Toward impact-based monitoring of drought and its cascading hazards

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Toward impact-based monitoring of drought and its cascading hazards

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Toward impact-based monitoring of drought and its cascading hazards

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10501 - Hydrology

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

Nature Reviews Earth & Environment

ISSN

2662-138X

e-ISSN

2662-138X

Svazek periodika

4

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

14

Strana od-do

582-595

Kód UT WoS článku

001040871800002

EID výsledku v databázi Scopus

2-s2.0-85166292338