The PRMS_2016_historic_future folder contains the climate by HRU files (CBH_files folder) needed to drive each of the modeled regions in southern Guam for the historic and future periods and a README_PRMS_2016_historic_future.txt document that describes the contents of this folder and how to update the previously published model files (https://doi.org/10.5066/F7HH6HV4) and run the watershed model with the historic and future datasets.

The PRMS_2016_historic_future folder contains the climate by HRU files (CBH_files folder) needed to drive each of the modeled regions in southern Guam for the historic and future periods and a README_PRMS_2016_historic_future.txt document that describes the contents of this folder and how to update the previously published model files (https://doi.org/10.5066/F7HH6HV4) and run the watershed model with the historic and future datasets.

The stream segments 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 stream segments is provided as a shapefile with attributes ParentSeg, Region, and RegionSeg identifying the numbering convention used in the PRMS_2016 southern Guam model parameter files and Rosa and Hay (2017) report. Stream segments were derived using the processing steps outlined in Viger and Leavesley (2007) describing drainage network processing and a 5-meter digital elevation map (DEM) derived by Johnson (2012) using the Joint Airborne LIDAR Bathymetry Technical Center of Expertise topobathy data (National Oceanic and Atmospheric Administration, 2007).

The National Hydrologic Model (NHM) is a modeling framework which has been applied to the continental United States through the Precipitation Runoff Modeling System (PRMS). The PRMS model of Puerto Rico extends the NHM and allows the simulation of rainfall-driven hydrologic conditions in the Commonwealth. Calibration of the NHM Puerto Rico model involved an initial manual calibration to understand the important processes and develop a basic representation of the hydrology. This is followed by an automated calibration procedure using the Let Us CAlibrate (LUCA) multi-objective function model calibration tool. A four-step procedure is used in Luca to separately calibrate parameters for solar radiation, evapotranspiration, low flows, and peak flows. The calibrated model is used for comparison with field-estimated flows and to examine coastal flows during Hurricane Maria. This USGS data release contains all of the input and output files for the simulations described in the associated journal article (https://doi.org/10.3390/hydrology9110205).

This data release contains the input files for the watershed and water-balance models that simulate historic (1990‒2009) and future (2080‒2099) climate conditions on Guam. These simulations are described in the associated Scientific Investigations Report, “Water Resources on Guam—Potential Impacts of and Adaptive Response to Climate Change" by Stephen B. Gingerich, Adam G. Johnson, Sarah N. Rosa, Mathieu D. Marineau, Scott A. Wright, Lauren E. Hay, Matthew J. Widlansky, John W. Jenson, Corinne I. Wong, Jay L. Banner, Victoria W. Keener, and Melissa L. Finucane (https://doi.org/10.3133/sir20195095). The watershed and water-balance models were previously published in “Supporting data for Fena Valley Reservoir watershed and water-balance model, southern Guam” (Rosa and Hay, 2017). Data are provided in two folders: 1) the PRMS_2016_historic_future folder contains the climate by hydrologic response unit (HRU) data files (CBH_files folder) needed to drive each of the modeled regions in southern Guam for the historic and future periods and a README_PRMS_2016_historic_future.txt document that describes the contents of this folder and how to update the previously published model files (Rosa and Hay, 2017) and run the watershed model with the historic and future datasets; and 2) the FVR_2016_historic_future folder contains the input files needed to run the Fena Valley Reservoir water-balance model for the historic and future periods and a README_FVR_2016_historic_future.txt document that describes the contents of this folder and how to execute the water-balance model (Rosa and Hay, 2017) with the historic and future input files.

This data release contains the input files for the watershed and water-balance models that simulate historic (1990‒2009) and future (2080‒2099) climate conditions on Guam. These simulations are described in the associated Scientific Investigations Report, “Water Resources on Guam—Potential Impacts of and Adaptive Response to Climate Change" by Stephen B. Gingerich, Adam G. Johnson, Sarah N. Rosa, Mathieu D. Marineau, Scott A. Wright, Lauren E. Hay, Matthew J. Widlansky, John W. Jenson, Corinne I. Wong, Jay L. Banner, Victoria W. Keener, and Melissa L. Finucane (https://doi.org/10.3133/sir20195095). The watershed and water-balance models were previously published in “Supporting data for Fena Valley Reservoir watershed and water-balance model, southern Guam” (Rosa and Hay, 2017). Data are provided in two folders: 1) the PRMS_2016_historic_future folder contains the climate by hydrologic response unit (HRU) data files (CBH_files folder) needed to drive each of the modeled regions in southern Guam for the historic and future periods and a README_PRMS_2016_historic_future.txt document that describes the contents of this folder and how to update the previously published model files (Rosa and Hay, 2017) and run the watershed model with the historic and future datasets; and 2) the FVR_2016_historic_future folder contains the input files needed to run the Fena Valley Reservoir water-balance model for the historic and future periods and a README_FVR_2016_historic_future.txt document that describes the contents of this folder and how to execute the water-balance model (Rosa and Hay, 2017) with the historic and future input files.

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 Administration, 2007). Johnson (2012) used the procedures described in Taylor and Nelson Jr. (2008) to derive the DEM and delineate internally drained areas in the karst topography, or areas with closed depressions and their surface drainage basins that contribute runoff to the closed depression. These internally drained areas were then intersected with the initial HRUs to derive the final 317 HRUs for the southern Guam watershed model, PRMS_2016.

The SWAT_Hanalei folder contains the input files needed to run the Soil & Water Assessment Tool (SWAT) model for the Hanalei watershed, the calibration data files, and a README_SWAT_Hanalei.txt document that describes the contents of this archive and how to run the model.

The SWAT_Hanalei folder contains the input files needed to run the Soil & Water Assessment Tool (SWAT) model for the Hanalei watershed, the calibration data files, and a README_SWAT_Hanalei.txt document that describes the contents of this archive and how to run the model.

This data release contains inputs for and outputs from hydrologic simulations for the Alaska (AK) domain using the Precipitation Runoff Modeling System (PRMS) version 5.2.1.1 and the USGS National Hydrologic Model infrastructure (NHM, Regan and others, 2018). Historical simulations using the Daymet Version 4 gridded estimates of daily weather parameters (Thornton and others, 2020) were produced for the period 1980–2021. These data document the PRMS climate input data files for these simulations. Input files for the simulations include the PRMS parameter file and control file. The main landing page provides additional information and data dictionaries (parameters_data_dictionary.csv and control_data_dictionary.csv) that describe the parameter and control file values. Daymet forcings include precipitation and minimum and maximum temperature at a daily time-step. Measured streamflow data are included for 196 USGS streamgage locations for 1980-2021 (U.S. Geological Survey, 2022)., and for 89 streamgage locations form the Canadian Water Survey for 1980-2021 (HYDAT, 2024). for the Alaska Domain. CONTENTS OF THIS CHILD PAGE: 1. Precip.day = daily total precipitation climate-by-hydrologic response unit (CBH) file 2. Tmax.day = maximum daily temperature CBH file 3. Tmin.day = minimum daily temperature CBH file. 4. PRMS_5.2.1.1.zip = PRMS executable version 5.2.1.1. 5. sf_data = Streamflow data. 6. Ak_precalibration.control = Precalibration model control file. 7. AK_precalibration.param = Precalibration model parameter file. 8. AK_byHRU.control = byHRU model control file 9. AK_byHRU.param = byHRU model parameter file