IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i15p8906-d869055.html
   My bibliography  Save this article

Long-Term Variations in Global Solar Radiation and Its Interaction with Atmospheric Substances at Qomolangma

Author

Listed:
  • Jianhui Bai

    (LAGEO, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China)

  • Xuemei Zong

    (LAGEO, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China)

  • Yaoming Ma

    (State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
    College of Atmospheric Science, Lanzhou University, Lanzhou 730000, China
    National Observation and Research Station for Qomolongma Special Atmospheric Processes and Environmental Changes, Dingri, Shigatse 858200, China)

  • Binbin Wang

    (State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
    National Observation and Research Station for Qomolongma Special Atmospheric Processes and Environmental Changes, Dingri, Shigatse 858200, China)

  • Chuanfeng Zhao

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China)

  • Yikung Yang

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China)

  • Jie Guang

    (State Environment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China)

  • Zhiyuan Cong

    (State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Kaili Li

    (Nanjing Zhongkehuaxing Emergency Science and Technology Research Institute, Nanjing 211899, China)

  • Tao Song

    (Nanjing Zhongkehuaxing Emergency Science and Technology Research Institute, Nanjing 211899, China)

Abstract

An empirical model to estimate global solar radiation was developed at Qomolangma Station using observed solar radiation and meteorological parameters. The predicted hourly global solar radiation agrees well with observations at the ground in 2008–2011. This model was used to calculate global solar radiation at the ground and its loss in the atmosphere due to absorbing and scattering substances in 2007–2020. A sensitivity analysis shows that the responses of global solar radiation to changes in water vapor and scattering factors (expressed as water-vapor pressure and the attenuation factor, AF, respectively) are nonlinear, and global solar radiation is more sensitive to changes in scattering than to changes in absorption. Further applying this empirical model, the albedos at the top of the atmosphere (TOA) and the surface in 2007–2020 were computed and are in line with satellite-based retrievals. During 2007–2020, the mean estimated annual global solar radiation increased by 0.22% per year, which was associated with a decrease in AF of 1.46% and an increase in water-vapor pressure of 0.37% per year. The annual mean air temperature increased by about 0.16 °C over the 14 years. Annual mean losses of solar radiation caused by absorbing and scattering substances and total loss were 2.55, 0.64, and 3.19 MJ m −2 , respectively. The annual average absorbing loss was much larger than the scattering loss; their contributions to the total loss were 77.23% and 22.77%, indicating that absorbing substances play significant roles. The annual absorbing loss increased by 0.42% per year, and scattering and total losses decreased by 2.00% and 0.14% per year, respectively. The estimated and satellite-derived annual albedos increased at the TOA and decreased at the surface. This study shows that solar radiation and its interactions with atmospheric absorbing and scattering substances have played key but different roles in regional climate and climate change at the three poles.

