[CODATA-international] Creating resilient communities with medium-range hazard warning systems

[Asha CODATA]

The CODATA Task Group on FAIR Data for Disaster Risk Research (FAIR-DRR)
<https://codata.org/initiatives/task-groups/fair-data-for-disaster-risk-research/>
organises
occasional webinars on DRR data related issues
<https://codata.org/initiatives/task-groups/fair-data-for-disaster-risk-research/disaster-risk-webinars/>.
The 2020 series resulted in discussions and collaborations, the outcome of
which is a newly published paper authored by Fakhruddin (Tonkin+Taylor, NZ;
chair of the CODATA TG on FAIR Data for DRR); Sir Peter Gluckman (President
Elect, International Science Council); Anne Bardsley (Koi Tū: The Centre
for Informed Futures, University of Auckland, New Zealand); Georgina
Griffiths (MetService, New Zealand); and Andrew McElroy (United Nations
Office for Disaster Risk Reduction, Fiji).

Creating resilient communities with medium-range hazard warning
systems, Progress in Disaster Science, 2021,
https://doi.org/10.1016/j.pdisas.2021.100203

This paper discusses the opportunities to use medium-range ensemble
forecasting to support decision making to increase the resilience of
communities and the ways to embed holistic early warning systems in
risk-informed sustainable development. It provides a set of recommendations
for medium-range forecasting applications for people-centred early warnings
and disaster preparedness. This paper also contributes to the Sendai
Framework Global Target G.

*Abstract*
Resilience to natural hazards requires integrated risk management – from
hazard identification and risk register, hazard warnings and risk
communication, to preparation for and response when an event occurs.
Medium-range hazard warnings play a vital role in strategic and tactical
planning for resilience to natural hazards. Research advancements have
rapidly improved observation, modelling and analysis of natural
hazard forecasting for disaster risk reduction. However, many of
these advances have not been tailored to benefit communities at risk as
geophysical and hydrometeorological hazards continue to claim thousands of
lives and cause irreparable damage to homes, businesses and critical
infrastructure. This paper discusses the opportunities to use medium-range
ensemble forecasting to support decision making to increase the resilience
of communities and the ways to embed holistic early warning systems in
risk-informed sustainable development. It provides a set of recommendations
for medium range forecasting applications for people-centred early warnings
and disaster preparedness.


Thanks,

Asha
--
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Asha Law | Program Assistant, CODATA | http://www.codata.org

E-Mail: asha at codata.org
Tel (Office): +33 1 45 25 04 96

CODATA (Committee on Data of the International Council for Science), 5 rue
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