Webinar held to provide overview of DSS

On March 3, RIMES organized a webinar to provide an introduction to the components and functionalities of a Decision Support System (DSS), and on the use of information generated from DSS in the development plans and investment decisions.

About 60 individuals attended the webinar, including RIMES and World Bank staff, and local government officials from Bangladesh, Nepal and Pakistan working in the agriculture, water resources, transport, and finance and planning sectors.

At the webinar, Amir Rajak, IT Expert, provided an overview of DSS. He explained: “DSS is a collection of integrated systems, data and models that guides organizations to make rapid decisions. This system may be used to make informed decisions when managing water resources or building government infrastructures, or when authorities need to quickly send out public advisories during natural disasters.”

DSS is a collection of integrated systems, data and models that guides organizations to make rapid decisions.

“In farming, a DSS may be used to visualize weather and climate data, and generate forecasts, bulletins and advisories for farmers,” informed Itesh Dash, RDAS/DSS Development Lead. “The Specialized Expert System for Agro-Meteorological Early Warning (SESAME) we developed at RIMES, for example, can get weather updates for farm locations with accuracy and at different timescales, generate a crop weather calendar and send out an advisory on what to do to specific crops,” he added.

In farming, a DSS may be used to visualize weather and climate data, and generate forecasts, bulletins and advisories for farmers

“With disaster management, a DSS is a useful tool to prepare and respond to floods and droughts,” said Jothiganesh Shanmugasundaram, Climate Applications Specialist. “DSS also supports governments to achieve their long-term plan to reduce disaster risks, and to align with global frameworks such as the Sendai Framework for Disaster Risk Reduction,” he added.

With disaster management, a DSS is a useful tool to prepare and respond to floods and droughts

The webinar An Overview of Decision Support System (DSS) is the first of the six-episode webinar series Decision Support System (DSS) for Understanding and Reducing Climate Risks. The webinar is under the CARE for South Asia project, implemented by RIMES and the ADPC, with support from the World Bank. The project supports the South Asia region in building climate resilience by improving the availability of regional climate information and analytics, developing sector-specific climate resilience guidelines, tools and capacities, and promoting climate-resilience decisions, policies and investments.

Click here to visit the webinar’s page and download the event documents

Click here to reserve a seat for the second webinar DSS for the Agriculture Sector. This will be held online via zoom on May 4, 2021.

Other Stories

DAE, RIMES in Joint Effort to Champion Climate-Smart Agriculture in Bangladesh

On Tuesday, December 6, 2022, the two have officially signed a memorandum of understanding (MOU) to facilitate cooperation toward enhancing the delivery of agricultural climate services in Bangladesh by supporting the Bangladesh Agro-Meteorological Information System (BAMIS)

Key Agriculture Stakeholders in Bangladesh Participate in Sectoral Needs Assessment Validation Workshop

On December 6, 2022, a Validation Workshop under the Climate Adaptation and Resilience (CARE) for South Asia project was organized by the Regional Integrated Multi-hazard Early Warning System (RIMES) in Dhaka, Bangladesh.

World Bank-CARE for South Asia Delegation Visits RIMES Headquarters

On Monday, October 17, 2022, representatives from the World Bank visited the Regional Integrated Multi-Hazard Early Warning System (RIMES) headquarters in Thailand. The Bank delegation, composed of Climate Adaptation and Resilience (CARE) for South Asia project team members met with their counterparts in RIMES to review CARE for South Asia’s midterm progress and re-assess plans for project sustainability.