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The idealized test domain is utilized to study vertical tracer mixing without the presence of advection terms. The tracer starts to mix under the application of a surface stress. The model results are intended to be accessed from the THREDDS data server available through the related external resources. The model NetCDF files are stored on this trusted digital repository to ensure backup and longevity of these data.
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The numerical simulation of estuarine dynamics requires accurate prediction for the transport of tracers such as temperature and salinity. All numerical models introduce two kinds of tracer mixing: 1) by parameterizing the tracer eddy diffusivity through turbulence models leading to a source of physical mixing and 2) discretization of the tracer advection term that leads to numerical mixing. Both physical and numerical mixing vary with the choice of horizontal advection schemes, grid resolution, and time step. We utilize the Coupled-Ocean-Atmosphere-Wave-Sediment Transport (COAWST) model to study the mixing in the model by simulating four idealized cases with three different tracer advection schemes.
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This data release contains monthly 270-meter resolution Basin Characterization Model (BCMv8) climate and hydrologic variables for Localized Constructed Analog (LOCA; Pierce et al., 2014)-downscaled ACCESS 1.0 Global Climate Model (GCM) for Representative Concentration Pathway (RCP) 4.5 (medium-low emissions) and 8.5 (high emissions) for hydrologic California. The LOCA climate scenarios span water years 1950 to 2099 with greenhouse-gas forcings beginning in 2006. The LOCA downscaling method has been shown to produce better estimates of extreme events and reduces the common downscaling problem of too many low-precipitation days (Pierce et al., 2014). Ten GCMs were selected from the full ensemble of models from the...
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This data release contains monthly 270-meter resolution Basin Characterization Model (BCMv8) climate and hydrologic variables for Localized Constructed Analog (LOCA; Pierce et al., 2014)-downscaled Global Climate Models (GCMs) for Representative Concentration Pathway (RCP) 4.5 (medium-low emissions) and 8.5 (high emissions) for hydrologic California. The 20 future climate scenarios consist of ten GCMs with RCP 4.5 and 8.5 each: ACCESS 1.0, CanESM2, CCSM4, CESM1-BGC, CMCC-CMS, CNRM-CM5, GFDL-CM3, HadGEM2-CC, HadGEM2-ES, and MIROC5. The LOCA climate scenarios span water years 1950 to 2099 with greenhouse-gas forcings beginning in 2006. The LOCA downscaling method has been shown to produce better estimates of extreme...
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Groundwater is a vital resource to the Mississippi embayment region of the central United States. Regional and integrated assessments of water availability that link physical flow models and water quality in principal aquifer systems provide context for the long-term availability of these water resources. An innovative approach using machine learning was employed to predict groundwater pH across drinking water aquifers of the Mississippi embayment. The region includes two principal regional aquifer systems; the Mississippi River Valley alluvial (MRVA) aquifer and the Mississippi embayment aquifer system that includes several regional aquifers and confining units. Based on the distribution of groundwater use for...
The environmental performance of regions and largest economies of the world - actually, the efficiency of their energy sectors - is estimated for the period 2010-2030 by using forecasted values of main economic indicators. Two essentially different methodologies, data envelopment analysis and stochastic frontier analysis, are used to obtain upper and lower boundaries of the environmental efficiency index. Greenhouse gas emission per unit of area is used as a resulting indicator, with GDP, energy consumption, and population forming a background of comparable estimations. The dynamics of the upper and lower boundaries and their average is analyzed. Regions and national economies having low level or negative dynamics...
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Parameter values for the Precipitation Runoff Modeling System (PRMS) using the National Hydrologic Modeling (NHM) infrastructure. The contents of the attached zip folder are a direct download from the USGS bitbucket repository titled National Hydrologic Model Parameter Database (NhmParamDb) (https://my.usgs.gov/bitbucket/projects/MOWS/repos/nhmparamdb/browse). The NhmParamDb is stored using a Git version control system, which tracks modifications to the master dataset through 'commits'. Each commit has a unique code to allow for retroactive identification of any given component of the repository. The specific attributes of the download contained in this release are: Date: May 8, 2017 Commit: 6ccc41d5688 Filename:...
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Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including specific conductance (SC), total dissolved solids (TDS), and chloride (Cl) concentrations—across three drinking-water aquifers of the Mississippi embayment. A ML approach was used because it accommodates a large and diverse set of explanatory variables, does not assume monotonic relations between predictors and response data, and results can be extrapolated to areas of the aquifer not sampled. These aspects of ML allowed potential drivers and sources of high salinity water that have been hypothesized in other studies to...
