Delta-X: Matlab Model for Wax Lake Delta Land Accretion
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This dataset provides the Matlab sediment transport and land accretion model at Wax Lake Delta (WLD), Atchafalaya Basin, in coastal Louisiana. The data include the Matlab scripts that solve the advection and Exner equations to simulate the suspended sediment transport and accretion at WLD. The model requires modeled flow information from a separate ANUGA hydrodynamic model as inputs. For this study, ANUGA modeled flow information from the Delta-X Spring and Fall 2021 campaigns were used as inputs. The ANUGA output files are converted to variables used by this Matlab model using pre-processing tools. The main code calculates suspended sediment fluxes and accretion rates of mud and sand as a function of space and time. The cumulative sediment accretion from each campaign was then used to estimate an annualized land accretion map using a weighted-average formula presented. The final product, the one-yr upscaled land accretion map, is archived as a separate dataset.
Delta-X: Island and Secondary Channel Model, MRD, LA, USA, 2022
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This dataset includes model code and output for a model that simulates changes in islands and small water channels of river delta systems in response to dynamics of sediment deposit, erosion, and changing water levels. Simulations demonstrate developmental cycles of secondary channels and how sediment dynamics can allow islands to build land vertically to keep pace with rising sea levels rather than passively drowning. The model was applied to the Mississippi River Delta as part of NASA's Delta-X project. Simulations were run for other river deltas, including the Amazon, Brahmputra, Danube, Magdalena, Nile, Orinoco, Parana, Rhine-Meuse, and Rhone rivers. The model code is provided in text format for MATLAB software. Files demonstrating initial model conditions and outputs are provided in binary MATLAB as well as NetCDF version 4 format.
Model Archive Summary for a Suspended-Sediment Concentration Surrogate Regression Model for Station 405219124085601; Mad River Slough near Arcata, CA
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Model archive summary (MAS) describing the development of a suspended-sediment concentration (SSC) surrogate regression model for the Hookton Slough near Loleta, CA water quality station (USGS site ID# 404038124131801). A continuous 15-minute SSC record was computed using this regression model for the period of record (03-04-2016 to 09-10-2019). The computed SSC record can be found on NWIS Web at https://waterdata.usgs.gov/ca/nwis/uv?site_no=404038124131801. The SSC record was used to assess ambient SSC conditions, the availability of suspended sediment to support surface deposition and elevation gain in adjacent salt marshes, and to characterize salt marsh resiliency to climate change impacts in Humboldt Bay, CA.
Model Archive Summary for a Suspended-Sediment Concentration Surrogate Regression Model for Station 405219124085601; Mad River Slough near Arcata, CA
공공데이터포털
Model archive summary (MAS) describing the development of a suspended-sediment concentration (SSC) surrogate regression model for the Mad River Slough near Arcata, CA water quality station (USGS site ID# 405219124085601). A 15-minute SSC record was computed using this regression model for the period of record (03-04-2016 to 09-10-2019). The computed SSC record can be found on NWIS Web at https://waterdata.usgs.gov/nwis/inventory/?site_no=405219124085601&agency_cd=USGS. The SSC record was used to assess ambient SSC conditions, the availability of suspended sediment to support surface deposition and elevation gain in adjacent salt marshes, and to characterize salt marsh resiliency to climate change impacts in Humboldt Bay, CA.
Mad River Monthly BCMv8
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This data release contains monthly 270-meter gridded Basin Characterization Model (BCMv8) climate inputs and hydrologic outputs for Mad River (MRD). 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 future climate scenarios were spatially downscaled from 6 kilometers to 270 meters, and run through the BCMv8 using the same model parameters. The future climate scenarios are all Representative Concentration Pathway (RCP) 8.5 and include: CanESM2, CNRM-CM5, HadGEM2-ES, and MIROC5 from California's Forth Climate Change Assessment. Future climate scenarios span from water year 2007 to 2099, and monthly variables were summarized by water year and the average 2070 to 2099 period. Streamflow for each calibration gage was calculated using a post processing Excel spreadsheet and BCMv8 recharge and runoff, and are provided in tabular comma separated *.csv files. Raster grids are in the NAD83 California Teale Albers, (meters) projection in an open format ascii text file (*.asc).
Mad River Monthly BCMv8
공공데이터포털
This data release contains monthly 270-meter gridded Basin Characterization Model (BCMv8) climate inputs and hydrologic outputs for Mad River (MRD). 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 future climate scenarios were spatially downscaled from 6 kilometers to 270 meters, and run through the BCMv8 using the same model parameters. The future climate scenarios are all Representative Concentration Pathway (RCP) 8.5 and include: CanESM2, CNRM-CM5, HadGEM2-ES, and MIROC5 from California's Forth Climate Change Assessment. Future climate scenarios span from water year 2007 to 2099, and monthly variables were summarized by water year and the average 2070 to 2099 period. Streamflow for each calibration gage was calculated using a post processing Excel spreadsheet and BCMv8 recharge and runoff, and are provided in tabular comma separated *.csv files. Raster grids are in the NAD83 California Teale Albers, (meters) projection in an open format ascii text file (*.asc).
