Data

The U.S. Geological Survey (USGS), in cooperation with the State of Hawaii Department of Transportation, has compiled and processed a series of geospatial datasets for Hawaii to be implemented into the USGS StreamStats application (https://streamstats.usgs.gov/ss/). These geospatial datasets, along with basin characteristic datasets published as a separate USGS data release (https://doi.org/10.506

These data are preliminary or provisional and are subject to revision. They are being provided to meet the need for timely best science. The data have not received final approval by the U.S. Geological Survey (USGS) and are provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the data. Int

A three-dimensional, variable-density solute-transport model (SUTRA) was developed to evaluate the effects of three selected withdrawal/injection scenarios on salinity of groundwater (as simulated at damselfly anchialine-pool habitat) and discharge of freshwater to the nearshore environment of Kaloko-Honokohau National Historical Park (KAHO), Hawaii. A base model was constructed using water-level,

Steady-state numerical groundwater-flow models were constructed for the islands of Kaua'i, O'ahu, and Maui, Hawai'i. Separate models were created for each island using MODFLOW-2005 (Harbaugh, 2005) with the Seawater Intrusion (SWI2) package (Bakker and others, 2013), which allows simulation of freshwater and saltwater in ocean-island aquifers. The purpose of the models is to enable quantifica

These shapefiles represent the spatial distribution of mean annual water-budget components, in inches, for the Island of Maui, Hawaii for a set of eight future climate and land-cover scenarios. The future climate conditions used in the water-budget analyses were derived from two end-of-century downscaled climate projections including (1) a projected future climate condition representative of phase

This data release contains inputs and outputs needed to reproduce the Soil and Water Assessment Tool (SWAT) model findings for the publication: Fortini, L.B., Leopold, C.R., Perkins, K., Chadwick, O.A., Yelenik, S.G., Jacobi, J.D., Bishaw, K., II, Gregg, M. and Rosa, S., 2020, Local to landscape-level controls of water fluxes through Hawaiian forests: Effects of invasive animals and plants on soil

A three-dimensional, variable-density solute-transport model (SUTRA) was developed to evaluate the effects of nine selected withdrawal/recharge scenarios on salinity of groundwater and discharge of freshwater to the nearshore environment of central Molokai, Hawaii. The model was constructed using water-level and salinity data available for the period from 1940 to 2012. Groundwater recharge for the

This data release contains the shapefiles of mean annual water-budget components for Guam for historic (1990 - 2009) and future (2080 - 2099) climate conditions. Components estimated for the 1990 - 2009 scenario represent an update to the historic (1961 - 2005) components estimated by Johnson (2012), and serve as a historic baseline for the components estimated for the future (2080 - 2099) climate

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,

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 associat

This dataset describes land cover and vegetation for the island of Maui, Hawaii, circa 2017, hereinafter the 2017 land-cover map. The 2017 land-cover map is a modified version of the dataset titled "Mean annual water-budget components for the Island of Maui, Hawaii, for recent conditions, 1978-2007 rainfall and 2010 land-cover map" by Johnson (2015), hereinafter the 2010 land-cover map. Modi

The U.S. Geological Survey Pacific Islands Water Science Center and the University of Hawaii at Manoa Department of Geography, in cooperation with the U.S. Department of Interior Pacific Islands Climate Adaptation Science Center initiated a field data-collection program as part of a study to quantify the impacts of drought on water resources and the importance of cloud-water interception in mitiga