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These model archive summaries document the surrogate regression models developed to estimate 15-minute suspended-sediment concentrations at three streamgage sites in Colorado: Anthracite Creek above Mouth near Somerset, U.S. Geological Survey (USGS) site number 09132095; Muddy Creek above Paonia Reservoir, USGS site number 385903107210800; and North Fork Gunnison below Raven Gulch near Somerset, USGS site number 385553107243301. The methods used follow USGS guidance as referenced in relevant Office of Surface Water Technical Memorandum (TM) 2016.07 and Office of Water Quality TM 2016.10, USGS Techniques and Methods, book 3, chap. C5 (Landers and others, 2016), and (or) USGS Techniques and Methods, book 3, chap....
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This data set represents initial forest communities developed for Isle Royale National Park. LANDIS-II requires an input data layer that contains the ages of each species cohort present within each cell of the landscape. To develop this layer, we matched the composition of forest inventory plots to a map of forest types, and randomly imputed U.S. Department of Agriculture Forest Inventory plots within each matching forest type
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These data were compiled to evaluate the magnitude and direction of change from historical conditions in climate metrics across the Southeastern Utah Group (SEUG) of National Parks. Objective(s) of our study were to quantify the magnitude and direction of change from historical conditions in climate metrics across SEUG parks at a meaningful scale for land managers and practitioners. These data represent the historical and projected future average temperatures for two emission scenarios and 12 global circulation models. Included are the annual average temperatures and the average temperatures for each season. These data were created by sampling representative locations across each National Park unit and simulating...
Tags: Arches National Park, Botany, Canyonlands National Park, Climatology, Colorado Plateau, All tags...
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Digital flood-inundation maps for a 2.9-square-mile area of Ithaca, New York, were created in 2015–18 by the U.S. Geological Survey in cooperation with the City of Ithaca, New York, and the New York State Department of State. The flood-inundation maps depict estimates of the maximum areal extent and depth of flooding corresponding to selected flood frequencies for Cayuga Inlet, Sixmile Creek, Cascadilla Creek, and Fall Creek and selected water-surface elevations of Cayuga Lake. Flood profiles for the stream reaches were computed by combining a one-dimensional step-backwater model for the stream channels and a two-dimensional model for the overbank areas. The resulting hydraulic model was calibrated by using water-surface...
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Groundwater in the Big Lost River Basin is vital to irrigated agriculture in the basin and water users are concerned about declining groundwater levels. The U.S. Geological Survey, in cooperation with the Idaho Department of Water Resources, developed a hydrogeologic framework to provide a conceptual understanding of groundwater resources in the Big Lost River Basin. A three-dimensional hydrogeologic framework model of the Big Lost River Basin was generated to represent the subsurface distribution and thickness of four hydrogeologic units. The primary source of data for the hydrogeologic framework model was lithologic and well construction data from a well database (621 wells) compiled for this purpose. This data...
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This data release contains monthly 270-meter gridded Basin Characterization Model (BCMv8) climate inputs and hydrologic outputs for Klamath (KL). 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 for water years 1981-2010. Four...
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This polygon shapefile represents model simulated flood-inundation extents for the Muddy River, near Moapa Nevada. A flood frequency analysis was performed at USGS streamgage 09416000 - Muddy River near Moapa, Nevada, to estimate the 50, 20, 10, 4, 2, and 1-percent annual exceedance probability (AEP) flood streamflows. The flood-inundation extents for the 50-, 20-, 10-, 4-, 2-, and 1-percent AEP floods were simulated for the current levee location in 2019 and for the new levee location of the proposed restoration. One model simulation represents the levee at its current (existing) location in 2019 on the east bank of the river and referred to as ‘current conditions (2019).’ A second model simulation removes the...
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This data release provides flooding extent polygons based on sea-level rise and wave-driven total water levels for the coast of American Samoa's most populated islands of Tutuila, Ofu-Olosega, and Tau. Oceanographic, coastal engineering, ecologic, and geospatial data and tools were combined to evaluate the increased risks of storm-induced coastal flooding due to climate change and sea-level rise. We followed risk-based valuation approaches to map flooding due to waves and storm surge at 10-m2 resolution along these islands coastlines for annual (1-year), 20-year, and 100-year return-interval storm events and +0.25 m, +0.50 m, +1.00 m, +1.50 m, +2.00 m, and +3.00 m sea-level rise scenarios.
