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Your search keyword '"Ruedy, Reto"' showing total 8 results
Start Over Author "Ruedy, Reto" Journal journal of advances in modeling earth systems
8 results on '"Ruedy, Reto"'

1. Future Climate Change Under SSP Emission Scenarios With GISS‐E2.1

Author

Nazarenko, Larissa S., primary, Tausnev, Nick, additional, Russell, Gary L., additional, Rind, David, additional, Miller, Ron L., additional, Schmidt, Gavin A., additional, Bauer, Susanne E., additional, Kelley, Maxwell, additional, Ruedy, Reto, additional, Ackerman, Andrew S., additional, Aleinov, Igor, additional, Bauer, Michael, additional, Bleck, Rainer, additional, Canuto, Vittorio, additional, Cesana, Grégory, additional, Cheng, Ye, additional, Clune, Thomas L., additional, Cook, Ben I., additional, Cruz, Carlos A., additional, Del Genio, Anthony D., additional, Elsaesser, Gregory S., additional, Faluvegi, Greg, additional, Kiang, Nancy Y., additional, Kim, Daehyun, additional, Lacis, Andrew A., additional, Leboissetier, Anthony, additional, LeGrande, Allegra N., additional, Lo, Ken K., additional, Marshall, John, additional, Matthews, Elaine E., additional, McDermid, Sonali, additional, Mezuman, Keren, additional, Murray, Lee T., additional, Oinas, Valdar, additional, Orbe, Clara, additional, García‐Pando, Carlos Pérez, additional, Perlwitz, Jan P., additional, Puma, Michael J., additional, Romanou, Anastasia, additional, Shindell, Drew T., additional, Sun, Shan, additional, Tsigaridis, Kostas, additional, Tselioudis, George, additional, Weng, Ensheng, additional, Wu, Jingbo, additional, and Yao, Mao‐Sung, additional

Published
2022
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3. Configuration and Assessment of the GISS ModelE2 Contributions to the CMIP5 Archive

Author

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, Clune, Thomas L, Fainchtein, Rosalinda de, Genio, Anthony Del, Kiang, Nancy Y, Lacis, Andy A, LeGrande, Allegra N, Matthews, Elaine E, Miller, Ron L, Oloso, Amidu O, Putman, William M, Rind, David, Shindell, Drew T, Syed, Rahman A, and Zhang, Jinlun

Subjects
Meteorology And Climatology, Geophysics
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.

Published
2014
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4. CMIP5 Historical Simulations (1850-2012) with GISS ModelE2

Author

Miller, Ronald Lindsay, Schmidt, Gavin A, Nazarenko, Larissa S, Tausnev, Nick, Bauer, Susanne E, DelGenio, Anthony D, Kelley, Max, Lo, Ken K, Ruedy, Reto, Shindell, Drew T, Aleinov, Igor, Bauer, Mike, Bleck, Rainer, Canuto, Vittorio, Chen, Yonghua, Cheng, Ye, Clune, Thomas L, Faluvegi, Greg, Healy, Richard J, Kiang, Nancy Y, Lacis, Andy A, LeGrande, Allegra N, Lerner, Jean, Rind, David, and Russell, Gary L

Subjects
Meteorology And Climatology
Abstract

Observations of climate change during the CMIP5 extended historical period (1850-2012) are compared to trends simulated by six versions of the NASA Goddard Institute for Space Studies ModelE2 Earth System Model. The six models are constructed from three versions of the ModelE2 atmospheric general circulation model, distinguished by their treatment of atmospheric composition and the aerosol indirect effect, combined with two ocean general circulation models, HYCOM and Russell. Forcings that perturb the model climate during the historical period are described. Five-member ensemble averages from each of the six versions of ModelE2 simulate trends of surface air temperature, atmospheric temperature, sea ice and ocean heat content that are in general agreement with observed trends, although simulated warming is slightly excessive within the past decade. Only simulations that include increasing concentrations of long-lived greenhouse gases match the warming observed during the twentieth century. Differences in twentieth-century warming among the six model versions can be attributed to differences in climate sensitivity, aerosol and ozone forcing, and heat uptake by the deep ocean. Coupled models with HYCOM export less heat to the deep ocean, associated with reduced surface warming in regions of deepwater formation, but greater warming elsewhere at high latitudes along with reduced sea ice. All ensembles show twentieth-century annular trends toward reduced surface pressure at southern high latitudes and a poleward shift of the midlatitude westerlies, consistent with observations.

Published
2014
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5. CMIP6 Historical Simulations (1850–2014) With GISS‐E2.1

Author

Miller, Ron L., primary, Schmidt, Gavin A., additional, Nazarenko, Larissa S., additional, Bauer, Susanne E., additional, Kelley, Maxwell, additional, Ruedy, Reto, additional, Russell, Gary L., additional, Ackerman, Andrew S., additional, Aleinov, Igor, additional, Bauer, Michael, additional, Bleck, Rainer, additional, Canuto, Vittorio, additional, Cesana, Grégory, additional, Cheng, Ye, additional, Clune, Thomas L., additional, Cook, Ben I., additional, Cruz, Carlos A., additional, Del Genio, Anthony D., additional, Elsaesser, Gregory S., additional, Faluvegi, Greg, additional, Kiang, Nancy Y., additional, Kim, Daehyun, additional, Lacis, Andrew A., additional, Leboissetier, Anthony, additional, LeGrande, Allegra N., additional, Lo, Ken K., additional, Marshall, John, additional, Matthews, Elaine E., additional, McDermid, Sonali, additional, Mezuman, Keren, additional, Murray, Lee T., additional, Oinas, Valdar, additional, Orbe, Clara, additional, Pérez García‐Pando, Carlos, additional, Perlwitz, Jan P., additional, Puma, Michael J., additional, Rind, David, additional, Romanou, Anastasia, additional, Shindell, Drew T., additional, Sun, Shan, additional, Tausnev, Nick, additional, Tsigaridis, Kostas, additional, Tselioudis, George, additional, Weng, Ensheng, additional, Wu, Jingbo, additional, and Yao, Mao‐Sung, additional

