Frequency characteristics of soil moisture, evapotranspiration, and climatic water deficit for Oʻahu for a set of rainfall and land-cover conditions

This shapefile summarizes the frequency characteristics of soil moisture, evapotranspiration, and climatic water deficit for Oʻahu, Hawaiʻi for a set of rainfall and land-cover conditions represented in 10 water-budget scenarios. The 10 scenarios include (1) historical non-drought rainfall and 2020 land cover, (2) historical drought rainfall and 2020 land cover (3) future non-drought rainfall and 2020 land cover, (4) future drought rainfall and 2020 land cover, (5) historical drought rainfall and Conversion 1 land cover (6) future non-drought rainfall and Conversion 1 land cover, (7) a future drought rainfall and Conversion 1 land cover, (8) historical drought rainfall and Conversion 2 land cover, (9) future non-drought rainfall and Conversion 2 land cover, and (10) future drought rainfall and Conversion 2 land cover. Historical non-drought rainfall is monthly rainfall during 1990–97 and 2003–06 from Frazier and others (2016). Historical drought rainfall is monthly rainfall during 1998–2002 and 2007–12 from Frazier and others (2016). Future non-drought rainfall is monthly rainfall during 1990–97 and 2003–06 from Frazier and others (2016) adjusted for a Representative Concentration Pathway 8.5 2071–99 (RCP8.5 2071–99) projection from Elison Timm and others (2015). Future drought rainfall is monthly rainfall during 1998–2002 and 2007–12 from Frazier and others (2016) adjusted for a RCP8.5 2071–99 projection from Elison Timm and others (2015). Monthly rainfall for historical and future non-drought conditions was disaggregated into daily values using daily rainfall during 1990–97 and 2003–06 from Longman and others (2019). Monthly rainfall for historical and future drought conditions was disaggregated into daily values using daily rainfall during 1998–2002 and 2007–12 from Longman and others (2019). A 2020 land-cover map developed by Kāne and others (2024a, 2024b) was used to define the land-cover conditions around 2020 and the model subareas. Conversion 1 land cover is a hypothetical land-cover condition in which roughly 50 percent of forest and shrubland areas within the cloud zone are converted to grassland. Conversion 2 land cover is a hypothetical land-cover condition in which 100 percent of forest and shrubland areas within the cloud zone are converted to grassland. Monthly time series estimates of soil moisture, evapotranspiration, and climatic water deficit for each model subarea were computed for each scenario using a water-budget model developed by Oki (2022). Monthly time series estimates of soil moisture, evapotranspiration, and climatic water deficit were used to compute the relative frequency for each model subarea for selected moisture-stress levels, where relative frequency describes the decimal fraction of months that soil moisture or evapotranspiration is less than or equal to (or climatic water deficit is greater than or equal to) the selected moisture-stress levels. A value of 0.074 was selected as the moisture-stress level for monthly mean soil moisture, expressed as a fraction of available water capacity. A value of 0.96 inches was selected as the moisture-stress level for monthly evapotranspiration. Climatic water deficit is defined as the evaporative demand that exceeds available water and is calculated as the difference between potential evapotranspiration and evapotranspiration. A value of 0.77 was selected for monthly climatic water deficit, expressed as a fraction of potential evapotranspiration. The shapefile attribute information associated with each subarea present an estimate of the relative frequency of soil moisture, evapotranspiration, and climatic water deficit for each drought scenario, and select geographic and land-cover attributes. Brief descriptions of the relative frequencies and other attributes are included in this metadata file. Refer to Mair and others (2024) for further details of the methods and sources used to select the moisture-stress levels and determine the relative frequencies of soil moisture, evapotranspiration, and climatic water deficit, and characterize the other attributes.

