Articles | Volume 23, issue 7
https://doi.org/10.5194/acp-23-4419-2023
© 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-23-4419-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Parameterization of downward long-wave radiation based on long-term baseline surface radiation measurements in China
Junli Yang
CMA Earth System Modelling and Prediction Centre (CEMC), China
Meteorological Administration, Beijing, 100081, China
State Key Laboratory of Severe Weather (LaSW), China Meteorological
Administration, Beijing, 100081, China
Jianglin Hu
CMA Earth System Modelling and Prediction Centre (CEMC), China
Meteorological Administration, Beijing, 100081, China
State Key Laboratory of Severe Weather (LaSW), China Meteorological
Administration, Beijing, 100081, China
Qiying Chen
CMA Earth System Modelling and Prediction Centre (CEMC), China
Meteorological Administration, Beijing, 100081, China
State Key Laboratory of Severe Weather (LaSW), China Meteorological
Administration, Beijing, 100081, China
Beijing Weather Forecast Centre, Beijing Meteorological Service,
Beijing, 100097, China
Environmental Meteorology Forecast Centre of Beijing–Tianjin–Hebei,
Beijing, 100097, China
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Due to the difficulties involved in the measurements of the Downward long-wave irradiance (DnLWI), the numerical weather prediction (NWP) models have been developed to obtain the DnLWI indirectly. In this study, a long-term high time-resolution (1 min) observational dataset of the DnLWI in China was used to evaluate the radiation scheme in the CMA-MESO model over various underlying surfaces and climate zones.
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Radiation components play important roles in various fields such as the Earth’s surface radiation budget, ecosystem productivity, and human health. In this study, a dataset consisting of quality-assured daily data of nine radiation components is presented based on the in situ measurements at the Shangdianzi regional GAW station in China during 2013–2022. The dataset can be applied in the validation of satellite products and numerical models and investigation of atmospheric radiation.
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Short summary
Downward long-wave radiation (DLR) affects energy exchange between the land surface and the atmosphere, while it is seldom observed at conventional radiation stations. Therefore, parameterization of DLR based on the near-surface meteorological variables provides a chance to estimate the DLR over most meteorological stations. This work established three parameterizations suited to estimating the DLR over China by using the measurements from the CBSRN with an accuracy of ~6.1 %.
Downward long-wave radiation (DLR) affects energy exchange between the land surface and the...
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