US Migrating
type: Agent

Original Metadata
type: Distribution
access URL: https://data.usgs.gov/datacatalog/metadata/USGS.d38c9b33-6520-48bf-bd95-31c6eefad217.xml
media type: text/xml
description: The metadata original format
format: XML
issued: 2022-08-05T19:56:54.723539
modified: 2025-11-22T19:47:51.312468

Digital Data
type: Distribution
access URL: https://doi.org/10.5066/F7CV4FVR
media type: application/http
description: Landing page for access to the data
format: XML
issued: 2022-08-05T19:56:54.723545
modified: 2025-11-22T19:47:51.312985

MODFLOW datasets for simulations of groundwater flow with downscaled global climate model data for the Suwannee River Basin, Florida
type: Dataset
contact point: Organization
  fn: Eric D. Swain
keyword: river-system
keyword: ckan
keyword: groundwater
keyword: inlandwaters
keyword: climate-model
keyword: florida
keyword: amerigeo
keyword: national
keyword: usgsgroundwatermodel
keyword: geoscientificinformation
keyword: amerigeoss
keyword: geoss
keyword: downscaling
keyword: north-america
keyword: modflow
keyword: groundwater-model
keyword: geo
keyword: environment
keyword: floridan-aquifer
keyword: suwannee-river
keyword: united-states
theme: {geospatial}
description: A previously-developed groundwater model of the Suwannee River Basin was modified and calibrated to represent transient conditions. A simulation of recent conditions was developed for the 372-month period 1970-2000, and was compared with a simulation of future conditions for a similar-length period 2039-2069, which uses downscaled GCM (Global Climate Model) data. The MODFLOW groundwater-simulation code was used in both of these simulations, and two different MODFLOW boundary condition “packages” (River and Streamflow Routing Packages) were used to represent interactions between surface-water and groundwater features. The parameters for the simulation of future conditions were developed from dynamically downscaled precipitation and evapotranspiration data generated by the Community Climate System Model.
issued: 2025-11-22T19:47:51.326799
modified: 20201117
spatial: Location