Category: Early Warning
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End to End Early Warning System for Sand and Dust Storms in Saudi Arab
Sand and dust storms (SDS) are quite common in the central and the eastern regions of the Kingdom and affect the daily life for short time intervals, (Maghrabi et al, 2009). Over the last decade, scientists have come to realize the impacts on climate, human health, the environment and many socio econimic sectors due to…
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Sea Level Rise Impact based on 2017 report for USA
Long-term sea level rise driven by global climate change presents clear and highly consequential risks to the United States over the coming decades and centuries. Today, millions of people in the United States already live in areas at risk of coastal flooding, with more moving to the coasts every year (Melillo et al., 2014). Rising…
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River and water problems on a catchment scale
This great little video succinctly demonstrates why we keep on trying to approach river and water problems on a catchment scale.
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22 Nov Earthquake!
Japan Earthquake On Tuesday the 22nd of November the residents of Fukushima experienced a significant day. A 6.9 magnitude earthquake struck Japan’s Honshu island on Tuesday. Japan has sent out tsunami warnings across the areas of Fukushima and Miyagi, the residents brace for the worst after the 2011 Japan tsunami. It is expected that the…
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UNISDR Science and Technology Conference on the Implementation of the Sendai Framework for Disaster Risk Reduction 2015-2030
The Sendai Framework, a landmark international framework adopted in 2015, calls for a shift from managing disasters to managing risks. This requires a more holistic approach to risks and a stronger focus on risk-creation processes, and it presents opportunities to approach disaster risk reduction (DRR) as an integral part of sustainable development. The UNISDR Science…
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SUMMARY REVIEW ON HYDROMETEOROLOGY GOOD PRACTICE AT THE INTERNATIONAL AND NATIONAL LEVEL – CASE OF VIETNAM
This report is a summary review on recommended practice, law and policy on hydro meteorological activities in the global context. The World Meteorological Organization, which is the international leader of the development of law and policy on hydrology and meteorology. They provide recommendations and suggest good practices through a manual and a guide for different…
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REINFORCING COMMUNITY FLOOD RESILIENCE FOR ROAD INFRASTRUCTURE
The Ministry of Public Works and Transportation (MPWT) is increasingly focusing its attention on extreme climate events and their impact on Cambodia’s road network. Under the ADB-funded “Climate Resilience for Provincial Road Improvement Project” (CR-PRIP), MPWT aims to promote climate adaptation and environmentally friendly roads. The project will ensure the robustness, safety, pass-ability, and durability…
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Pakistan Flood 2014- Lesson Identified Never Learned
I wrote similar article right after 2010 floods. I had a chance to work in Pakistan to conduct some climate risk management assessment and training program for the Government officials on climate risk management during 2009-2010. Based on my assessment, major recommendation was to strengthening flood forecasting and warning system with longer lead time and…
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How Resilient is Coastal Community for Tsunami Warning- Case Study from Ranong Province, Thailand
Early warning system (EWS) is an integral part of human to influence perceptions, decisions and behaviour in times of adverse conditions and crises. Thus an early warning system integrated science, institutions and society for hazard detection to trigger warning, influences behavior for decision making and community response. People still EWS as their immediate warning and…
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Applications of Medium Range Probabilistic Flood Forecast for Societal Benefits: Lessons Learnt from Bangladesh
It has long been recognized that if society could have advanced information on weather, the adverse effects associated with extreme weather could be minimized. The prevalence of traditional forecast practices in various parts of the world reflects the demand for long-range forecast schemes to manage uncertainties associated with it. Recent advancements in long-lead flood prediction…