- 1 Preliminary, non-operational, but used operationally? Huh?
- 2 Peer review and R2O
- 3 Knowledge, skills, and mental representations
- 4 Keeping new datasets in step with modern organizations using R2O
- 5 Listen to the community and refine R2O
- 6 Beginning, evolving, and concluding R2O projects
- 7 Operations-driven R2O with science-integrated training
- 8 Science first, service always
- 9 Data sparse or information poor?
- 10 Assessing the importance of data
- 11 Figures
April 10, 2017
The ‘O’ in R2O is sometimes confounding. Whereas the realm of research is an expansive net for innovation, the concept of operations is more of a broadening spectrum. What constitutesRead More
December 11, 2016
Underlying transitions from research to operations are typically some critical sources of raw data or observations that can further an operational objective or priority when provided to practitioners and appliedRead More
September 6, 2016
The ideas that initiate a research to operations transition cycle need not always originate as part of the research process. Some suitable concepts for research development can and, with theRead More
August 21, 2016
In the weather enterprise, there are numerous service organizations. The services that these organizations provide vary, but generally involve analyzing, interpreting, and, in many cases, forecasting meteorological and environmental parameters.Read More
This index contains figures from previous blog posts.