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LETTERS PUBLISHED ONLINE: 26 OCTOBER 2015 | DOI: 10.1038/NCLIMATE2833 Future temperature in southwest Asia projected to exceed a threshold for human adaptability Jeremy S. Pal1,2 and Elfatih A. B. Eltahir2* A human body may be able to adapt to extremes of dry-bulb temperature (commonly referred to as simply temperature) through perspiration and associated evaporative cooling provided that the wet-bulb temperature (a combined measure of temperature and humidity or degree of ‘mugginess’) remains below a threshold of 35 ◦ C. (ref. 1). This threshold defines a limit of survivability for a fit human under well-ventilated outdoor conditions and is lower for most people. We project using an ensemble of high-resolution regional climate model simulations that extremes of wet-bulb temperature in the region around the Arabian Gulf are likely to approach and exceed this critical threshold under the business-as-usual scenario of future greenhouse gas concentrations. Our results expose a specific regional hotspot where climate change, in the absence of significant mitigation, is likely to severely impact human habitability in the future. The geologic formations beneath and around the Arabian Gulf (hereafter referred to as the Gulf) in Southwest Asia, commonly referred to as the Middle East, are a major source for the oil and gas consumed locally and around the world, contributing greatly to the past and current emissions of carbon dioxide2 . Here, we show that by the end of the century certain population centres in the same region are likely to experience temperature levels that are intolerable to humans owing to the consequences of increasing concentrations of anthropogenic greenhouse gases (GHGs). The 5th Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) presents substantial evidence that increasing anthropogenic GHG concentrations are responsible for much of Earth’s warming in recent decades3 . Although observations and model simulations largely support this global climate change hypothesis, more research efforts are needed to improve understanding of impacts at regional and local scales. Some important limitations to the accuracy of global climate model (GCM) projections of these impacts stem from the lack of sufficient resolution needed to resolve regional processes and understand societal impacts; and the inadequate treatment of physical processes of regional importance4,5 . To investigate dangers to human health of extreme heat and humidity in Southwest Asia, we apply a regional climate model (RCM) at a 25-km grid spacing specifically customized for the region6–9 forced by three IPCC GCMs objectively selected based on performance (see Supplementary Methods). By conducting high-resolution RCM simulations, we resolve approximately 30 grid-points for each GCM grid-point, allowing a more detailed representation of topography, coastlines, extreme climatic events, and physical processes. We consider both dry-bulb temperature (T ) and wet-bulb temperature (TW ), specifically their daily maxima averaged over 6 h, denoted by Tmax and TWmax , respectively. Whereas the general public can easily relate to the concept of T , TW is not a widely used and understood concept. It is the temperature an air parcel would attain if cooled at constant pressure by evaporating water within it until saturation10 . It is a combined measure of temperature and humidity, or ‘mugginess’. Like all living species, human survival is partially a function of the environmental temperature. 35 ◦ C is the threshold value of TW beyond which any exposure for more than six hours would probably be intolerable even for the fittest of humans, resulting in hyperthermia. In current climate, TW rarely exceeds 31 ◦ C (ref. 1). Although other dry-bulb temperature and combined empirical temperature and humidity indices have been used to investigate the impacts of climate change on heat stress11–15 , TW provides a physically based relationship to the human body’s core temperature. For extreme temperature, we arbitrarily select 60 ◦ C, a value close to the highest temperature ever reported on Earth16,17 . In dry heat conditions, the human body is at high risk of heat stroke at