Suggested Citation

  • Jianhui Bai & Xuemei Zong & Yaoming Ma & Binbin Wang & Chuanfeng Zhao & Yikung Yang & Jie Guang & Zhiyuan Cong & Kaili Li & Tao Song, 2022. "Long-Term Variations in Global Solar Radiation and Its Interaction with Atmospheric Substances at Qomolangma," IJERPH, MDPI, vol. 19(15), pages 1-24, July.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:8906-:d:869055
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/15/8906/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/15/8906/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Myers, Daryl R., 2005. "Solar radiation modeling and measurements for renewable energy applications: data and model quality," Energy, Elsevier, vol. 30(9), pages 1517-1531.
    2. Psiloglou, B.E. & Kambezidis, H.D. & Kaskaoutis, D.G. & Karagiannis, D. & Polo, J.M., 2020. "Comparison between MRM simulations, CAMS and PVGIS databases with measured solar radiation components at the Methoni station, Greece," Renewable Energy, Elsevier, vol. 146(C), pages 1372-1391.
    3. John Turner & Hua Lu & Ian White & John C. King & Tony Phillips & J. Scott Hosking & Thomas J. Bracegirdle & Gareth J. Marshall & Robert Mulvaney & Pranab Deb, 2016. "Absence of 21st century warming on Antarctic Peninsula consistent with natural variability," Nature, Nature, vol. 535(7612), pages 411-415, July.
    4. Zang, Haixiang & Cheng, Lilin & Ding, Tao & Cheung, Kwok W. & Wang, Miaomiao & Wei, Zhinong & Sun, Guoqiang, 2019. "Estimation and validation of daily global solar radiation by day of the year-based models for different climates in China," Renewable Energy, Elsevier, vol. 135(C), pages 984-1003.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jianhui Bai & Xuemei Zong & Christian Lanconelli & Angelo Lupi & Amelie Driemel & Vito Vitale & Kaili Li & Tao Song, 2022. "Long-Term Variations of Global Solar Radiation and Its Potential Effects at Dome C (Antarctica)," IJERPH, MDPI, vol. 19(5), pages 1-30, March.
    2. Paulescu, Marius & Badescu, Viorel & Budea, Sanda & Dumitrescu, Alexandru, 2022. "Empirical sunshine-based models vs online estimators for solar resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    3. Feng, Yu & Hao, Weiping & Li, Haoru & Cui, Ningbo & Gong, Daozhi & Gao, Lili, 2020. "Machine learning models to quantify and map daily global solar radiation and photovoltaic power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
    4. Ziyu Bai & Guoqiang Sun & Haixiang Zang & Ming Zhang & Peifeng Shen & Yi Liu & Zhinong Wei, 2019. "Identification Technology of Grid Monitoring Alarm Event Based on Natural Language Processing and Deep Learning in China," Energies, MDPI, vol. 12(17), pages 1-19, August.
    5. Zhang, Sheng & Huang, Pei & Sun, Yongjun, 2016. "A multi-criterion renewable energy system design optimization for net zero energy buildings under uncertainties," Energy, Elsevier, vol. 94(C), pages 654-665.
    6. Federico Minelli & Diana D’Agostino & Maria Migliozzi & Francesco Minichiello & Pierpaolo D’Agostino, 2023. "PhloVer: A Modular and Integrated Tracking Photovoltaic Shading Device for Sustainable Large Urban Spaces—Preliminary Study and Prototyping," Energies, MDPI, vol. 16(15), pages 1-35, August.
    7. Jha, Sunil Kr. & Bilalovic, Jasmin & Jha, Anju & Patel, Nilesh & Zhang, Han, 2017. "Renewable energy: Present research and future scope of Artificial Intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 297-317.
    8. Sánchez-Aparicio, M. & Martín-Jiménez, J. & Del Pozo, S. & González-González, E. & Lagüela, S., 2021. "Ener3DMap-SolarWeb roofs: A geospatial web-based platform to compute photovoltaic potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    9. Jesús-Ignacio Prieto & David García & Ruth Santoro, 2022. "Comparative Analysis of Accuracy, Simplicity and Generality of Temperature-Based Global Solar Radiation Models: Application to the Solar Map of Asturias," Sustainability, MDPI, vol. 14(11), pages 1-29, May.
    10. Ángel Gómez-Moreno & Pedro José Casanova-Peláez & José Manuel Palomar-Carnicero & Fernando Cruz-Peragón, 2016. "Modeling and Experimental Validation of a Low-Cost Radiation Sensor Based on the Photovoltaic Effect for Building Applications," Energies, MDPI, vol. 9(11), pages 1-16, November.
    11. Yang, Liu & Cao, Qimeng & Yu, Ying & Liu, Yan, 2020. "Comparison of daily diffuse radiation models in regions of China without solar radiation measurement," Energy, Elsevier, vol. 191(C).
    12. Younes, S. & Muneer, T., 2007. "Clear-sky classification procedures and models using a world-wide data-base," Applied Energy, Elsevier, vol. 84(6), pages 623-645, June.
    13. Ahmed Aljanad & Nadia M. L. Tan & Vassilios G. Agelidis & Hussain Shareef, 2021. "Neural Network Approach for Global Solar Irradiance Prediction at Extremely Short-Time-Intervals Using Particle Swarm Optimization Algorithm," Energies, MDPI, vol. 14(4), pages 1-20, February.
    14. Munawwar, Saima & Muneer, Tariq, 2007. "Statistical approach to the proposition and validation of daily diffuse irradiation models," Applied Energy, Elsevier, vol. 84(4), pages 455-475, April.
    15. Muneer, T. & Younes, S. & Munawwar, S., 2007. "Discourses on solar radiation modeling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(4), pages 551-602, May.
    16. Cheng, Tsung-Chieh & Cheng, Chin-Hsiang & Huang, Zhu-Zin & Liao, Guo-Chun, 2011. "Development of an energy-saving module via combination of solar cells and thermoelectric coolers for green building applications," Energy, Elsevier, vol. 36(1), pages 133-140.
    17. Zehir, Mustafa Alparslan & Batman, Alp & Bagriyanik, Mustafa, 2016. "Review and comparison of demand response options for more effective use of renewable energy at consumer level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 631-642.
    18. Özdemir, Samed & Yavuzdoğan, Ahmet & Bilgilioğlu, Burhan Baha & Akbulut, Zeynep, 2023. "SPAN: An open-source plugin for photovoltaic potential estimation of individual roof segments using point cloud data," Renewable Energy, Elsevier, vol. 216(C).
    19. Tefera Mekonnen & Ramchandra Bhandari & Venkata Ramayya, 2021. "Modeling, Analysis and Optimization of Grid-Integrated and Islanded Solar PV Systems for the Ethiopian Residential Sector: Considering an Emerging Utility Tariff Plan for 2021 and Beyond," Energies, MDPI, vol. 14(11), pages 1-24, June.
    20. Ameur, Arechkik & Berrada, Asmae & Bouaichi, Abdellatif & Loudiyi, Khalid, 2022. "Long-term performance and degradation analysis of different PV modules under temperate climate," Renewable Energy, Elsevier, vol. 188(C), pages 37-51.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:8906-:d:869055. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.