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Using previously published (Robinson and others, 2019) no-flow fractions and L-moments of nonzero streamflow from decadal streamflow flow-duration analysis (daily mean streamflow), probability distributions were fit to provide 27 estimated quantiles of decadal flow-duration curves, and hence the probability distributions are a form of parametric modeling that ensures monotonicity of the quantiles by non-exceedance probability (NEP). For both U.S. Geological Survey streamflow-gaging stations (streamgages) and level-12 hydrologic unit code (HUC12) catchments, as defined by Crowley-Ornelas and others (2019), the 27 quantiles were estimated and tabulated in this data release. Three probability distributions were used...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alabama,
Florida,
Gulf Coast,
Gulf Coast,
Gulf Coast Ecosystem Restoration Council,
This dataset provides numerical and categorical descriptions of 48 basin characteristics for 956 basins with observed streamflow information and 9,314 ungaged basins coinciding with 12-digit hydrologic unit code (HUC12) pour points that drain to the Gulf of Mexico. Characteristics are indexed by National Hydrography Dataset (NHD) version 2 COMID (integer that uniquely identifies each feature in the NHD) and U.S. Geological Survey (USGS) station number for streamflow-gaging station, where applicable. The variables represent mutable and immutable basin characteristics and are organized by characteristic type: physical (5), hydrologic (6), categorical (12), climate (6), landscape alteration (7), and land cover (12)....
Categories: Data,
Data Release - Revised;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Alabama,
Arkansas,
Basin characteristics,
Florida,
Georgia,
Human alteration of waterways has impacted the minimum and maximum streamflow in more than 86% of monitored streams nationally and may be the primary cause for ecological impairment in river and stream ecosystems. Restoration of freshwater inflows can positively affect shellfish, fisheries, habitat, and water quality in streams, rivers, and estuaries. Increasingly, state and local decision makers and Federal agencies are turning their attention to the restoration of flows as part of a holistic approach to restoring water quality and habitat and protecting and replenishing living coastal and marine resources and the livelihoods that depend on them. In 2017, the U.S. Geological Survey (USGS) Lower Mississippi-Gulf...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alabama,
Florida,
Gulf Coast,
Gulf Coast,
Gulf of Mexico,
The Louisiana Department of Natural Resources’ (LaDNR) Strategic Online Natural Resources Information System (SONRIS) is a repository for recent (1930–present) well information that includes date of completion, well construction, geology, and water level. Well information is provided by the well drillers during the permitting process and is updated regularly by LaDNR. This data set consists of well records that were drilled into or through the Chicot aquifer and associated aquifer units (200-foot sand of Lake Charles area; 500-foot sand of Lake Charles area; 700-foot sand of Lake Charles area; Chicot aquifer system surficial confining unit; Chicot aquifer, lower sand unit; Chicot aquifer, shallow sand unit; Chicot...
Imputed salinities from either salinity or specific conductance observations and covariate data in data structures deemed suitable for statistical modeling of salinity in near-coastal environments of the northern Gulf of Mexico are provided for 15 salinity groups. The data herein were created by the 'covardr2formodel.R' script of 'covESTUSAL software' (Asquith and others, 2023), which represents terminal decisions on variable setup and transformations. The design ideal is data downloaded from this data release would be used in some path of “input” within statistical modeling software. Copious documentation of the decision process for data assembly is provided by Asquith and others (2023).
