Skip to main content

Person

Sarah N Rosa

Hydrologist

Email: snrosa@usgs.gov
Office Phone: 808-690-9593
Fax: 808-690-9599
ORCID: 0000-0002-3653-0826
thumbnail
The hydrologic response units (HRUs) available here were used in the Precipitation Runoff Modeling System (PRMS) of southern Guam documented by Rosa and Hay (2017). A Geographic Information System (GIS) file for the HRUs is provided as a shapefile with attributes ParentHRU, Region, and RegionHRU identifying the numbering convention used in the PRMS_2016 southern Guam model parameter files and Rosa and Hay (2017) report. Hydrologic response units (HRUs) were delineating using the processing steps outlined in Viger and Leavesley (2007) and a 5-meter digital elevation model (DEM) derived by Johnson (2012) using the Joint Airborne LIDAR Bathymetry Technical Center of Expertise topobathy data (National Oceanic and Atmospheric...
thumbnail
This data release contains a comma-delimited ascii file of 15 discrete discharge measurements made at sites along selected reaches of He'eia Stream and 'Ioleka'a Stream, O'ahu, Hawai'i, on March 23, 2022. These discrete discharge measurements form what is commonly referred to as a "seepage run." The intent of the seepage run is to quantify the spatial distribution of streamflow along the reach during fair-weather, low-flow conditions, generally characterized by negligible direct runoff within the reach. The measurements can be used to characterize the net seepage of water into or out of the stream channel between measurement sites, provided that the measurements were made during stable, nonchanging flow conditions...
thumbnail
This data release contains a comma-delimited ascii file of 16 discrete discharge measurements made at sites along selected reaches of He'eia Stream and 'Ioleka'a Stream, O'ahu, Hawai'i, on August 9, 2022. These discrete discharge measurements form what is commonly referred to as a "seepage run." The intent of the seepage run is to quantify the spatial distribution of streamflow along the reach during fair-weather, low-flow conditions that are generally characterized by negligible direct runoff within the reach. The measurements can be used to characterize the net seepage of water into (water gain) or out of (water loss) the stream channel between measurement sites provided that the measurements were made during...
This data release contains four seepage runs conducted along selected reaches of South Hālawa Stream, North Hālawa Stream, and Hālawa Stream, Oʻahu, Hawaiʻi between December 2021 and June 2022. The data release has four child items that each consist of the following files: (1) a metadata xml file describing the child-item files and data attributes, (2) an annotated map showing the seepage-run measurement sites, and (3) a comma-delimited ascii data file with the discrete discharge measurements. These discrete discharge measurements form what is commonly referred to as a “seepage run.” The intent of these seepage runs was to quantify the spatial distribution of streamflow along the reach before and after the initiation...
thumbnail
This data release contains inputs and outputs needed to reproduce the findings for the publication: Rosa, S.N., and Hay, L.E., 2017, Fena Valley Reservoir watershed and water-balance model updates and expansion of watershed modeling to Southern Guam: U.S. Geological Survey Scientific Investigations Report 2017-5093, 64 p., https://doi.org/10.3133/sir20175093. Data are provided in several files: 1) the PRMS_2016 folder contains the input files needed to run each of the modeled regions in southern Guam, the calibration data files, and a README_PRMS_2016.txt document that describes the contents of this archive and the execution of the model batch files; 2) the FVR_2016 folder contains the input files needed to run...
View more...
ScienceBase brings together the best information it can find about USGS researchers and offices to show connections to publications, projects, and data. We are still working to improve this process and information is by no means complete. If you don't see everything you know is associated with you, a colleague, or your office, please be patient while we work to connect the dots. Feel free to contact sciencebase@usgs.gov.