Skip to main content
SpringerLink
Log in

Computer information system for studying spectral and angular characteristics of solar radiation

  • Atmospheric Radiation, Optical Weather, and Climate
  • Published:
Atmospheric and Oceanic Optics Aims and scope Submit manuscript

Abstract

A computer information system (CIS) “SoRad” for studying spectral and angular characteristics of solar radiation is presented. The structure and the principal objectives of the CIS, the atmospheric model for radiation computations, and the relational data model developed in this subject field are described. The client application interface, its functions, and an algorithm for working with a database application are described. Questions about the development of CIS functionality by means of external dynamic link libraries are discussed. The numerically computed and systematized data can provide the basis for different studies.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. T. V. Bedareva and T. B. Zhuravleva, “Retrieval of Aerosol Scattering Phase Function and Single Scattering Albedo according to Data of Radiation Measurements in Solar Almucantar: Numerical Simulation,” Atmos. Ocean. Opt. 24(4), 373–384 (2011).

    Article  Google Scholar 

  2. O. Dubovik and M. King, “A Flexible Inversion Algorithm for Retrieval Aerosol Optical Properties from Sun and Sky Radiance Measurements,” J. Gephys. Res., D 105(16), 20673–20696 (2000).

    Article  ADS  Google Scholar 

  3. A. Marshak, Y. Knyazikhin, K. D. Evans, and W. J. Wiscombe, “The’ RED versus NIR’ Plane to Retrieve Broken-Cloud Optical Depth from Ground-Based Measurements,” J. Atmos. Sci. 61 (2004).

  4. K. M. Firsov, T. Yu. Chesnokova, E. M. Kozodoeva, and A. Z. Fazliev, “Atmospheric Radiation Distributed Information-Computational System,” Atmos. Ocean. Opt. 23(5), 411–417 (2010).

    Article  Google Scholar 

  5. Radiation Transfer in Scattering and Absorbing Atmospheres. Common Computation Techniques, Ed. by Zh. Lenobl’ (Gidrometeoizdat, Leningrad, 1990) [in Russian].

    Google Scholar 

  6. Monte Carlo Method in Atmospheric Optics, Ed. by G.I. Marchuk (Nauka, Novosibirsk, 1976) [in Russian].

    Google Scholar 

  7. M. A. Nazaraliev, Statistical Simulation of Radiative Processes in the Atmosphere (Nauka, Novosibirsk, 1990) [in Russian].

    Google Scholar 

  8. T. B. Zhuravleva, T. V. Bedareva, D. M. Kabanov, I. M. Nasrtdinov, and S. M. Sakerin, “Specific Features of Angular Characteristics of Diffuse Solar Radiation in a Little-Cloud Atmosphere,” Atmos. Ocean. Opt. 22(6), 607–616 (2009).

    Article  Google Scholar 

  9. M. Kuznetsov and I. Simdyanov, MySQL 5 (BKhV-Peterburg, St. Petersburg, 1024) [in Russian].

  10. M. Shlee, Qt 4, Professional Programming in S++ (BKhV-Peterburg, St. Petersburg, 2007) [in Russian].

    Google Scholar 

  11. A preliminary cloudless standard atmosphere for radiation computation. World Climate Research Programme, WCP-112, WMO/TD N 24 (1986).

  12. G. Anderson, S. Clough, F. Kneizys, J. Chetwynd, and E. Shettle, AFGL Atmospheric Constituent Profiles (0–120 km). AFGL-TR-86-0110, Environ. Res. Papers, N 954 (Air Force Geophysics Laboratory, 1986).

    Google Scholar 

  13. Manual of the ICAO Standard Atmosphere (extended to 80 kilometers (262 500 feet)) (International Civil Aviation Organization, 1993), Doc 7488-CD, 3rd ed., ISBN 92-9194-004-6.

  14. S. J. Hook, ASTER Spectral Library: Johns Hopkins University (JHU) spectral library; Jet Propulsion Laboratory (JPL) spectral library; The United States Geological Survey (USGS-Reston) spectral library, 1998, Dedicated CD-ROM, Version 1.2 (http://speclib.jpl.nasa.gov).

  15. M. Hess, P. Koepke, and I. Schult, “Optical Properties of Aerosols and Clouds: The Software Package OPAC,” Bull. Amer. Meteorol. Soc. 79(5), 831–844 (1998).

    Article  ADS  Google Scholar 

  16. L. W. Abreu and G. P. Anderson, The MODTRAN 2/3 Report and LOWTRAN 7 Model (Ontar Corporation for PL/GPOS, 1996).

    Google Scholar 

  17. B. N. Holben, T. F. Eck, I. Slutsker, D. Tanre, J. P. Buis, A. Setzer, E. Vermote, J. A. Reagan, Y. J. Kaufman, T. Nakajima, F. Lavenu, I. Jankowiak, and A. Smirnov, “AERONET’—A federated instrument network and data archive for aerosol characterization,” Remote Sens. Environ. 66, 1–16 (1998).

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. V.E. Zuev Institute of Atmospheric Optics, Siberian Branch, Russian Academy of Sciences, pl. Akademica Zueva 1, Tomsk, 634021, Russia

    S. Yu. Andreev & T. V. Bedareva

Authors
  1. S. Yu. Andreev
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. T. V. Bedareva
    View author publications

    You can also search for this author in PubMed Google Scholar

Additional information

Original Russian Text © S.Yu. Andreev, T.V. Bedareva, 2013, published in Optica Atmosfery i Okeana.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Andreev, S.Y., Bedareva, T.V. Computer information system for studying spectral and angular characteristics of solar radiation. Atmos Ocean Opt 26, 427–431 (2013). https://doi.org/10.1134/S1024856013050035

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S1024856013050035

Keywords

Search

Navigation