temperatures well below 60 ◦ C if not well hydrated and if exposed to the sun. In addition, when T approaches such extremes, much machinery designed for the current climate may malfunction. For example, aircraft may not operate properly during takeoff and landing, and rail lines can buckle at extreme temperatures, even at temperatures around 40 ◦ C. Under recent climate conditions (1976–2005) with historical GHG concentrations18 , the ensemble average of the largest TWmax event exceeds 31 ◦ C, primarily in the Gulf and surrounding coastal regions (Fig. 1). These regions are located in low-elevation areas close to sea level allowing for high T , and near the coast allowing for high humidity. Interior desert regions have lower values of TW and TWmax owing to drier air. Although the 35 ◦ C threshold is approached in many locations, it is not exceeded anywhere in the domain. In contrast, the ensemble average of the largest Tmax events exhibits values exceeding 50 ◦ C in some interior desert regions and in coastal areas, but relatively low values over the Gulf and Red Sea. These severe heat-related conditions located in relatively low areas located near water bodies are consistent with projected heat-wave conditions in southern Europe and Mediterranean coasts13 . The high values of TWmax over the Red Sea and the Gulf are due to a combination of physical processes. First, the entire region experiences virtually clear sky conditions owing to subsidence during summer associated with the rising air motion over the monsoon region to the east19 . The reason higher surface TWmax in this region fails to trigger deep convection is explained by persistent regional-scale subsidence, involving adiabatic and diabatic descent, which suppresses deep convection19 . Subsidence over this region results in the absence of clouds and high incoming solar radiation. Second, unlike the surrounding deserts, the surface albedo of the Red Sea and the Gulf is relatively low, yielding strong absorption of solar radiation and increased total heat flux. Third, the high 1 Department of Civil Engineering and Environmental Science, Loyola Marymount University, Los Angeles, California 90045, USA. 2 Ralph M. Parsons Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA. *e-mail: [email protected] NATURE CLIMATE CHANGE | ADVANCE ONLINE PUBLICATION | www.nature.com/natureclimatechange 1 NATURE CLIMATE CHANGE DOI: 10.1038/NCLIMATE2833 LETTERS a TWmax HIST. b DOM = 27.0 LND = 26.4 AP = 26.7 20 21 22 c RCP4.5 TWmax TWmax RCP8.5 DOM = 28.3 LND = 27.7 AP = 28.0 23 24 25 26 27 28 29 30 31 DOM = 29.8 LND = 29.1 AP = 29.3 32 33 34 35 °C d Tmax HIST. e Tmax RCP4.5 32 34 Tmax RCP8.5 DOM = 48.0 LND = 51.1 AP = 52.5 DOM = 45.9 LND = 48.9 AP = 50.3 30 f 36 38 40 42 44 46 48 50 52 54 DOM = 50.8 LND = 54.2 AP = 55.4 56 58 60 °C Figure 1 | Spatial distributions of extreme wet bulb temperature and extreme temperature. a–f, Ensemble average of the 30-year maximum TWmax (a–c) and Tmax (d–f) temperatures for each GHG scenario: historical (a,d), RCP4.5 (b,e) and RCP8.5 (c,f). Averages for the domain excluding the buffer zone (DOM), land excluding the buffer zone (LND) and the Arabian Peninsula (AP) are indicated in each plot. TWmax and Tmax are the maximum daily values averaged over a 6-h window. evaporation rate increases water vapour and heat retained at the surface. The boundary layer is relatively shallow over these water bodies, concentrating water vapour and heat close to the surface. All these factors taken together maximize the total flux of heat into a relatively shallow boundary layer, hence maximizing the nearsurface TW over these water bodies. Coastal locations surrounding these water bodies are thus susceptible to high TW via air transport (for example, sea breeze circulations). To predict impacts of future climate change towards the end of the century (2071–2100), two GHG concentration scenarios are assumed, based on the IPCC Representative Concentration Pathway (RCP) trajectories: RCP4.5 (ref. 20) and RCP8.5 (ref. 21). RCP8.5 represents a business-as-usual scenario, whereas RCP4.5 considers mitigation. Under RCP8.5, the area characterized by TWmax exceeding 31 ◦ C expands to include most of the Southwest Asian coastal regions