Search Data.gov
Found 616 dataset(s) matching "Coupled Model".
-
In this data release, we provide data to describe the water quality in Green Lake, Wisconsin, from 1905 to 2020, primarily the constituents for which it is impaired, including near-surface total...
-
In this data release, we provide data to describe the water quality in Green Lake, Wisconsin, from 1905 to 2020, primarily the constituents for which it is impaired, including near-surface total...
-
In this data release, we provide data to describe the water quality in Green Lake, Wisconsin, from 1905 to 2020, primarily the constituents for which it is impaired, including near-surface total...
-
In this data release, we provide data to describe the water quality in Green Lake, Wisconsin, from 1905 to 2020, primarily the constituents for which it is impaired, including near-surface total...
-
In this data release, we provide data to describe the water quality in Green Lake, Wisconsin, from 1905 to 2020, primarily the constituents for which it is impaired, including near-surface total...
-
Climate Distance Mapper is an interactive web mapping application designed to facilitate informed seed sourcing decisions and to aid in directing regional seed collections. Implemented as a shiny...
-
Climate Distance Mapper is an interactive web mapping application designed to facilitate informed seed sourcing decisions and to aid in directing regional seed collections. Implemented as a shiny...
-
Arlindo is an acronym for Arus Lintas Indonesia, meaning 'Indonesian throughflow' in Bahasa Indonesia. The Arlindo program is a joint oceanographic research endeavor of Indonesia and the United...
-
Future annual aridity index (AI, precipitation divided by potential evapotranspiration [PET]) was calculated from monthly temperature and precipitation data extracted from 10 General Circulation...
-
Projected flood levels associated with compound coastal flood hazards for future sea-level rise (SLR) and storm scenarios are provided for Whatcom County, Washington, in a series of raster geotiff...
-
Projections of coastal flood depths for Whatcom County, Northwest Washington State coast (2015-2100)
Projected flood depths associated with compound coastal flood hazards for future sea-level rise (SLR) and storm scenarios are provided for Whatcom County, Washington, in a series of raster geotiff...
-
Projected flood velocities associated with compound coastal flood hazards for future sea-level rise (SLR) and storm scenarios are provided for Whatcom County, Washington, in a series of raster...
-
Projected flood extents associated with compound coastal flood hazards for future sea-level rise (SLR) and storm scenarios are provided for Whatcom County, Washington, in a series of shapefile...
-
Projected flood duration associated with compound coastal flood hazards for future sea-level rise (SLR) and storm scenarios are provided for Whatcom County, Washington, in a series of raster...
-
This dataset consists of an ensemble of model projections from 1901 to 2299 for the northern hemisphere permafrost domain. The model projections include monthly average values for a common set of...
-
This file describes the dataset used in the following article: Nolte, C. G., Spero, T. L., Bowden, J. H., Sarofim, M. C., Martinich, J., Mallard, M. S., Fann, N., "Regional Temperature-Ozone...
-
This data release contains monthly 270-meter resolution Basin Characterization Model (BCMv8) climate and hydrologic variables for Localized Constructed Analog (LOCA; Pierce et al.,...
-
This data package contains 10 global subsurface ocean acidification (OA) indicators at standardized depth levels of 50, 100, and 200 meters. The indicators include fugacity of carbon dioxide, pH...
-
This data release contains monthly 270-meter resolution Basin Characterization Model (BCMv8) climate and hydrologic variables for Localized Constructed Analog (LOCA; Pierce et al.,...
-
This data release contains monthly 270-meter resolution Basin Characterization Model (BCMv8) climate and hydrologic variables for Localized Constructed Analog (LOCA; Pierce et al.,...
