Future Seamless Data-Processing and Forecasting System: Improving Nations' Readiness through Continuous Global Science and Technology Advancements

The World Meteorological Organization (WMO) coordinates a world-wide network/system of operational centers operated by WMO Members. This system, called the Global Data-Processing and Forecasting System (GDPFS), comprises many NWP centers all around the world and provide defined products and services for applications related to weather, climate, water and the environment. The WMO emerging ‘seamless’ framework is about accelerating the science of weather, climate and environmental forecasting to deliver a step change in the accuracy, relevance and consistency of impact-based and risk-based warnings, forecasting and advice to the partner agencies, responders and government.

This approach is designed on a seamless, science to service methodology; seamless across timescales (weather and climate), seamless across disciplines (weather and water (hydrology and oceanography in particular)), seamless across the value chain of impact based services (weather, climate, water and impact modelling), seamless across providers of the information and a seamless cycle of user needs determination from research to operations (R2O) to customer satisfaction and vice versa.

All Members including developing countries are expected to benefits from the advanced science and technology through the future seamless GDPFS. This presentation frames the discussion based on the multi hazard, impact based information flow diagram that describes the weather and climate and how this is translated to hazards and improved readiness. The presentation will explore further the rationale for embracing a paradigm shift towards ‘seamless’ and provides real-case examples where such an approach is working for our members.