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Discussion papers
https://doi.org/10.5194/acp-2019-397
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2019-397
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Technical note 06 May 2019

Technical note | 06 May 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Chemistry and Physics (ACP).

A revisit of parametrization of summer downward longwave radiation over the Tibetan Plateau from high temporal resolution measurements

Mengqi Liu1,3, Xiangdong Zheng4, Jinqiang Zhang1,2,3, and Xiangao Xia1,2,3 Mengqi Liu et al.
  • 1LAGEO, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
  • 2Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • 3College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
  • 4Chinese Academy of Meteorological Sciences, Beijing, 100081, China

Abstract. The Tibetan Plateau (TP) is one of hot spots in the climate research due to its unique geographical location, high altitude, highly sensitive to climate change as well potential effects on climate in East Asia. Downward longwave radiation (DLR), as a key component in the surface energy budget, is of practical implications for many research fields. Several attempts have been made to measure hourly or daily DLR and then model it over the TP. This study uses 1-minute radiation and meteorological measurements at three stations over the TP to parameterize DLR during summer months. Three independent methods are used to discriminate clear-sky observations by making maximal use of collocated measurements of downward shortwave and longwave radiation as well as Lidar backscatter measurements with high temporal resolution. This guarantees a reliable separation of clear-sky and cloudy samples that favors for proper parameterizations of DLR under these two contrast conditions. Clear-sky and cloudy DLR models with original parameters are firstly assessed. These models are then locally calibrated based on 1-minute observations. DLR estimation is notably improved since specific conditions over the TP are accounted for by local calibration, which is indicated by smaller root mean square error (RMSE) and larger coefficient of determination (R2). The best local parametrization can estimate clear-sky DLR with RMSE of 3.8 W⸱m-2. Overestimation of clear-sky DLR by previous study is evident, likely due to potential residue cloud contamination on the clear-sky samples. Cloud base height under overcast conditions is shown to be intimately related to cloudy DLR parameterization, which is considered by this study in the locally calibrated parameterization over the TP for the first time.

Mengqi Liu et al.
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