A Consistent Methodology to Evaluate Temperature and Heat Wave Future Projections for Cities: A Case Study for Lisbon
Source abstract
Abstract
Heat waves are large-scale atmospheric phenomena that may cause heat stress in ecosystems and socio-economic activities. In cities, morbidity and mortality may increase during a heat wave, overloading health and emergency services. In the face of climate change and associated warming, cities need to adapt and mitigate the effects of heat waves. This study suggests a new method to evaluate heat waves’ impacts on cities by considering some aspects of heat waves that are not usually considered in other similar studies. The method devises heat wave quantities that are easy to calculate; it is relevant to assessing their impacts and permits the development of adaptation measures. This study applies the suggested method to quantify various aspects of heat waves in Lisbon for future climate projections considering future mid-term (2046–2065) and long-term (2081–2100) climates under the RCP8.5 greenhouse emission scenario. This is achieved through the analysis of various regional climate simulations performed with the WRF model and an ensemble of EURO-CORDEX models. This allows an estimation of uncertainty and confidence of the projections. To evaluate the climate change properties of heat waves, statistics for future climates are compared to those for a reference recent climate. Simulated temperatures are first bias corrected to minimize the model systematic errors relative to observations. The temperature for mid and long-term futures is expected to increase relative to the present by 1.6 °C and 3.6 °C, respectively, with late summer months registering the highest increases. The number of heat wave days per year will increase on average from 10, in the present climate, to 38 and 63 in mid and long-term climates, respectively. Heat wave duration, intensity, average maximum temperature, and accumulated temperature during a heat wave will also increase. Heat waves account for an annual average of accumulated temperature of 358 °C·day in the present climate, while in the mid and long-term, future climates account for 1270 °C·day and 2078 °C·day, respectively. The largest increases are expected to occur from July to October. Extreme intensity and long-duration heat waves with an average maximum temperature of more than 40 °C are expected to occur in the future climates.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Climate Change and Health Impacts · Climate variability and models · Urban Heat Island Mitigation
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
CESAM-Department of Physics, University of Aveiro, 3800-193 Aveiro, Portugal
Instituto Português do Mar e da Atmosfera, 1749-077 Lisbon, Portugal
References (70)
Show source-provided references
1. A Review of the European Summer Heat Wave of 200310.1080/10643380802238137 ↗
2. Sun, T., Kotthaus, S., Li, D., Ward, H.C., Gao, Z., Ni, G.-H., and Grimmond, C.S.B. (2017). Attribution and mitigation of heat wave-induced urban heat storage change. Environ. Res. Lett., 12.10.1088/1748-9326/aa922a ↗
3. Heatwave classification over Europe and the Mediterranean region10.1088/1748-9326/7/1/014023 ↗
4. Magnitude of extreme heat waves in present climate and their projection in a warming world10.1002/2014JD022098 ↗
5. The high-impact 2007 hot summer over Turkey: Atmospheric-blocking and heat-wave episodes
6. Influence of blocking on Northern European and Western Russian heatwaves in large climate model ensembles10.1088/1748-9326/aaba55 ↗
7. Morabito, M., Crisci, A., Messeri, A., Messeri, G., Betti, G., Orlandini, S., Raschi, A., and Maracchi, G. (2017). Increasing Heatwave Hazards in the Southeastern European Union Capitals. Atmosphere, 8.10.3390/atmos8070115 ↗
8. Heatwave and health impact research: A global review10.1016/j.healthplace.2018.08.017 ↗
9. Heat Stress and Public Health: A Critical Review10.1146/annurev.publhealth.29.020907.090843 ↗
10. Heatwave and health events: A systematic evaluation of different temperature indicators, heatwave intensities and durations10.1016/j.scitotenv.2018.02.268 ↗
11. Atmospheric conditions associated with the exceptional fire season of 2003 in Portugal10.1002/joc.1333 ↗
12. Adaptation in agriculture: Historic effects of heat waves and droughts on UK agriculture10.3763/ijas.2010.0482 ↗
13. Global observed changes in daily climate extremes of temperature and precipitation10.1029/2005JD006290 ↗
14. Model Simulation and Projection of European Heat Waves in Present-Day and Future Climates10.1175/JCLI-D-13-00284.1 ↗
15. Changes in regional heatwave characteristics as a function of increasing global temperature10.1038/s41598-017-12520-2 ↗
16. The 2018 report of the Lancet Countdown on health and climate change: Shaping the health of nations for centuries to come10.1016/S0140-6736(18)32594-7 ↗
