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

• Authors: A. Basarir , H. Arman , S. Hussein , A. Murad , A. Aldahan , M. Abdulla Al-Abri
• 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

92.70.Kb; 92.05.Df

Discipline

• 92.05.Df: Climate and inter-annual variability(see also 92.60.Ry Climatology, climate change and variability—in meteorology; 92.70.Gt Climate dynamics—in Global change)
• 92.70.Kb: Regional climate change(see also 92.60.Ry—in meteorology; 92.30.Bc—in Geophysics Appendix)

• Publisher: Institute of Physics, Polish Academy of Sciences
• Journal: Acta Physica Polonica A
• Year: 2017
• Volume: 132
• Issue: 3
• Pages: 655-657

Dates

published

2017-09

Contributors

author

A. Basarir

• United Arab Emirates University, Al Ain, UAE

author

H. Arman

• United Arab Emirates University, Al Ain, UAE

author

S. Hussein

• United Arab Emirates University, Al Ain, UAE

author

A. Murad

• United Arab Emirates University, Al Ain, UAE

author

A. Aldahan

• United Arab Emirates University, Al Ain, UAE

author

M. Abdulla Al-Abri

• National Center of Meteorology and Seismology, Abu Dhabi, UAE

References

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Identifiers

DOI

10.12693/APhysPolA.132.655