MATEC Web Conf.
Volume 229, 2018International Conference on Disaster Management (ICDM 2018)
|Number of page(s)||5|
|Section||Improving Lesson Learnt in Disaster Management|
|Published online||14 November 2018|
Strengthening multi-hazards early warning system in the pacific through BMKG-UNESCAP collaboration pilot projects
1 Research and Development Center, BMKG, Jl. Angkasa I No. 2, Kemayoran, Jakarta, 10720, Indonesia
2 Climate Services Center, BMKG, Jl. Angkasa I No. 2, Kemayoran, Jakarta, 10720, Indonesia
3 Public Weather Services Center, BMKG, Jl. Angkasa I No. 2, Kemayoran, Jakarta, 10720, Indonesia
4 Research and Development Center, BMKG, Jl. Angkasa I No. 2, Kemayoran, Jakarta, 10720, Indonesia
5 Public Weather Services Center, BMKG, Jl. Angkasa I No. 2, Kemayoran, Jakarta, 10720, Indonesia
6 Weather Modification Technology Center, BPPT, Jl. Raya Puspiptek, Serpong, Banten, Indonesia
* Corresponding author: email@example.com
On the period of September to December 2017, three pilot projects were implemented in Tonga, Papua New Guinea, and Solomon Islands aiming to strengthen the multi-hazards early warning system in the respective countries through close collaboration between the Indonesian Agency for Meteorology Climatology and Geophysics (BMKG) and United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP). Main activities during the implementation phase were tailored based on gap analysis and risk assessments conducted beforehand. Thus, installation of high-resolution numerical weather, ocean wave, and climate prediction and forecasting tools were chosen to fill in the assessed gaps. These activities were incorporated with capacity building activities and high-level meetings with related stakeholders in disaster risk management using the concept of Fast-Leveraging-Easy-Economical-Sustain (FLEES). All three pilot projects had successfully proven to achieve their objectives by improving the capacities of National Meteorological Services in those three countries to produce multi-hazards early warning in higher resolution at a regional scale for disaster management in their respective countries.
© The Authors, published by EDP Sciences, 2018
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