eC2: Baseline Study and Analytics on Systems Readiness and Stakeholder Capacity for an End-to-End Multi-Hazard Early Warning System Platform.

Deadline: 18-Nov-2019 at 11:59:59 PM (Eastern Time – Washington D.C.) vn-communitybased-disasterrisk-780x439

The goal of this study is to provide advisory services and technical inputs to inform the detailed design of a multi-hazard early warning system platform in Indonesia. This will be achieved through a baseline survey and analysis on multi-hazard monitoring and early warning systems, preparedness and emergency management capabilities at the national and sub-national level (in at least 8 districts), and early warning information needs and multi-stakeholder needs for early actions. The Consultant will also facilitate national-level verification consultations (including a workshop) and capacity building activities for government officials from the select districts and at the central level.

Continue reading

eC2: Development of a National Early Warning Platform for Rwanda and a Flood Early Warning system

Deadline: 19-Dec-2016 at 11:59:59 PM (Eastern Time – Washington D.C.)


A consulting firm is being sought to develop and operationalize a national platform to watersupport data sharing, analysis, visualization and decision making (for example through automated alert triggering) in support of a shared early warning approach between MIDIMAR, RMA, RNRA, and District government teams. While the focus of this support will be at the national level, the firm will also develop a local early warning system utilizing the national platform in the Sebeya Basin.

To complete the Sebeya Basin flood early warning system, the firm will also develop and operationalize a flood forecasting system in the basin. The firm will provide technical expertise on flood hazard assessment, particularly hydraulic/hydrological modeling, flood hazard mapping and operational flood forecasting, also to support capacity building of the appropriate agencies at the national and local levels.

Continue reading