Effective Transfer of Science to Operations in Hydrometeorology Considering Uncertainty
Round 1
Reviewer 1 Report
Dr. Konstantine P. Georgakako,
In your manuscript, a great point is brought up that how flow of uncertainty from data and models to information for stakeholders, other end users can be deceptive based on applicability at different temporal and spatial scales. The manuscript elucidates the need, cause, effect, and approaches to combat the problem with the examples on Panama Canal Watershed and Flash Flood Guidance System (two ends of the spectrum), which makes the reading even more insightful, and quite a learning experience relating the problem with what's happening on the ground. That being said, I think the manuscript would add a lot of value to the discipline of hydrological sciences.
Author Response
Thank you for your review.
Author Response File: 
Author Response.docx
Reviewer 2 Report
hydrology-1649793-peer-review-v1
Title
The Title reflects the paper’s content accurately.
Abstract
The Abstract determines the paper’s content and objectives in a very manifest and complete fashion.
- Introduction
The Introduction is both adequate and highly informative.
- Elements of Effective Research-to-Operations Pathways
- In Figure 2, the set comprised of Physics of Process Interaction and Dynamics of Flow might benefit from a shift from stochastic equations to stochastic processes as seen in Hydrodynamics [1] while bearing in mind vertical Brownian motion, where rain might play a role, was examined in 1915 [2]. And quite frankly, progress since your exceptional paper [3] (eqs 71,72) is rather marginal.
- Uncertainties may yield interesting results if they are considered within an advanced formal physical-mathematical framework revealing interdependencies.
- The process described in the Figure 2 cycle can be viewed as being connected by a hybrid form of a reality gap [4][5] which leads to a correction method [6] as seen in the diagram attached as a file
where the correction cycle is based on the Lewin model [7][8] [9] of unfreezing, changing and refreezing.
- Examples of Transferring Research Output and Associated Uncertainty to Operations for Effective Decision Support
Quite exhaustive and to the point.
- Conclusion
Precise and firmly based on the previous sections.
References
[1] Cruzeiro, A. B., “Stochastic approaches to deterministic fluid dynamics: A selective review,” Water (Switzerland), vol. 12, no. 3, p. 20, 2020, doi: 10.3390/w12030864.
[2] Schrödinger, E., “Zur Theorie der Fall- und Steigversuche an Teilchen mit Brownscher Bewegung,” Phys. Zeitschrift, vol. 16, pp. 289–295, 1915.
[3] Georgakakos, K. P., “A Hydrologically Useful Station Precipitation Model 1. Formulation,” Water Resour. Res., vol. 20, no. 11, pp. 1585–1596, 1984, doi: 10.1029/WR022i013p02096.
[4] Heeks, R., “Information systems and developing countries: Failure, success, and local improvisations,” Inf. Soc., vol. 18, no. 2, pp. 101–112, 2002, doi: 10.1080/01972240290075039.
[5] Heeks, R., “Most eGovernment-for-Development Projects Fail: How Can Risks be Reduced?,” Manchester, U.K., 14, 2003.
[6] Zisopoulou, K., D. Zisopoulos, and D. Panagoulia, “Water Economics : An In-Depth Analysis of the Connection of Blue Water with Some Primary Level Aspects of Economic Theory I,” Water (Switzerland), vol. 14, 2022, doi: https://doi.org/10.3390/w14010103.
[7] Lewin, K., “The research center for group dynamics at Massachusetts Institute ofTechnology,” Sociometry, vol. 8, pp. 126–136, 1945.
[8] Lewin, K., “Frontiers in group dynamics: I. Concept, method and reality in social sciences; social equilibria and social change,” Hum. Relations, vol. 1, pp. 5–41, 1947.
[9] Sarayreh, B., H. Khudair, and E. A. Barakat, “Comparative Study: The Kurt Lewin of Change Management,” Ijcit.Com, vol. 02, no. 04, pp. 4–7, 2013, [Online]. Available: http://ijcit.com/archives/volume2/issue4/Paper020413.pdf
Author Response
Thank you for your review.
Author Response File: Author Response.docx