17. Heat waves in Berlin and Potsdam, Germany—Long-term trends and comparison of heat wave definitions from 1893 to 201710.1002/joc.5962 ↗
18. Changes in heat wave characteristics over Extremadura (SW Spain)10.1007/s00704-017-2210-x ↗
19. Tomczyk, A.M., Półrolniczak, M., and Bednorz, E. (2017). Circulation Conditions Effect on the Occurrence of Heat Waves in Western and Southwestern Europe. Atmosphere, 8.10.3390/atmos8020031 ↗
20. Recent trends of extreme temperature indices for the Iberian Peninsula10.1016/j.pce.2015.12.005 ↗
21. Heat wave and cold spell changes in Iberia for a future climate scenario10.1002/joc.5158 ↗
22. Future climate change of stability indices for the Iberian Peninsula10.1002/joc.5094 ↗
23. Viceto, C., Pereira, S.C., and Rocha, A. (2019). Climate Change Projections of Extreme Temperatures for the Iberian Peninsula. Atmosphere, 10.10.3390/atmos10050229 ↗
24. Skamarock, W.C., Klemp, J.B., Dudhia, J., Gill, D., Barker, D.M., Duda, M.G., and Powers, J.G. (2008). A Description of the Advanced Research WRF Version 3. NCAR Technical Notes, NCAR/TN-475+STR, University Corporation for Atmospheric Research.
25. High resolution WRF climatic simulations for the Iberian Peninsula: Model validation10.1016/j.pce.2016.03.010 ↗
26. IPCC (2013). Climate Change 2013. The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press.
27. Climate extremes indices in the CMIP5 multimodel ensemble: Part 2. Future climate projections10.1002/jgrd.50188 ↗
28. Moss, R., Babiker, M., Brinkman, S., Calvo, E., Carter, T., Edmonds, J., Elgizouli, I., Emori, S., Erda, L., and Hibbard, K. (2007). Towards New Scenarios for Analysis of Emissions, Climate Change, Impacts, and Response Strategies, Intergovernmental Panel on Climate Change.
29. Climate and carbon cycle changes from 1850 to 2100 in MPI-ESM simulations for the Coupled Model Intercomparison Project phase 510.1002/jame.20038 ↗
30. Validation of the ENSEMBLES global climate models over southwestern Europe using probability density functions, from a downscaling perspective10.3354/cr00995 ↗
31. How well do CMIP5 Earth System Models simulate present climate conditions in Europe and Africa?10.1007/s00382-013-1742-8 ↗
32. Mean and extreme temperatures in a warming climate: EURO CORDEX and WRF regional climate high-resolution projections for Portugal10.1007/s00382-018-4124-4 ↗
33. Recent trends of extreme precipitation indices in the Iberian Peninsula using observations and WRF model results10.1016/j.pce.2016.06.005 ↗
34. Regionalization of Europe based on a K-Means Cluster Analysis of the climate change of temperatures and precipitation10.1016/j.pce.2016.05.001 ↗
35. EURO-CORDEX: New high-resolution climate change projections for European impact research10.1007/s10113-013-0499-2 ↗
36. Addressing climate information needs at the regional level: The CORDEX framework
37. A European daily high-resolution gridded data set of surface temperature and precipitation for 1950–200610.1029/2008JD010201 ↗
38. Statistical bias correction for daily precipitation in regional climate models over Europe10.1007/s00704-009-0134-9 ↗
39. Statistical bias correction of global simulated daily precipitation and temperature for the application of hydrological models10.1016/j.jhydrol.2010.10.024 ↗
40. Bias correction of the ENSEMBLES high resolution climate change projections for use by impact models: Analysis of the climate change signal10.1029/2012JD017968 ↗
41. Projections of climate change indices of temperature and precipitation from an ensemble of bias-adjusted high-resolution EURO-CORDEX regional climate models10.1002/2015JD024411 ↗
42. A novel bias correction methodology for climate impact simulations10.5194/esd-7-71-2016 ↗
43. Multisite bias correction of precipitation data from regional climate models10.1002/joc.4890 ↗
44. Frequency of precipitation and temperature extremes over France in an anthropogenic scenario: Model results and statistical correction according to observed values10.1016/j.gloplacha.2006.11.030 ↗
45. Bias correction of monthly precipitation and temperature fields from Intergovernmental Panel on Climate Change AR4 models using equidistant quantile matching
46. A Statistical Adjustment of Regional Climate Model Outputs to Local Scales: Application to Platja de Palma, Spain10.1175/JCLI-D-10-05024.1 ↗
47. Bias correction of global and regional simulated daily precipitation and surface mean temperature over Southeast Asia using quantile mapping method10.1016/j.gloplacha.2016.12.009 ↗
48. Field, C.B., Barros, V., Stocker, T.F., Qin, D., Dokken, D., Ebi, K.L., Mastrandrea, M.D., Mach, K.J., Plattner, G.K., and Allen, S.K. (2012). Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change, Cambridge University Press.10.1017/CBO9781139177245 ↗
