Climate Adaptation and Resilience (CARE) for South Asia

The project aims to contribute in translating this policy into actions through enhanced regional cooperation and knowledge on climate resilience and adaptation, and development of standards and guidelines to facilitate climate-resilient planning and investments.

By creating an enabling environment for climate-resilient policies and investments across South Asia, CARE for South Asia to achieve its development goal with the following indicators:

Fardini Khandaker

As project officer Fardini works in implementing  regional, national and local level projects. She is responsible for technical support in  hydrological model development, application, training and undertaking necessary research to improve model performance. She collaborates directly with various government organizations, particularly flood forecasting and warning centers. Her primary tasks include data processing, GIS mapping and hydro-meteorological data analysis. Fardini assists in the facilitation and management of field visits by collaborating with donors and partners.

Enhancement of observation and monitoring capacity of PAGASA, Philippines

<p>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.</p>

Saroj Kumar Choudhury

As a Software Application Developer, Saroj supports the RIMES system development and research unit in developing state-of-the-art applications for Disaster Management solutions. He provides technical support in developing and customizing the Decision Support Systems and tools (Both web-based and mobile-based), API development, Agricultural Risk Monitoring, and Management System, Heatwave system, Lightning Advisory System, and Ocean information system. He coordinates with state/country partners and provides technical support to project activities at national and field levels.

Scoping study of early warning systems in Delhi, Andhra Pradesh, Bihar, Tamil Nadu, and Rajasthan, India: Good practices, challenges, and opportunities

The project mapped early warning frameworks and practices in Delhi, Andhra Pradesh, Bihar, Tamil Nadu, and Rajasthan in India, to guide Save the Children programming. Key activities included institutional landscaping; mapping of early warning frameworks for identified hazards; and documentation of existing practices on delivery and use of forecasts and warnings at community level.

Customizing the Specialized Expert System for Agro-Meteorological Early Warning (SESAME) for Sri Lanka (2020 -25 5Back up support)

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

Jayed Hossain

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.

Improvement of precipitation forecast using bias correction techniques for reservoir management at seasonal scale

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.

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