The project aims for a weather forecast-based agro-advisory system for Sri Lanka, piloted in Mhailluppallama in the dry zone and in Sitaeliya and Bandarawela in the wet zone.
Activities include:
Data collection and system customization
Adaptation of FARM School training modules
FARM School training of trainers
As Field Coordinator, Jayed works in coordinating at local and field levels in Bangladesh. He is responsible for Field level activities and facilitations and building strategic alliances with NGOs and Community groups for local project implementations. He is also responsible for selection of volunteers and ensures participation of required members at field level. In addition, he provides narrative, qualitative and quantitative monitoring information/data to support monthly, quarterly and annual reports.
The project supported PTT research on precipitation forecast-based river runoff-reservoir inflow forecasting by improving quality of precipitation forecasts with the use of bias correction techniques. Key activities included identification and implementation of appropriate bias correction technique for improved precipitation forecasts, and forecast validation.
The project assisted BRAC in developing a Standard Operation Procedure for disaster management in support of BRAC Bangladesh’s Disaster, Environment and Climate Change program. Key activities included analysis of BRAC’s past emergency response activities, practices and institutional knowledge; incorporation of best practices; clarification of roles, responsibilities, relationships, common goals, and opportunities among BRAC, the government, and civil society organizations; review and analysis of climate-related risks; SOP development; training; and pilot implementation.
This project component aimed at improving data availability in support of flood forecasting and warning through establishment of 5 automatic weather stations and 15 automatic water level stations. Key activities included site identification, survey, and selection; equipment acquisition; onsite installations and telemetry; testing and integration into national and regional systems; and onsite training on operation, maintenance, and troubleshooting.
The project aimed to develop longer-lead flood forecasts for Ayeyarwady, Chindwin, and Sittoung basins, and demonstrate their application in decision-making for resource management and disaster risk reduction. Key activities included flood forecast model development, testing, and validation; decision support system development for flood risk assessment and warning; and training and technology transfer.