Articles | Volume 13, issue 3
https://doi.org/10.5194/amt-13-1033-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-1033-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Mar 2020
Research article |
| 04 Mar 2020
| 04 Mar 2020
Evaluation of cloud properties from reanalyses over East Asia with a radiance-based approach
Bin Yao
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Nanjing University of Information Science and
Technology, Nanjing, 210044, China
Key Laboratory for Aerosol-Cloud-Precipitation, China Meteorological
Administration, School of Atmospheric Physics, Nanjing University of
Information Science and Technology, Nanjing, 210044, China
Chao Liu
CORRESPONDING AUTHOR
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Nanjing University of Information Science and
Technology, Nanjing, 210044, China
Key Laboratory for Aerosol-Cloud-Precipitation, China Meteorological
Administration, School of Atmospheric Physics, Nanjing University of
Information Science and Technology, Nanjing, 210044, China
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Nanjing University of Information Science and
Technology, Nanjing, 210044, China
Key Laboratory for Aerosol-Cloud-Precipitation, China Meteorological
Administration, School of Atmospheric Physics, Nanjing University of
Information Science and Technology, Nanjing, 210044, China
Zhiquan Liu
National Center for Atmospheric Research, Boulder, CO 80301, USA
Chunxiang Shi
National Meteorological Information Center, China Meteorological
Administration, Beijing, 100081, China
Hironobu Iwabuchi
Center for Atmospheric and Oceanic Studies, Graduate School of
Science, Tohoku University, Sendai, Miyagi, 980-8578, Japan
Fuzhong Weng
Chinese Academy of Meteorological Sciences, Beijing, 100081, China
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- Arctic cloud properties and associated radiative effects in the three newer reanalysis datasets (ERA5, MERRA-2, JRA-55): Discrepancies and possible causes H. Yeo et al. 10.1016/j.atmosres.2022.106080
- Heat health during future summers in eastern Asia: The combined roles of circulation, temperature and humidity R. Clark & P. Wu 10.1002/joc.8145
- Impact of aerosols on warm clouds over the Sichuan Basin, China in winter based on the MERRA-2 reanalysis dataset S. Zhu et al. 10.1016/j.apr.2022.101342
- Impacts of Topographic Complexity on Modeling Moisture Transport and Precipitation over the Tibetan Plateau in Summer G. Li et al. 10.1007/s00376-022-1409-7
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- Reduction in the Arctic Surface Warm Bias in the NCAR CAM6 by Reducing Excessive Low-Level Clouds in the Arctic J. Bae et al. 10.3390/atmos14030522
- Radiative contributions of different cloud types to regional energy budget over the SACOL site M. Wang et al. 10.1007/s00382-022-06651-0
- Retrieval of cloud liquid water path using radiosonde measurements: Comparison with MODIS and ERA5 R. Nandan et al. 10.1016/j.jastp.2021.105799
- Quantitative assessment of the scale conversion from instantaneous to daily GPP under various sky conditions based on MODIS local overpassing time J. Lee & J. Im 10.1080/15481603.2024.2319372
- Clouds and Radiation Processes in Regional Climate Models Evaluated Using Observations Over the Ice‐free Arctic Ocean J. Inoue et al. 10.1029/2020JD033904
- Aerosol-cloud interaction in water clouds observed using ground-based, in-situ, and satellite-based observations over an Indian continental region R. Nandan et al. 10.1016/j.atmosres.2022.106436
- The behavior of cloud base height over a hilly remote station of North-East India using ground-based remote sensing technique A. Kundu et al. 10.1016/j.atmosres.2022.106512
- An accurate and efficient radiative transfer model for simulating all-sky images from Fengyun satellite radiometers B. Yao et al. 10.1007/s11430-020-9617-9
- Investigating the all-sky surface solar radiation and its influencing factors in the Yangtze River Basin in recent four decades Z. Wang et al. 10.1016/j.atmosenv.2020.117888
- Arctic cloud properties and associated radiative effects in the three newer reanalysis datasets (ERA5, MERRA-2, JRA-55): Discrepancies and possible causes H. Yeo et al. 10.1016/j.atmosres.2022.106080
- Heat health during future summers in eastern Asia: The combined roles of circulation, temperature and humidity R. Clark & P. Wu 10.1002/joc.8145
- Impact of aerosols on warm clouds over the Sichuan Basin, China in winter based on the MERRA-2 reanalysis dataset S. Zhu et al. 10.1016/j.apr.2022.101342
- Impacts of Topographic Complexity on Modeling Moisture Transport and Precipitation over the Tibetan Plateau in Summer G. Li et al. 10.1007/s00376-022-1409-7
- A comprehensive research on the global all-sky surface solar radiation and its driving factors during 1980–2019 Z. Wang et al. 10.1016/j.atmosres.2021.105870
- Assessing precipitation variations in the Yangtze River Basin during 1979–2019 by vertically integrated moisture flux divergence J. Ma et al. 10.1007/s11069-022-05419-3
- Exploiting offshore wind and solar resources in the Mediterranean using ERA5 reanalysis data T. Soukissian et al. 10.1016/j.enconman.2021.114092
- Evaluation of the precipitation of the East Asia regional reanalysis system mainly over mainland China L. Yang et al. 10.1002/joc.7940
- CRA-40/Atmosphere—The First-Generation Chinese Atmospheric Reanalysis (1979–2018): System Description and Performance Evaluation Z. Liu et al. 10.1007/s13351-023-2086-x
- Can atmospheric reanalyses (CRA and ERA5) represent cloud spatiotemporal characteristics? B. Yao et al. 10.1016/j.atmosres.2020.105091
- The extreme precipitation and added value of East Asia regional reanalysis system L. Yang et al. 10.1002/joc.8238
- Variation and comparison of cloud cover in MODIS and four reanalysis datasets of ERA-interim, ERA5, MERRA-2 and NCEP H. Wu et al. 10.1016/j.atmosres.2022.106477
Latest update: 24 Apr 2024
Short summary
Due to the complex spatiotemporal and physical properties of clouds, their quantitative depictions in different atmospheric reanalysis datasets are still highly uncertain. A radiance-based evaluation approach is developed to evaluate the quality of cloud properties by directly comparing them with satellite radiance observations. ERA5 and CRA are found to have great capability in representing the cloudy atmosphere over East Asia, and MERRA-2 tends to slightly overestimate clouds over the region.
Due to the complex spatiotemporal and physical properties of clouds, their quantitative...
