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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,
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,
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,
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,
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,
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,
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,
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,
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.
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 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...
A new version of USGS’s FORE-SCE model was used to produce unprecedented landscape projections for four ecoregions in the Great Plains (corresponding to the area represented by the Great Plains Landscape Conservation Cooperative). The projections are characterized by 1) high spatial resolution (30-meter cells), 2) high thematic resolution (29 land use and land cover classes), 3) broad spatial extent (covering much of the Great Plains), 4) use of real land ownership boundaries to ensure realistic representation of landscape patterns, and 5) representation of both anthropogenic land use and natural vegetation change. A variety of scenarios were modeled from 2014 to 2100, with decadal timesteps (i.e., 2014, 2020, 2030,...
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).
This projects primary goal was to provide data on occurrence and abundance of SAV resources within the fresh to saline coastal waters of the northern Gulf of Mexico, and to relate these findings to key environmental variables. The data set provides the collected data from 2013, 2014 and 2015 on site location, discrete water quality, aquatic vegetation cover and biomass by species. The same 384 sites were collected each year, between June and September. 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: Alabama,
Aquatic Biology,
Climatology,
Gulf of Mexico,
Louisiana Coastal,
This projects primary goal was to provide data on biomass of potential seed resources located within shallow water coastal areas within fresh to saline coastal waters of the northern Gulf of Mexico. The data set provides biomass of seeds, by species or lowest practical taxon from 2013, 2014 and 2015 across 384 randomly selected sites located in shallow water coastal areas. The data were collected between June and September of each year. This data set can be merged with a dataset which reports submerged aquatic vegetation and environmental data collected at the same time (La Peyre et al. 2017; https://doi.org/10.5066/F7GH9G44). This project was co-funded by the South Central Climate Adaptation Science Center and...
Categories: Data;
Types: Citation;
Tags: Alabama,
Aquatic Biology,
Climatology,
Gulf of Mexico,
Louisiana Coastal,
362 days of hourly temperature readings for eight trout streams in northern new mexico
RiverWare simulated daily regulated streamflow data for modeled locations 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, lake 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,
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