Articles | Volume 18, issue 10
https://doi.org/10.5194/acp-18-7329-2018
© Author(s) 2018. 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-18-7329-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 May 2018
Research article |
| 25 May 2018
| 25 May 2018
The impact of atmospheric stability and wind shear on vertical cloud overlap over the Tibetan Plateau
Jiming Li
CORRESPONDING AUTHOR
Key Laboratory for Semi-Arid Climate Change of the Ministry of
Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou,
China
Qiaoyi Lv
Laboratory of Straits Meteorology, Xiamen Meteorological Bureau,
Xiamen, China
Bida Jian
Key Laboratory for Semi-Arid Climate Change of the Ministry of
Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou,
China
Min Zhang
Key Laboratory for Semi-Arid Climate Change of the Ministry of
Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou,
China
Chuanfeng Zhao
State Key Laboratory of Earth Surface Processes and Resource Ecology,
and College of Global Change and Earth System Science, Beijing Normal
University, Beijing, China
Qiang Fu
Key Laboratory for Semi-Arid Climate Change of the Ministry of
Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou,
China
Department of Atmospheric Sciences, University of Washington, Seattle,
USA
Kazuaki Kawamoto
Graduate School of Fisheries and Environmental Sciences, Nagasaki
University, Nagasaki, Japan
Hua Zhang
Laboratory for Climate Studies, National Climate Center, China
Meteorological Administration, Beijing, China
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- Cloud macrophysical characteristics in China mainland and east coast from 2006 to 2017 using satellite active remote sensing observations Y. Chi et al. 10.1002/joc.7790
- The influence of complex terrain on cloud and precipitation on the foot and slope of the southeastern Tibetan Plateau J. Li et al. 10.1007/s00382-023-07056-3
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- Effects of atmospheric circulations on the interannual variation in PM<sub>2.5</sub> concentrations over the Beijing–Tianjin–Hebei region in 2013–2018 X. Wang & R. Zhang 10.5194/acp-20-7667-2020
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- Micro Rain Radar and Radiometric Measurements to Unravel Contrasting Features of Rain Microstructure Below and Above the Boundary Layer G. Rakshit et al. 10.1029/2023RS007875
- Evaluating the Impacts of Cloud Microphysical and Overlap Parameters on Simulated Clouds in Global Climate Models H. Wang et al. 10.1007/s00376-021-0369-7
- The autumn haze-fog episode enhanced by the transport of dust aerosols in the Tianjin area L. Zhao et al. 10.1016/j.atmosenv.2020.117669
- Dependence of Vertical Alignment of Cloud and Precipitation Properties on Their Effective Fall Speeds M. Ovchinnikov et al. 10.1029/2018JD029346
29 citations as recorded by crossref.
- Diurnal cycles of cloud cover and its vertical distribution over the Tibetan Plateau revealed by satellite observations, reanalysis datasets, and CMIP6 outputs Y. Zhao et al. 10.5194/acp-23-743-2023
- Long-term changes in the diurnal cycle of total cloud cover over the Tibetan Plateau C. Deng et al. 10.1016/j.atmosres.2023.106992
- Evaluating two diagnostic schemes of cloud-fraction parameterization using the CloudSat data Y. Wang et al. 10.1016/j.atmosres.2022.106510
- Identifying cloud, precipitation, windshear, and turbulence by deep analysis of the power spectrum of coherent Doppler wind lidar J. Yuan et al. 10.1364/OE.412809
- Spatial Distributions of Cloud Occurrences in Terms of Volume Fraction as Inferred from CloudSat and CALIPSO Y. Ding et al. 10.3390/rs15163978
- Atmospheric Instability Dominates the Long‐Term Variation of Cloud Vertical Overlap Over the Southern Great Plains Site J. Li et al. 10.1029/2019JD030954
- Competition Between Radiative and Seeding Effects of Overlying Clouds on Underlying Marine Stratocumulus B. Jian et al. 10.1029/2022GL100729
- Climatology of Cloud Phase, Cloud Radiative Effects and Precipitation Properties over the Tibetan Plateau J. Wang et al. 10.3390/rs13030363
