Downscaling Global Circulation Model Projections of Climate Change for the United Arab Emirates
Publication: Journal of Water Resources Planning and Management
Volume 141, Issue 9
Abstract
Future projection of air temperature and precipitation due to climate change plays an important role in shaping the water resources management plans in arid and semi-arid countries such as the United Arab Emirates (UAE). The effect of local topography, land use, and sea-land contrasts are generally dwarfed in the coarse global circulation models [ocean atmosphere global climate models (OAGCMs)] results. Statistical downscaling (SD) is a statistical tool relating OAGCM outputs (predictors) to finer local observed weather data (predictands) to improve future predictions. SD is used in this study to downscale the Hadley Model (HadCM3) predictors using local observations at two stations representing the dominating bioclimatic zones in the UAE. The paper proposes a rigorous and systematic methodology to guide the selection of dominant predictors in the projection scenarios. The proposed methodology is applied for the UAE but can be easily adopted for any other area. The calibrated model, used to project future scenarios in the region, revealed a range of increase of the annual mean maximum temperature of 2.79–3.80°C and a range of reduction of annual precipitation of 16.80–37.00% by 2080 at the considered stations. Impacts of climate change on the UAE’s water resources management are discussed in light of the downscaled estimates for temperature and precipitation. Because a major portion of the water resources is devoted to agriculture, temperature impacts are quite significant. However, the impacts of precipitation are hardly detectable at the national scale. Instead, the impacts of reduced precipitation will be of more localized significance in mountainous regions that are critically dependent on precipitation for water resources.
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Acknowledgments
Acknowledgment is extended to Abu Dhabi and Sharjah Aviation Authorities for providing data used in this study.
References
AGCI (Aspen Global Change Institute). (2006). Climate change and aspen: An assessment of impacts and potential responses, Aspen Global Change Institute, Basalt, CO, 147.
Al Mulla, M. (2011). “UAE state of the water report.” 〈http://www.arabwatercouncil.org/AWF/Downloads/Sessions/Topic1/P2-3-Mohamed-AlMulla-UAE-State-of-Water-Report.pdf〉 (Sep. 16, 2012).
AlSarmi, S., and Washington, R. (2011). “Recent observed climate change over the Arabian Peninsula.” J. Geophys. Res. Atmos., 116(D11), 4–10.
Al Zubari, W. (2002). “Alternative water policies for the GCC countries.” Dubai Int. Conf. on Water Resources and Integrated Management in the 3rd Millennium, Dubai.
Böer, B. (1997). “Review: An introduction to the climate of the United Arab Emirates.” J. Arid Environ., 35(1), 3–16.
Bootsma, A., Gameda, S., and McKenney, D. W. (2005). “Impacts of potential climate change on selected agroclimatic indices in Atlantic Canada.” Can. J. Soil Sci., 85(2), 329–343.
Chu, J. T., Xia, J., Xu, C. Y., and Singh, V. P. (2010). “Statistical downscaling of daily mean temperature, pan evaporation and precipitation for climate change scenarios in Haihe, China.” Theor. Appl. Climatol., 99(1–2), 149–161.
Dawoud, M. A., and Fadlelmawla, A. A. (2007). The effect of water scarcity on the future growth in the desalination industry in GCC countries, Academic Publication Council, Univ. of Kuwait, Kuwait.
Dibike, Y. B. (2006). “Temporal neural networks for downscaling climate variability and extremes.” J. Neural Networks, 19(2), 135–144.
Dibike, Y. B., and Coulibaly, P. (2007). “Validation of hydrologic models for climate scenario simulation: The case of Saguenay watershed in Quebec.” J. Hydrol. Processes, 21(23), 3123–3135.
Elgaali, E., and Garcia, L. (2007). “Using neural networks to model the impacts of climate change on water supplies.” J. Water Resour. Plann. Manage., 230–243.
FAO, UNESCO, and WHO. (1977). “World map of desertification.” Explanatory note A/CONF. 74/2, UN Conf. on Desertification, Nairobi, Kenya.
Goodess, C. M., et al. (2012). “An intercomparison of statistical downscaling methods for Europe and European regions—Assessing their performance with respect to extreme temperature and precipitation events.”, School of Environmental Sciences, Univ. of East Anglia, U.K.
Hemming, D., Betts, R., and Ryall, D. (2007). “Environmental stresses from detailed climate model simulations for the Middle East and Gulf region.”, Met Office Hadley Centre, U.K.
IPCC (Intergovernmental Panel on Climate Change). (2007). Special report on the regional impacts of climate change and assessment of vulnerability, Cambridge University Press, Cambridge, U.K.
