Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > South Central CASC ( Show direct descendants )
792 results (15ms)
Location
Folder
ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers ___South Central CASC Filters
Date Range
Extensions Types
Contacts
Categories Tag Types
|
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,
Pollinator restoration presents many challenges, from selecting which species to plant to provide nectar during critical periods, to anticipating how these plant species will respond to changes in climate. A better understanding of flowering and seed timing for critical nectar plants, and the links between this activity and climate, can inform more resilient restoration plantings. We are a team of collaborators from the Bosque Ecosystem Monitoring Program, the Tribal Alliance for Pollinators, the Gulf Coast Phenology Trail, and the USA National Phenology Network, supported by a grant from the South Central Climate Adaptation Science Center. Our project, Time to Restore: Connecting People, Plants, and...
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 a dropped-edge analysis of grassland and forest networks in the South Central United States based on land cover data from 2006 and graph theory to evaluate Landscape Resistance to Dispersal (LRD). LRD represents the degree to which habitat availability limits species movement. LRD decreases as habitat availability increases and increases as habitat availability decreases. This data set includes a range of LRD thresholds to represent species with different dispersal abilities and responses to landscape structure. A threshold indicates the highest LRD that still allows dispersal by a particular group of species. LRD thresholds are included in the data set, with low values representing connectivity...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Forests,
Grasslands and Plains,
Landscapes,
Other Wildlife,
South Central CASC,
Categories: Publication;
Types: Citation;
Tags: Ecology,
Ecology models,
Hydraulics,
Hydrologic models,
Hydrology,
The threat of droughts and their associated impacts on the landscape and human communities have long been recognized in the United States, especially in high risk areas such as the southcentral region. This project examines whether existing drought indices can predict the occurrence of drought events and their actual damages, how the adaptive capacity (i.e., resilience) varies across space, and what public outreach and engagement effort would be most effective for mitigation of risk and impacts. The study region includes all 503 counties in Arkansas, Louisiana, New Mexico, Oklahoma, and Texas. This data set was created to assess the community resilience to the drought hazards using the Resilience Inference Measurement...
Categories: Data;
Types: Citation;
Tags: Arkansas,
Climatological hazard,
Drought,
Drought, Fire and Extreme Weather,
Louisiana,
This webinar is part of a series featuring South Central Climate Science Center researchers studying the Rio Grande, a critical water resource for people and wildlife. Learn more at southcentralclimate.org and view the other webinars in this series here.
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,
|
|
