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Toward impact-based monitoring of drought and its cascading hazards

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F23%3A97301" target="_blank" >RIV/60460709:41330/23:97301 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1038/s43017-023-00457-2" target="_blank" >http://dx.doi.org/10.1038/s43017-023-00457-2</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1038/s43017-023-00457-2" target="_blank" >10.1038/s43017-023-00457-2</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Toward impact-based monitoring of drought and its cascading hazards

  • Original language description

    Integrating impacts and cascading hazards to drought monitoring could improve prediction and mitigation of drought events. This Perspective discusses the limitations of existing indicators, the cascading hazards associated with drought and the importance of assessing drought impacts. Growth in satellite observations and modelling capabilities has transformed drought monitoring, offering near-real-time information. However, current monitoring efforts focus on hazards rather than impacts, and are further disconnected from drought-related compound or cascading hazards such as heatwaves, wildfires, floods and debris flows. In this Perspective, we advocate for impact-based drought monitoring and integration with broader drought-related hazards. Impact-based monitoring will go beyond top-down hazard information, linking drought to physical or societal impacts such as crop yield, food availability, energy generation or unemployment. This approach, specifically forecasts of drought event impacts, would accordingly benefit multiple stakeholders involved in drought planning, and risk and response management, with clear benefits for food and water security. Yet adoption and implementation is hindered by the absence of consistent drought impact data, limited information on local factors affecting water availability (including water demand, transfer and withdrawal), and impact assessment models being disconnected from drought monitoring tools. Implementation of impact-based drought monitoring thus requires the use of newly available remote sensors, the availability of large volumes of standardized data across drought-related fields, and the adoption of artificial intelligence to extract and synthesize physical and societal drought impacts.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10501 - Hydrology

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Nature Reviews Earth & Environment

  • ISSN

    2662-138X

  • e-ISSN

    2662-138X

  • Volume of the periodical

    4

  • Issue of the periodical within the volume

    8

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    14

  • Pages from-to

    582-595

  • UT code for WoS article

    001040871800002

  • EID of the result in the Scopus database

    2-s2.0-85166292338