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This dataset contains the input files, script, and output files regarding 110 years of daily regulated (observed) and naturalized streamflow (million cubic meters/day) for ten gauge stations in the Rio Grande/Bravo basin. The gauge stations included are at Amistad, Anzalduas, Artesia, Below Presidio, Laredo, Conchos Outlet, Foster Ranch, Laredo, Pecos Outlet, Salado River, and San Juan River.
RiverWare simulated daily averaged surface water permit requested diversions and diversions modeled in the spatially refined model region within the Red River Basin. Values reported are for 18 different climate projection scenarios and a historical scenario, from 2010 through 2099 and 1976 through 2005, respectively. The RiverWare model was used to determine the impacts on regulated flows, resevoir levels, and water permit reliability. RiverWare was used for this project because of its ability to simulate water use, reservoir operations, and local/interstate regulations.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Choctaw Nation,
Climate Change,
Red River Basin,
Regulated Streamflow,
RiverWare,
Native Cutthroat Trout Oncorhynchus clarkii spp. populations in the western U.S. have declined in part due to displacement by nonnative trout, but mechanisms to explain displacement vary by species and geography. Using a production framework, we demonstrated allopatric populations of Rio Grande Cutthroat Trout O. c. virginalis (RGCT) exhibited consistently higher biomass and secondary production rates (0.19–0.92 g DM·m-2·yr-1) than sympatric populations with Brown Trout Salmo trutta (0.01–0.05 g DM·m-2·yr-1) and that an interactive temperature effect on RGCT biomass and production was overshadowed by the presence of Brown Trout across cold and warm streams. Interestingly, over half of trout production was fueled...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Biological Production,
New Mexico,
Rocky Mountain SW,
biota,
ecology,
Variable Infiltration Capacity model results for several hydroclimatological variables for the Arkansas and Canadian River Basin of Oklahoma. Inputs to models were Daymet climate observations as well as the CCSM4, MIROC5, and MPI ESM LR Global Climate Models using Representative Concentration Pathways 2.6, 4.5 and 8.5.
A monthly water balance model (MWBM) was driven with precipitation and temperature using a station-based dataset for current conditions (1949 to 2010) and selected statistically-downscaled general circulation models (GCMs) for current and future conditions (1950 to 2099) across the conterminous United States (CONUS) using hydrologic response units from the Geospatial Fabric for National Hydrologic Modeling (Viger and Bock, 2014). Six MWBM output variables (actual evapotranspiration (AET), potential evapotranspiration (PET), runoff (RO), streamflow (STRM), soil moisture storage (SOIL), and snow water equivalent (SWE)) and the two MWBM input variables (atmospheric temperature (TAVE) and precipitation (PPT)) were summarized...
Categories: Data,
Data Release - Revised;
Types: Map Service,
NetCDF OPeNDAP Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: USGS Science Data Catalog (SDC),
United States,
Water Resources,
hydrology,
inlandWaters,
Data were used for a total of 97 climate projection scenarios in this study. These scenarios show monthly and annual streamflow in the Rio Grande main channel at the pair of USGS gauges at San Marcial, representing the inflows to Elephant Butte reservoir from 2022 to 2099. Townsend and Gutzler (2020) developed an adjustment procedure to convert natural flows projected by the U.S. Bureau of Reclamation at the Elephant Butte dam to realistic flow values at San Marcial (at the upstream end of Elephant Butte Reservoir) to account for upstream water management. The scenarios cover a range of dry (average annual projected flow less than the historical value) to wet (average annual projected flow higher than the historical...
Categories: Data;
Tags: Climate conditions projection,
Global Climate Models,
Normalization methods,
Rio Bravo,
Rio Grande,
This data set includes bi-monthly data on submerged aquatic vegetation species composition, percent cover, above and below ground biomass and environmental data at coastal sites across the fresh to saline gradient in Barataria Bay, LA. This project was co-funded by the South Central Climate Adaptation Science Center and the Gulf Coast Prairie and the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperatives. An alternate reference to this product can be found here.
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Climatology,
Gulf of Mexico,
Louisiana Coastal,
Plants,
Sea-Level Rise and Coasts,
A dataset of the macroinvertebrates collected for a trout production study from August 2017- August 2018 in northern New Mexico. The invertebrates are sampled from the benthos, drift, and trout stomachs (via gastric lavage). The drift and benthic invertebrate data represent subsampled individuals. There is a separate file that documents the percent of original sample. The diet samples were not subsampled. The dataset includes individual invertebrates identified to taxonomic Order, lifestage, habitat, their measured lengths, and regressed dry masses.
THE CHICKASAW NATION HOSTED THIS RESEARCH SYMPOSIUM ON MARCH 22-24, 2022, HELD AT THE CHICKASAW RETREAT AND CONFERENCE CENTER IN SULPHUR, OK. After the Climate Workshop for The Chickasaw Nation in 2019, the Tribal managers discussed the need to include culture in conservation efforts and decided to seek a grant for culturally significant plants. This event was organized and led by the Chickasaw Nation and was funded by the U.S. Geological Survey through the South Central Climate Adaptation Science Center. There were 106 attendees with 75 Native representatives from 21 different tribes. There were 11 student attendees. Attendees came from all across the United States including Maine, New York, Michigan, Montana,...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Conservation,
Culturally significant plants,
Indigenous Peoples,
Louisiana,
New Mexico,
Simulated daily averaged surface water permit requested diversions and diversions modeled in the spatially refined model region within the Canadian River Basin RiverWare model. Values reported are for forty-six (46) scenarios implementing combinations of 1) three various climate model outputs for three various representative concentration pathways, 2) three various reservoir water right policy assumptions, and 3) three various projected future demands from 1983 through 2099. The RiverWare model was used to determine the impacts on regulated flows, reservoir levels, and water permit diversions. RiverWare software was used for this project because of its ability to simulate water use, reservoir operations, water right...
