Opportunity Information: Apply for NPS DOIP15AC01065
Apply for NPS DOIP15AC01065
- The National Park Service in the environment sector is offering a public funding opportunity titled "High resolution hydrologic modeling of Glacier Bay National Park" and is now available to receive applicants.
- This funding opportunity was created on Aug 28, 2015 and posted on Aug 28, 2015.
- Applicants must submit their applications by Sep 30, 2015. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $41,702.00 to eligible and selected applicants.
- Each selected applicant is eligible to receive up to $100,000.00 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).
- This award is for the CESU H8W07110001 recipient Oregon State University.
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Opportunity Summary:
The High resolution hydrologic modeling of Glacier Bay National Park grant opportunity (Funding Opportunity Number NPS DOIP15AC01065) is a National Park Service discretionary cooperative agreement focused on building a detailed, process-based picture of freshwater runoff across Glacier Bay National Park and Preserve (GBNPP). The central idea is that freshwater inputs from rain, snowmelt, and glacier ice melt strongly shape Glacier Bay's ocean conditions, including salinity, temperature, and density, which in turn influence circulation patterns, how long water remains in different parts of the bay, and a wide range of ecological processes. Because streamflow monitoring in Alaska and within GBNPP is limited, the park cannot reliably close its hydrologic budget using field measurements alone. This project addresses that gap by developing a high-resolution hydrologic model capable of estimating runoff across the entire watershed and delivering those runoff estimates to the coastline where they directly affect the bay.
The project to be awarded is a joint effort between Glacier Bay (NPS) and Oregon State University (OSU) to develop a physical, process-based hydrologic model that explicitly represents snow accumulation and melt, glacier/ice melt, and the routing of water through the landscape to coastal discharge points. The model is designed to be highly resolved both in space and time, operating on a 100 to 500 meter spatial grid with a daily time step. That resolution is intended to support comparisons within and among seasons and years and to capture the hydrologic response to individual rainfall events. A key emphasis is that runoff estimates depend heavily on the weather and precipitation inputs used to drive the model, so the project will run the model using three separate, widely used gridded weather products: NARR (North American Regional Reanalysis), MERRA (Modern Era Retrospective Analysis for Research and Applications), and PRISM (Parameter-elevation Relationships on Independent Slopes Model). Comparing results across these three forcings is meant to quantify uncertainty in runoff that stems from uncertainty in meteorological inputs.
In terms of concrete deliverables, the project will produce a 30-year hindcast dataset of runoff/streamflow for the full GBNPP watershed at daily resolution, distributed on the 100 to 500 meter grid. These outputs will be packaged in netCDF format, a common, machine-independent standard widely used for gridded environmental and climate datasets, making the results easier for scientists and resource managers to use. In addition to full-watershed products, the project will generate derived files that extract runoff only at coastline grid cells, which is especially valuable for feeding freshwater discharge directly into oceanographic circulation models of Glacier Bay. The model will be calibrated and validated as data allow, including comparison against available field observations and physical oceanographic data collected by park staff, with the goal of ensuring the runoff estimates are credible and usable for management and research.
The cooperative nature of the agreement is reflected in shared objectives and hands-on participation by both OSU and NPS. OSU, as the recipient, will carry out the modeling work and associated products: appointing David F. Hill, Ph.D. as Principal Investigator, assigning a graduate student, coordinating model development discussions with NPS, building the hydrologic model for GBNPP, performing calibration and validation with publicly available data where possible, and conducting the full 30-year daily simulations for each of the three weather products. OSU will also be responsible for producing accessible netCDF datasets, quantifying variability among the weather-forcing scenarios, presenting interim results to park staff via videoconference for feedback, and delivering final presentations and training so NPS staff can understand and use the outputs. The recipient is also expected to produce formal written products, including at minimum a peer-reviewed final report in the NPS Natural Resource Technical Series format and potentially a manuscript suitable for submission to a scientific journal, with appropriate acknowledgments of NPS support and the Pacific Northwest Cooperative Ecosystem Studies Unit (PNW CESU) framework.
Outreach and communication are built into the scope rather than treated as optional extras. The project will create interpretive and public-facing materials, including informative images and animations that illustrate snowfall patterns, ice melt, and runoff behavior across the park and over time (for example, at a single time step, across a year, or across the full model period). These visual products will be developed with input from park management and interpretation staff so they can be used effectively for education and visitor engagement. Results will be presented not only to park staff but also to visitors and other interested members of the public, reflecting the goal of improving both scientific understanding and public literacy about how climate and hydrology interact in Glacier Bay.
