution to CMIP5
Impact on evaluation of structural changes in composition and ocean treatment
Ocean model choice is an important structural uncertainty</abstract><cop>Washington</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1002/2013MS000265</doi><tpages>44</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1942-2466 |
| ispartof | Journal of advances in modeling earth systems, 2014-03, Vol.6 (1), p.141-184 |
| issn | 1942-2466 1942-2466 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1524405537 |
| source | Wiley-Blackwell Open Access Titles |
| subjects | Aerosol effects Aerosols Atmospheric chemistry Atmospheric composition Atmospheric models Climate change Climate model Climate variability Climatological means Climatology Cloud cover Cloud microphysics Clouds Experiments General circulation models Hydrologic cycle Hydrological cycle Intercomparison Lower stratosphere Microphysics Ocean models Oceans Ozone Physics Remote sensing systems Satellite Era Satellites Stratosphere Tropical environments |
| title | Configuration and assessment of the GISS ModelE2 contributions to the CMIP5 archive |
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