Reconstruction of daily photosynthetically active radiation and its trends over China

Tang, Wenjun; Qin, Jun; Yang, Kun; Niu, Xiaodi; Zhang, Xiaolin; Yu, Yu; Zhu, Xudong

doi:10.1002/2013jd020527

Cited by 27 publications

(22 citation statements)

References 64 publications

(106 reference statements)

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“…7. This distribution is similar to the distributions of photosynthetically active radiation and surface solar radiation reconstructed by Tang et al (2013aTang et al ( , 2013b.…”

Section: Sample Description Of the Observed Uv Radiation Valuessupporting

confidence: 78%

Two ultraviolet radiation datasets that cover China

Liu

Wang

et al. 2017

Adv. Atmos. Sci.

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Ultraviolet (UV) radiation has significant effects on ecosystems, environments, and human health, as well as atmospheric processes and climate change. Two ultraviolet radiation datasets are described in this paper. One contains hourly observations of UV radiation measured at 40 Chinese Ecosystem Research Network stations from 2005 to 2015. CUV3 broadband radiometers were used to observe the UV radiation, with an accuracy of 5%, which meets the World Meteorology Organization's measurement standards. The extremum method was used to control the quality of the measured datasets. The other dataset contains daily cumulative UV radiation estimates that were calculated using an all-sky estimation model combined with a hybrid model. The reconstructed daily UV radiation data span from 1961 to 2014. The mean absolute bias error and root-mean-square error are smaller than 30% at most stations, and most of the mean bias error values are negative, which indicates underestimation of the UV radiation intensity. These datasets can improve our basic knowledge of the spatial and temporal variations in UV radiation. Additionally, these datasets can be used in studies of potential ozone formation and atmospheric oxidation, as well as simulations of ecological processes. The dataset consists of two compressed files, with the file names "observed uv radiation.zip" and "reconstructed uv radiation.zip". 1. The file "observed uv radiation.zip" contains the in situ-measured UV radiation dataset and comprises 40Excel worksheets. Each file contains the data collected at a single station. 2. The file "reconstructed uv radiation.zip" contains the reconstructed UV radiation dataset, which consists of 725 .txt files. The file named "station information.txt" contains information on the site locations, and the other 724 file names correspond to the station codes.

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“…7. This distribution is similar to the distributions of photosynthetically active radiation and surface solar radiation reconstructed by Tang et al (2013aTang et al ( , 2013b.…”

Section: Sample Description Of the Observed Uv Radiation Valuessupporting

confidence: 78%

Two ultraviolet radiation datasets that cover China

Liu

Wang

et al. 2017

Adv. Atmos. Sci.

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“…This may indicate that there may be some physical connection between cloud transmittance and relative sunshine duration. The model of Qin et al () was also applied to reconstruct a data set of daily PAR over China by Tang, Qin, et al (), and the accuracy of the data set is comparable to that of a local‐calibrated model. In a word, thus, we may expect that the cloud transmittance calibrated in the United States could work well in China to construct a data set of daily direct radiation.…”

Section: Resultsmentioning

confidence: 99%

First Effort for Constructing a Direct Solar Radiation Data Set in China for Solar Energy Applications

et al. 2018

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Accurate estimate of direct solar radiation is a prerequisite for the design of concentrated solar power thermal systems; however, direct radiation observations are very sparse compared to observations of routine meteorological variables. Therefore, this study developed a method for estimating daily direct radiation from routine observations, based mainly on a clear‐sky physical model to compute clear‐sky direct radiation and a parameterized formula to compute cloud transmittance from sunshine duration data. The parameters of the cloud transmittance formula were calibrated with high‐quality radiation data measured in the United States. The validation results at independent stations in the United States were comparable to those at the calibration stations, indicating that the method is suitable for various climatic and geographic conditions. We applied this method to compile a long‐term, high‐density data set of daily direct radiation over China based on observations from 2,473 routine weather stations of the China Meteorological Administration (CMA) network. Although the root‐mean‐square error of the data set from the 20 CMA radiation stations at which the direct solar radiations have been observed since 1993 is about 27.3 W m−2, the accuracy of the data set for CMA routine weather stations with less severe air pollution should be better. The newly developed data set in this study, which is available upon request, will contribute to the development of concentrated solar power thermal systems throughout China.

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“…[21,12,35]). PAR has to be estimated through either empirical/semiphysical methods or remote sensing techniques (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Though Zhu et al [50] analyzed the interannual variations of PAR in recent 50 years, but their empirical model based on sunshine duration and 4-year observations has not been tested (the model accuracy was unknown); the possible reasons for the spatiotemporal variability has also not been analyzed. Tang et al [35] reconstructed daily PAR over China using a semiphysical method based on meteorological data, their model results were compared with measurements at 10 stations across the whole country, which should be further tested; they also have not analyzed the longterm variations of PAR in China in detail. Our earlier study Wang et al [42] proposed an efficient all-sky model for estimating PAR under various sky conditions and reconstructed the historical values in Wuhan, central China, but there is no more information about how PAR evolved during the past 52 years (1961-2012) for the whole country (at national scale) in China, especially the hourly/daily cumulative values.…”

Section: Introductionmentioning

confidence: 99%