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ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers ___South Central CASC ____FY 2015 Projects
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The U.S. Great Plains is known for frequent hazardous convective weather and climate extremes. Across this region, climate change is expected to cause more severe droughts, more intense heavy rainfall events, and subsequently more flooding episodes. These potential changes in climate will adversely affect habitats, ecosystems, and landscapes as well as the fish and wildlife they support. Better understanding and simulation of regional precipitation can help natural resource managers mitigate and adapt to these adverse impacts. In this project, we aim to achieve a better precipitation downscaling in the Great Plains with the Weather Research and Forecast (WRF) model and use the high quality dynamic downscaling results...
Categories: Data;
Types: NetCDF OPeNDAP Service;
Tags: Red River,
climatologyMeteorologyAtmosphere,
dataset,
downscaling,
service
The Rio Grande-Rio Bravo Basin Subset Data were used to produce the digitalization of the River extent of water related models.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Hydraulics,
Hydrologic,
Optimization,
Rio Bravo,
Rio Grande,
Create an inventory of water-related models that have been developed for the Rio Grande/Bravo basin. The summary includes a description of model river extent, spatial and temporal resolution, time period, model type, and their possible application for testing environmental flows or climate change future alternatives.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Hydraulics,
Hydrologic,
Optimization,
Rio Bravo,
Rio Grande,
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 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 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...
Precipitation-related indicators for seasonal precipiation, extreme precipiation, and drought have been generated for 8701 weather stations covering the entire United States, and for a 198x337 grid (on a resolution of 1/16 th degree) covering the South Central region from the future downscaled projections using the Asynchronous Regional Regression Model. The data covers the period from 1950 to 2100. The high-resolution future projections are statistically downscaled from simulations by 12 global climate models from the Coupled Model Intercomparison Project phase 5 (ACCESS1-0, ACCESS1-3, CCSM4, CMCC-CM, CNRM-CM5, CSIRO-Mk3.6.0, MPI-ESM-LR, HadGEM2-CC, INMCM4, IPSL-CM5A-LR, MIROC5 and MRI-CGCM under the lower Representative...
Categories: Data;
Types: NetCDF OPeNDAP Service;
Tags: climatologyMeteorologyAtmosphere,
dataset,
drought,
extreme precipitation,
high-resolution precipitation projections,
Global climate models (GCMs) are numerically complex, computationally intensive, physics-based research tools used to simulate our planet’s inter-connected climate system. In addition to improving the scientific understanding of how the large-scale climate system works, GCM simulations of past and future climate conditions can be useful in applied research contexts. When seeking to apply information from global-scale climate projections to address local- and regional-scale climate questions, GCM-generated datasets often undergo statistical post-processing generally known as statistical downscaling (hereafter, SD). There are many different SD techniques, with all using information from observations to address GCM...
Categories: Data;
Types: NetCDF OPeNDAP Service;
Tags: climate,
climate change,
climate projections,
climatologyMeteorologyAtmosphere,
dataset,
This is one of five general categories that contains the water management elements on the Rio Grande/Bravo basin. This category includes the dams, water districts, and water related models on the United States and Mexico that overlap the basin boundary.
Categories: Data;
Types: Citation;
Tags: Dams,
Groundwater models,
Hydraulic models,
Hydrologic models,
Irrigation districts,
This is one of five general categories that contain the water related elements of the Rio Grande/Bravo basin. This category includes the land use and cover of the United States and Mexico that are located within the basin boundary. Under this category a digital elevation model for the basin is also included as well as the major soils within the basin.
Categories: Data;
Types: Citation;
Tags: Agriculture,
DEM,
Digital Elevation Model,
Forest,
Land cover,
Fire is a natural and necessary component of the South Central Plains ecosystem. However, fire suppression and more frequent droughts in the region have resulted in a build-up of dry fuels loads such as dead wood, resulting in fires that burn hotter and impact the landscape more severely. Uncontrolled wildfires have cost the region several billion dollars in the past five years. Further, fire suppression has resulted in substantial losses in native plant biodiversity and wildlife habitat, which also has costly implications. In Oklahoma alone, it’s estimated that $157 million will be required to restore rangelands to their native conditions. Of further concern is the fact that projected changes in climate indicate...
Categories: Data;
Types: Citation;
Tags: Climate change,
Climatology,
Controlled fires,
Drought, Fire and Extreme Weather,
Fire,
This is one of five general categories that contain the water related elements of the Rio Grande/Bravo basin. This category includes boundaries of the United States and Mexico as well as the States, Counties, and Municipalities that overlap with the basin boundary. This category includes also the extent and location of the cities within the basin and the current and historic population of such cities.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Boundaries,
Counties,
Country boundary,
Municipalities,
Rio Bravo,
This is one of five general categories that contain the water related elements of the Rio Grande/Bravo basin. This category includes some of hydrologic and climatic components of the United States and Mexico that overlap with the basin boundary. The vector datasets under this category are the main rivers, water bodies, monitoring points, watershed boundaries. Regarding the raster data sets, the category includes incofmation on average monthly precipitation, temperature and evapotranspiration on the basin
Categories: Data;
Types: Citation;
Tags: Boundaries,
Climate,
Evapotranspiration,
Hydrology,
Precipitation,
The dataset is a selection of water related models in the Rio Grande/Bravo basin that could be considered on the development or testing of environmental flow targets in the basin.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Hydraulics,
Hydrologic,
Optimization,
Rio Bravo,
Rio Grande,
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