Numerical Weather Predictions For Network Rtk

T. Ito, International Space University, Strasbourg Central Campus, 1 Rue Jean Dominique Cassini, Parc d'Innovation, 67400 lllkirch-Graffenstaden, France e-mail: ito@isu. isunet. edu M. J. Rycroft, CAESAR Consultancy, 35 Millington Road, Cambridge CB3 9HW, UK e-mail: Michael. J. Rycroft®ukgateway. net As Symposium Committee Chair for the 2003 International Space University (ISU) Symposium, and Editor of this Proceedings volume, respectively, we write this introduction. The success of previous ISU symposia suggests that the ISU has developed a unique and winning formula for a novel type of symposium. The characteristics of ISU symposia are that they: • Adopt a broad, and interdisciplinary, perspective • Address all aspects of the subject, ranging from policy, business, organisational, and legal issues to technical and scientific topics • Foster a constructive dialogue among very different sectors of the space community, and • Allow ample time for interactive discussions. The present Symposium is no exception. It considers the very timely topic of space-based systems for global positioning and navigation, ranging from the GPS system developed by the US military to the Russian GLONASS system, and on to the future European Galileo system. Other nations are planning regional augmentation systems.

This workshop report examines the capability of the forecast system to efficiently transfer weather and climate research findings into improved operational forecast capabilities. It looks in particular at the Environmental Modeling Center of the National Weather Service and environmental observational satellite programs. Using these examples, the report identifies several shortcomings in the capability to transition from research to operations. Successful transitions from R&D to operational implementation requires (1) understanding of the importance (and risks) of the transition, (2) development and maintenance of appropriate transition plans, (3) adequate resource provision, and (4) continuous feedback (in both directions) between the R&D and operational activities.