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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.
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 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 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...
In 1993 and 2019, the Mississippi River Basin (MRB) experienced unprecedentedly persistent extreme precipitation events that resulted in a notable number of catastrophic flooding episodes. These floods caused disruption to almost every area of human endeavor and brought widespread damage to agricultural lands, homes, businesses, and infrastructure. These large flood events were associated with extreme rainfall events over an extended period and encompassed a number of U.S. states. We conducted two case studies: the MRB flooding events of 1993 and 2019. For each case study, we conducted a literature review and examined the sequence of extreme precipitation events and the evolution of flooding. We identified synoptic-scale...
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).
We collected a series of audio recordings of interviews conducted with research participants. The information collected details what was discussed during the conversations between the interviewer (one of our project team members) and project participants, individually, in pairs, or as a group of three people. The audio data were mostly collected in one geographic location: Miami, Oklahoma and several of the audio files were collected over the phone. One interview was conducted via email with typed responses.
Precipitation amounts, and frequencies are major regulators of soil heat-load profiles as the interval between rainfall events allows for increased heat storage during cloudless days. The extreme drought of 2011 and the subsequent Flash Drought that occurred in summer, 2012, developed in part due to soil temperature dynamics across the landscape of the Southern High Plains. For both agroecosystems and natural landscapes within the South-Central Region, soil temperature has a major role in determining the success of annual cropping systems, the ability of perennial plants to either establish or maintain themselves and the ability of the soil bacteria and fungi to carry out important decomposition and nutrient cycling,...
Categories: Data;
Tags: Daily Temperature Range,
Drought,
Drought, Fire and Extreme Weather,
Fire,
Soils,
The Soil and Water Assessment Tool (SWAT; Arnold et al., 1998) was used in this study to simulate the impacts of climate change, land and water conservation practices, and developing riparian forests on the water budget across the watershed. We used the SWAT 10.2 version in the ARCGIS 10.2 environment. The model has 10 sub-basins and 6661 hydrological response units (HRUs) with similar land use, soil type, and topography (slope). We used the completely calibrated and validated SWAT model of the study area developed by Samimi et al. (2022 & 2023), using a USGS 10 m × 10 m DEM (Digital Elevation Model), Land use information of 2008 (near normal year) to represent the average historical crop pattern (Crop Data Layer,...
The Ogallala Aquifer (OA) underlies about 170,000 square miles (111 million acres) of Wyoming, South Dakota, Nebraska, Kansas, Colorado, Oklahoma, Texas, and New Mexico, including about 1.9 million acres of tribal lands and 2.9 million acres of federal lands. Water from the aquifer is vital to regional aquatic, riparian, range, and agricultural ecosystems. These shapefiles show all active water wells in counties that are included in the Ogallala Aquifer Region. They are current as of June 2022.
A fully calibrated and validated SWAT model was used to provide watershed simulation results including irrigation water availability, crop evapotranspiration, outflow, and other components of the water budget such as groundwater recharge under different climate conditions (Dry (access1_0 rcp85) and Wet (fio_esm rcp45); Samimi et al., 2022), and selected environmental water allocation scenarios. The results are presented in the annual time interface for each Hydrologic Response Unit (HRU) in the watershed. We later aggregated these data to determine the values of each related component across the watershed. The data are available as open source to the public.
Categories: Data;
Tags: Irrigation water availability,
Rio Bravo,
Rio Grande,
Soil and Water Analysis Tool (SWAT),
Water budget components,
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