the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A dense station-based long-term and high-accuracy dataset of daily surface solar radiation in China
Wenjun Tang
Junmei He
Jingwen Qi
Abstract. The lack of long-term and high-quality solar radiation data has been an obstacle for scientific and industrial fields. In this study, a dense station-based long- term and high-accuracy dataset of daily surface solar radiation was developed using two surface radiation models. One is the model developed by Yang et al. (2006) for global radiation estimation, and the other is the model developed by Tang et al. (2018) for direct radiation estimation. The main inputs for the development of the dataset are surface pressure, air temperature, relative humidity, horizontal visibility, and sunshine duration, which are the routine meteorological variables observed at the 2743 China Meteorological Administration (CMA) weather stations. Validation against in-situ observations and comparisons with two satellite-based radiation products show that our station-based radiation dataset clearly outperforms the satellite-based radiation products at both daily and monthly scales. In addition, our dataset is available for more than 60 years and includes three radiation components of global, direct and diffuse radiation, which is not possible with satellite products. This station-based radiation dataset will contribute to the climate change research and solar energy engineering applications in the future.
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Wenjun Tang et al.
Status: closed
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RC1: 'Comment on essd-2023-199', Anonymous Referee #1, 26 Jul 2023
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AC1: 'Reply on RC1', Wenjun Tang, 16 Aug 2023
The comment was uploaded in the form of a supplement: https://essd.copernicus.org/preprints/essd-2023-199/essd-2023-199-AC1-supplement.pdf
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AC1: 'Reply on RC1', Wenjun Tang, 16 Aug 2023
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RC2: 'Comment on essd-2023-199', Anonymous Referee #2, 27 Jul 2023
This manuscript produced a dense station-based long-term dataset of daily surface solar radiation in China at the 2473 CMA meteorological stations during 1950s -2021, and the dataset consists of estimates of global, direct and diffuse radiation. Surface solar radiation is crucial in research of agriculture, hydrology, ecology, climate change, and simulations of land surface processes. Validation against in-situ observations and comparisons with two satellite-based radiation products show that the station-based radiation dataset clearly outperforms the satellite-based radiation products at both daily and monthly scales. The dataset produced in this study was available for more than 60 years and includes three radiation components, which is not possible with satellite products. This dataset will contribute to the climate change research and solar energy engineering applications in the future. The topic is highly interesting and appropriated for ESSD. The paper is clear and well written. Therefore, I recommend its publishing on the ESSD after answering the following several minor issues.
- Line 77-78, the sentence of “Among the GEBA, there are only about 100 radiation stations (Jiang et al. 2020a), which are provided by the China Meteorological Administration (CMA).” is repeated with the sentence of “For example, there are only about 100 radiation stations maintained by CMA,” in Line 111-112.
- Line 116, “sunshine-duration-based models” should be “sunshine duration-based models”.
- Line 143-144, the sentence of “, including three elements of global radiation, direct radiation and diffuse radiation” should be polished.
- Equations (2) and (5), it should be better to use (but not ) to denote cloud transmittance for the daily direct radiation.
- Line 226, “period 1961-2021” should be “period of 1961-2021”.
- Line 242, “that of the global and diffuse radiation” should be “those of the global and diffuse radiation”.
- Line 270, “the period 1983.7-2018.12” should be “the period of 1983.7-2018.12”.
- Line 323, “a R” should be “an R”.
- Line 359, “direct and global radiation” should be “direct and diffuse radiation”.
- Line 385-386, the word “from 2000 to 2010” is redundant.
- Line 394, “W m-2” should be “W m-2”.
- Line 397, “Jiang et al. (2020a)’s” should be “Jiang et al. (2020a)”.
- The format of Tables 1 and 2 should be a “three line table”.
- Line 414, “that of the two satellite products” should be “those of the two satellite products”.
- Line 410-413, the sentence should be polished.
- Line 448, “northwester” should be “northwestern”.
Citation: https://doi.org/10.5194/essd-2023-199-RC2 -
AC2: 'Reply on RC2', Wenjun Tang, 16 Aug 2023
The comment was uploaded in the form of a supplement: https://essd.copernicus.org/preprints/essd-2023-199/essd-2023-199-AC2-supplement.pdf
Status: closed
-
RC1: 'Comment on essd-2023-199', Anonymous Referee #1, 26 Jul 2023
-
AC1: 'Reply on RC1', Wenjun Tang, 16 Aug 2023
The comment was uploaded in the form of a supplement: https://essd.copernicus.org/preprints/essd-2023-199/essd-2023-199-AC1-supplement.pdf
-
AC1: 'Reply on RC1', Wenjun Tang, 16 Aug 2023
-
RC2: 'Comment on essd-2023-199', Anonymous Referee #2, 27 Jul 2023
This manuscript produced a dense station-based long-term dataset of daily surface solar radiation in China at the 2473 CMA meteorological stations during 1950s -2021, and the dataset consists of estimates of global, direct and diffuse radiation. Surface solar radiation is crucial in research of agriculture, hydrology, ecology, climate change, and simulations of land surface processes. Validation against in-situ observations and comparisons with two satellite-based radiation products show that the station-based radiation dataset clearly outperforms the satellite-based radiation products at both daily and monthly scales. The dataset produced in this study was available for more than 60 years and includes three radiation components, which is not possible with satellite products. This dataset will contribute to the climate change research and solar energy engineering applications in the future. The topic is highly interesting and appropriated for ESSD. The paper is clear and well written. Therefore, I recommend its publishing on the ESSD after answering the following several minor issues.
- Line 77-78, the sentence of “Among the GEBA, there are only about 100 radiation stations (Jiang et al. 2020a), which are provided by the China Meteorological Administration (CMA).” is repeated with the sentence of “For example, there are only about 100 radiation stations maintained by CMA,” in Line 111-112.
- Line 116, “sunshine-duration-based models” should be “sunshine duration-based models”.
- Line 143-144, the sentence of “, including three elements of global radiation, direct radiation and diffuse radiation” should be polished.
- Equations (2) and (5), it should be better to use (but not ) to denote cloud transmittance for the daily direct radiation.
- Line 226, “period 1961-2021” should be “period of 1961-2021”.
- Line 242, “that of the global and diffuse radiation” should be “those of the global and diffuse radiation”.
- Line 270, “the period 1983.7-2018.12” should be “the period of 1983.7-2018.12”.
- Line 323, “a R” should be “an R”.
- Line 359, “direct and global radiation” should be “direct and diffuse radiation”.
- Line 385-386, the word “from 2000 to 2010” is redundant.
- Line 394, “W m-2” should be “W m-2”.
- Line 397, “Jiang et al. (2020a)’s” should be “Jiang et al. (2020a)”.
- The format of Tables 1 and 2 should be a “three line table”.
- Line 414, “that of the two satellite products” should be “those of the two satellite products”.
- Line 410-413, the sentence should be polished.
- Line 448, “northwester” should be “northwestern”.
Citation: https://doi.org/10.5194/essd-2023-199-RC2 -
AC2: 'Reply on RC2', Wenjun Tang, 16 Aug 2023
The comment was uploaded in the form of a supplement: https://essd.copernicus.org/preprints/essd-2023-199/essd-2023-199-AC2-supplement.pdf
Wenjun Tang et al.
Data sets
A dense station-based long-term and high-accuracy dataset of daily surface solar radiation in China W. Tang https://doi.org/10.11888/Atmos.tpdc.300461
Wenjun Tang et al.
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