Published
2021
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7. GISS‐E2.1: Configurations and Climatology

Author

Kelley, Maxwell, primary, Schmidt, Gavin A., additional, Nazarenko, Larissa S., additional, Bauer, Susanne E., additional, Ruedy, Reto, additional, Russell, Gary L., additional, Ackerman, Andrew S., additional, Aleinov, Igor, additional, Bauer, Michael, additional, Bleck, Rainer, additional, Canuto, Vittorio, additional, Cesana, Grégory, additional, Cheng, Ye, additional, Clune, Thomas L., additional, Cook, Ben I., additional, Cruz, Carlos A., additional, Del Genio, Anthony D., additional, Elsaesser, Gregory S., additional, Faluvegi, Greg, additional, Kiang, Nancy Y., additional, Kim, Daehyun, additional, Lacis, Andrew A., additional, Leboissetier, Anthony, additional, LeGrande, Allegra N., additional, Lo, Ken K., additional, Marshall, John, additional, Matthews, Elaine E., additional, McDermid, Sonali, additional, Mezuman, Keren, additional, Miller, Ron L., additional, Murray, Lee T., additional, Oinas, Valdar, additional, Orbe, Clara, additional, García‐Pando, Carlos Pérez, additional, Perlwitz, Jan P., additional, Puma, Michael J., additional, Rind, David, additional, Romanou, Anastasia, additional, Shindell, Drew T., additional, Sun, Shan, additional, Tausnev, Nick, additional, Tsigaridis, Kostas, additional, Tselioudis, George, additional, Weng, Ensheng, additional, Wu, Jingbo, additional, and Yao, Mao‐Sung, additional

Published
2020
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8. Drivers of Air‐Sea CO2 Flux Seasonality and its Long‐Term Changes in the NASA‐GISS Model CMIP6 Submission.

Author

Lerner, Paul, Romanou, Anastasia, Kelley, Maxwell, Romanski, Joy, Ruedy, Reto, and Russell, Gary

Subjects
ATMOSPHERIC carbon dioxide, SEASONAL temperature variations, FLUX (Energy), WIND speed, CARBON dioxide, OCEAN-atmosphere interaction
Abstract

Climate change will affect both the mean state and seasonality of marine physical and biogeochemical properties, with important implications for the oceanic sink of atmospheric CO2. Here, we investigate the seasonal cycle of the air‐sea exchange of CO2 and pCO2,sw (surface seawater pCO2) and their long term changes using the CMIP6 submission of the NASA‐GISS modelE (GISS‐E2.1‐G). In comparison to the CMIP5 submission (GISS‐E2‐R), we find that on the global scale, the seasonal cycles of the CO2 flux and NPP have improved, while the seasonal cycles of dissolved inorganic carbon (DIC), alkalinity, and macronutrients have deteriorated. Moreover, for all ocean biogeochemistry fields, changes in skill between E2.1‐G and E2‐R display large regional variability. For E2.1‐G, we find similar modeled and observed CO2 flux seasonal cycles in the subtropical gyres, where seasonal anomalies of pCO2,sw and the flux are temperature‐driven, and the Southern Ocean, where anomalies are DIC‐driven. Biases in these seasonal cycles are largest in the subpolar and equatorial regions, driven by a combination of biases in temperature, DIC, alkalinity, and wind speed. When comparing the historical simulation to a simulation with an idealized increase in atmospheric pCO2, we find that the seasonal amplitudes of the CO2 flux and pCO2,sw generally increase. These changes are produced by increases in the sensitivity of pCO2,sw to its respective drivers. These findings are consistent with the notion that the seasonality of pCO2,sw is expected to increase due to the increase of atmospheric pCO2, with changes in the seasonality of temperature, DIC, and alkalinity having secondary influences. Plain Language Summary: The ocean plays an important role in removing human CO2 emissions from the atmosphere. The removal varies seasonally, and this variability is expected to change as the ocean's carbon content increases. To predict these changes, models need to accurately simulate seasonal changes of the air‐sea exchange of CO2. In this study, we examine the seasonal cycle of the air‐sea exchange of CO2 in the CMIP6 version of the NASA‐GISS modelE (GISS‐E2.1‐G). We find good agreement between the seasonal cycles in the model and observations in the subtropical latitudes, where seasonal changes are mainly caused by temperature changes, and in the Southern Ocean, where seasonal changes are mainly caused by changes in dissolved inorganic carbon (DIC). Agreement is much poorer in high latitudes and tropical waters, where discrepancies in model wind speed, temperature, DIC, and alkalinity all contribute to differences between the modeled and observed seasonal cycle of air‐sea CO2 exchange. We further find, under future atmospheric CO2 increase, that seasonal extremes in the air‐sea exchange of CO2 increase in most of the ocean. Our findings support the idea that, under increased CO2 levels, the change in the ocean's ability to take CO2 from the atmosphere will be seasonally dependent. Key Points: The seasonality of the CO2 flux, pCO2, and their drivers in the NASA‐GISS model are evaluated using a suite of monthly climatologiesThe seasonal cycles of the CO2 flux and pCO2, sw are temperature‐driven in the subtropics and DIC‐driven in the Southern OceanIn an idealized future forcing scenario, changes in the flux are largely driven by changes in the sensitivity of pCO2 to its drivers [ABSTRACT FROM AUTHOR]

Published
2021
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