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Estuary,
Gulf of Mexico,
Gulf of Mexico,
Modeling,
Salinity,
The dataset entitled “imputedsalt_MissS” holds data structures to be relayed to statistical modeling of salinity in near-coastal environments of the Northern Gulf of Mexico. The content therein is created by the ‘covardr2formodel.R’ script that represents terminal decisions on variable setup and transformations. The design ideal is that the content of this directory would be copied to some path of “input” within a model building repository. The table in this directory would be especially suitable for both (1) formal data releases supporting as needed interpretive publications and (2) simultaneous long-term storage as copies within a model building repository in some specific terminal decisions (variable transforms...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Estuary,
Gulf of Mexico,
Gulf of Mexico,
Mississippi Sound,
Modeling,
The dataset entitled “imputedsalt_GalBa” holds data structures to be relayed to statistical modeling of salinity in near-coastal environments of the Northern Gulf of Mexico. The content therein is created by the ‘covardr2formodel.R’ script that represents terminal decisions on variable setup and transformations. The design ideal is that the content of this directory would be copied to some path of “input” within a model building repository. The table in this directory would be especially suitable for both (1) formal data releases supporting as needed interpretive publications and (2) simultaneous long-term storage as copies within a model building repository in some specific terminal decisions (variable transforms...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Estuary,
Galveston Bay,
Gulf of Mexico,
Gulf of Mexico,
Modeling,
Using previously published (Robinson and others, 2019) no-flow fractions and L-moments of nonzero streamflow from decadal streamflow flow-duration analysis (daily mean streamflow), probability distributions were fit to provide 27 estimated quantiles of decadal flow-duration curves, and hence the probability distributions are a form of parametric modeling that ensures monotonicity of the quantiles by non-exceedance probability (NEP). For both U.S. Geological Survey streamflow-gaging stations (streamgages) and level-12 hydrologic unit code (HUC12) catchments, as defined by Crowley-Ornelas and others (2019), the 27 quantiles were estimated and tabulated in this data release. Three probability distributions were used...
This data release provides the data that support the findings in "Characterizing groundwater and surface-water interaction using hydrograph-separation techniques and groundwater-level data throughout the Mississippi Delta" by Killian and others (2019). This child item for the Generalized Additive Model includes GAMobs_0410_error data and metadata with the grid node coordinates in North American Datum of 1983 (NAD 83) and results, including error estimates for the Generalized Additive Model (GAM) used to estimate the difference in groundwater altitudes relative to NAD 83 for April 10th of 1980 and April 10th of 2016. The paper associated with the data release quantifies the spatial and temporal changes in baseflow...
Categories: Data;
Tags: MAP,
Mississippi,
Mississippi River Delta,
effects of groundwater extraction,
groundwater,
A potentiometric surface map for spring 2016 was created for the Mississippi River Valley alluvial (MRVA) aquifer, which was referenced to the North American Vertical Datum of 1988 (NAVD 88), using most of the available groundwater-altitude data from wells and surface-water-altitude data from streamgages. Most of the wells were measured annually or one time, after installation, but some wells were measured more than one time in a year and a small number of wells were measured continually. Streamgages were typically operated continuously. The potentiometric surface map for 2016 was created as part of the U.S. Geological Survey (USGS) Water Availability and Use Science Program to support investigations that characterize...
Groundwater-level data, in conjunction with attendant metadata and covariates (predictor variables) data, for the Mississippi River Valley alluvial aquifer (MRVA) are used to support statistical and process-based numerical modeling. This page represents a collection of groundwater-level data within the expanse of the Mississippi Alluvial Plain (MAP) (Painter and Westerman, 2018) and are derived from well-specific periods of record of discrete measurements and continuous water levels aggregated to daily statistics. The basic data structures are intended also to serve as interpretability standards for use by statistical software such as described by Asquith and Seanor (2019) and Asquith and others (2019).
A potentiometric-surface map for spring 2020 was created for the Mississippi River Valley alluvial aquifer (MRVA), which was referenced to the North American Vertical Datum of 1988 (NAVD 88), using most of the available groundwater-altitude data from wells and surface-water-altitude data from streamgages. The location and water-level altitude in feet for these wells and streamgages in spring 2020 are provided in this data release. The interpreted contours and raster of the potentiometric surface are also provided in this data release and in the associated report titled "Potentiometric surface, Mississippi River Valley alluvial aquifer, spring 2020" and available at https://doi.org/10.3133/sim3478/.
A potentiometric surface map for spring 2016 was created for the Mississippi River Valley alluvial (MRVA) aquifer, which was referenced to the North American Vertical Datum of 1988 (NAVD 88), using most of the available groundwater-altitude data from wells and surface-water-altitude data from streamgages. Most of the wells were measured annually or one time, after installation, but some wells were measured more than one time in a year and a small number of wells were measured continually. Streamgages were typically operated continuously. The potentiometric surface map for 2016 was created as part of the U.S. Geological Survey (USGS) Water Availability and Use Science Program to support investigations that characterize...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arkansas,
Illinois,
Kentucky,
LMG,
Louisiana,
The data and R scripts contained in this data release are provided as support for a manuscript titled, "Copula theory as a generalized framework for flow-duration curve based streamflow estimates in ungaged and partially gaged catchments" (Worland and others, 2019) submitted to Water Resources Research. The dv_input.csv contains the measured daily streamflow values for 37 streamgages in the Mobile-Tombigbee River Basin, 4-digit hydrologic unit code (HUC4) 0316, and 37 gages in the Trinity River Basin, HUC4 codes 1201, 1202, 1203, and 1204. The coord_input.csv contains the coordinates and the basin area (squared meters) for the gages in each basin. The R scripts generate daily streamflow estimates using 16 different...
