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Your search keyword '"Wu, Tongwen"' showing total 19 results
Start Over Author "Wu, Tongwen" Journal advances in atmospheric sciences
19 results on '"Wu, Tongwen"'

4. Spatial Inhomogeneity of Atmospheric CO2 Concentration and Its Uncertainty in CMIP6 Earth System Models.

Author

Xie, Chengjun, Wu, Tongwen, Zhang, Jie, Furtado, Kalli, Zhou, Yumeng, Zhang, Yanwu, Wu, Fanghua, Jie, Weihua, Zhao, He, and Zheng, Mengzhe

Subjects
*ATMOSPHERIC carbon dioxide, *EARTH (Planet)
Abstract

This paper provides a systematic evaluation of the ability of 12 Earth System Models (ESMs) participating in the Coupled Model Intercomparison Project Phase 6 (CMIP6) to simulate the spatial inhomogeneity of the atmospheric carbon dioxide (CO2) concentration. The multi-model ensemble mean (MME) can reasonably simulate the increasing trend of CO2 concentration from 1850 to 2014, compared with the observation data from the Scripps CO2 Program and CMIP6 prescribed data, and improves upon the CMIP5 MME CO2 concentration (which is overestimated after 1950). The growth rate of CO2 concentration in the northern hemisphere (NH) is higher than that in the southern hemisphere (SH), with the highest growth rate in the mid-latitudes of the NH. The MME can also reasonably simulate the seasonal amplitude of CO2 concentration, which is larger in the NH than in the SH and grows in amplitude after the 1950s (especially in the NH). Although the results of the MME are reasonable, there is a large spread among ESMs, and the difference between the ESMs increases with time. The MME results show that regions with relatively large CO2 concentrations (such as northern Russia, eastern China, Southeast Asia, the eastern United States, northern South America, and southern Africa) have greater seasonal variability and also exhibit a larger inter-model spread. Compared with CMIP5, the CMIP6 MME simulates an average spatial distribution of CO2 concentration that is much closer to the site observations, but the CMIP6-inter-model spread is larger. The inter-model differences of the annual means and seasonal cycles of atmospheric CO2 concentration are both attributed to the differences in natural sources and sinks of CO2 between the simulations. [ABSTRACT FROM AUTHOR]

Published
2023
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6. Spatial Inhomogeneity of Atmospheric CO2Concentration and Its Uncertainty in CMIP6 Earth System Models

Author

Xie, Chengjun, Wu, Tongwen, Zhang, Jie, Furtado, Kalli, Zhou, Yumeng, Zhang, Yanwu, Wu, Fanghua, Jie, Weihua, Zhao, He, and Zheng, Mengzhe

Abstract

This paper provides a systematic evaluation of the ability of 12 Earth System Models (ESMs) participating in the Coupled Model Intercomparison Project Phase 6 (CMIP6) to simulate the spatial inhomogeneity of the atmospheric carbon dioxide (CO2) concentration. The multi-model ensemble mean (MME) can reasonably simulate the increasing trend of CO2concentration from 1850 to 2014, compared with the observation data from the Scripps CO2Program and CMIP6 prescribed data, and improves upon the CMIP5 MME CO2concentration (which is overestimated after 1950). The growth rate of CO2concentration in the northern hemisphere (NH) is higher than that in the southern hemisphere (SH), with the highest growth rate in the mid-latitudes of the NH. The MME can also reasonably simulate the seasonal amplitude of CO2concentration, which is larger in the NH than in the SH and grows in amplitude after the 1950s (especially in the NH). Although the results of the MME are reasonable, there is a large spread among ESMs, and the difference between the ESMs increases with time. The MME results show that regions with relatively large CO2concentrations (such as northern Russia, eastern China, Southeast Asia, the eastern United States, northern South America, and southern Africa) have greater seasonal variability and also exhibit a larger inter-model spread. Compared with CMIP5, the CMIP6 MME simulates an average spatial distribution of CO2concentration that is much closer to the site observations, but the CMIP6-inter-model spread is larger. The inter-model differences of the annual means and seasonal cycles of atmospheric CO2concentration are both attributed to the differences in natural sources and sinks of CO2between the simulations.

Published
2023
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13. The Flexible Global Ocean-Atmosphere-Land system model, Spectral Version 2: FGOALS-s2

Author

Bao, Qing / 包 庆, Lin, Pengfei / 林鹏飞, Zhou, Tianjun / 周天军, Liu, Yimin / 刘屹岷, Yu, Yongqiang / 俞永强, Wu, Guoxiong / 吴国雄, He, Bian / 何 编, He, Jie / 何 杰, Li, Lijuan / 李立娟, Li, Jiandong / 李剑东, Li, Yangchun / 李阳春, Liu, Hailong / 刘海龙, Qiao, Fangli / 乔方利, Song, Zhenya / 宋振亚, Wang, Bin / 王 斌, Wang, Jun / 王 军, Wang, Pengfei / 王鹏飞, Wang, Xiaocong / 王晓聪, Wang, Zaizhi / 王在志, Wu, Bo / 吴 波, Wu, Tongwen / 吴统文, Xu, Yongfu / 徐永福, Yu, Haiyang / 于海洋, Zhao, Wei / 赵 伟, Zheng, Weipeng / 郑伟鹏, and Zhou, Linjiong / 周林炯

Published
2013
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18. The performance of atmospheric component model R42L9 of GOALS/LASG

Author

Yu Rucong, Liu Ping, WU Guoxiong, WU Tongwen, Liu Yimin, and Wang Zaizhi

Subjects
Atmospheric Science, Atmospheric physics, Sea surface temperature, Geophysical fluid dynamics, Atmospheric pressure, Meteorology, Component (UML), General Circulation Model, Climatology, Geopotential height, Environmental science, Precipitation
Abstract

This paper examines the performance of an atmospheric general circulation model (AGCM) developed at the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics (LASG/IAP). It is a spectral model truncated at R42(2.8125°long×1.66°lat) resolution and with nine vertical levels, and referred to as R42L9/LASG hereafter. It is also the new version of atmospheric component model R15L9 of the global ocean-atmosphere-land system (GOALS/LASG). A 40-year simulation in which the model is forced with the climatological monthly mean sea surface temperature is compared with the 40-year (1958–97) U.S. National Center for Environmental Prediction (NCEP) global reanalysis and the 22-year (1979–2000) Xie-Arkin monthly precipitation climatology. The mean DJF and JJA geographical distributions of precipitation, sea level pressure, 500-hPa geopotential height, 850-hPa and 200-hPa zonal wind, and other fields averaged for the last 30-year integration of the R42L9 model are analyzed. Results show that the model reproduces well the observed basic patterns, particularly precipitation over the East Asian region. Comparing the new model with R15L9/LASG, the old version with coarse resolution (nearly 7.5°long×4.5°lat), shows an obvious improvement in the simulation of regional climate, especially precipitation. The weaknesses in simulation and future improvements of the model are also discussed.

Published
2003

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