Categories: Data;
Tags: Canadian River Basin,
Choctaw Nation,
Climate Change,
Regulated Streamflow,
RiverWare,
This dataset provides bi-monthly data on seed biomass collected in shallow water habitats across the fresh to saline gradient at coastal sites in Barataria Bay, Louisiana. This project was co-funded by the South Central Climate Adaptation Science Center and the Gulf Coast Prairie and the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperatives. An alternate reference to this product can be found here.
Categories: Data;
Types: Citation;
Tags: Alabama,
Climatology,
Gulf of Mexico,
Louisiana Coastal,
Mississippi Coastal,
The Management Options Database synthesizes and documents a comprehensive set of management practices implemented by the water managers on behalf of a collective (e.g., municipal water systems, irrigation districts) or as individuals (e.g., farmers) to adapt to drought conditions in the Rio Grande/Río Bravo basin. This database provides input to implement the policies in the agent-based module of the ENVISION RGB integrated model (i.e., the range of possible decisions the agents can make in the model) and explore new scenarios of water management. It was developed drawing on the ethnographic data collected by the ethnographic team (Friedman, Paladino). Regular meetings were facilitated by the modeling team (Koch,...
Categories: Data;
Tags: Conservation,
Land,
Management Practices,
Rio Bravo Basin,
Rio Grande Basin,
The main source of surface water for irrigation in the study area is the Rio Grande River. The upstream reservoirs, Elephant Butte and Caballo, are used to regulate river flow into the study area. In order to estimate the future surface water availability, we developed a model and routed the reservoir inflow projections at the USGS San Marcial through the reservoir system. The data are available in csv worksheet as open source for free public use.
Categories: Data;
Tags: Caballo Reservoir,
Elephant Butte Reservoir,
Irrigation water resources,
Reservoir routing,
Rio Bravo,
Groundwater resources are important for irrigated agricultural activities in the region. Farmers use groundwater to compensate for insufficient surface water availability. The data are stored in a csv file titled 'Monthly Groundwater Projections' (groundwater_availability_projections.csv). The columns represent monthly groundwater pumping rates (m3/day) while the rows represent months and dates. The data are open source and available for free public use.
Categories: Data;
Tags: Fresh Groundwater,
Groundwater Resources,
Irrigation Water Resources,
Rio Bravo,
Rio Grande,
This file summarizes the data found in RG_obs_PTSWEQ.csv used in the analysis of the contribution of precipitation, temperature, and SWE to the interannual variability of runoff generation in the Rio Grande headwaters.
This dataset contains standardized in-situ soil moisture measurements from four sparse soil moisture monitoring networks in the South Central United States. This includes measurements in Oklahoma, Texas, Arkansas and Louisiana. The raw soil moisture measurements from a total of 220 stations over the four states were obtained from the Oklahoma Mesonet, West Texas Mesonet, USDA Soil Climate Analysis Network and NOAA Climate Reference Network. The measurements have been screened using the Quality Assurance and Quality Control (QAQC) process that is described in Quiring et al. (2016). The measurements were standardized to common depths using the methods described in Zhang et al. (2017) and they are provided at a daily...
This database provides crop coefficients and start and termination dates for more than 40 crops grown in the Rio Grande/Bravo basin. It was created drawing on a literature and dataset review covering resources from the State Agricultural Extension Services (Colorado State University, New Mexico State University, and Texas A&M University), the USDA (U.S. Department of Agriculture), AgriMet, and the FAO (Food and Agriculture Organization). The database provides crop coefficients from plant emergence (or break dormancy in the case of perennials) to termination (harvest or dormancy), as well earliest planting date, killing frost temperature and cumulative growing degree days up to emergence, full cover and termination....
Categories: Data;
Tags: Crop coefficient,
Evapotranspiration,
Harvesting Date,
Rio Bravo,
Rio Grande,
Benthic and Drift invertebrate samples were processed by two parties. Some of the samples were subsampled according to a standardized protocol in order to be processed more efficiently. This dataset includes the information that is necessary for "scaling up" the invertebrate data to concentration in square meters (benthic) or cubic meters (drift).
The data files used in the analysis of BCSD CMIP5 simulations as part of the broader analysis of the future of streamflow predictability for the Rio Grande headwaters. The data files were generated using the raw data from the Bureau of Reclamation publicly available datasets (reference below) "Reclamation, 2013. 'Downscaled CMIP3 and CMIP5 Climate and Hydrology Projections: Release of Downscaled CMIP5 Climate Projections, Comparison with preceding Information, and Summary of User Needs', prepared by the U.S. Department of the Interior, Bureau of Reclamation, Technical Services Center, Denver, Colorado. 47pp." Data Portal URL: https://gdo-dcp.ucllnl.org/downscaled_cmip_projections/dcpInterface.html.
The Rio Grande/Río Bravo Socio-Environmental geodatabase synthesizes a broad array of existing geospatial data sets on the social and environmental characteristics of the basin. In addition to traditional biophysical and socio-political data sets (e.g., stream network, political jurisdictions boundaries, land use and land cover), the geodatabase provides the spatial domain for a typology of institutions making decisions about water and land. The produced geodatabase aggregates 145 GIS data layers classified on five main themes: (i) Water & Land Governance, (ii) Hydrology, (iii) Water Use & Hydraulic Infrastructures, (iv) Socio-Economics, and (v) Biophysical Environment. Data sets, identified as critical by the modeling...
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