Extreme heat events in the Iberia Peninsula from extreme value mixture modeling of ERA5-Land air temperature

Arnold, 2011, Nonparametric goodness-of-fit tests for discrete null distributions, R J., 3, 10.32614/RJ-2011-016 Barbosa, 2011, Summarising changes in air temperature over central europe by quantile regression and clustering, Nat. Hazards Earth Syst. Sci., 11, 3227, 10.5194/nhess-11-3227-2011 Behrens, 2004, Bayesian Analysis of extreme events with threshold estimation, Stat. Model., 4, 227, 10.1191/1471082X04st075oa Brown, 2008, Global changes in extreme daily temperature since 1950, J. Geophys. Res.: Atmos., 113, 10.1029/2006JD008091 Cardoso, 2019, Mean and extreme temperatures in a warming climate: EURO CORDEX and WRF regional climate high-resolution projections for Portugal, Clim. Dynam., 52, 129, 10.1007/s00382-018-4124-4 Carvalho, 2020, Future surface temperature changes for the Iberian Peninsula according to EURO-CORDEX climate projections, Clim. Dynam., 1 Coelho, 2008, Methods for exploring spatial and temporal variability of extreme events in climate data, J. Clim., 21, 2072, 10.1175/2007JCLI1781.1 Crameri, 2018 DeCastro, 2011, Effects of heat waves on human mortality, galicia, Spain, Clim. Res., 48, 333, 10.3354/cr00988 Donat, 2013, Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: The HadEX2 dataset, J. Geophys. Res.: Atmos., 118, 2098, 10.1002/jgrd.50150 Fernández-Montes, 2012, Trends in seasonal indices of daily temperature extremes in the Iberian Peninsula, 1929–2005, Int. J. Climatol., 32, 2320, 10.1002/joc.3399 Hersbach, 2019, Global reanalysis: goodbye ERA-interim, hello ERA5, ECMWF Newsletter, 159, 17 Hu, 2018, Evmix: An r package for extreme value mixture nodeling, threshold estimation and boundary corrected kernel density estimation, J. Stat. Softw., 84, 1, 10.18637/jss.v084.i05 Hyndman, 2009, Density forecasting for long-term peak electricity demand, IEEE Trans. Power Syst., 25, 1142, 10.1109/TPWRS.2009.2036017 Katz, 2002, Statistics of extremes in hydrology, Adv. Water Resour., 25, 1287, 10.1016/S0309-1708(02)00056-8 Kharin, 2018, Risks from climate extremes change differently from 1.5c to 2.0c depending on rarity, Earth’s Future, 6, 704, 10.1002/2018EF000813 Klein Tank, 2002, Daily dataset of 20th-century surface air temperature and precipitation series for the European climate assessment, Int. J. Climatol.: J. Royal Meteorol. Soc., 22, 1441, 10.1002/joc.773 Lee, 2014, Historical global analysis of occurrences and human casualty of extreme temperature events (ETEs), Nat. Hazards, 70, 1453, 10.1007/s11069-013-0884-7 Lorenzo, 2021, Heatwave intensity on the iberian peninsula: Future climate projections, Atmos. Res., 258, 10.1016/j.atmosres.2021.105655 Lucio, 2010, Changes in occurrences of temperature extremes in continental Portugal: a stochastic approach, Meteorol. Appl., 17, 404, 10.1002/met.171 MacDonald, 2011, A flexible extreme value mixture model, Comput. Statist. Data Anal., 55, 2137, 10.1016/j.csda.2011.01.005 Milly, 2008, Stationarity is dead: Whither water management?, Earth, 4, 20 Molina, 2020, Future heat waves over the mediterranean from an euro-cordex regional climate model ensemble, Sci. Rep., 10, 1, 10.1038/s41598-020-65663-0 Muñoz Sabater, 2019 Parey, 2019, Future high-temperature extremes and stationarity, Nat. Hazards, 98, 1115, 10.1007/s11069-018-3499-1 Parey, 2007, Trends and climate evolution: Statistical approach for very high temperatures in France, Clim. Change, 81, 331, 10.1007/s10584-006-9116-4 Pastore, 2018, Overlapping: a r package for estimating overlapping in empirical distributions, J. Open Source Softw., 3, 1023, 10.21105/joss.01023 Pastore, 2019, Measuring distribution similarities between samples: a distribution-free overlapping index, Front. Psychol., 10, 1089, 10.3389/fpsyg.2019.01089 Ramos, 2011, Evolution of extreme temperatures over Portugal: recent changes and future scenarios, Clim. Res., 48, 177, 10.3354/cr00934 Scarrott, 2012, A review of extreme value threshold estimation and uncertainty quantification, REVSTAT-Stat. J., 10, 33 Scarrott, 2016, Univariate extreme value mixture modeling, Extrem. Value Model. Risk Anal. Methods Appl., 41 Sheridan, 2015, Changes in the frequency and intensity of extreme temperature events and human health concerns, Curr. Clim. Chang. Rep., 1, 155, 10.1007/s40641-015-0017-3 Sheridan, 2018, Temporal trends in human vulnerability to excessive heat, Environ. Res. Lett., 13, 10.1088/1748-9326/aab214 Sheridan, 2020, A comparison between station observations and reanalysis data in the identification of extreme temperature events, Geophys. Res. Lett., 47, 10.1029/2020GL088120 Slater, 2020, Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management, Hydrol. Earth Syst. Sci. Discuss., 1 Smid, 2019, Ranking European capitals by exposure to heat waves and cold waves, Urban Clim., 27, 388, 10.1016/j.uclim.2018.12.010 Suarez-Gutierrez, 2020, Dynamical and thermodynamical drivers of variability in European summer heat extremes, Clim. Dynam., 1 Sun, 2019, Global heat stress on health, wildfires, and agricultural crops under different levels of climate warming, Environ. Int., 128, 125, 10.1016/j.envint.2019.04.025 Wessel, 2013, Generic mapping tools: improved version released, EOS Trans. Am. Geophys. Union, 94, 409, 10.1002/2013EO450001