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The data includes dates, places, and times of sampling events for eggs of invasive Grass Carp (Ctenopharyngodon idella) in tributaries to the Great Lakes in 2021 and 2022. Reference data on locations and dates sampled, gears used, and effort are included. Developmental stages for a subset of undamaged, fertilized eggs are provided. Tables include common fields to allow for integration into a relational database to aid data extraction and associating data among tables. First posted: September 2023 Revised: November 2023 (version 1.1)
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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. CoSMoS 3.2 for Northern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Data for Northern California covers the coastline from Golden Gate Bridge to the California-Oregon state border.
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The development of a hydrologic foundation, essential for advancing our understanding of flow-ecology relationships, was accomplished using the high-resolution physics-based distributed rainfall-runoff model Vflo. We compared the accuracy and bias associated with flow metrics that were generated using Vflo at both a daily and monthly time step in the Canadian River basin, USA. First, we calibrated and applied bias correction to the Vflo model to simulate streamflow at ungaged catchment locations. Next, flow metrics were calculated using both simulated and observed data from stream gage locations. We found discharge predictions using Vflo were more accurate than using drainage area ratios. General correspondence...


map background search result map search result map National Hydrologic Model Parameter Database: 2017-05-08 Download Geospatial dataset of flood-inundation maps for Cayuga Inlet, Sixmile Creek, Cascadilla Creek, and Fall Creek at Ithaca, New York Point locations of daily flow rates in the Canadian River watershed derived from hydrologic modeling 1994-2013 Machine-learning model predictions and groundwater-quality rasters of specific conductance, total dissolved solids, and chloride in aquifers of the Mississippi embayment Prediction grids of pH Surrogate regression models for computation of time series suspended-sediment concentrations at Muddy Creek above Paonia Reservoir, Anthracite Creek above mouth near Somerset, and North Fork Gunnison below Raven Gulch near Somerset, Colorado Stable isotopic ratios of hydrogen and oxygen in groundwater and calculated fraction of recharge from winter precipitation, South Rim Grand Canyon, Arizona Isle Royal National Park (ISRO): Initial Forest Communities of Isle Royale National Park Klamath Monthly BCMv8 Hydrogeologic Framework of the Big Lost River Basin, South-Central Idaho: Hydrogeologic Framework Model and Well Data Climate and drought adaptation: historical and projected future exposure metrics for Southeastern Utah Group National Parks 1) Simulated flood-inundation extents for the Muddy River, near Moapa, Nevada Future Climate and Hydrology from Twenty Localized Constructed Analog (LOCA) Scenarios and the Basin Characterization Model (BCMv8) Future Climate and Hydrology from the Basin Characterization Model (BCMv8) using LOCA-downscaled Global Climate Model ACCESS 1.0 Coastal Storm Modeling System (CoSMoS) for Northern California 3.2 Projected coastal flooding extents for 1-, 20-, and 100-year return interval storms and 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in American Samoa Grass Carp (Ctenopharyngodon idella) egg capture data from Great Lakes tributaries, 2021-2022 (ver. 1.1, November 2023) 1) Simulated flood-inundation extents for the Muddy River, near Moapa, Nevada Geospatial dataset of flood-inundation maps for Cayuga Inlet, Sixmile Creek, Cascadilla Creek, and Fall Creek at Ithaca, New York Coastal Storm Modeling System (CoSMoS) for Northern California 3.2 Isle Royal National Park (ISRO): Initial Forest Communities of Isle Royale National Park Hydrogeologic Framework of the Big Lost River Basin, South-Central Idaho: Hydrogeologic Framework Model and Well Data Stable isotopic ratios of hydrogen and oxygen in groundwater and calculated fraction of recharge from winter precipitation, South Rim Grand Canyon, Arizona Climate and drought adaptation: historical and projected future exposure metrics for Southeastern Utah Group National Parks Point locations of daily flow rates in the Canadian River watershed derived from hydrologic modeling 1994-2013 Klamath Monthly BCMv8 Grass Carp (Ctenopharyngodon idella) egg capture data from Great Lakes tributaries, 2021-2022 (ver. 1.1, November 2023) Surrogate regression models for computation of time series suspended-sediment concentrations at Muddy Creek above Paonia Reservoir, Anthracite Creek above mouth near Somerset, and North Fork Gunnison below Raven Gulch near Somerset, Colorado Machine-learning model predictions and groundwater-quality rasters of specific conductance, total dissolved solids, and chloride in aquifers of the Mississippi embayment Prediction grids of pH Future Climate and Hydrology from Twenty Localized Constructed Analog (LOCA) Scenarios and the Basin Characterization Model (BCMv8) Future Climate and Hydrology from the Basin Characterization Model (BCMv8) using LOCA-downscaled Global Climate Model ACCESS 1.0 National Hydrologic Model Parameter Database: 2017-05-08 Download