Skip to main content
Log in

Evaluation of sunshine duration and temporal–spatial distribution based on geostatistical methods in Iran

  • Original Paper
  • Published:
International Journal of Environmental Science and Technology Aims and scope Submit manuscript

Abstract

The present study made use of daily and monthly sunshine duration hours per day data from Islamic Republic of Iran Meteorological Organization from 1974 to 2005. Various methods have used geostatistical interpolation. With the cross-validation method and analysis of validation criteria, the empirical Bayesian kriging with is future to have better performance for the temporal–spatial distribution. The results indicate there is enough sunshine duration, i.e., 5 h per day during the cold period of the year, and in the warm period, the figure increases to more than 10 h. While sunshine duration has an upward trend, cloudiness shows a downward trend in Iran. The spatial distribution of sunshine duration is strongly influenced by local conditions. On the coast of the Caspian Sea, which has a high latitude and the longest days, the least sunshine duration occurs in all seasons. Even in south coast, which has a lower latitude, a reduction in the sunshine duration hours takes place in warm months because of the cloudiness along the coastal regions. Desert regions with the arid climatic in the center, south and east of Iran enjoy the maximum sunshine duration hours. In the western half of the country due to unevenness density, the number of sunshine hours is less than the eastern half. Eastern, central and southeastern regions in Iran have the most optimal sunshine duration. In general, the sunshine duration increases from north to south.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Aksoy B (1999) Analysis of changes in sunshine duration data for Ankara, Turkey. Theor Appl Climatol 64(3–4):229–237

    Article  Google Scholar 

  • Alijani B, O’brien J, Yarnal B (2008) Spatial analysis of precipitation intensity and concentration in Iran. Theor Appl Climatol 94(1–2):107–124

    Article  Google Scholar 

  • Apaydin H, Anli AS, Ozturk F (2011) Evaluation of topographical and geographical effects on some climatic parameters in the Central Anatolia Region of Turkey. Int J Climatol 31(9):1264–1279

    Article  Google Scholar 

  • Bhunia GS, Shit PK, Maiti R (2016) Comparison of GIS-based interpolation methods for spatial distribution of soil organic carbon (SOC). J Saudi Soc Agric Sci. doi:10.1016/j.jssas.2016.02.001

    Article  Google Scholar 

  • Dobesch H (1992) On the variations of sunshine duration in Austria. Theor Appl Climatol 46(1):33–38

    Article  Google Scholar 

  • Ertekin C, Evrendilek F (2007) Spatio-temporal modeling of global solar radiation dynamics as a function of sunshine duration for Turkey. Agric For Meteorol 145:36–47

    Article  Google Scholar 

  • ESRI (2001) ArcGIS geostatistical analyst: statistical tools for data exploration, modeling, and advanced surface generation. pp 1–19. An ESRI white paper. Redlands, CA

  • Founda D, Kalimeris A, Pierros F (2014) Multi annual variability and climatic signal analysis of sunshine duration at a large urban area of Mediterranean (Athens). Urban Clim 10:815–830

    Article  Google Scholar 

  • Gil V, Gaertner MA, Sanchez E, Gallardo C, Hagel E, Tejeda C, de Castro M (2015) Analysis of interannual variability of sunshine hours and precipitation over Peninsular Spain. Renew Energy 83:680–689

    Article  Google Scholar 

  • Hasanipak EA (2011) Geostatistics. The University of Tehran Publisher, Tehran

    Google Scholar 

  • Isaaks EH, Srivastava RM (1989) An introduction to applied geostatistics. The Oxford University Press, Oxford

    Google Scholar 

  • Jarraud M (2008) Guide to meteorological instruments and methods of observation (WMO-No. 8). World Meteorological Organisation, Geneva

    Google Scholar 

  • Johnston K, VerHoef JM, Krivoruchko K, Lucas N (2001) Using Arc-GIS. Geostatistical analyst. ESRI, 300 p. California

  • Krivoruchko K (2004) Introduction to modeling spatial processes using geostatistical analyst. ESRI Educational and Research Papers, Redland. http://www.esri.com/library/whitepapers/pdfs/intro-modeling.pdf

  • Majani BS (2007) Analysis of external drift kriging algorithm with application to precipitation estimation in complex orography. International Institute for Geo-Information Science and Earth Observation Enschede, Enschede, pp 1–91

  • Massodian SA (2012) Climatology of Iran. Shariaeh Toos Press, Isfahan

    Google Scholar 

  • Matzarakis AP, Katsoulis VD (2006) Sunshine duration hours over the Greek region. Theor Appl Climatol 83(1–4):107–120

    Article  Google Scholar 

  • Monger SH, Monger ER, Dyreson AR, Acker TL (2016) Applying the kriging method to predicting irradiance variability at a potential PV power plant. Renew Energy 86:602–610

    Article  Google Scholar 

  • Park JK, Das A, Park JH (2015) Anew approach to estimate the apatial distribution of solar radiation using topographic factor and sunshine duration in South Korea. Energy Convers Manag 101:30–39

    Article  Google Scholar 

  • Philip GM, Watson DF (1982) A precise method for determining contoured surfaces. Aust Petrol Explor Assoc J 22(1):205–212

    Google Scholar 

  • Power HC, Mills DM (2005) Solar radiation climate change over Southern Africa and an assessment of the radiative impact of volcanic eruptions. Int J Climatol 25(3):295–318

    Article  Google Scholar 

  • Price DT, McKenney DW, Nalder IA, Hutchinson MF, Kesteven JL (2000) A comparison of two statistical methods for spatial interpolation of Canadian monthly mean climate data. Agric For Meteorol 101(2):81–94

    Article  Google Scholar 

  • Rehman S, Ghori SG (2000) Spatial estimation of global solar radiation using geostatistics. Renew Energy 21(3):583–605

    Article  CAS  Google Scholar 

  • Sanchez-Lorenzo A, Calbó J, Martin-Vide J (2008) Spatial and temporal trends in sunshine duration over Western Europe (1938–2004). J Clim 21(22):6089–6098

    Article  Google Scholar 

  • Weber GR (1990) Spatial and temporal variation of sunshine in the Federal Republic of Germany. Theor Appl Climatol 41(1–2):1–9

    Article  CAS  Google Scholar 

  • Wibig J (2008) Cloudiness variations in Łódź in the second half of the 20th century. Int J Climatol 28(4):479–491

    Article  Google Scholar 

  • Wu W, Tang XP, Yang C, Gue NJ, Liu HB (2013) Spatial estimation of monthly mean daily sunshine hours and solar radiation across mainland China. Renew Energy 57:546–553

    Article  Google Scholar 

Download references

Acknowledgements

The researchers of the study therefore express their gratitude and appreciation to the Islamic Republic of Iran Meteorological Organization (IRIMO) for providing the data of the meteorological stations in this study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to H. Ahmadi.

Additional information

Editorial responsibility: Mohamed Fathy Yassin.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ahmadi, H., Ahmadi, F. Evaluation of sunshine duration and temporal–spatial distribution based on geostatistical methods in Iran. Int. J. Environ. Sci. Technol. 16, 1589–1602 (2019). https://doi.org/10.1007/s13762-017-1608-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13762-017-1608-4

Keywords

Navigation