The U.S. Geological Survey (USGS) Lower Mississippi-Gulf Water Science Center (LMGWSC) in collaboration with the U.S. Environmental Protection Agency and funded through the Resources and Ecosystems, Sustainability, Tourist, Opportunities, and Revived Economies of the Gulf Coast States Act (RESTORE Act) are conducting a multiyear multistate study to analyze the alteration and trends of streamflow delivery to the Gulf of Mexico; the results of of which are used in an OASIS model decision support tool (Hazen and Sawyer, New York, NY, USA). To fully develop the OASIS model, a geospatial polyline boundary delineating the Mobile and Perdido bays OASIS streamflow prediction model study area was created. The spatial extent...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alabama,
Georgia,
Gulf Coast,
Lousiana,
Mississippi,
The dataset entitled “imputedsalt_TamBa” holds data structures to be relayed to statistical modeling of salinity in near-coastal environments of the Northern Gulf of Mexico. The content therein is created by the ‘covardr2formodel.R’ script that represents terminal decisions on variable setup and transformations. The design ideal is that the content of this directory would be copied to some path of “input” within a model building repository. The table in this directory would be especially suitable for both (1) formal data releases supporting as needed interpretive publications and (2) simultaneous long-term storage as copies within a model building repository in some specific terminal decisions (variable transforms...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Estuary,
Gulf of Mexico,
Gulf of Mexico,
Modeling,
Salinity,
A potentiometric surface map for spring 2016 was created for the Mississippi River Valley alluvial (MRVA) aquifer, which was referenced to the North American Vertical Datum of 1988 (NAVD 88), using most of the available groundwater-altitude data from wells and surface-water-altitude data from streamgages. Most of the wells were measured annually or one time, after installation, but some wells were measured more than one time in a year and a small number of wells were measured continually. Streamgages were typically operated continuously. The potentiometric surface map for 2016 was created as part of the U.S. Geological Survey (USGS) Water Availability and Use Science Program to support investigations that characterize...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arkansas,
Illinois,
Kentucky,
LMG,
Louisiana,
This page contains 15 estimated quantiles for 9,203 level-12 Hydrologic Unit Code in the Southeastern United States for the decades 1950-1959, 1960-1969, 1970-1979, 1980-1989, 1990-1999, and 2000-2009. A multi-output neural network was used to generate the estimated quantiles (Worland and others, 2019). The R scripts that generated the predictions are also included along with a README file. The 15 quantiles are associated with the following 15 non-exceedance probabilities (NEPs): 0.0003, 0.0050, 0.0500, 0.1000, 0.2000, 0.3000, 0.4000, 0.5000, 0.6000, 0.7000, 0.8000, 0.9000, 0.9500, 0.9950, and 0.9997. The quantiles were calculated using the Weibull plotting position (more details can be found in the accompanying...
This data release consists of statistical predictions of daily salinity time series generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope includes the predictions for 91 locations within bays and estuaries of the Gulf of Mexico, United States. The 91 locations are organized across 15 salinity groups and represented in the organizational structure of this data release. The input data files of imputed salinity (observations, response variable) and covariates (predictor variables)...
Categories: Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Estuary,
Gulf of Mexico,
Gulf of Mexico,
Modeling,
Salinity,
Censored and uncensored generalized additive models (GAMs) are developed from 955 U.S. Geological Survey streamflow-gaging stations (streamgages) to predict decadal statistics of streamflow. The streamgages are located on streams draining to the Gulf of Mexico. Decadal statistics include no-flow fractions and selected L-moments of nonzero streamflow for six decades (1950s—2000s). These statistics represent metrics of decadal flow-duration curves (dFDCs) derived from about 10 million daily mean streamflows. The L-moments include the mean, coefficient of L-variation, and the third through fifth L-moment ratios. The models are fit using watershed properties such as basin area and slope, decadal precipitation and temperature...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alabama,
Florida,
Gulf Coast,
Gulf Coast,
Gulf of Mexico,
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