Filters: Tags: mathematical modeling (X)
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This data contains geographic extents of projected coastal flooding, low-lying vulnerable areas, and maximum/minimum flood potential (flood uncertainty) associated with the sea-level rise (SLR) and storm condition indicated. The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate bridge. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Beaches,
CMHRP,
Central California,
Central California Coast,
Climate change,
This data contains maximum model-derived ocean currents (in meters per second) for the sea-level rise (SLR) and storm condition indicated. The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate bridge. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions)...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Beaches,
CMHRP,
Central California,
Central California Coast,
Climate change,
This data contains model-derived total water levels (in meters) for the sea-level rise (SLR) and storm condition indicated. The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate bridge. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions) and simulated...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Beaches,
CMHRP,
Central California,
Central California Coast,
Climate change,
This data contains maximum model-derived significant wave height (in meters) for the sea-level rise (SLR) and storm condition indicated. The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate bridge. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions)...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Beaches,
CMHRP,
Central California,
Central California Coast,
Climate change,
This data contains model-derived total water levels (in meters) for the sea-level rise (SLR) and storm condition indicated. The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate bridge. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions) and simulated...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Beaches,
CMHRP,
Central California,
Central California Coast,
Climate change,
This data contains maximum model-derived ocean currents (in meters per second) for the sea-level rise (SLR) and storm condition indicated. The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate bridge. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions)...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Beaches,
CMHRP,
Central California,
Central California Coast,
Climate change,
This data contains maximum model-derived ocean currents (in meters per second) for the sea-level rise (SLR) and storm condition indicated. The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate bridge. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions)...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Beaches,
CMHRP,
Central California,
Central California Coast,
Climate change,
This point shapefile represents 38 terrestrial laser scanner (TLS) survey scan locations collected by single-base real-time kinematic (RTK) global navigation satellite system (GNSS) surveys in Grapevine Canyon near Scotty's Castle, Death Valley National Park, from July 12-14, 2016. Data were collected by two Topcon GR-3 GNSS receivers at one-second intervals for three minutes for each location.
This polygon shapefile represents estimated flood-inundation areas in Grapevine Canyon near Scotty's Castle, Death Valley National Park. Estimates of the 4, 2, 1, 0.5, and 0.2 percent annual exceedance probability (AEP) flood streamflows (previously known as the 25, 50, 100, 250, and 500-year floods) were computed from regional flood regression equations. The estimated flood streamflows were used with one-dimensional hydraulic models to compute water surface elevations that were mapped on a digital terrain model of the study area. Those locations where the water surface was higher than the land surface were defined as inundated. The inundation polygons are named by AEP flow (4, 2, 1, 0.5, 0.2-percent) and geometry...
This U.S. Geological Survey data release consists of a geospatial dataset containing information on estimated streamflow extent, stream velocity, and stream depth at Soldier Meadows Black Rock Desert - High Rock Canyon Emigrant Trails National Conservation Area, Nevada, and the data acquired and processed to support the estimation of those attributes. Supporting datasets include topographic survey data collected using a global navigation satellite system (GNSS) in Soldier Meadows from August 13-15, 2019, and an archive of the two-dimensional hydraulic model used to generate a polygon dataset for streamflow extent as well as raster datasets for stream velocity, and stream depth. The data release includes: 1) a polygon...
A digital elevation model represented by a triangulated irregular network (TIN) was developed for proposed channel restoration at Soldier Meadows, Black Rock Desert - High Rock Canyon Emigrant Trails National Conservation Area, Nevada. The TIN was derived from lidar (light imaging, detection, and ranging) of quality level 1 collected in April 2018 by Quantum Spatial (Quantum Spatial Inc, 2018) for the Bureau of Land Management. The DEM also includes points surveyed in August 13-16, 2019, using a real-time kinematic (RTK) global navigation satellite system (GNSS). The lidar data are not included in this USGS publication due to BLM data-release restrictions for this dataset. Contact Bureau of Land Management, Nevada,...
This point shapefile contains information on 476 locations surveyed using a single-base real-time kinematic (RTK) global navigation satellite system (GNSS) in Soldier Meadows, Black Rock Desert - High Rock Canyon Emigrant Trails National Conservation Area, Nevada, August 14-15, 2019. The points were collected at 30-second intervals at control points and hydraulic structures and 5-second intervals at topographic points throughout the study area. The points were used as vertical precision verification for lidar data, editing the triangulated irregular network in locations of dense vegetation and surface water, locating streamflow measurement sites, creating hydraulic structures in the hydraulic model, and determining...