adjacent to the Gulf, Red Sea and Arabian Sea (Fig. 1). Furthermore, several regions over the Gulf and surrounding coasts exceed the 35 ◦ C threshold. Annual TWmax increases monotonically in the different locations surrounding the Gulf (Fig. 2). By the end of the century, annual TWmax in Abu Dhabi, Dubai, Doha, Dhahran and Bandar Abbas exceeds 35 ◦ C several times in the 30 years, and the present-day 95th percentile summer (July, August, and September; JAS) event becomes approximately a normal summer day (Fig. 3). During the summer, warm northwesterly (Shamal) winds frequently blow from Turkey and Iraq across the Gulf, where they gain moisture and transport high TW to most of the cities in the Gulf. The primary exceptions are Kuwait City and Bandar-e Mahshahr, which are protected from such extreme TW conditions owing to their geographic position to the north of the Gulf. 2 Extreme Tmax events exceeding 45 ◦ C become the norm in most low-lying cities during JAS (Supplementary Figs 8 and 9). Although being protected against extreme TWmax events, annual Tmax is projected to exceed 60 ◦ C in Kuwait City during some years. Annual Tmax values exceeding 60 ◦ C are also projected in Al Ain, which is somewhat isolated from the Gulf coast but still low in elevation. Doha is uniquely geographically positioned to receive hot dry air from the desert interior to the west and hot moist air from the Gulf. As a result, it is vulnerable both T and TW extremes. On the coast of the Red Sea, milder conditions, but still fairly severe, are projected compared to the Gulf. In Jeddah and nearby Mecca, for example, annual TWmax is projected to reach values as high as 33 ◦ C and 32 ◦ C, respectively (Fig. 2), with annual Tmax approaching and exceeding 55 ◦ C (Figure SI8). These extreme conditions are of severe consequence to the Muslim rituals of Hajj, when Muslim pilgrims (∼2 million) pray outdoors from dawn to dusk near Mecca. The exact date for this ritual is fixed according to the lunar calendar and can therefore occur during the boreal summer for several consecutive years. This necessary outdoor Muslim ritual is likely to become hazardous to human health, especially for the many elderly pilgrims, when the Hajj occurs during the boreal summer. As the population in Southwest Asia continues to rapidly increase22 , cities will probably expand and new cities may emerge. The rise in annual Tmax as a result of climate change would make the present harsh desert environments even harsher, while the rise in annual TWmax would probably constrain development along the coasts. The countries in Southwest Asia stand to gain considerable benefits by supporting the global mitigation efforts implied in the RCP4.5 scenario. Such efforts applied at the global scale would NATURE CLIMATE CHANGE | ADVANCE ONLINE PUBLICATION | www.nature.com/natureclimatechange NATURE CLIMATE CHANGE DOI: 10.1038/NCLIMATE2833 36 34 32 30 28 26 24 Kuwait 36 34 32 30 28 26 24 Tabuk, Saudi Arabia LETTERS 1980 1990 2000 2070 2080 2090 2100 1980 1990 2000 2070 2080 2090 2100 1980 1990 2000 2070 2080 2090 2100 36 34 32 30 28 26 24 Bandar-e Mahshahr, Iran 36 34 32 30 28 26 24 Dhahran, Saudi Arabia 1980 1990 2000 2070 2080 2090 2100 36 34 32 30 28 26 24 36 34 32 30 28 26 24 36 34 32 30 28 26 24 1980 1990 2000 2070 2080 2090 2100 1980 1990 2000 2070 2080 2090 2100 Jazan, Saudi Arabia Mecca, Saudi Arabia 36 34 32 30 28 26 24 1980 1990 2000 2070 2080 2090 2100 1980 1990 2000 2070 2080 2090 2100 36 34 32 30 28 26 24 1980 1990 2000 2070 2080 2090 2100 Riyadh, Saudi Arabia 36 34 32 30 28 26 24 Jeddah, Saudi Arabia Bandar Abbas, Iran 36 34 32 30 28 26 24 Al Hudaydah, Yemen 1980 1990 2000 2070 2080 2090 2100 36 34 32 30 28 26 24 Doha, Qatar Dubai, UAE 1980 1990 2000 2070 2080 2090 2100 1980 1990 2000 2070 2080 2090 2100 36 34 32 30 28 26 24 Abu Dhabi, UAE 36 34 32 30 28 26 24 Al Ain, UAE 1980 1990 2000 2070 2080 2090 2100 1980 1990 2000 2070 2080 2090 2100 36 34 32 30 28 26 24 Aden, Yemen 1980 1990 2000 2070 2080 2090 2100 Figure 2 | Time series of the annual maximum TW max for each ensemble member and GHG scenario. Blue, green and red lines represent the historical (1976–2005), RCP4.5 (2071–2100) and RCP8.5 (2071–2100) scenarios, respectively. TWmax is the