- Algorithm for Detecting Ice Overlaying Water Multilayer Clouds Using the Infrared Bands of FY-4A/AGRI K. Wang et al. 10.1109/LGRS.2024.3372150
- Distinct structure, radiative effects, and precipitation characteristics of deep convection systems in the Tibetan Plateau compared to the tropical Indian Ocean Y. Zhao et al. 10.5194/acp-24-9435-2024
- Evaluation of the CMIP6 planetary albedo climatology using satellite observations B. Jian et al. 10.1007/s00382-020-05277-4
- Cloud macrophysical characteristics in China mainland and east coast from 2006 to 2017 using satellite active remote sensing observations Y. Chi et al. 10.1002/joc.7790
- The influence of complex terrain on cloud and precipitation on the foot and slope of the southeastern Tibetan Plateau J. Li et al. 10.1007/s00382-023-07056-3
- 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
- Characteristics and Formation Mechanism of the Cloud Vertical Structure Over the Southeastern Tibetan Plateau in Summer J. Ma et al. 10.1029/2022EA002811
- Dependence of cloud radiation on cloud overlap, horizontal inhomogeneity, and vertical alignment in stratiform and convective regions X. Wang et al. 10.1016/j.atmosres.2020.105358
- Cloud properties and dynamics over the Tibetan Plateau – A review Y. Wu et al. 10.1016/j.earscirev.2023.104633
- A Neural Network‐Based Scale‐Adaptive Cloud‐Fraction Scheme for GCMs G. Chen et al. 10.1029/2022MS003415
- Cloud Overlap Features from Multi-Year Cloud Radar Observations at the SACOL Site and Comparison with Satellites X. Yang et al. 10.3390/rs16020218
- Estimating Summertime Precipitation from Himawari-8 and Global Forecast System Based on Machine Learning M. Min et al. 10.1109/TGRS.2018.2874950
- SegCloud: a novel cloud image segmentation model using a deep convolutional neural network for ground-based all-sky-view camera observation W. Xie et al. 10.5194/amt-13-1953-2020
- Dominant synoptic patterns associated with the decay process of PM<sub>2.5</sub> pollution episodes around Beijing X. Wang et al. 10.5194/acp-21-2491-2021
- A decadal climatology of cloud vertical structure over the Indo-Gangetic Plain using radiosonde and radar observations S. Sharma et al. 10.1016/j.atmosres.2021.105949
- Effects of atmospheric circulations on the interannual variation in PM<sub>2.5</sub> concentrations over the Beijing–Tianjin–Hebei region in 2013–2018 X. Wang & R. Zhang 10.5194/acp-20-7667-2020
- A new merged dataset for analyzing clouds, precipitation and atmospheric parameters based on ERA5 reanalysis data and the measurements of the Tropical Rainfall Measuring Mission (TRMM) precipitation radar and visible and infrared scanner L. Sun & Y. Fu 10.5194/essd-13-2293-2021
- Micro Rain Radar and Radiometric Measurements to Unravel Contrasting Features of Rain Microstructure Below and Above the Boundary Layer G. Rakshit et al. 10.1029/2023RS007875
- Evaluating the Impacts of Cloud Microphysical and Overlap Parameters on Simulated Clouds in Global Climate Models H. Wang et al. 10.1007/s00376-021-0369-7
- The autumn haze-fog episode enhanced by the transport of dust aerosols in the Tianjin area L. Zhao et al. 10.1016/j.atmosenv.2020.117669
- Dependence of Vertical Alignment of Cloud and Precipitation Properties on Their Effective Fall Speeds M. Ovchinnikov et al. 10.1029/2018JD029346
Latest update: 20 Nov 2024
Short summary
The accurate representation of cloud vertical overlap in atmospheric models is very important for predicting the total cloud cover and calculating the radiative budget. We propose a valid scheme for quantifying the degree of overlap over the Tibetan Plateau (TP). The new scheme parameterizes decorrelation length scale L as a function of wind shear and atmospheric stability and improves the simulation of total cloud cover over TP when the separations between cloud layers are greater than 1 km.
The accurate representation of cloud vertical overlap in atmospheric models is very important...
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