Gene expression programming and artificial neural network to estimate atmospheric temperature in Tabuk, Saudi Arabia-Reference-Cited by-同舟云学术

Gene expression programming and artificial neural network to estimate atmospheric temperature in Tabuk, Saudi Arabia

Published:2018-09-27 Issue:6 Volume:8 Page:
ISSN:2190-5487
Container-title:Applied Water Science
language:en
Short-container-title:Appl Water Sci

Author:

Azamathulla H. Md.,Rathnayake Upaka,Shatnawi Ahmad

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology

Link

http://link.springer.com/article/10.1007/s13201-018-0831-6/fulltext.html

Reference53 articles.

1. Abushandi E, Alatawi S (2015) Dam site selection using remote sensing techniques and geographical information system to control flood events in Tabuk city. Hydrol Curr Res 6(1):1–13

2. Alghamdi A, Moore T (2014) Analysis and comparison of trends in extreme temperature indices in Riyadh City, Kingdom of Saudi Arabia, 1985–2010. J Climatol 2014:1–10

3. Al-Harbi K (2010) Monitoring of agricultural area trend in Tabuk region—Saudi Arabia using Landsat TM and SPOT data. Egypt J Remote Sens Space Sci 13(1):37–42

4. Almazroui M, Islam M, Dambul R, Jones P (2013) Trends of temperature extremes in Saudi Arabia. Int J Climatol 34(3):808–826

5. Athar H (2013) Trends in observed extreme climate indices in Saudi Arabia during 1979–2008. Int J Climatol 34(5):1561–1574

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