PL EN


Preferences help
enabled [disable] Abstract
Number of results
2017 | 132 | 3 | 655-657
Article title

Trend Detection in Climate Change Indicators Using Non-Parametric Statistics: A Case Study of Abu Dhabi, United Arab Emirates

Content
Title variants
Languages of publication
EN
Abstracts
EN
This study focuses on detecting trends for climate change indicators, such as average monthly temperature, rainfall, humidity, and wind speed for fourteen stations located between Al Ain and Abu Dhabi cities of the United Arab Emirates. Mann-Kendall non-parametric test was run on monthly time series data for the period 2003-2015 with consideration of seasonality. Significant increasing/decreasing trends in rainfall (for four stations), humidity (for six stations), and wind speed (for nine stations) were detected while no significant trend was observed in temperature for all stations.
Keywords
EN
Contributors
author
  • United Arab Emirates University, Al Ain, UAE
author
  • United Arab Emirates University, Al Ain, UAE
author
  • United Arab Emirates University, Al Ain, UAE
author
  • United Arab Emirates University, Al Ain, UAE
author
  • United Arab Emirates University, Al Ain, UAE
  • National Center of Meteorology and Seismology, Abu Dhabi, UAE
References
  • [1] A.R. Murumkar, D.S. Arya, Am. J. Climate Change 3, 60 (2014), doi: 10.4236/ajcc.2014.31006
  • [2] State of Environment of the United Arab Emirates Report, Ministry of Environment and Water, Abu Dhabi 2015 http://www.moew.gov.ae
  • [3] H. Arman, Int. J. Global Warm. 8, 1 (2015), doi: 10.1504/IJGW.2015.071575
  • [4] Climate Change 2013 The Physical Science Basis, Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change, Ed. T.F. Stocker, 2013 http://www.ipcc.ch/pdf/assessment-report/ar5/wg1/WG1AR5_Frontmatter_FINAL.pdf
  • [5] S.S. Chinchorkar, F.G. Sayyad, V.B. Vaidya, V. Pandye, MAUSAM 66, 1 (2015)
  • [6] N. Karmeshu, Trend detection in annual temperature & precipitation using the Mann Kendall test - A Case Study to Assess Climate Change on Select States in the Northeastern United States, 2012
  • [7] T. Partal, E. Kahya, Hydrolog. proc. 20, 2011 (2006), doi: 10.1002/hyp.5993
  • [8] B. Mapurisa, D. Chikodzi, Am. J. Climate Change 3, 50 (2014), doi: 10.4236/ajcc.2014.31005
  • [9] R.M. Hirsch, J.R. Slack, R.A. Smith, Water Resourc. Res. 18, 107 (1982), doi: 10.1029/WR018i001p00107
  • [10] J.R. Lanzante, S.A. Klein, D.J. Seidel, J. Climate 16, 241 (2003), doi: 10.1175/1520-0442(2003)016%3C0241:THOMRT%3E2.0.CO;2
  • [11] M. Rebetez, M. Reinhard, Theoret. Appl. Climatol. 91, 27 (2008), doi: 10.1007/s00704-007-0296-2
  • [12] Climate Data for Temperature, Rainfall, Humidity, and Wind Speed, NCMS and DMCD, Abu Dhabi 2015
  • [13] H. Tabari, S. Marofi, A. Aeini, P.H. Talaee, K. Mohammadi, Agricult. Forest Meteorol. 151, 128 (2011), doi: 10.1016/j.agrformet.2010.09.009
  • [14] B. Önöz, M. Bayazit, Turk. J. Engin. Environ. Sci. 27, 247 (2003)
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.bwnjournal-article-appv132n3p067kz
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.