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CAS FGOALS-f3-L Model Datasets for CMIP6 Historical Atmospheric Model Intercomparison Project Simulation

CITE Title : CAS FGOALS-f3-L Model Datasets for CMIP6 Historical Atmospheric Model Intercomparison Project Simulation Personal Author(s) : He, Bian;Bao, Qing;Wang, Xiaocong;Zhou, Linjiong;Wu, Xiaofei;Liu, Yimin;Wu, Guoxiong;Chen, Kangjun;He, Sicheng;Hu, Wenting;Li, Jiandong;Li, Jinxiao;Nian, Guokui;Wang, Lei;Yang, Jing;Zhang, Minghua;Zhang, Xiaoqi; Published Date : 2019 Source : Advances in Atmospheric Sciences, 36(8), 771-778 DOI : https://doi.org/10.1007/s00376-019-9027-8 Journal Title : Advances in Atmospheric Sciences He, Bian et al. (2019). CAS FGOALS-f3-L Model Datasets for CMIP6 Historical Atmospheric Model Intercomparison Project Simulation. 36(8). https://doi.org/10.1007/s00376-019-9027-8 He, Bian et al. "CAS FGOALS-f3-L Model Datasets for CMIP6 Historical Atmospheric Model Intercomparison Project Simulation" 36, no. 8 (2019), https://doi.org/10.1007/s00376-019-9027-8 He, Bian et al. "CAS FGOALS-f3-L Model Datasets for CMIP6 Historical Atmospheric Model Intercomparison Project Simulation" vol. 36, no. 8, 2019, https://doi.org/10.1007/s00376-019-9027-8 Export RIS Citation Information.

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He, Bian ;

Bao, Qing

2019 | Advances in Atmospheric Sciences, 36(8), 771-778

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The outputs of the Chinese Academy of Sciences (CAS) Flexible Global Ocean-Atmosphere-Land System (FGOALS-f3-L) model for the baseline experiment of t...
The Efficient Integration of Dust and Numerical Weather Prediction for Renewable Energy Applications

CITE Title : The Efficient Integration of Dust and Numerical Weather Prediction for Renewable Energy Applications Personal Author(s) : Chen, Xi;Chong, Mei;Lin, Shian-Jiann;Liang, Zhi;Ginoux, Paul;Liang, Yuan;Zhang, Bihui;Song, Qian;Wang, Shengkai;Li, Jiawei;Liu, Yimin; Published Date : 2025 Source : Journal of Advances in Modeling Earth Systems, 17, e2024MS004525 DOI : https://doi.org/10.1029/2024MS004525 Journal Title : Journal of Advances in Modeling Earth Systems Chen, Xi et al. (2025). The Efficient Integration of Dust and Numerical Weather Prediction for Renewable Energy Applications. 17(1). https://doi.org/10.1029/2024MS004525 Chen, Xi et al. "The Efficient Integration of Dust and Numerical Weather Prediction for Renewable Energy Applications" 17, no. 1 (2025), https://doi.org/10.1029/2024MS004525 Chen, Xi et al. "The Efficient Integration of Dust and Numerical Weather Prediction for Renewable Energy Applications" vol. 17, no. 1, 2025, https://doi.org/10.1029/2024MS004525 Export RIS Citation Information.

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Chen, Xi

;

Chong, Mei

2025 | Journal of Advances in Modeling Earth Systems, 17, e2024MS004525

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The growing demand for renewable energy underscores the importance of accurate dust forecasting in regions with abundant wind and solar resources. How...
Climatology of tracked persistent maxima of 500-hPa geopotential height

CITE Title : Climatology of tracked persistent maxima of 500-hPa geopotential height Personal Author(s) : Liu, Ping;Zhu, Yuejian;Zhang, Qin;Gottschalck, Jon;Zhang, Minghua;Melhauser, Christopher;Li, Wei;Guan, Hong;Zhou, Xiaqiong;Hou, Dingchen;Peña, Malaquias;Wu, Guoxiong;Liu, Yimin;Zhou, Linjiong;He, Bian;Hu, Wenting;Sukhdeo, Raymond; Published Date : 2017 Source : Climate Dynamics, 51(1-2), 701-717 DOI : https://doi.org/10.1007/s00382-017-3950-0 Journal Title : Climate Dynamics Liu, Ping et al. (2017). Climatology of tracked persistent maxima of 500-hPa geopotential height. 51(01). https://doi.org/10.1007/s00382-017-3950-0 Liu, Ping et al. "Climatology of tracked persistent maxima of 500-hPa geopotential height" 51, no. 01 (2017), https://doi.org/10.1007/s00382-017-3950-0 Liu, Ping et al. "Climatology of tracked persistent maxima of 500-hPa geopotential height" vol. 51, no. 01, 2017, https://doi.org/10.1007/s00382-017-3950-0 Export RIS Citation Information.