National Park Service involvement is explicitly described as substantial and necessary to accomplish the project. Substantial involvement on the part of the National Park Service is anticipated for the successful completion of the objectives to be funded by this award. In particular, the National Park Service will be responsible for the following: providing financial assistance to OSU according to the agreement budget; assigning Scott Gende as the Agreement Technical Representative (ATR) and Lisa Etherington as Project Manager; supplying digital elevation model (DEM) data to serve as a foundational input for model development; participating in model development coordination calls on data inputs and formatting; working collaboratively with OSU to review progress and adjust goals as needed; identifying which interpretive products are most useful for park outreach; reviewing and providing feedback on draft reports and products within one month; and ensuring compliance with regional quality control requirements for scientific and scholarly products, with the ATR serving as the administrative reviewer. NPS will also ensure appropriate acknowledgment of OSU and the PNW CESU in resulting reports and publications.
Administratively, the opportunity was posted August 28, 2015, with a closing date of September 30, 2015, and an archived date of October 30, 2015. The expected number of awards is one, with no cost sharing or matching requirement. The estimated total funding is $41,702, with an award ceiling listed as $100,000 and a floor of $0. Eligibility is limited to the CESU recipient Oregon State University under CESU H8W07110001, consistent with the cooperative agreement structure and the specialized joint-development nature of the work. The overall result is intended to be a high-resolution, long-term runoff dataset and companion visualization products that can immediately support Glacier Bay research, management decisions, and downstream oceanographic modeling of how freshwater shapes the bay's physical and ecological systems.
Frequently Asked Questions (FAQs)
What is the title of this grant opportunity?
The opportunity is titled "High resolution hydrologic modeling of Glacier Bay National Park."
What is the Funding Opportunity Number (FON)?
The Funding Opportunity Number is NPS DOIP15AC01065.
Which agency is offering this opportunity?
The opportunity is offered by the National Park Service (NPS).
What type of award is this?
This is a discretionary cooperative agreement. It is structured as a collaborative effort with substantial NPS involvement described as necessary to complete the work.
What is the main purpose of the project?
The project aims to build a detailed, process-based picture of freshwater runoff across Glacier Bay National Park and Preserve (GBNPP) by developing a high-resolution hydrologic model that can estimate runoff across the entire watershed and deliver those estimates to coastal discharge points.
Why is hydrologic modeling needed for Glacier Bay?
Freshwater inputs from rain, snowmelt, and glacier ice melt strongly shape Glacier Bay's ocean conditions (such as salinity, temperature, and density), which influence circulation patterns, water residence times, and many ecological processes. Because streamflow monitoring in Alaska and within GBNPP is limited, the park cannot reliably close its hydrologic budget using field measurements alone, so modeling is used to address that gap.
What area does the model cover?
The model is intended to cover the full Glacier Bay National Park and Preserve (GBNPP) watershed and provide runoff estimates delivered to the coastline where they affect the bay.
Who are the main partners on the project?
The work is described as a joint effort between Glacier Bay (NPS) and Oregon State University (OSU).
Who is the recipient expected to be under this cooperative agreement?
Eligibility is limited to the CESU recipient Oregon State University (OSU) under CESU H8W07110001.
Who is listed as the Principal Investigator (PI)?
David F. Hill, Ph.D. is identified as the Principal Investigator.
What kind of hydrologic model will be developed?
The project will develop a physical, process-based hydrologic model that explicitly represents snow accumulation and melt, glacier/ice melt, and the routing of water through the landscape to coastal discharge points.
What spatial resolution will the model use?
The model is designed to operate on a 100 to 500 meter spatial grid.
What temporal resolution will the model use?
The model is designed to run at a daily time step.
Why does the opportunity emphasize high spatial and temporal resolution?
The stated goal of the resolution is to support comparisons within and among seasons and years and to capture hydrologic responses to individual rainfall events.
What meteorological inputs will be used to drive the model?
The model will be run using three separate gridded weather products: NARR (North American Regional Reanalysis), MERRA (Modern Era Retrospective Analysis for Research and Applications), and PRISM (Parameter-elevation Relationships on Independent Slopes Model).
