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United Nations Department of Economic and Social Affairs Sustainable Development

Coastal Flooding Forecast Strengthened in Indonesia

    Description
    Intro

    Indonesia is making progress in integrating coastal flood forecasting into its meteorological early warning system to increase protection against one of the major hazards impacting the country.<br />
    <br />
    The Indonesian Coastal Inundation Forecasting Demonstration Project (CIFDP), led by the Indonesian Meteorological Climatological and Geophysical Agency, has successfully built a flood forecasting and warning capability for Jakarta and Semarang City, which face critical and ongoing flood challenges.

    Objective of the practice

    The five-year demonstration phase has just ended and will now develop into the Indonesian Coastal Inundation Forecasting System, which is expected to be operational by April 2019. It is hoped to improve communications of early warnings to the end-user and extend the forecasting system beyond Jakarta and Semarang-City. Consideration will also be given to integrating this system with a tsunami warning capability, thus enabling a full end-to-end coastal inundation Multi Hazard Early Warning System (MHEWS). <br />
    <br />
    Indonesia has just over 99,000 km of coastline: the third longest in the world. Sitting amongst three tectonically active plates and within the ‘Pacific Ring of Fire’, Indonesia faces many natural hazards, with devastating impacts. Coastal flooding is a major risk, as a result of extreme weather and high tides, and earthquake triggered tsunamis, as was highlighted yet again in 2018 with tragic results.<br />
    <br />
    Improving safety-related services is a fundamental priority of WMO. The Joint WMO-IOC Technical Commission for Oceanography and Marine Meteorology (JCOMM) and the WMO Commission for Hydrology (CHy) initiated the Coastal Inundation Forecasting Demonstration Project (CIFDP) in recognition of a growing global coastal population and related need to develop efficient early warning systems.<br />
    <br />
    The meeting in Bali, from 28 to 30 January, brought together representatives of different government agencies, end users and technical experts involved in developing the system and the end-user stakeholders, gathered with BMKG (Badan Meteorologi, Klimatologi, dan Geofisika of Indonesia) , WMO and international partners to share the results of 5 years of collaborative effort.

    Partners
    CIFDP proved unique in bringing together stakeholders across a wide range of Indonesian government agencies and non-governmental organizations, as well as the hydrological and oceanographic communities. It demonstrated how the forecasting and warning system will provide significant benefits to coastal populations in Jakarta and Semarang City and support the Sendai Framework on disaster risk reduction.
    Conclusions

    This project is an excellent example of forecast providers working closely with the end user community from the beginning, and with the international experts, to jointly develop the forecast system. This has created a true sense of ownership of the project by Indonesia and supports sustainability and further enhancement of the Coastal Inundation Forecasting system

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    Resources
    Staff / Technical expertise
    Five BMKG staff were trained in the project, up from one at the beginning. BMKG funded the work, with some contribution from the government of The Netherlands.
    No progress reports have been submitted. Please sign in and click here to submit one.
    False
    Name Description
    Action Network
    SDG Good Practices First Call
    This initiative does not yet fulfil the SMART criteria.
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    Timeline
    01 April 2014 (start date)
    08 February 2019 (date of completion)
    Entity
    World Meteorological Organization
    SDGs
    Region
    1. Asia and Pacific
    Geographical coverage
    Jakarta and Semarang City
    Website/More information
    N/A
    Countries
    N/A
    Contact Information

    Laura Paterson, Coordination Office: United Nations System Decision Support