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Displaying 15 of about 309 resultsThis document covers humanitarian aid activities implemented through the project Strengthening the integration of early warning systems for more effective disaster risk reduction, through knowledge and tools transfer. The project is led by the United Nations Development Program (UNDP) in collaboration and coordination with the Caribbean Disaster Emergen…
This webinar session provides an opportunity to better understand the achievements, challenges and opportunities of tsunami warning and mitigation system for Pacific Island Countries (PIC) and identify areas of collaboration and engagement for an effective and efficient tsunami warning and mitigation system. The panel will discuss lessons learnt from…
The United Nations Office for Outer Space Affairs (UNOOSA) and the Centre for Space Science and Technology Education for Asia and the Pacific (Affiliated to the United Nations) are launching a Massive Open Online Course (MOOC) on “Geospatial Applications for Disaster Risk Management”. This MOOC is a free and flexible online training programme available…
The School of Environmental Sciences, Mahatma Gandhi University, Kottayam is organizing the Disaster, Risk and Vulnerability Conference - 2020 (DRVC 2020). In the present COVID-19 scenario the conference will be conducted through Virtual Mode on focused themes during 9–10 October and 16–17 October 2020.
The conference is in continuation of th…
Objective:
Advocate for the implementation and improvement of early warning, early action in the region, especially as we are preparing for a gradual return to new normality in the context of the COVID-19 pandemic.
Date:
Wednesday, August 12, 2020.
10:00 a.m. (Panama time).
Languages:
English and Spanish (simultaneous trans…
This brief is based on a Zurich Flood Resilience Alliance Post Event Review Capability (PERC) study analysing the 2019 Cyclone Idai impacts in Malawi, Mozambique and Zimbabwe. This brief presents a series of resilience lessons from Cyclone Idai based on key informant interviews and background research, and highlights opportunities for strengthening earl…
The GEOGLAM Crop Monitor for Early Warning (CM4EW) is an international and transparent multi-source, consensus assessment of the crop growing conditions, status, and agro-climatic conditions that are likely to impact global production. The CM4EW reports on climate hazards, such as drought, flood, and extreme weather, as well as pests and crop diseases,…
The GEOGLAM Crop Monitor for Early Warning (CM4EW) is an international and transparent multi-source, consensus assessment of the crop growing conditions, status, and agro-climatic conditions that are likely to impact global production. The CM4EW reports on climate hazards, such as drought, flood, and extreme weather, as well as pests and crop diseases,…
Due to the distinct climatic variability across the Asian continent and its geophysical setting, the majority of countries on the Asian continent are subject to natural disasters. The frequency of these extreme events, especially the hydro-meteorological events, has shown an increasing trend. The present study explores the consequences of these extreme…
This study aims to estimate the willingness to pay (WTP) for improved warning services by considering the at-risk households' trade-off between proposed improved early warning services (EWS) and existing (EWS) in coastal Bangladesh. Empirical results show that the WTP of an at-risk household for improved EWS was estimated at Bangladeshi Taka BDT 468 (≈…
This paper presents DROP, a new global probabilistic precipitation-based dataset for monitoring and early warning of meteorological drought events. DROP is operationally updated every monthly and provides probabilistic information in near–real time, that is, up to the previous month. DROP could become an important tool to inform end users across a range…
The GEOGLAM Crop Monitor for Early Warning (CM4EW) is an international and transparent multi-source, consensus assessment of the crop growing conditions, status, and agro-climatic conditions that are likely to impact global production. The CM4EW reports on climate hazards, such as drought, flood, and extreme weather, as well as pests and crop diseases,…
The GEOGLAM Crop Monitor for Early Warning (CM4EW) is an international and transparent multi-source, consensus assessment of the crop growing conditions, status, and agro-climatic conditions that are likely to impact global production. The CM4EW reports on climate hazards, such as drought, flood, and extreme weather, as well as pests and crop diseases,…
The brochure describes how the EO4SD CR cluster supported ARC’s Africa RiskView (ARV) tool, combining EO data and population vulnerability data to create an early-warning model that measures food insecurity as well as estimating response costs, helping decision-makers to make early and effective interventions. This included making an on-demand flood map…
The GEOGLAM Crop Monitor for Early Warning (CM4EW) is an international and transparent multi-source, consensus assessment of the crop growing conditions, status, and agro-climatic conditions that are likely to impact global production. The CM4EW reports on climate hazards, such as drought, flood, and extreme weather, as well as pests and crop diseases,…