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.

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 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.

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).

This data release provides a set of Hydrological Simulation Program--Fortran (HSPF) model files representing 5 EPA-selected future climate change scenarios for the Upper Charles River Basin in Massachusetts. Output from these models are intended for use as input to EPA Watershed Management Optimization Support Tool (WMOST) modeling. Climate scenarios, based on 2036-2065 changes from 1975-2004 for Representative Concentration Pathways (RCP) 4.5 and 8.5, model the effects of air temperature and precipitation changes (in degrees F for air temperature, in percent for precipitation) made to the input historical meteorological time series for 1975-2004. Meteorological data are from Boston Airport (Boston, MA), T.F. Green Airport (Providence, RI), and Worcester Regional Airport (Worcester, MA). Each set of climate scenario model files are derived from the original calibrated model files created by the Charles River Watershed Association to develop Total Maximum Daily Loads (TMDLs) for nutrients, and modified by USGS to support WMOST modeling (refer to Source Input fields in this metadata file).

A previously published three-dimensional, groundwater model (SUTRA) (http://doi.org/10.3133/sir20135216) was used to evaluate the effects of future climate and withdrawal on the freshwater lens of Guam. The model was run using 2080 to 2099 estimated recharge and sea-level rise. This USGS data release contains all of the input and output files for the simulations described in the associated report "Water resources on Guam—Potential impacts of and adaptive response to climate change: U.S. Geological Survey Scientific Investigations Report 2019-5095" by Gingerich, S.B., Johnson, A.G., Rosa, S.N., Marineau, M.D., Wright, S.A., Hay, L.E., Widlansky, M.J., Jenson, J.W., Wong, C.I., Banner, J.L., Keener, V.W., and Finucane, M.L.(https://doi.org/10.3133/sir20195095). This data release also includes SUTRA source code.

The continental United States (CONUS) was modeled to produce simulations of historical and potential future streamflow using the Precipitation-Runoff Modeling System (PRMS) application of the USGS National Hydrologic Model infrastructure (NHM; Regan and others, 2018). This child page specifically contains atmospheric forcings (daily minimum air temperature, daily maximum air temperature, and daily precipitation accumulation) from each of the global circulation models (GCMs) presented in table1_GCMs_used.csv, for simulating historical streamflow for the period 1950 - 2005.

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.