Articles | Volume 21, issue 12
https://doi.org/10.5194/acp-21-9809-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-9809-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Jun 2021
Research article |
| 30 Jun 2021
| 30 Jun 2021
Evaluation of the CMIP6 marine subtropical stratocumulus cloud albedo and its controlling factors
Bida Jian
Key Laboratory for Semi-Arid Climate Change of the Ministry of
Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou,
Gansu, China
Jiming Li
CORRESPONDING AUTHOR
Key Laboratory for Semi-Arid Climate Change of the Ministry of
Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou,
Gansu, China
Guoyin Wang
Department of Atmospheric and Oceanic Sciences & Institute of
Atmospheric Sciences, Fudan University, Shanghai, China
Yuxin Zhao
Key Laboratory for Semi-Arid Climate Change of the Ministry of
Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou,
Gansu, China
Yarong Li
Key Laboratory for Semi-Arid Climate Change of the Ministry of
Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou,
Gansu, China
Jing Wang
Key Laboratory for Semi-Arid Climate Change of the Ministry of
Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou,
Gansu, China
Min Zhang
Inner Mongolia Institute of Meteorological Sciences, Hohhot, Inner
Mongolia, China
Jianping Huang
Key Laboratory for Semi-Arid Climate Change of the Ministry of
Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou,
Gansu, China
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Cited
12 citations as recorded by crossref.
- Evaluation of East Asian Meiyu from CMIP6/AMIP simulations M. Tong et al. 10.1007/s00382-022-06218-z
- Distinct Diurnal Cycle of Supercooled Water Cloud Fraction Dominated by Dust Extinction Coefficient Y. Wang et al. 10.1029/2021GL097006
- Using estimated radiation in crop models amplified the negative impacts of climate variability on maize and winter wheat yields in China Z. Zhang et al. 10.1016/j.agrformet.2022.108914
- The occurrence of lower-than-expected bulk NCCN values over the marginal seas of China - Implications for competitive activation of marine aerosols J. Gong et al. 10.1016/j.scitotenv.2022.159938
- Evaluating two diagnostic schemes of cloud-fraction parameterization using the CloudSat data Y. Wang et al. 10.1016/j.atmosres.2022.106510
- Assessing Climate Change Effects on Winter Wheat Production in the 3H Plain: Insights from Bias-Corrected CMIP6 Projections Y. Xu et al. 10.3390/agriculture14030469
- Spatio-Temporal Variation of Critical Relative Humidity Based on Multiple Datasets W. Zhang et al. 10.3390/rs15174187
- 20% of uncertainty in yield estimates could be caused by the radiation source Z. Zhang et al. 10.1016/j.scitotenv.2022.156015
- Warm Clouds Biases in CMIP6 Models Linked to Indirect Effects of Falling Ice‐Radiation Interactions Over the Tropical and Subtropical Pacific J. Li et al. 10.1029/2023GL104990
- Compensating Errors in Cloud Radiative and Physical Properties over the Southern Ocean in the CMIP6 Climate Models L. Zhao et al. 10.1007/s00376-022-2036-z
- Evaluating cloud radiative effect from CMIP6 and two satellite datasets over the Tibetan Plateau based on CERES observation Y. Zhao et al. 10.1007/s00382-021-05991-7
- Assessment of Top of Atmosphere, Atmospheric and Surface Energy Budgets in CMIP6 Models on Regional Scales D. Li et al. 10.1029/2022EA002758
12 citations as recorded by crossref.
- Evaluation of East Asian Meiyu from CMIP6/AMIP simulations M. Tong et al. 10.1007/s00382-022-06218-z
- Distinct Diurnal Cycle of Supercooled Water Cloud Fraction Dominated by Dust Extinction Coefficient Y. Wang et al. 10.1029/2021GL097006
- Using estimated radiation in crop models amplified the negative impacts of climate variability on maize and winter wheat yields in China Z. Zhang et al. 10.1016/j.agrformet.2022.108914
- The occurrence of lower-than-expected bulk NCCN values over the marginal seas of China - Implications for competitive activation of marine aerosols J. Gong et al. 10.1016/j.scitotenv.2022.159938
- Evaluating two diagnostic schemes of cloud-fraction parameterization using the CloudSat data Y. Wang et al. 10.1016/j.atmosres.2022.106510
- Assessing Climate Change Effects on Winter Wheat Production in the 3H Plain: Insights from Bias-Corrected CMIP6 Projections Y. Xu et al. 10.3390/agriculture14030469
- Spatio-Temporal Variation of Critical Relative Humidity Based on Multiple Datasets W. Zhang et al. 10.3390/rs15174187
- 20% of uncertainty in yield estimates could be caused by the radiation source Z. Zhang et al. 10.1016/j.scitotenv.2022.156015
- Warm Clouds Biases in CMIP6 Models Linked to Indirect Effects of Falling Ice‐Radiation Interactions Over the Tropical and Subtropical Pacific J. Li et al. 10.1029/2023GL104990
- Compensating Errors in Cloud Radiative and Physical Properties over the Southern Ocean in the CMIP6 Climate Models L. Zhao et al. 10.1007/s00376-022-2036-z
- Evaluating cloud radiative effect from CMIP6 and two satellite datasets over the Tibetan Plateau based on CERES observation Y. Zhao et al. 10.1007/s00382-021-05991-7
- Assessment of Top of Atmosphere, Atmospheric and Surface Energy Budgets in CMIP6 Models on Regional Scales D. Li et al. 10.1029/2022EA002758
Latest update: 22 Nov 2024
Short summary
We evaluate the performance of the AMIP6 model in simulating cloud albedo over marine subtropical regions and the impacts of different aerosol types and meteorological factors on the cloud albedo based on multiple satellite datasets and reanalysis data. The results show that AMIP6 demonstrates moderate improvement over AMIP5 in simulating the monthly variation in cloud albedo, and changes in different aerosol types and meteorological factors can explain ~65 % of the changes in the cloud albedo.
We evaluate the performance of the AMIP6 model in simulating cloud albedo over marine...
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