Why are three different weather products being used?
Runoff estimates depend heavily on the weather and precipitation inputs used to drive the model. Running the model with NARR, MERRA, and PRISM is intended to quantify uncertainty in runoff that stems from uncertainty in meteorological inputs by comparing results across the three forcings.
What is the primary dataset deliverable?
The project will produce a 30-year hindcast dataset of runoff/streamflow for the full GBNPP watershed at daily resolution, distributed on the 100 to 500 meter grid.
What does "hindcast" mean in this context?
Based on the description provided, the term refers to a model-generated historical dataset covering a 30-year period, produced by running the hydrologic model over past conditions using the selected gridded weather products.
In what file format will the model outputs be delivered?
Outputs will be packaged in netCDF format, described as a common, machine-independent standard widely used for gridded environmental and climate datasets.
Will there be products specifically designed for oceanographic modeling?
Yes. In addition to full-watershed products, the project will generate derived files that extract runoff only at coastline grid cells, which is described as especially valuable for feeding freshwater discharge directly into oceanographic circulation models of Glacier Bay.
How will the model be calibrated and validated?
The model will be calibrated and validated as data allow, including comparisons against available field observations and physical oceanographic data collected by park staff, with the goal of ensuring the runoff estimates are credible and usable for management and research.
What work is OSU expected to perform under the cooperative agreement?
OSU is expected to carry out the modeling work and associated products, including appointing the PI, assigning a graduate student, coordinating model development discussions with NPS, building the hydrologic model for GBNPP, performing calibration and validation with publicly available data where possible, and conducting the full 30-year daily simulations for each of the three weather products.
What responsibilities related to data packaging and usability are included?
OSU is expected to produce accessible netCDF datasets, quantify variability among the weather-forcing scenarios, present interim results to park staff via videoconference for feedback, and deliver final presentations and training so NPS staff can understand and use the outputs.
What written reports or publications are expected?
At minimum, the recipient is expected to produce a peer-reviewed final report in the NPS Natural Resource Technical Series format. The opportunity also notes the potential for a manuscript suitable for submission to a scientific journal, with appropriate acknowledgments of NPS support and the Pacific Northwest Cooperative Ecosystem Studies Unit (PNW CESU) framework.
Are outreach and public-facing products part of the scope?
Yes. Outreach and communication are built into the scope. The project will create interpretive and public-facing materials, including informative images and animations illustrating snowfall patterns, ice melt, and runoff behavior across the park and over time.
How will the interpretive and public-facing materials be developed?
The visual products are intended to be developed with input from park management and interpretation staff to support education and visitor engagement.
Who will the results be presented to?
Results will be presented to park staff and also to visitors and other interested members of the public.
What roles will the National Park Service play during the project?
NPS involvement is described as substantial. NPS will provide financial assistance according to the agreement budget, assign key staff roles, provide DEM data as a foundational model input, participate in coordination calls on data inputs and formatting, collaborate on reviewing progress and adjusting goals as needed, identify which interpretive products are most useful, review and provide feedback on draft products within one month, and ensure compliance with regional quality control requirements for scientific and scholarly products.
Who are the NPS points of contact named in the opportunity?
Scott Gende is identified as the Agreement Technical Representative (ATR), and Lisa Etherington is identified as the Project Manager.
What is the DEM and why is it mentioned?
DEM refers to digital elevation model data. It is mentioned because NPS will supply DEM data as a foundational input for model development.
How quickly will NPS review draft reports and products?
NPS is expected to review and provide feedback on draft reports and products within one month.
How many awards are expected?
The expected number of awards is one.
Is cost sharing or matching required?
No cost sharing or matching requirement is listed.
What is the estimated total funding amount?
The estimated total funding is $41,702.
What are the stated award ceiling and floor?
The award ceiling is listed as $100,000 and the floor is $0.
When was the opportunity posted, and what were the closing and archived dates?
The opportunity was posted on August 28, 2015. The closing date was September 30, 2015, and the archived date was October 30, 2015.
What is the intended end use of the final products?
The overall result is intended to be a high-resolution, long-term runoff dataset and companion visualization products that can immediately support Glacier Bay research, management decisions, and downstream oceanographic modeling of how freshwater shapes the bay's physical and ecological systems.
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