Search Data.gov
Found 124 dataset(s) matching "fine scale modeling".
-
This study investigates particle dry deposition by characterizing critical parameters and land-use dependence in a 0-D box model as well as quantifying the resulting impact of dry deposition...
-
This dataset supports the modeling study of Seltzer et al. (2016) published in Atmospheric Environment. In this study, techniques typically used for future air quality projections are applied to a...
-
Approximately 1,900 line square kilometers of imagery were collected using a HyMap™ sensor (Cocks and others, 1998) mounted on a modified Piper Navajo aircraft. The aircraft was flown at an...
-
This data set consists of digital polygons of a constant recharge value for the alluvial and terrace deposits along the North Canadian River from Canton Lake to Lake Overholser in central...
-
This data set consists of digital polygons of a constant hydraulic conductivity value for the alluvial and terrace deposits along the North Canadian River from Canton Lake to Lake Overholser in...
-
Amazonia has been under considerable development pressure as croplands and pasture are established in areas formerly occupied by tropical forest and cerrado. Although this region is an important...
-
The U.S. Geological Survey Woods Hole Coastal and Marine Science Center collected data to assess cross-shore sediment transport prediction techniques in coastal models for a wave-dominated sandy...
-
These data depict the locations (only) of all Brook Trout Genetics study sites in the park. Great Smoky Mountains National Park (GRSM) is committed to monitoring ecological and evolutionary...
-
Chinook Salmon (Oncorhynchus tshawytscha) are an important commercial, subsistence, and recreational fishery resource in Alaska, and recent population declines have resulted in closures of some...
-
This digital dataset contains the soil data for the updated Central Valley Hydrologic Model (CVHM2). The soil data is based on California Department of Water Resource’s C2VSim’s fine grid model...
-
This data set includes: (1) fine-scale snow and land cover maps from two mountainous study sites in the Western U.S., produced using machine-learning models trained to extract land cover data from...
-
<p>Knowledge of the vertical distribution of surface residues, chemicals, or seeds following tillage operations is of paramount importance to a wide variety of soil research areas. SeedChaser is a...
-
<p><b>This is a dataset download, not a document. The Open Document button will start the download.</b></p><p>This data layer is an element of the Oregon GIS Framework. This data layer represents...
-
This dataset contains a projection of land use and land cover for the conterminous United States for the period 2001 - 2061. This projection used the USGS's LUCAS (Land Use and Carbon Scenario...
-
We used an individual-based plant simulation model that represents intra- and inter-specific competition for water availability, which is represented by a process-based soil water balance model....
-
Data collected during the Kansas City Transportation and Local-Scale Air Quality Study (KC-TRAQS). This dataset is associated with the following publication: Valencia, A., S. Arunachalam, V....
-
3D bathymetric surfaces of low- and high-relief sites from the coral reef flat off Waiakane, Molokai
3D bathymetric surfaces of low- and high-relief sites from the coral reef flat off Waiakane, Molokai, were created using structure-from-motion (SfM) techniques. The two study sites are located...
-
This digital dataset defines the thickness of the Corcoran Clay Member of the Tulare Formation. The complex hydrologic system of the Central Valley is simulated using the USGS numerical modeling...
-
This digital dataset defines the areal extent of the Corcoran Clay Member of the Tulare Formation. The complex hydrologic system of the Central Valley is simulated using the USGS numerical...
-
This digital dataset defines the depth of the Corcoran Clay Member of the Tulare Formation. The complex hydrologic system of the Central Valley is simulated using the USGS numerical modeling code...