A three-dimensional hydrogeologic framework model (3D HFM) of the westernmost western Snake River Plain (WSRP) aquifer system was prepared to represent the subsurface distribution and thickness of four hydrogeologic units. The primary source of data for the 3D HFM was lithologic data from a total of 291 well-driller reports. These data were then processed using Rockware Rockworks17 three-dimensional modeling software. This dataset consists of five comma-delineated CSV files containing well information: location, lithology, well construction, aquifer, and comments. It is one of three related datasets.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Ada County,
Boise,
Canyon County,
Elmore County,
Gem County,
This dataset contains raster grids of water surface elevation for 15 modeled water-surface profiles at 5 flood frequencies (50- , 10,- 2- , 1- , and 0.2-percent annual exceedance probabilities, or 2- , 10- , 50- , 100- , and 500-year recurrence intervals) and 3 lake levels (representing average conditions, a 2-year-high condition, and a 100-year-high condition).
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Cascadilla Creek,
Cayuga Inlet,
Cayuga Lake,
Fall Creek,
Inundation map,
Reelfoot Lake, in northwestern Tennessee and southwestern Kentucky, is home to a Federal wildlife refuge, a State wildlife-management area, and to a tourism industry that is based on hunting, fishing, birding, and the area’s unique cultural history. In 2012, the U.S. Geological Survey, in cooperation with the Tennessee Wildlife Resources Agency, began a series of hydrologic investigations to support the U.S. Fish and Wildlife Service in managing lake level. The objective was to develop operational models that preserved the historic patterns of variability that had characterized the lake for the past 60 years while meeting seasonal water-level targets (Heal and others, 2022). Preliminary models for gate operations...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Fulton County,
Lake County, Tennessee,
Obion County,
Reelfoot Lake, Tennessee,
Tennessee,
This data release contains monthly 270-meter gridded Basin Characterization Model (BCMv8) climate inputs and hydrologic outputs for Santa Clara River Valley South Bay (SCVSB). Gridded climate inputs include: precipitation (ppt), minimum temperature (tmn), maximum temperature (tmx), and potential evapotranspiration (pet). Gridded hydrologic variables include: actual evapotranspiration (aet), climatic water deficit (cwd), snowpack (pck), recharge (rch), runoff (run), and soil storage (str). The units for temperature variables are degrees Celsius, and all other variables are in millimeters. Monthly historical variables from water years 1896 to 2019 are summarized into water year files and long-term average summaries...
The Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM), which was originally developed by Hanson and others (2020) (https://doi.org/10.3133/sir20195120), was updated and recalibrated to minimize the biases in RGTIHM’s simulation of streamflow and to incorporate new estimates of historical agricultural consumptive use in the study area. The RGTIHM was developed through an interagency effort between the U.S. Geological Survey (USGS) and the Bureau of Reclamation (Reclamation) to provide a tool for analyzing the hydrologic system response to the historical (March 1940 through 2014) evolution of water use and potential changes in water supplies and demands in the Hatch Valley (also known as Rincon Valley...
The Fluvial Egg Drift Simulator (FluEgg) estimates bighead, silver, and grass carp egg and larval drift in rivers using species-specific egg developmental data combined with user-supplied hydraulic inputs (Garcia and others, 2013; Domanski, 2020). This data release contains results from 240 FluEgg 4.1.0 simulations of bighead carp eggs in the Illinois River under steady flow conditions. The data release also contains the hydraulic inputs used in the FluEgg simulations and a KML file of the centerline that represents the model domain. FluEgg simulations were run for all combinations of four spawning locations, six water temperatures, and ten steady flow conditions. Each simulation included 5,000 bighead carp eggs,...
The numerical model is built using an high resolution (1m) idealized domain to test the implementation of lateral retreat formulations in the COAWST modeling framework. The lateral retreat is calculated within the model and is based on lateral wave thrust.
Categories: Data;
Types: NetCDF OPeNDAP Service;
Tags: barotropic_sea_water_x_velocity,
barotropic_sea_water_y_velocity,
coastal processes,
dataset,
mathematical modeling,
This data release contains trend results computed on the basis of modeled and observed daily streamflows at 502 reference gages across the conterminous U.S. from October 1, 1983 through September 30, 2016. Modeled daily streamflows were computed using the deterministic Precipitation Runoff Modeling System (PRMS), and five statistical techniques: Nearest-Neighbor Drainage Area Ratio (NNDAR), Map-Correlation Drainage Area Ratio (MCDAR), Ordinary Kriging of the logarithms of discharge per unit area (OKDAR), Nearest-Neighbor nonlinear spatial interpolation using flow duration curves (NNQPPQ), and Map-Correlation nonlinear spatial interpolation using flow duration curves (MCQPPQ). Observed daily streamflow data for the...
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