Preprints
https://doi.org/10.5194/acp-2022-794
https://doi.org/10.5194/acp-2022-794
 
06 Jan 2023
06 Jan 2023
Status: this preprint is currently under review for the journal ACP.

Parameterization of downward longwave radiation based on long-term baseline surface radiation measurements in China

Junli Yang1,2, Jianglin Hu1,2, Qiying Chen1,2, and Weijun Quan3,4 Junli Yang et al.
  • 1CMA Earth System Modeling and Prediction Centre (CEMC), China Meteorological Administration, Beijing, 100081, China
  • 2State Key Laboratory of Severe Weather (LaSW), China Meteorological Administration, Beijing, 100081, China
  • 3Beijing Weather Forecast Centre, Beijing Meteorological Service, Beijing, 100089, China
  • 4Environmental Meteorology Forecast Centre of Beijing-Tianjin-Hebei, Beijing, 100089, China

Abstract. Downward longwave radiation (DLR) affects energy exchange between the land surface and the atmosphere, and plays an important role in weather forecasting, agricultural activities, and the development of climate models. Because DLR is seldom observed at conventional radiation stations, numerous empirical parameterizations have been presented to estimate DLR from screen-level meteorological variables. The reliability and representativeness of parameterization depend on the coefficients regressed from the simultaneous observations of DLR and meteorological variables. Only a few previous studies have attempted to build parameterizations over regions in China such as the Tibetan Plateau and East China. In this study, a long-term (2011–2022) hourly dataset of DLR and meteorological elements, obtained from seven stations of the China Baseline Surface Radiation Network, was used to recalculate the coefficients of the Brunt and Weng models, and to develop a new model. Results showed that the mean bias error (MBE) and relative MBE (rMBE) between the measured clear-sky DLR and that estimated using the Brunt, Weng, and new models were −4.3, −5.1, and 3.7 W m−2 and −1.5 %, −1.8 %, and 1.3 %, respectively. The root mean squared errors (RMSEs) where in the range of 13.8–14.3 W m−2 and the relative RMSEs (rRMSEs) were approximately 5.0 %. The MBEs (rMBEs) of the Brunt, Weng, and new models under all-sky conditions were −2.8 W m−2 (−1.0 %), −6.1 W m−2 (−2.1 %), and −1.5 W m−2 (−0.5 %), respectively. The RMSE (rRMSE) of the parameterization models in retrieving all-sky DLR was ~17.5 W m−2 (~6.1 %). Therefore, the models are considered suitable for retrieval of DLR over China.

Junli Yang et al.

Status: open (until 17 Feb 2023)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-794', Anonymous Referee #1, 18 Jan 2023 reply
  • RC2: 'Comment on acp-2022-794', Anonymous Referee #2, 18 Jan 2023 reply

Junli Yang et al.

Junli Yang et al.

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Short summary
Downward longwave radiation (DLR) plays a vital role in weather forecasting and climate simulations. Owing to the scarcity of the DLR measurements, scientists have made effort to estimate the DLR from measurements of meteorological elements. In this study, we used a long-term (2011–2022) hourly dataset of the DLR and meteorological elements observed at seven China Baseline Surface Radiation stations to recalculate the coefficients of the Brunt and Weng models as well as to develop a new model.
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