Modeling Solar Radiation at the Earth’s Surface

Recent Advances

  • Viorel Badescu

Table of contents

  1. Front Matter
    Pages I-XXXIII
  2. Christian A. Gueymard, Daryl R. Myers
    Pages 1-27
  3. Marius Paulescu
    Pages 175-192
  4. John Boland, Barbara Ridley
    Pages 193-219
  5. Filippos S. Tymvios, Silas Chr. Michaelides, Chara S. Skouteli
    Pages 221-256
  6. Teolan Tomson, Viivi Russak, Ain Kallis
    Pages 257-281
  7. John Boland
    Pages 283-312
  8. Harry D. Kambezidis, Basil E. Psiloglou
    Pages 357-392
  9. John Davies, Jacqueline Binyamin
    Pages 411-426
  10. José Luis Torres, Luis Miguel Torres
    Pages 427-448
  11. Jesús Polo, Luis F. Zarzalejo, Lourdes Ramírez
    Pages 449-462
  12. Christian A. Gueymard, Daryl R. Myers
    Pages 479-510
  13. Back Matter
    Pages 511-517

About this book


Solar radiation data is important for a wide range of applications, e.g. in engineering, agriculture, health sector, and in many fields of the natural sciences. A few examples showing the diversity of applications may include: architecture and building design e.g. air conditioning and cooling systems; solar heating system design and use; solar power generation; weather and climate prediction models; evaporation and irrigation; calculation of water requirements for crops; monitoring plant growth and disease control; skin cancer research.

Solar radiation data must be provided in a variety of forms to suit these applications. The radiation reaching the upper atmosphere of the Earth is a quantity rather constant in time. But the radiation reaching some point on Earth surface is random in nature. The main cause is the fact that various gases within the atmosphere absorb solar radiation at different wavelengths, and clouds and dust also affect it.

There are two ways to obtaining solar radiation data at ground level: by measurement and by modelling. The book will facilitate the calculation of solar radiation required by engineers, designers and scientists and, as a result, will increase the access to needed solar radiation data.


Cloud architecture artificial neural network behavior cloud amount control distribution fractal learning model modeling neural networks solar power solar radiation temperature

Editors and affiliations

  • Viorel Badescu
    • 1
  1. 1.Candida Oancea InstitutePolytechnic University of BucharestSpl. Independentei 313Romania

Bibliographic information

Industry Sectors
Chemical Manufacturing
Finance, Business & Banking
Energy, Utilities & Environment
Oil, Gas & Geosciences