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Long-Term Trends in Photosynthetically Active Radiation in Beijing


doi: 10.1007/s00376-010-9204-2

  • A long-term dataset of photosynthetically active radiation (Qp) is reconstructed from a broadband global solar radiation (Rs) dataset through an all-weather reconstruction model. This method is based on four years' worth of data collected in Beijing. Observation data of Rs and Qp from 2005--2008 are used to investigate the temporal variability of Qp and its dependence on the clearness index and solar zenith angle. A simple and efficient all-weather empirically derived reconstruction model is proposed to reconstruct Qp from Rs. This reconstruction method is found to estimate instantaneous Qp with high accuracy. The annual mean of the daily values of Qp during the period 1958--2005 period is 25.06 mol m-2 d-1. The magnitude of the long-term trend for the annual averaged Qp is presented (-0.19 mol m-2 yr-1 from 1958--1997 and -0.12 mol m-2 yr-1 from 1958--2005). The trend in Qp exhibits sharp decreases in the spring and summer and more gentle decreases in the autumn and winter.
  • [1] T. C. LEE, H. S. CHAN, E. W. L. GINN, M. C. WONG, 2011: Long-Term Trends in Extreme Temperatures in Hong Kong and Southern China, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 147-157.  doi: 10.1007/s00376-010-9160-x
    [2] Zhaoliang ZENG, Zemin WANG, Minghu DING, Xiangdong ZHENG, Xiaoyu SUN, Wei ZHU, Kongju ZHU, Jiachun AN, Lin ZANG, Jianping GUO, Baojun ZHANG, 2021: Estimation and Long-term Trend Analysis of Surface Solar Radiation in Antarctica: A Case Study of Zhongshan Station, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 1497-1509.  doi: 10.1007/s00376-021-0386-6
    [3] Wenying HE, Hongbin CHEN, Xiang’ao XIA, Shengli WU, Peng ZHANG, 2023: Evaluation of the Long-term Performance of Microwave Radiation Imager Onboard Chinese Fengyun Satellites, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 1257-1268.  doi: 10.1007/s00376-023-2199-2
    [4] WEI Ke, CHEN Wen, HUANG Ronghui, 2006: Long-Term Changes of the Ultraviolet Radiation in China and its Relationship with Total Ozone and Precipitation, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 700-710.  doi: 10.1007/s00376-006-0700-3
    [5] Kyu Rang KIM, Tae Heon KWON, Yeon-Hee KIM, Hae-Jung KOO, Byoung-Cheol CHOI, Chee-Young CHOI, 2009: Restoration of an Inner-City Stream and Its Impact on Air Temperature and Humidity Based on Long-Term Monitoring Data, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 283-292.  doi: 10.1007/s00376-009-0283-x
    [6] Pucai WANG, N. F. ELANSKY, Yu. M. TIMOFEEV, Gengchen WANG, G. S. GOLITSYN, M. V. MAKAROVA, V. S. RAKITIN, Yu. SHTABKIN, A. I. SKOROKHOD, E. I. GRECHKO, E.V. FOKEEVA, A. N. SAFRONOV, Liang RAN, Ting WANG, 2018: Long-Term Trends of Carbon Monoxide Total Columnar Amount in Urban Areas and Background Regions: Ground- and Satellite-based Spectroscopic Measurements, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 785-795.  doi: 10.1007/s00376-017-6327-8
    [7] Lei LIU, Fei HU, 2019: Long-term Correlations and Extreme Wind Speed Estimations, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 1121-1128.  doi: 10.1007/s00376-019-9031-z
    [8] Tomio Asai, Yasumasa Kodama, Ji-Cang Zhu, 1988: LONG-TERM VARIATIONS OF CYCLONE ACTIVITIES IN EAST ASIA, ADVANCES IN ATMOSPHERIC SCIENCES, 5, 149-158.  doi: 10.1007/BF02656777
    [9] Xiong Anyuan, Wu Yijin, Cai Shuming, 1999: Reconstruction of the Rainfall in Rainy Season Based on Historical Drought/ Flood Grades, ADVANCES IN ATMOSPHERIC SCIENCES, 16, 147-153.  doi: 10.1007/s00376-999-0010-7
    [10] Jozsef SZILAGYI, Richard CRAGO, Ning MA, 2020: Dynamic Scaling of the Generalized Complementary Relationship Improves Long-term Tendency Estimates in Land Evaporation, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 975-986.  doi: 10.1007/s00376-020-0079-6