Jorgensen, D., and Al-Tikiriti, W. Y. (2002). “A Hydrologic and archeologic study of climate change in Al Ain, UAE.” Global Planet. Change, 35(1–2), 37–49.
Kalnay, E., et al. (1996). “The NCEP/NCAR 40-year reanalysis project.” Bull. Am. Meteorol. Soc., 77(3), 437–471.
Karamouz, M., Ahmadi, B., and Zahmatkesh, Z. (2013). “Developing an agricultural planning model in a watershed considering climate change impacts.” J. Water Resour. Plann. Manage., 349–363.
Karamouz, M., and Nazif, S. (2013). “Reliability-based flood management in urban watersheds considering climate change impacts.” J. Water Resour. Plann. Manage., 520–533.
Kohonen, T. (2001). “Self-organizing maps.” Springer series in information sciences, Vol. 30, 3rd Ed., Springer, New York.
MOEW (Ministry of Environment and Water). (2010). United Arab Emirates water conservation strategy, UAE.
Murad, A., AlNuaimi, H., and AlHammadi, M. (2007). “Comprehensive assessment of water resources in the United Arab Emirates (UAE).” J. Water Resour. Manage., 21(9), 1449–1463.
Narula, S. C., and Wellington, J. F. (1977). “An algorithm for linear regression with minimum sum of absolute errors.” Appl. Stat., 26(1), 106–111.
Nasrallah, H. A., and Balling, R. C., Jr., (1996). “Analysis of recent climatic changes in the Arabian Peninsula region.” J. Theor. Appl. Climatol., 53(4), 245–252.
Nyenje, P. M., and Batelaan, O. (2009). “Estimating the effects of climate change on groundwater recharge and baseflow in the Ssezibwa catchment, Uganda.” Hydrol. Sci. J., 54(4), 713–726.
Rizk, Z., and Al Sharhan, A. (2003). Water resources in the United Arab Emirates, Elsevier Science, Amsterdam, Netherlands, 245–264.
Satchell, J. E. (1978). “Ecology and environment in the United Arab Emirates.” J. Arid Environ., 1(1), 201–226.
SRES. (2000). Emissions scenarios: A special report of working group III of the IPCC, Cambridge University Press, Cambridge, U.K.
Tilmant, A., Arjoon, D., and Marques, G. (2014). “Economic value of storage in multireservoir systems.” J. Water Resour. Plann. Manage., 375–383.
Tolba, M. K., and Saab, N. W. (2009). Impact of climate change on Arab countries, Rep. of the Arab Forum for Environment and Development (AFED), Technical Publications Beirut, Lebanon, 181.
UAE-UNFCCC. (2010). 2nd national communication framework convention on climate change under the United Nations, Ministry of Energy, UAE.
UAE-UNFCCC. (2012). 3rd national communication framework convention on climate change under the United Nations, Ministry of Energy, UAE.
Wigley, T. M. L. (2008). MAGICC/SCENGEN 5.3: USER MANUAL (version 2), National Center for Atmospheric Research, Boulder, CO.
Wilby, R. L., Charles, S. P., Zorita, E., Timbal, B., Whetton, P., and Mearns, L. (2004). Guidelines for use of climate scenarios developed from statistical downscaling methods, IPCC Publications, 〈http://www.ipcc-data.org/guidelines/dgm_no2_v1_09_2004.pdf〉 (Jan. 16, 2012).
Wilby, R. L., and Dawson, C. W. (2007). SDSM 4.2: A decision support tool for the assessment of regional climate change impacts—User manual, 〈http://co-public.lboro.ac.uk/cocwd/SDSM/SDSMManual.pdf〉 (Jan. 11, 2012).
Wilby, R. L., and Dawson, C. W. (2013). “The statistical downscaling model (SDSM): Insights from one decade of application.” Int. J. Climatol., 33(7), 1707–1719.
Wilby, R. L., Dawson, C. W., and Barrow, E. M. (2002). “SDSM: A decision support tool for the assessment of regional climate change impacts.” Environ. Model. Softw., 17(2), 145–157.
Wilby, R. L., and Harris, I. (2006). “A framework for assessing uncertainties in climate change impacts: Low-flow scenarios.” J. Water Resour. Res., 42(2), W02419.
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© 2015 American Society of Civil Engineers.
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Received: Jun 17, 2013
Accepted: Dec 3, 2014
Published online: Jan 28, 2015
Discussion open until: Jun 28, 2015
Published in print: Sep 1, 2015
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