49. WMO (2016). Guidelines on the definition and monitoring of extreme weather and climate events. TT-DEWCE WMO.
50. McGregor, G.R., Bessemoulin, P., Ebi, K.L., and Menne, B. (2015). Heatwaves and Health: Guidance on Warning-System Development, World Meteorological Organization and World Health Organization.
51. Assessing the threat of future megadrought in Iberia10.1002/joc.5140 ↗
52. Heat Wave Hazards: An Overview of Heat Wave Impacts in Canada10.1023/A:1022946528157 ↗
53. Nairn, J.R., and Fawcett, R.J.B. (2013). Defining Heatwaves, Heatwave Defined as a Heat Impact Event Servicing all Community and Business Sectors in Australia, CAWCR. CAWCR Technical Report No. 060.
54. Impacts of heat waves and corresponding measures: A review10.1016/j.jclepro.2014.12.078 ↗
55. Mortality and temperature in Sofia and London10.1136/jech.57.8.628 ↗
56. A simple heat alert system for Melbourne, Australia10.1007/s00484-007-0132-5 ↗
57. The Excess Heat Factor: A Metric for Heatwave Intensity and Its Use in Classifying Heatwave Severity10.3390/ijerph120100227 ↗
58. Temporal variability of the Buenos Aires, Argentina, urban heat island10.1007/s00704-011-0459-z ↗
59. Gonçalves, A., Ornellas, G., Ribeiro, A.C., Maia, F., Rocha, A., and Feliciano, M. (2018). Urban cold and Heat Island in the City of Bragança (Portugal). Climate, 6.10.3390/cli6030070 ↗
60. Sun, C.-Y., Kato, S., and Gou, Z. (2019). Application of Low-Cost Sensors for Urban Heat Island Assessment: A Case Study in Taiwan. Sustainability, 11.10.3390/su11102759 ↗
61. Heatwaves and urban heat islands: A comparative analysis of multiple cities10.1002/2016JD025357 ↗
62. Amplified urban heat islands during heat wave periods10.1029/2018JD030230 ↗
63. The urban heat island and its impact on heat waves and human health in Shanghai10.1007/s00484-009-0256-x ↗
64. Interactions between urban heat islands and heat waves10.1088/1748-9326/aa9f73 ↗
65. Circulation-conditioned wintertime temperature bias in EURO-CORDEX regional climate models over Central Europe10.1029/2018JD028503 ↗
66. Future precipitation in Portugal: High-resolution projections using WRF model and EURO-CORDEX multi-model ensembles10.1007/s00382-016-3455-2 ↗
67. Consistency of climate change projections from multiple global and regional model intercomparison projects
68. Extreme summer temperatures in Iberia: Health impacts and associated synoptic conditions10.5194/angeo-23-239-2005 ↗
69. Evaluating the impact of extreme temperature based indices in the 2003 heatwave excessive mortality in Portugal10.1016/j.envsci.2009.07.007 ↗
70. Botelho, J., Catarino, J., Carreira, M., Nogueira, P.J., Calado, R., and Paixão, E.J. (2004). Onda de Calor de 2003: Os Seus Efeitos Sobre a Mortalidade de População Portuguesa, Direccão Geral de Saúde.