    [11] Fei ZHENG, Jianping LI, Shuailei YAO, 2021: Intermodel Diversity of Simulated Long-term Changes in the Austral Winter Southern Annular Mode: Role of the Southern Ocean Dipole, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 375-386.  doi: 10.1007/s00376-020-0241-1
    [12] FENG Lin, WU Dexing, LIN Xiaopei, MENG Xiangfeng, 2010: The Effect of Regional Ocean-Atmosphere Coupling on the Long-term Variability in the Pacific Ocean, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 393-402.  doi: 10.1007/s00376-009-8195-3
    [13] LIN Pengfei, YU Yongqiang, LIU Hailong, 2013: Long-term Stability and Oceanic Mean State Simulated by the Coupled Model FGOALS-s2, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 175-192.  doi: 10.1007/s00376-012-2042-7
    [14] Zhen LI, Zhongwei YAN, Lijuan CAO, Phil D. JONES, 2018: Further-Adjusted Long-Term Temperature Series in China Based on MASH, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 909-917.  doi: 10.1007/s00376-018-7280-x
    [15] Ping LIANG, Yihui DING, 2017: The Long-term Variation of Extreme Heavy Precipitation and Its Link to Urbanization Effects in Shanghai during 1916-2014, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 321-334.  doi: 10.1007/s00376-016-6120-0
    [16] Yong ZHANG, Lejian ZHANG, Jianping GUO, Jinming FENG, Lijuan CAO, Yang WANG, Qing ZHOU, Liangxu LI, Bai LI, Hui XU, Lin LIU, Ning AN, Huan LIU, 2018: Climatology of Cloud-base Height from Long-term Radiosonde Measurements in China, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 158-168.  doi: 10.1007/s00376-017-7096-0
    [17] Bruno FERRERO, Marcos TONELLI, Fernanda MARCELLO, Ilana WAINER, 2021: Long-term Regional Dynamic Sea Level Changes from CMIP6 Projections, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 157-167.  doi: 10.1007/s00376-020-0178-4
    [18] Wang Duo, Zhang Tan, 1989: The Band Characteristics of Long-Term Variation of Precipitation and Water Resources in East Asia Monsoon Region, ADVANCES IN ATMOSPHERIC SCIENCES, 6, 347-356.  doi: 10.1007/BF02661540
    [19] Jin Long, LuoYing, Lin Zhenshan, 1997: Comparison of Long-Term Forecasting of June-August Rainfall over Changjiang-Huaihe Valley, ADVANCES IN ATMOSPHERIC SCIENCES, 14, 87-92.  doi: 10.1007/s00376-997-0047-4
    [20] Ming LI, Yongheng BI, Yonghai SHEN, Yinan Wang, Ciren Nima, Tianlu CHEN, Daren Lu, 2024: Microphysical Characteristics of Rainfall Based on Long-Term Observations with 2DVD in Yangbajing, Tibet, ADVANCES IN ATMOSPHERIC SCIENCES.  doi: 10.1007/s00376-024-3299-3

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Manuscript History

Manuscript received: 10 November 2010
Manuscript revised: 10 November 2010
通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Long-Term Trends in Photosynthetically Active Radiation in Beijing

  • 1. State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029

Abstract: A long-term dataset of photosynthetically active radiation (Qp) is reconstructed from a broadband global solar radiation (Rs) dataset through an all-weather reconstruction model. This method is based on four years' worth of data collected in Beijing. Observation data of Rs and Qp from 2005--2008 are used to investigate the temporal variability of Qp and its dependence on the clearness index and solar zenith angle. A simple and efficient all-weather empirically derived reconstruction model is proposed to reconstruct Qp from Rs. This reconstruction method is found to estimate instantaneous Qp with high accuracy. The annual mean of the daily values of Qp during the period 1958--2005 period is 25.06 mol m-2 d-1. The magnitude of the long-term trend for the annual averaged Qp is presented (-0.19 mol m-2 yr-1 from 1958--1997 and -0.12 mol m-2 yr-1 from 1958--2005). The trend in Qp exhibits sharp decreases in the spring and summer and more gentle decreases in the autumn and winter.

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