<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-07T11:31:13Z</responseDate><request verb="GetRecord" identifier="oai:docta.ucm.es:20.500.14352/123923" metadataPrefix="mods">https://docta.ucm.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:docta.ucm.es:20.500.14352/123923</identifier><datestamp>2025-09-15T23:58:28Z</datestamp><setSpec>com_20.500.14352_14</setSpec><setSpec>col_20.500.14352_15</setSpec></header><metadata><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
   <mods:name>
      <mods:namePart>Collazo Inglesini, Soledad Maribel</mods:namePart>
   </mods:name>
   <mods:name>
      <mods:namePart>Barriopedro Cepero, David</mods:namePart>
   </mods:name>
   <mods:name>
      <mods:namePart>García Herrera, Ricardo Francisco</mods:namePart>
   </mods:name>
   <mods:name>
      <mods:namePart>Beguería, Santiago</mods:namePart>
   </mods:name>
   <mods:extension>
      <mods:dateAvailable encoding="iso8601">2025-09-15T10:46:06Z</mods:dateAvailable>
   </mods:extension>
   <mods:extension>
      <mods:dateAccessioned encoding="iso8601">2025-09-15T10:46:06Z</mods:dateAccessioned>
   </mods:extension>
   <mods:originInfo>
      <mods:dateIssued encoding="iso8601">2025</mods:dateIssued>
   </mods:originInfo>
   <mods:identifier type="citation">Collazo, S., Barriopedro, D., García-Herrera, R., and Beguería, S.: Extreme heat and mortality in the state of Rio de Janeiro in November 2023: attribution to climate change and ENSO, Nat. Hazards Earth Syst. Sci., 25, 3221–3238, https://doi.org/10.5194/nhess-25-3221-2025, 2025.</mods:identifier>
   <mods:identifier type="issn">1561-8633</mods:identifier>
   <mods:identifier type="doi">10.5194/nhess-25-3221-2025dhuduhdhuu</mods:identifier>
   <mods:identifier type="uri">https://hdl.handle.net/20.500.14352/123923</mods:identifier>
   <mods:identifier type="essn">1684-9981</mods:identifier>
   <mods:identifier type="officialurl">https://doi.org/10.5194/nhess-25-3221-2025</mods:identifier>
   <mods:identifier type="relatedurl">https://nhess.copernicus.org/articles/25/3221/2025/</mods:identifier>
   <mods:abstract>During 2023, the state of Rio de Janeiro experienced unprecedented maximum temperatures, resulting in a substantial increase in human mortality. This study aims to analyze the contribution of global warming to changes in the distribution of annual maximum temperatures and their subsequent impact on mortality rates. Our analysis of extreme temperatures reveals that a non-stationary model, in which the location parameter shifts linearly as a function of global warming and/or the El Niño–Southern Oscillation (ENSO), provides a significantly better fit to the data than its stationary counterpart. The northern region of the state exhibited the strongest response to climate change, while ENSO effects were most pronounced in the eastern region. Events as likely as the 2023 record were estimated at about 2 °C colder in pre-industrial times. Under a 2 °C global warming scenario, the probability of experiencing maximum temperatures equal to 2023 increases by at least a factor of 3. These findings highlight climate change as the primary driver of extreme temperature intensification, with ENSO acting as a secondary but significant factor in the eastern region. As global warming approaches 2 °C, Rio de Janeiro is projected to experience heat waves of that magnitude approximately every 4 years. Climate change has contributed to one in three heat-related deaths recorded during the peak of the event. Without adaptation and mitigation measures, global warming would further increase the death toll during extreme events of the same frequency to those experienced in 2023.</mods:abstract>
   <mods:language>
      <mods:languageTerm>eng</mods:languageTerm>
   </mods:language>
   <mods:accessCondition type="useAndReproduction">open access</mods:accessCondition>
   <mods:titleInfo>
      <mods:title>Extreme heat and mortality in the state of Rio de Janeiro in November 2023: attribution to climate change and ENSO</mods:title>
   </mods:titleInfo>
   <mods:genre>journal article</mods:genre>
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