:

Liu, Ping

;

Zhu, Yuejian

2017 | Climate Dynamics, 51(1-2), 701-717

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Persistent open ridges and blocking highs (maxima) of 500-hPa geopotential height (Z500; PMZ) adjacent in space and time are identified and tracked as...
LASG Global AGCM with a Two-moment Cloud Microphysics Scheme: Energy Balance and Cloud Radiative Forcing Characteristics

CITE Title : LASG Global AGCM with a Two-moment Cloud Microphysics Scheme: Energy Balance and Cloud Radiative Forcing Characteristics Personal Author(s) : Wang, Lei;Bao, Qing;Wang, Wei-Chyung;Liu, Yimin;Wu, Guo-Xiong;Zhou, Linjiong;Li, Jiandong;Gong, Hua;Nian, Guokui;Li, Jinxiao;Wang, Xiaocong;He, Bian; Published Date : 2020 Source : Advances in Atmospheric Sciences, 36(7) DOI : https://doi.org/10.1007/s00376-019-8196-9 Journal Title : Advances in Atmospheric Sciences Wang, Lei et al. (2020). LASG Global AGCM with a Two-moment Cloud Microphysics Scheme: Energy Balance and Cloud Radiative Forcing Characteristics. 36(7). https://doi.org/10.1007/s00376-019-8196-9 Wang, Lei et al. "LASG Global AGCM with a Two-moment Cloud Microphysics Scheme: Energy Balance and Cloud Radiative Forcing Characteristics" 36, no. 7 (2020), https://doi.org/10.1007/s00376-019-8196-9 Wang, Lei et al. "LASG Global AGCM with a Two-moment Cloud Microphysics Scheme: Energy Balance and Cloud Radiative Forcing Characteristics" vol. 36, no. 7, 2020, https://doi.org/10.1007/s00376-019-8196-9 Export RIS Citation Information.

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Wang, Lei ;

Bao, Qing

2020 | Advances in Atmospheric Sciences, 36(7)

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Cloud dominates influence factors of atmospheric radiation, while aerosol-cloud interactions are of vital importance in its spatiotemporal distributio...
Rapid summer Russian Arctic sea-ice loss enhances the risk of recent Eastern Siberian wildfires

CITE Title : Rapid summer Russian Arctic sea-ice loss enhances the risk of recent Eastern Siberian wildfires Personal Author(s) : Luo, Binhe;Luo, Dehai;Dai, Aiguo;Xiao, Cunde;Simmonds, Ian;Hanna, Edward;Overland, James;Shi, Jiaqi;Chen, Xiaodan;Yao, Yao;Duan, Wansuo;Liu, Yimin;Zhang, Qiang;Xu, Xiyan;Diao, Yina;Jiang, Zhina;Gong, Tingting; Published Date : 2024 Source : Nature Communications, 15(1) DOI : https://doi.org/10.1038/s41467-024-49677-0 Journal Title : Nature Communications Luo, Binhe et al. (2024). Rapid summer Russian Arctic sea-ice loss enhances the risk of recent Eastern Siberian wildfires. 15(1). https://doi.org/10.1038/s41467-024-49677-0 Luo, Binhe et al. "Rapid summer Russian Arctic sea-ice loss enhances the risk of recent Eastern Siberian wildfires" 15, no. 1 (2024), https://doi.org/10.1038/s41467-024-49677-0 Luo, Binhe et al. "Rapid summer Russian Arctic sea-ice loss enhances the risk of recent Eastern Siberian wildfires" vol. 15, no. 1, 2024, https://doi.org/10.1038/s41467-024-49677-0 Export RIS Citation Information.

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Luo, Binhe

;

Luo, Dehai

2024 | Nature Communications, 15(1)

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In recent decades boreal wildfires have occurred frequently over eastern Siberia, leading to increased emissions of carbon dioxide and pollutants. How...