Articles | Volume 23, issue 1
https://doi.org/10.5194/acp-23-743-2023
© Author(s) 2023. 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-23-743-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Diurnal cycles of cloud cover and its vertical distribution over the Tibetan Plateau revealed by satellite observations, reanalysis datasets, and CMIP6 outputs
Yuxin Zhao
Key Laboratory for Semi-Arid Climate Change of the Ministry of
Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou,
China
Jiming Li
CORRESPONDING AUTHOR
Key Laboratory for Semi-Arid Climate Change of the Ministry of
Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou,
China
Lijie Zhang
Key Laboratory for Semi-Arid Climate Change of the Ministry of
Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou,
China
Cong Deng
Key Laboratory for Semi-Arid Climate Change of the Ministry of
Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou,
China
Yarong Li
Key Laboratory for Semi-Arid Climate Change of the Ministry of
Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou,
China
Bida Jian
Key Laboratory for Semi-Arid Climate Change of the Ministry of
Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou,
China
Jianping Huang
Key Laboratory for Semi-Arid Climate Change of the Ministry of
Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou,
China
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26 citations as recorded by crossref.
- In-situ observations reveal weak hygroscopicity in the Southern Tibetan Plateau: implications for aerosol activation and indirect effects Y. Wang et al. 10.1038/s41612-024-00629-x
- Long-term variability of the low level clouds across Indo-Gangetic Plain K. Shukla et al. 10.1016/j.dynatmoce.2024.101521
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- Climate change and vegetation greening jointly drive the spatial pattern of net radiation variability in northern China S. Wang et al. 10.1080/17538947.2024.2422983
- 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
- Potential of temporal satellite data analysis for detection of weed infestation in rice crop M. Tiwari et al. 10.1016/j.ejrs.2024.10.002
- Sensitivity analysis of the WRF simulated planetary boundary layer height to synoptic conditions over eastern China Y. Li et al. 10.1016/j.atmosres.2024.107330
- Significant changes in cloud radiative effects over Southwestern United States during the COVID-19 flight reduction period J. Wang et al. 10.1016/j.scitotenv.2023.168656
- Diurnal vertical distribution and transport of dust aerosol over and around Tibetan Plateau from lidar on International Space Station Z. Xiong et al. 10.1016/j.atmosres.2023.106939
- Diurnal Cycles of Cloud Properties and Precipitation Patterns over the Northeastern Tibetan Plateau During Summer B. Cao et al. 10.3390/rs16214059
- Spatial and temporal variation of day and night time land surface temperature and its drivers over Iran’s watersheds using remote sensing F. Shakiba et al. 10.1007/s12145-024-01344-0
- Possible atmospheric-ionospheric precursors of the 2020 Hotan China earthquake from various satellites A. Hameed et al. 10.1016/j.asr.2024.06.016
- Longer dust events over Northwest China from 2015 to 2022 H. Yu et al. 10.1016/j.atmosres.2024.107365
- Daily scale air quality index forecasting using bidirectional recurrent neural networks: Case study of Delhi, India C. Pande et al. 10.1016/j.envpol.2024.124040
- Evaluation of Land Use Land Cover Changes in Response to Land Surface Temperature With Satellite Indices and Remote Sensing Data Q. Zhao et al. 10.1016/j.rama.2024.07.003
- Spatio-Temporal Variation of Critical Relative Humidity Based on Multiple Datasets W. Zhang et al. 10.3390/rs15174187
- South-North dipole in summer precipitation over Northeast China X. Shu et al. 10.1007/s00382-024-07256-5
- MEHGNet: a multi-feature extraction and high-resolution generative network for satellite cloud image sequence prediction B. Xie et al. 10.1007/s12145-024-01432-1
- Diurnal variation in the near-global planetary boundary layer height from satellite-based CATS lidar: Retrieval, evaluation, and influencing factors Y. Li et al. 10.1016/j.rse.2023.113847
- A Comparative Study of Machine Learning Models for Daily and Weekly Rainfall Forecasting V. Kumar et al. 10.1007/s11269-024-03969-8
- Forecasting of meteorological drought using ensemble and machine learning models C. Pande et al. 10.1186/s12302-024-00975-w
- Integrating multisource data and machine learning for supraglacial lake detection: Implications for environmental management and sustainable development goals in high mountainous regions H. Mustafa et al. 10.1016/j.jenvman.2024.122490
- The diurnal cycle from observations and ERA5 in precipitation, clouds, boundary layer height, buoyancy, and surface fluxes A. Dai 10.1007/s00382-024-07182-6
- 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
Latest update: 13 Dec 2024
Short summary
Diurnal variations of clouds play an important role in the radiative budget and precipitation. Based on satellite observations, reanalysis, and CMIP6 outputs, the diurnal variations in total cloud cover and cloud vertical distribution over the Tibetan Plateau are explored. The diurnal cycle of cirrus is a key focus and found to have different characteristics from those found in the tropics. The relationship between the diurnal cycle of cirrus and meteorological factors is also discussed.
Diurnal variations of clouds play an important role in the radiative budget and precipitation....
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