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Mean annual water-budget components for the Island of Hawaiʻi, Hawaiʻi, for a 2020 land-cover and a set of four climate scenarios, Part 2

Metadata Updated: July 20, 2024

This shapefile represents the spatial distribution of mean annual water-budget components, in inches, for the eastern half (Part 2) of the Island of Hawaiʻi, Hawaiʻi for a 2020 land-cover and a set of four climate scenarios. The four climate scenarios used in the water-budget analyses include a reference climate scenario representative of recent conditions during 1978–2007, hereinafter the 1978–2007 scenario, and three downscaled future-climate projections. The three future-climate projections include (1) a mid-century scenario using projected rainfall conditions representative of phase 5 of the Coupled Model Intercomparison Project (CMIP5) Representative Concentration Pathway 8.5 (RCP8.5) 2041-71 scenario climate described in Elison Timm and others (2015), hereinafter the SD RCP8.5 2041-71 scenario, (2) a dry-climate scenario using projected rainfall conditions representative of the CMIP5 RCP8.5 2071-99 scenario climate described in Elison Timm and others (2015), hereinafter the SD RCP8.5 2071-99 scenario, and (3) ) a wet-climate scenario using a dynamical downscaling approach by configuring a regional climate model for the western North Pacific and southwest Pacific region, including the Hawaiian Islands described in Zhang and Wang (2017), hereinafter the Hawaiʻi Regional Climate Model version 2 (HRCM2) RCP4.5 2080-99. The water-budget components for each model subarea were computed for each climate scenario using a water-budget model developed by Oki (2022). A set of land-cover classes representative of conditions around 2020 was developed for this study to define the land-cover conditions for each model subarea (or polygon). The shapefile attribute information associated with each subarea present the land-cover class and an estimate of mean annual rainfall, fog interception, irrigation, septic-system leachate, seepage from reservoirs and cesspools, runoff, canopy evaporation, total evapotranspiration, and groundwater recharge. This shapefile also includes select geographic and land-cover attributes of the model subareas. Brief descriptions of the water-budget components and attributes are included in this metadata file. Refer to Kāne and others (2024) for further details of the methods and sources used to determine these components and attributes.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date July 20, 2024
Metadata Updated Date July 20, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date July 20, 2024
Metadata Updated Date July 20, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/fa9ddc31d6c1946b47f4c7f628971da4
Identifier USGS:66047fb1d34e64ff15491ef6
Data Last Modified 20240522
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id ca6712a7-7842-4293-991b-02c7c521850a
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -155.756937214,18.910159604,-154.800362235,20.137807477
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 75e3162e9dd8d391236aaf42f354c4d225eee591bc663090039411ac1722528f
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -155.756937214, 18.910159604, -155.756937214, 20.137807477, -154.800362235, 20.137807477, -154.800362235, 18.910159604, -155.756937214, 18.910159604}

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