Digital elevation models (DEMs) and field measurements of flow velocity used to develop and test multidimensional hydrodynamic models (2D and 3D) for a reach of the upper Sacramento River in northern California
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This data release includes the input topographic data sets, model parameters, and validation field measurements of flow velocity used to develop and test multidimensional hydraulic models for a reach of the upper Sacramento River in northern California. Digital elevation models (DEMs) were developed by combining water depth maps of the reach, created using spectrally-based remote sensing methods, with light detection and ranging (lidar) data on water surface and terrestrial elevations. The depth maps were derived from three imagery sources: (1) airborne hyperspectral imagery (CASI); (2) uncrewed aerial survey (UAS)-based hyperspectral imagery (Nano); and (3) multispectral satellite imagery (WV3). The methods used to develop bathymetric maps for the reach are provided by Legleiter and Harrison (2019a) and the remote sensing data are available via a ScienceBase data release (Legleiter and Harrison, 2019b). The three DEMs contained in this data release were used as input to develop two-dimensional (2D) and three-dimensional (3D) hydrodynamic models using the Delft3D-Flexible Mesh (Delft3D-FM, 2022.01 release) model developed by Deltares (2022). We used a curvilinear grid with a cell size of 1 m. For the 2D models, we included a spiral flow parameter, which accounts for the effects of secondary flow induced by streamline curvature. For the 3D models, the vertical grid was divided into 10 sigma-layers that followed the bottom topography and free surface. Each sigma-layer represented 10% of the flow depth. We set the time step to ensure a Courant number less than 0.7, and specified a minimum depth for wetting/drying calculations of 0.05 m. We prescribed an upstream discharge of 260 m3/s and ran steady flow simulations. To account for turbulence in the 2D model, we used a uniform eddy viscosity value of 1 m2/s. For the 3D model, turbulence was represented using a κ-ε turbulence closure model. The flow resistance was defined using a uniform roughness height (ks) which was converted to spatially explicit Chezy C coefficients via the Colebrook-White equation. The map projection and datum for the three DEMs contained in this data release are UTM Zone 10 N and NAD83, respectively. Each of the three DEMs is provided as a comma-delimited (*.csv) text file consisting of three columns: East, North, and Elevation; the units of the spatial coordinates and the elevation are meters. Additional Delft3D-FM model input values are provided as a supplemental (*.csv) text file. These DEMs played a critical role in generating multidimensional hydrodynamic models developed from remotely sensed data. Field measurements of water velocity were acquired from a reach of the upper Sacramento River in northern California, September 12-14, 2017, to support research on salmon habitat along the Sacramento River and, more broadly, multidimensional hydrodynamic modeling. The velocity measurements included in this data release were obtained along a series of 10 cross-sections (XS) by a SonTek RiverSurveyor S5 acoustic Doppler current profiler (ADCP) deployed from a jet boat, making 5-10 passes across the channel at each XS. The spatial location of each measurement was obtained via a differential GPS included as part of the RiverSurveyor S5 ADCP instrument package. We post-processed the ADCP data using the Velocity Mapping Toolbox (VMT, version 4.09) (Parsons et al., 2013). In areas where the ADCP did not measure near-bed velocities reliably, we fitted a logarithmic profile to the measured part of the flow field and projected from the lowermost valid velocity measurement to zero velocity at the bed. The map projection and datum for these data are UTM Zone 10 N and NAD83, respectively. The ADCP-based velocity measurements in this data release are provided in a comma-delimited (*.csv) text file with six columns: East, North, Depth, Velocity_depAvg, Velocity_nearBed, and adcpXS; the units of the spatial coordinates and the depths are meters and the depth-averaged and
Basin Characterization Model (BCMv8) for the Salton Sea Watershed - Monthly Historical (water years 1896-2023) Climate and Hydrology
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This data release contains monthly 270-meter gridded Basin Characterization Model (BCMv8) climate inputs and hydrologic outputs for the Salton Sea Watershed, which crosses the international border into Mexico in the southern part of the basin. Downscaled gridded climate inputs (Daly et al., 2008) for the California portion of the BCM (Flint et al, 2021) include: precipitation (ppt), minimum temperature (tmn), maximum temperature (tmx), and potential evapotranspiration (pet). Historical climate data covering the Mexico portion of the watershed was unavailable. Climate data for the California portion of the watershed was regridded using regression techniques described in Flint & Flint (2012) to extend climate inputs into Mexico. Other model inputs include elevation, soil, land use, geology, and soil thickness data. These data were collected and processed for the Mexico portion of the watershed and merged with the BCM model inputs for the California portion of the watershed. 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 2023 are summarized into water year files and long-term average summaries for water years 1981-2010 and 1991-2020. Raster grids are in the the North American Datum 1983 (NAD83) California Teale Albers (meters) projection in an open format ascii text file (*.asc). References cited: Daly, C., Halbleib, M., Smith, J.I., Gibson, W.P., Doggett, M.K., Taylor, G.H., Curtis, J. and Pasteris, P.P., 2008. Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States. International Journal of Climatology: a Journal of the Royal Meteorological Society, 28(15), pp.2031-2064.https://doi.org/10.1002/joc.1688 Flint, L.E., Flint, A.L., and Stern, M.A., 2021, The Basin Characterization Model - A monthly regional water balance software package (BCMv8) data release and model archive for hydrologic California (ver. 4.0, May 2024): U.S. Geological Survey data release, https://doi.org/10.5066/P9PT36UI.