ECMWF ECMWF has been and continues to advance weather science by incorporating an increased level of complexity of physical and chemical processes and the interaction between atmosphere, ocean, sea-ice and land into the model. As a contributor to the GDPFS, ECMWF expects that by 2025 it will provide ensemble predictions of high impact weather up to two weeks ahead. It will also provide a seamless approach, aiming towards predictions of scale patterns and regime transitions up to four weeks ahead and global-scale anomalies up to a year ahead. CAS CAS was the originator of the decisions by EC LXI in May 2009 to implement: A unified approach to multi-disciplinary weather, climate, water and environmental prediction research and to a step up in high-performance computing investments for coordinating and accelerating weather, climate, coupled chemical and hydrology model development, validation and use; Closer linkages between research, operations and users through Forecast Demonstration Projects (FDPs) that accelerate technology transfer; The review and rationalization of the roles and mandates of the WMO Commissions, and the improvement of their effectiveness in capturing optimal science input through WMO decision-making and thereby, enhancing WMO Member capabilities in research, observations, prediction and services. CAS has also delivered the Sand and Dust Storm operational service (an example of multidisciplinary product), as well as being behind a number of significant improvements in NWP technologies. Looking forward, CAS is now ready to move up to IG3IS, HIW, S2S, GURME, Air Quality and GURME production of new products, which will have potentially large impacts on climate change mitigation policies or life shortening and illness resulting from bad air. B) DRAFT WHITE PAPER SEAMLESS DPFS – 1. Preamble 1.1 The successes of the past WMO and its Members have, since their creation, successfully met a number of major technology jumps: for example, the switch from data plotting and map drawing by hand, and more or less subjective synoptic analyses to a NWP-based system using supercomputers and automation technologies, then later on to global modeling, highly efficient and accurate numerical methods and sophisticated data analysis systems, then further on to global operational usage in data assimilation of space-based observing systems in real time, then on to ensemble methods that allowed a probabilistic estimate of the accuracy of the forecast and
ECMWF ECMWF has been and continues to advance weather science by incorporating an increased level of complexity of physical and chemical processes and the interaction between atmosphere, ocean, sea-ice and land into the model. As a contributor to the GDPFS, ECMWF expects that by 2025 it will provide ensemble predictions of high impact weather up to two weeks ahead. It will also provide a seamless approach, aiming towards predictions of patterns and regime transitions up to four weeks ahead and global-scale anomalies up to a year ahead. CAS CAS was the originator of the decisions by EC LXI in May 2009 to implement: A unified approach to multi-disciplinary weather, climate, water and environmental prediction research and to a step up in high-performance computing investments for coordinating and accelerating weather, climate, coupled chemical and hydrology model development, validation and use; Closer linkages between research, operations and users through Forecast Demonstration Projects (FDPs) that accelerate technology transfer; The review and rationalization of the roles and mandates of the WMO Commissions, and the improvement of their effectiveness in capturing optimal science input through WMO decision-making and thereby, enhancing WMO Member capabilities in research, observations, prediction and services. CAS has also delivered the Sand and Dust Storm operational service (an example of multidisciplinary product), as well as being behind a number of significant improvements in NWP technologies. Looking forward, CAS is now ready to move up to IG3IS, HIW, S2S, GURME, Air Quality and GURME production of new products, which will have potentially large impacts on climate change mitigation policies or life shortening and illness resulting from bad air. B) DRAFT WHITE PAPER – SEAMLESS DPFS 1. Preamble 1.1 The successes of the past WMO and its Members have, since their creation, successfully met a number of major technology jumps: for example, the switch from data plotting and map drawing by hand, and more or less subjective synoptic analyses to a NWP-based system using supercomputers and automation technologies, then later on to global modeling, highly efficient and accurate numerical methods and sophisticated data analysis systems, then further on to global operational usage in data assimilation of space-based observing systems in real time, then on to ensemble methods that allowed a probabilistic estimate of the accuracy of the forecast and scale
RA-IV-17-INF04-6(1)-GDPFS-IMPERATIVE_en.docx