Taxonomy Term List
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.
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.
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.
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.
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.
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