Data and Resources

Field Value
accessLevel public
bureauCode {010:12}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_@id https://ddi.doi.gov/usgs-data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier http://datainventory.doi.gov/id/dataset/usgs-64890611d34ef77fcafe448a
metadata_type geospatial
modified 2024-05-23T00:00:00Z
old-spatial -158.2823, 21.2575, -157.6449, 21.7100
publisher U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash be423dcc4ac280a1255c67bdc9568a5835d324d247ac6faaff3298527c0a77d6
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-158.2823, 21.2575], [-158.2823, 21.7100], [ -157.6449, 21.7100], [ -157.6449, 21.2575], [-158.2823, 21.2575]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • climatic-water-deficit
  • cloud-water-interception
  • droughts
  • effects-of-climate-change
  • evaporation
  • fires
  • land-use-and-land-cover
  • oahu
  • pacific-islands
  • soil-moisture
  • state-of-hawaii
  • transpiration
  • usgs-64890611d34ef77fcafe448a
  • water-budget
  • water-budget-model
  • water-cycle
isopen False
license_id notspecified
license_title License not specified
maintainer Alan Mair
maintainer_email dmair@usgs.gov
metadata_created 2025-09-24T17:02:21.956528
metadata_modified 2025-09-24T17:02:21.956538
notes This shapefile summarizes the frequency characteristics of soil moisture, evapotranspiration, and climatic water deficit for Oʻahu, Hawaiʻi for a set of rainfall and land-cover conditions represented in 10 water-budget scenarios. The 10 scenarios include (1) historical non-drought rainfall and 2020 land cover, (2) historical drought rainfall and 2020 land cover (3) future non-drought rainfall and 2020 land cover, (4) future drought rainfall and 2020 land cover, (5) historical drought rainfall and Conversion 1 land cover (6) future non-drought rainfall and Conversion 1 land cover, (7) a future drought rainfall and Conversion 1 land cover, (8) historical drought rainfall and Conversion 2 land cover, (9) future non-drought rainfall and Conversion 2 land cover, and (10) future drought rainfall and Conversion 2 land cover. Historical non-drought rainfall is monthly rainfall during 1990–97 and 2003–06 from Frazier and others (2016). Historical drought rainfall is monthly rainfall during 1998–2002 and 2007–12 from Frazier and others (2016). Future non-drought rainfall is monthly rainfall during 1990–97 and 2003–06 from Frazier and others (2016) adjusted for a Representative Concentration Pathway 8.5 2071–99 (RCP8.5 2071–99) projection from Elison Timm and others (2015). Future drought rainfall is monthly rainfall during 1998–2002 and 2007–12 from Frazier and others (2016) adjusted for a RCP8.5 2071–99 projection from Elison Timm and others (2015). Monthly rainfall for historical and future non-drought conditions was disaggregated into daily values using daily rainfall during 1990–97 and 2003–06 from Longman and others (2019). Monthly rainfall for historical and future drought conditions was disaggregated into daily values using daily rainfall during 1998–2002 and 2007–12 from Longman and others (2019). A 2020 land-cover map developed by Kāne and others (2024a, 2024b) was used to define the land-cover conditions around 2020 and the model subareas. Conversion 1 land cover is a hypothetical land-cover condition in which roughly 50 percent of forest and shrubland areas within the cloud zone are converted to grassland. Conversion 2 land cover is a hypothetical land-cover condition in which 100 percent of forest and shrubland areas within the cloud zone are converted to grassland. Monthly time series estimates of soil moisture, evapotranspiration, and climatic water deficit for each model subarea were computed for each scenario using a water-budget model developed by Oki (2022). Monthly time series estimates of soil moisture, evapotranspiration, and climatic water deficit were used to compute the relative frequency for each model subarea for selected moisture-stress levels, where relative frequency describes the decimal fraction of months that soil moisture or evapotranspiration is less than or equal to (or climatic water deficit is greater than or equal to) the selected moisture-stress levels. A value of 0.074 was selected as the moisture-stress level for monthly mean soil moisture, expressed as a fraction of available water capacity. A value of 0.96 inches was selected as the moisture-stress level for monthly evapotranspiration. Climatic water deficit is defined as the evaporative demand that exceeds available water and is calculated as the difference between potential evapotranspiration and evapotranspiration. A value of 0.77 was selected for monthly climatic water deficit, expressed as a fraction of potential evapotranspiration. The shapefile attribute information associated with each subarea present an estimate of the relative frequency of soil moisture, evapotranspiration, and climatic water deficit for each drought scenario, and select geographic and land-cover attributes. Brief descriptions of the relative frequencies and other attributes are included in this metadata file. Refer to Mair and others (2024) for further details of the methods and sources used to select the moisture-stress levels and determine the relative frequencies of soil moisture, evapotranspiration, and climatic water deficit, and characterize the other attributes.
num_resources 2
num_tags 24
title Frequency characteristics of soil moisture, evapotranspiration, and climatic water deficit for Oʻahu for a set of rainfall and land-cover conditions