IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i7p1374-d221286.html
   My bibliography  Save this article

Solar Irradiance Forecasts by Mesoscale Numerical Weather Prediction Models with Different Horizontal Resolutions

Author

Listed:
  • Hideaki Ohtake

    (Research Center for Photovoltaics, National Institute of Advanced Industrial Science and Technology, Ibaraki 3058568, Japan
    Meteorological Research Institute, Japan Meteorological Agency, Ibaraki 3050052, Japan)

  • Fumichika Uno

    (Research Center for Photovoltaics, National Institute of Advanced Industrial Science and Technology, Ibaraki 3058568, Japan
    Meteorological Research Institute, Japan Meteorological Agency, Ibaraki 3050052, Japan)

  • Takashi Oozeki

    (Research Center for Photovoltaics, National Institute of Advanced Industrial Science and Technology, Ibaraki 3058568, Japan)

  • Syugo Hayashi

    (Meteorological Research Institute, Japan Meteorological Agency, Ibaraki 3050052, Japan)

  • Junshi Ito

    (Meteorological Research Institute, Japan Meteorological Agency, Ibaraki 3050052, Japan
    Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 2778564, Japan)

  • Akihiro Hashimoto

    (Meteorological Research Institute, Japan Meteorological Agency, Ibaraki 3050052, Japan)

  • Hiromasa Yoshimura

    (Meteorological Research Institute, Japan Meteorological Agency, Ibaraki 3050052, Japan)

  • Yoshinori Yamada

    (Meteorological Research Institute, Japan Meteorological Agency, Ibaraki 3050052, Japan)

Abstract

This study examines the performance of radiation processes (shortwave and longwave radiations) using numerical weather prediction models (NWPs). NWP were calculated using four different horizontal resolutions (5, 2 and 1 km, and 500 m). Validation results on solar irradiance simulations with a horizontal resolution of 500 m indicated positive biases for direct normal irradiance dominate for the period from 09 JST (Japan Standard Time) to 15 JST. On the other hand, after 15 JST, negative biases were found. For diffused irradiance, weak negative biases were found. Validation results on upward longwave radiation found systematic negative biases of surface temperature (corresponding to approximately −2 K for summer and approximately −1 K for winter). Downward longwave radiation tended to be weak negative biases during both summer and winter. Frequency of solar irradiance suggested that the frequency of rapid variations of solar irradiance (ramp rates) from the NWP were less than those observed. Generally, GHI distributions between the four different horizontal resolutions resembled each other, although horizontal resolutions also became finer.

Suggested Citation

  • Hideaki Ohtake & Fumichika Uno & Takashi Oozeki & Syugo Hayashi & Junshi Ito & Akihiro Hashimoto & Hiromasa Yoshimura & Yoshinori Yamada, 2019. "Solar Irradiance Forecasts by Mesoscale Numerical Weather Prediction Models with Different Horizontal Resolutions," Energies, MDPI, vol. 12(7), pages 1-17, April.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:7:p:1374-:d:221286
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/7/1374/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/7/1374/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sosa-Tinoco, Ian & Peralta-Jaramillo, Juan & Otero-Casal, Carlos & López- Agüera, A. & Miguez-Macho, G. & Rodríguez-Cabo, I., 2016. "Validation of a global horizontal irradiation assessment from a numerical weather prediction model in the south of Sonora–Mexico," Renewable Energy, Elsevier, vol. 90(C), pages 105-113.
    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.

      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:jeners:v:12:y:2019:i:7:p:1374-:d:221286. 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.