maximum daily value averaged over a 6-h window. The background image was obtained from NASA Visible Earth. significantly reduce the severity of the projected impacts as annual TWmax does not breach the 35 ◦ C threshold in any of the locations considered (Fig. 2). Tmax would not be likely to exceed 55 ◦ C, except at a couple of locations where the current temperature is already severe (Supplementary Fig. 8). Near Jeddah and Mecca, where the rituals of Hajj take place, TWmax under this scenario would be only about 2 ◦ C warmer than the current climate. Although much of the oil produced in this region eventually ends up in the atmosphere and contributes to global climate change, the same oil brings significant financial benefits to the region. These same benefits enhance the capacity of the region to adapt to climate change. Electricity demands for air conditioner use, for example, would considerably increase in the future to adapt to projected changes in climate and population23 . Although it may be feasible to adapt indoor activities in the rich oil countries of the region, even the most basic outdoor activities are likely to be severely impacted12 . In contrast, the relatively poor countries of Southwest Asia with limited financial resources and declining or non-existent oil production will probably suffer both indoors and outdoors. For example, TWmax in the coastal region of Yemen in the area around Al-Hudaydah and Aden is projected to reach about 33 ◦ C in extreme years. Under such conditions, climate change would possibly lead to premature death of the weakest—namely children and elderly1 . A plausible analogy of future climate for many locations in Southwest Asia is the current climate of the desert of Northern Afar on the African side of the Red Sea, a region with no permanent human settlements owing to its extreme climate. Received 30 September 2014; accepted 3 September 2015; published online 26 October 2015 References 1. Sherwood, S. C. & Huber, M. An adaptability limit to climate change due to heat stress. Proc. Natl Acad. Sci. USA 107, 9552–9555 (2010). 2. Boden, T. A., Marland, G. & Andres, R. J. (eds) Global, Regional, and National Fossil-Fuel CO2 Emissions (Oak Ridge National Laboratory, US Department of Energy, 2013). 3. IPCC Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.) (Cambridge Univ. Press, 2013). 4. Hewitson, B. C. et al. in Climate Change 2014: Impacts, Adaptation, and Vulnerability (eds Barros, V. R. et al.) Ch. 21 (IPCC, Cambridge Univ. Press, 2014). 5. Bindoff, N. L. et al. in Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.) Ch. 10, 867–952 (IPCC, Cambridge Univ. Press, 2013). 6. Marcella, M. P. & Eltahir, E. A. B. Effects of mineral aerosols on the summertime climate of southwest Asia: Incorporating subgrid variability in a dust emission scheme. J. Geophys. Res. 115, D18203 (2010). 7. Marcella, M. P. & Eltahir, E. A. B. Modeling the hydroclimatology of Kuwait: The role of subcloud evaporation in semiarid climates. J. Clim. 21, 2976–2989 (2008). 8. Marcella, M. P. & Eltahir, E. A. B. The hydroclimatology of Kuwait: Explaining the variability of rainfall at seasonal and interannual time scales. J. Hydrometeorol. 9, 1095–1105 (2008). NATURE CLIMATE CHANGE | ADVANCE ONLINE PUBLICATION | www.nature.com/natureclimatechange 3 NATURE CLIMATE CHANGE DOI: 10.1038/NCLIMATE2833 LETTERS Bandar-e Mahshahr, Iran Kuwait 103 102 10 1 Tabuk, Saudi Arabia 102 10 100 50% 16.0 17.3 18.4 103 103 102 50% 95% 19.6 25.3 21.3 27.0 22.3 28.8 50% 95% 22.5 28.0 24.1 29.4 25.3 31.5 101 100 20 22 24 26 28 30 32 34 36 20 22 24 26 28 30 32 34 36 95% 19.9 21.2 23.1 Dhahran, Saudi Arabia Bandar Abbas, Iran 103 103 1 102 100 50% 26.1 27.9 29.2 101 20 22 24 26 28 30 32 34 36 100 102 95% 30.3 31.8 33.3 50% 95% 24.1 29.8 26.4 31.3 28.3 33.0 101 100 20 22 24 26 28 30 32 34 36 20 22 24 26 28 30 32 34 36 Riyadh, Saudi Arabia 103 102 Jeddah, Saudi Arabia 101 103 102 101 100 50% 16.5 18.0 19.1 Dubai, UAE 95% 21.9 23.1 24.6 103 102 Doha, Qatar 100 50% 23.9 25.3 26.5 20 22 24 26 28 30 32 34 36 95% 26.1 27.7 29.0 Mecca, Saudi Arabia 50% 24.5 25.9 27.1 102 95% 26.6 28.0 29.3 101 102 101 100 50% 20.9 22.4 23.5 Al Ain, UAE Abu Dhabi, UAE 95% 23.9 25.5 26.9 103 102 101 100 100 20 22 24 26 28 