R2OResearch to Operations
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The collocation of these agencies inherently supports an R2O framework, and it helps to break down barriers otherwise present in collaborations over physical distance.
Ultimately, these objectives center on the instructors' attempts to merge theoretical and practical realms of students' education, serving as a motivator for R2O in the academic setting, which is intended to encourage students to embrace education in a more experiential manner.
Furthermore, this approach links students to professionals actively engaged in the R2O process while allowing students to learn directly from the meteorologists who developed research comprising their curriculum for a variety of topics.
This is an example of feedback that specifically demonstrates this class as serving as an incubator for R2O.
K., and Coauthors, 2016: Mesoscale Model Evaluation Testbed (MMET): A resource for transitioning NWP innovations from research to operations (R2O).
"That's why the R2O project is so important - it gives community organisations a voice they wouldn't necessarily have had.
NUOPC created the CMA committee in 2008 to develop a common architecture to accelerate transition of R2O and to encourage use of operational codes in research.
A robust research-to-operations (R2O) environment, by which research and development results are transitioned to operational environments, is recognized to be an important component of the long-term sustainability, enhancement, relevance, and competitiveness of National Oceanic and Atmospheric Administration (NOAA)'s operational numerical modeling systems.
2015) pointed out this O2R shortcoming in the overall R2O approach in the research community at large.
The goal of this article is to highlight the lessons learned from this experience and to introduce, describe, and highlight the benefits of adding the O2R component to any R2O initiative.
After many iterations over the last several years, it became clear that the O2R environment, in order to be effective to researchers and to achieve the maximum R2O potential, should consist of the following components.
A successful R2O process, a key element for NOAA to accelerate and improve the use of research and operational satellite data in weather, ocean, climate, and environmental analysis and prediction systems, requires a research-friendly environment that is functionally equivalent to the operational environment (i.e., an O2R system).