Climate risk index 2026 : Who suffers most from extreme weather events?

<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
  <record>
    <leader>00000cam a22000004  4500</leader>
    <controlfield tag="001">MAP20260005874</controlfield>
    <controlfield tag="003">MAP</controlfield>
    <controlfield tag="005">20260223152353.0</controlfield>
    <controlfield tag="008">260223s2025    deu||||       ||| ||eng d</controlfield>
    <datafield tag="040" ind1=" " ind2=" ">
      <subfield code="a">MAP</subfield>
      <subfield code="b">spa</subfield>
      <subfield code="d">MAP</subfield>
    </datafield>
    <datafield tag="084" ind1=" " ind2=" ">
      <subfield code="a">84</subfield>
    </datafield>
    <datafield tag="110" ind1="2" ind2=" ">
      <subfield code="0">MAPA20260003610</subfield>
      <subfield code="a">Germanwatch</subfield>
    </datafield>
    <datafield tag="245" ind1="1" ind2="0">
      <subfield code="a">Climate risk index 2026</subfield>
      <subfield code="b">: Who suffers most from extreme weather events?</subfield>
      <subfield code="c">Lina Adil... [et al.]</subfield>
    </datafield>
    <datafield tag="260" ind1=" " ind2=" ">
      <subfield code="a">Bonn</subfield>
      <subfield code="b">Germanwatch</subfield>
      <subfield code="c">November 2025</subfield>
    </datafield>
    <datafield tag="300" ind1=" " ind2=" ">
      <subfield code="a">74 p.</subfield>
    </datafield>
    <datafield tag="505" ind1="0" ind2=" ">
      <subfield code="a">Key Messages -- Introduction: Qualifier: How to read the CRI -- Key results of Climate Risk Index 2026: Countries most affected in 19952024; Countries most affected in 2024; Detailed look at relevant events -- Interpreting the CRI results: Unusually extreme events, continuous threats, and the new normal; How Global South and Global North countries are affected; Data gaps as a challenge to determining climate risks and impacts: A solution approach; Sensitivity analysis: Including HDI data as a proxy for data gaps -- Linking extreme weather events and climate change: Current scientific status of attribution science; Attribution of CRI event types to climate change -- CRI context: Status quo of international climate and resilience policy: The large emissions gap; Latest developments in international climate and resilience policy; What COP30 needs to deliver to respond to CRI results -- Method: Objectives and scope; Components and indicators; Calculating the CRI score; Time frames; Limitations of the index -- Bibliography -- Annex</subfield>
    </datafield>
    <datafield tag="520" ind1=" " ind2=" ">
      <subfield code="a">The Climate Risk Index 2026 analyzes the human and economic impacts of 9,700 extreme weather events that occurred between 1995 and 2024, identifying which countries have been most affected. The report reveals more than 832,000 deaths and direct losses exceeding USD 4.5 trillion. It highlights that Global South countries are the most severely impacted, with Dominica, Myanmar, and Honduras standing out in the long-term analysis, and Saint Vincent and the Grenadines, Grenada, and Chad in 2024. The report also incorporates the role of climate change according to attribution studies, showing the increased frequency and intensity of these phenomena. It concludes with urgent policy recommendations on mitigation, adaptation, and international financing</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080574932</subfield>
      <subfield code="a">Cambio climático</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080612429</subfield>
      <subfield code="a">Riesgos extraordinarios</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20130005317</subfield>
      <subfield code="a">Pérdidas máximas por siniestros</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080595876</subfield>
      <subfield code="a">Derivados climáticos</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080562922</subfield>
      <subfield code="a">Inundaciones</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080542290</subfield>
      <subfield code="a">Sequía</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20260000176</subfield>
      <subfield code="a">Olas de calor</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080551254</subfield>
      <subfield code="a">Huracanes</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080608392</subfield>
      <subfield code="a">Riesgos meteorológicos</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080544249</subfield>
      <subfield code="a">Índices</subfield>
    </datafield>
    <datafield tag="700" ind1="1" ind2=" ">
      <subfield code="0">MAPA20260003627</subfield>
      <subfield code="a">Adil, Lina</subfield>
    </datafield>
    <datafield tag="710" ind1="2" ind2=" ">
      <subfield code="0">MAPA20260003610</subfield>
      <subfield code="a">Germanwatch</subfield>
    </datafield>
    <datafield tag="856" ind1=" " ind2=" ">
      <subfield code="u">https://www.germanwatch.org/sites/default/files/2025-11/CRI%2026%20full%20report.pdf</subfield>
    </datafield>
  </record>
</collection>