The Climate Adaptation and Resilience (CARE) for South Asia Project, supported by the World Bank responds to gaps in climate-informed planning and decision making in South Asia.
Regional Resilience Data & Analytics(RDAS)
RDAS is a platform where updated weather/climate and sectoral datasets from various national, regional, and global sources can be accessed. The RDAS is composed of three pillars: data, analytics, and predictive tools. There are more than 200 datasets in the RDAS data repository, covering the following sectors: administration, agriculture, disaster management, economic, environment, social, transportation, water resources, and weather and climate. All of them have been verified.
RDAS provides analytics tools to be applied to datasets to help better understand behavior patterns and relationships. Its predictive tools assess and help users anticipate potential impacts of weather/climate occurrences/phenomena in identified priority sectors, according to historical patterns and relationships between weather/climate and these sectors.
Standalone decision support systems for water, livestock, road transport, disaster risk management, and planning and development sectors in Bangladesh, Nepal, and Pakistan, dynamically generate forecast-based decision guidance. The DSSs will be linked to the RDAS to provide products for various decision makers at the national and sub-national levels. Through various workshops and training sessions, the capacity of sectoral stakeholders to use and maintain the RDAS, DSSs, and their early warning/risk information products will be developed and enhanced. They can then apply the information products in the institutional context all the way to the grassroots and communities. All the DSSs are being co-developed by RIMES with the respective partner government institutions to ensure their institutionalization. Various training programs and workshops are being conducted with stakeholders in order to build their capacity and ensure they will be able to operate and maintain the systems well after project implementation.
Nepal
Bangladesh
Pakistan
ADVISE
In collaboration with MoALD, Agro-Advisory System, or ADVISE integrates weather forecasts, pest advisories, and other critical information to support decision-making for key crops such as maize, rice, and wheat.
In collaboration with DoR, National Vehicular and Transport Resilience Gateway, NAVIGATE serves as a dynamic and interactive platform for providing forecast-based advisories for specific road networks and advisories for road closures in Nepal.
The system utilizes existing products available from the Department of Hydrology and Meteorology (DHM), regional climate centers including the European Center for Medium Range Forecast (ECMWF)
In collaboration with MoALD, Agro-Advisory System, or ADVISE integrates weather forecasts, pest advisories, and other critical information to support decision-making for key crops such as maize, rice, and wheat.
In collaboration with DoR, National Vehicular and Transport Resilience Gateway, NAVIGATE serves as a dynamic and interactive platform for providing forecast-based advisories for specific road networks and advisories for road closures in Nepal.
The system utilizes existing products available from the Department of Hydrology and Meteorology (DHM), regional climate centers including the European Center for Medium Range Forecast (ECMWF)
In collaboration with MoALD, Agro-Advisory System, or ADVISE integrates weather forecasts, pest advisories, and other critical information to support decision-making for key crops such as maize, rice, and wheat.
In collaboration with DoR, National Vehicular and Transport Resilience Gateway, NAVIGATE serves as a dynamic and interactive platform for providing forecast-based advisories for specific road networks and advisories for road closures in Nepal.
The system utilizes existing products available from the Department of Hydrology and Meteorology (DHM), regional climate centers including the European Center for Medium Range Forecast (ECMWF)
RDAS is a platform where updated weather/climate and sectoral datasets from various national, regional, and global sources can be accessed. The RDAS is composed of three pillars: data, analytics, and predictive tools. There are more than 200 datasets in the RDAS data repository, covering the following sectors: administration, agriculture, disaster management, economic, environment, social, transportation, water resources, and weather and climate. All of them have been verified.
RDAS provides analytics tools to be applied to datasets to help better understand behavior patterns and relationships. Its predictive tools assess and help users anticipate potential impacts of weather/climate occurrences/phenomena in identified priority sectors, according to historical patterns and relationships between weather/climate and these sectors.
South Asia Hydromet Forum (SAHF)
The South Asia Hydromet Forum (SAHF) is a regional initiative that provides capacity building and training activities to support National Meteorological and Hydrological Services (NMHSs) to generate ad transform climate data into reliable information that are critical to saving lives and assets and strengthening the resilience of communities in South Asia.
Developing platforms to enhance access to climate related and sectoral data and information for resilient planning and investments in South Asia
Achievements of CARE Component I in Number
0
Regional Digital System Developed
0
Decision Support Systems Developed
0
Government Officials Trained In Using The Systems
0
Climate Related And Sectoral Datasets Integrated
0
Climate Related And Sectoral Datasets Integrated
0
Female Government Officials Trained
Regional Resilience Data & Analytics (RDAS)
A regional system for South Asia countries is comprised of 3 distinct but inter-connected pillars: data, analytics, and predictive tools. RDAS makes available climate and sectoral data and information, and tools that enable stakeholders to use data from various sources (either imbedded in RDAS or custom data from stakeholders themselves) and instantly analyze such data to infer relationships between climate and socio-economic parameters to generate potential societal impacts of particular weather/climate events.
RDAS is inter-connected with the CARE Component 1-supported DSSs in Bangladesh, Nepal, and Pakistan, and the South Asia Hydromet Forum’s Knowledge Hub, and DataEx. This inter-connectivity facilitates exchanges and assimilation of datasets across tools, for enriching the databases and enhancing efficiency in analysis.
National-level DSS/digital tools developed/enhanced for agriculture/livestock, disaster risk management, planning and development, transport, and water sectors in focus countries in South Asia, namely, Bangladesh, Nepal, and Pakistan, through a co-development process with partner government institutions, assist stakeholders in climate-informing plans and decisions of different timescales, through dynamic generation and dissemination of forecast-based decision guidance products based on stored and analyzed historical climate, sectoral data, and automatically-fetched forecast products (sub-seasonal to seasonal forecasts, and climate projections). Mobile applications, to complement the DSSs, were also developed for ease of access of relevant users.
The SAHF, a convergence of National Meteorological and Hydrological Services (NMHSs) in the South Asian Region, is a venue for sharing knowledge, building capacity, and aligning national-level technical assistance with regional engagement. SAHF aims to increase and improve the capacity of SAR NMHSs to progressively respond to stakeholders’ demands, especially in terms of impact-based forecasting, numerical weather prediction, and an observational network. All of these tools and technologies converge in the publicly accessible SAHF Knowledge Hub.
Capacity development, through training, aims to enable sectoral institutions and community-level stakeholders in the SAR to make use of and sustain the RDAS and national-level DSSs, and apply customized early warning/risk information products in plans and decisions.