Taxonomy Term List
Five approaches to build functional early warning systems
Throughout the years, the various United Nations agencies, funds, and programmes have played an important role in promoting and developing a culture of preparedness and prevention. The UN has underlined the value of prevention strategies on multiple occasions, not only by encouragement, but also through a number of projects, conferences, and platforms. As climate change and its consequences are becoming ever more evident, the private and public sectors are now counting on the assistance of academia and international organisations to support prevention strategies and build a more resilient society. Through a preliminary analysis which supported this publication, qualitative interviews with disaster risk reduction experts from UNDP country offices in the region, as well as through desk research, some of the main challenges in the field of early warning have emerged.
Early Warning System (EWS) Standard Operating Procedures | Cambodia
This new set of standard operating procedures (SOP) was developed by expanding scope of the existing SOP, which focused primarily on flood-based early warning systems.
Forecast Application for Risk Management in Agriculture (FARM) School Manual | Cambodia
The FARM programme (short for Forecast Application for Risk Management in Agriculture) has been developed by Regional Integrated Multi-Hazard Early Warning System for Africa and Asia (RIMES) and is to be used by the Ministry of Agriculture, Forestry and Fisheries as a standard training programme for the use of climate information in agricultural practices. As well as teaching aspects of climate monitoring, prediction and forecasting application (localized to the context), the curriculum facilitates regular discussions between farmers, extension workers and meteorological authorities.
Specialized Expert System for Agro-Meteorological Early Warning (SESAME) Expert Users Guide | Cambodia
Cambodia is highly dependent on agriculture as a major industry and source of food, with high levels of subsistence farming in the country. The Specialized Expert System for Agro-Meteorological Early Warning (known as ‘SESAME’) has been developed in order to allow better integration of climate information into this sector. SESAME will allow various government departments to coordinate and create crop advisories for farmers, localized to each province, crop and growth stage of that crop.
Forecast Customization System (FOCUS) User Guide | Cambodia
The Forecast Customization System (known as ‘FOCUS’) has been developed by the Region Integrated Multi-Hazard Early Warning System alongside UNDP, and Cambodia’s Ministry of Agriculture, Forestry and Fisheries and Ministry of Water Resources and Meteorology. Designed specifically for the Cambodian context, this guide outlines how to access and use the FOCUS system, which will enable forecasters at Cambodia’s Department of Meteorology to better predict upcoming weather and climate conditions.
Climate Smart Agriculture Curriculum
FARM Field School Training of Trainers’ Manual (August 2019)
Designed as a season-long series of interfacing among forecasters, extension workers, and farmers, the FARM School is a multi-tier learning-by-doing capacity building program customized for farmers in specific areas. In general, the FARM School process aims to enhance farmers’ understanding and use of multi- timescale forecasts in farm-level planning and decision-making, thereby increase agricultural production, optimize use of limited resources, and maximize economic benefits.
Monitoring and Evaluation Manual for the Community Climate Change Adaptation Fund
A best practice from the project included the development of an M&E Manual to evaluate community project impacts. This manual presents a manual on how to evaluate similar future projects and generate capacities at a community level for monitoring impact on resilience.
Public Service 2030 – Making the Sustainable Development Goals Happen!
This book contains 17 stories of PublicService Excellence from around the globe.