Opportunity Information: Apply for BOR DO 17 N013
This grant opportunity, issued by the U.S. Department of the Interior, Bureau of Reclamation, supports the development of a web-based version of the RainyDay Stochastic Storm Transposition (SST) toolkit to improve physically based rainfall and flood hazard estimation. The central problem it targets is that precipitation varies dramatically across space and time, which means real-world floods can range from minor to catastrophic even within the same watershed, and only a small slice of those possible outcomes is represented in the historical record. Because observed rainfall records are often short, especially at the local scales used for engineering and flood studies, traditional methods can struggle to characterize extreme events and their probabilities, leading to major uncertainty in flood hazard estimates used for water management, infrastructure planning, and public safety.
The technical foundation of the project is RainyDay, a software package created by the University of Wisconsin-Madison in collaboration with NASA. RainyDay applies the SST approach, which takes realistic storm patterns from available data and systematically repositions and recombines them over a basin or region to generate many plausible extreme rainfall scenarios. From these scenarios, users can derive rainfall intensity-duration-frequency (IDF) curves and create large ensembles of extreme rainfall inputs suitable for hydrologic simulation. A key point emphasized in the opportunity is that SST can produce credible IDF and flood estimates for long return periods (at least on the order of 1,000 years) even when the input rainfall record is as short as about 10 years, which is particularly valuable in data-limited locations.
The opportunity also highlights an important data expansion that strengthens the method: a new 33-year, 100-member ensemble rainfall dataset. This larger ensemble is intended to allow simulation of much rarer storms than would be supported by short observational records alone, and to improve quantification of uncertainty. In practice, that means users can explore not just a single “design storm,” but a distribution of physically plausible extremes, helping analysts estimate both expected flood hazards and the confidence bounds around those estimates. The grant description underscores that RainyDay-generated rainfall scenarios can be coupled with hydrologic models to translate extreme rainfall into streamflow and flood metrics, producing more robust flood hazard assessments for planning and risk management.
A major deliverable is accessibility: moving RainyDay into a web-based toolkit so that water managers and the public can use it directly without needing specialized local installations or deep software setup expertise. The intent is essentially to operationalize advanced research-grade capability into a user-facing platform that can broaden adoption and standardize application, making it easier for agencies and practitioners to generate IDF information, test sensitivity to storm placement and structure, and run scenario-based flood hazard analyses.
Administratively, this posting is a Notice of Intent to Award specifically naming the University of Wisconsin-Madison, reflecting that the agency views UWM as uniquely qualified due to its direct experience developing and maintaining RainyDay. The funding instrument is a cooperative agreement, which typically implies substantial involvement by the agency during the project, such as coordination on scope, deliverables, or technical direction. The opportunity is categorized under discretionary funding for science and technology research and development, with CFDA number 15.560. The expected number of awards is one, with an award ceiling of $55,000. The posting was created January 31, 2017, with an original closing date of February 14, 2017, consistent with the limited-competition nature of an intent-to-award announcement rather than an open solicitation.Apply for BOR DO 17 N013
- The Department of the Interior, Bureau of Reclamation in the science and technology and other research and development sector is offering a public funding opportunity titled "Development of a Web-based Stochastic Storm Transposition Toolkit for Physically-based Rainfall and Flood Hazard" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.560.
- This funding opportunity was created on Jan 31, 2017.
- Applicants must submit their applications by Feb 14, 2017. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $55,000.00 in funding.
- The number of recipients for this funding is limited to 1 candidate(s).
- Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification).
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