30 32 34 36 102 20 22 24 26 28 30 32 34 36 95% 29.7 31.1 32.6 20 22 24 26 28 30 32 34 36 20 22 24 26 28 30 32 34 36 103 50% 26.3 28.1 29.4 100 103 Jazan, Saudi Arabia 103 100 102 101 20 22 24 26 28 30 32 34 36 Al Hudaydah, Yemen 50% 25.3 26.8 28.0 50% 95% 27.0 29.6 28.4 30.9 29.8 32.4 101 103 103 102 101 100 50% 26.6 27.9 29.4 95% 29.5 30.7 32.1 50% 95% 23.3 26.4 24.7 27.5 26.0 28.8 20 22 24 26 28 30 32 34 36 20 22 24 26 28 30 32 34 36 Aden, Yemen 95% 27.0 28.5 29.9 101 50% 25.3 26.8 28.1 103 102 95% 27.2 28.8 30.2 101 100 100 20 22 24 26 28 30 32 34 36 20 22 24 26 28 30 32 34 36 Figure 3 | Histogram of the summer (JAS) TW max for each GHG scenario’s ensemble; historical (blue), RCP4.5 (green) and RCP8.5 (red). The histogram bin interval is 0.5 ◦ C and the values on the y-axis indicate the number of exceedances. Values indicated within each plot represent the 50th and 95th percentile event thresholds. TWmax is the maximum daily value averaged over a 6-h window. The background image was obtained from NASA Visible Earth. 9. Marcella, M. P. & Eltahir, E. A. B. Modeling the summertime climate of Southwest Asia: The role of land surface processes in shaping the climate of semiarid regions. J. Clim. 25, 704–719 (2011). 10. Rogers, R. R. & Yau, M. K. A Short Course in Cloud Physics (Pergamon, 1989). 11. Diffenbaugh, N. S., Pal, J. S., Giorgi, F. & Gao, X. Heat stress intensification in the Mediterranean climate change hotspot. Geophys. Res. Lett. 34, L11706 (2007). 12. Dunne, J. P., Stouffer, R. J. & John, J. G. Reductions in labour capacity from heat stress under climate warming. Nature Clim. Change 3, 563–566 (2013). 13. Fischer, E. M. & Schar, C. Consistent geographical patterns of changes in high-impact European heatwaves. Nature Geosci. 3, 398–403 (2010). 14. Luber, G. & McGeehin, M. Climate change and extreme heat events. Am. J. Prev. Med. 35, 429–435 (2008). 15. Parsons, K. Heat stress standard ISO 7243 and its global application. Ind. Health 44, 368379 (2006). 16. El Fadli, K. I. et al. World Meteorological Organization assessment of the purported world record 58 ◦ C temperature extreme at El Azizia, Libya (13 September 1922). Bull. Am. Meteorol. Soc. 94, 199–204 (2013). 17. Cerveny, R. S., Lawrimore, J., Edwards, R. & Landsea, C. Extreme weather records. Bull. Am. Meteorol. Soc. 88, 853–860 (2007). 18. Meinshausen, M. et al. The RCP greenhouse gas concentrations and their extensions from 1765 to 2300. Climatic Change 109, 213–241 (2011). 19. Rodwell, M. J. & Hoskins, B. J. Monsoons and the dynamics of deserts. Q. J. R. Meteorol. Soc. 122, 1385–1404 (1996). 20. Thomson, A. et al. RCP4.5: A pathway for stabilization of radiative forcing by 2100. Climatic Change 109, 77–94 (2011). 21. Riahi, K. et al. RCP 8.5—A scenario of comparatively high greenhouse gas emissions. Climatic Change 109, 33–57 (2011). 4 22. World Population Prospects: The 2012 Revision, Methodology of the United Nations Population Estimates and Projections Working Paper No. ESA/P/WP.235 (United Nations, Department of Economic and Social Affairs, Population Division, 2014). 23. Sailor, D. Air conditioning market saturation and long-term response of residential cooling energy demand to climate change. Energy 28, 941–951 (2003). Acknowledgements This research was supported by the Kuwait Foundation for the Advancement of Science (KFAS). The NASA SRB were obtained from the NASA Langley Research Center Atmospheric Sciences Data Center NASA/GEWEX SRB Project. Author contributions E.A.B.E. conceived the study with input from J.S.P. Both authors were involved in design of the research, interpretation of the results, and discussion of implications. J.S.P. performed the simulations, analysed the data and created the figures. Both authors contributed equally to the writing and revision of the manuscript. Additional information Supplementary information is available in the online version of the paper. Reprints and permissions information is available online at www.nature.com/reprints. Correspondence and requests for materials should be addressed to E.A.B.E. Competing financial interests The authors declare no competing financial interests. NATURE CLIMATE CHANGE | ADVANCE ONLINE PUBLICATION | www.nature.com/natureclimatechange