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Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > South Central CASC > FY 2015 Projects ( Show direct descendants )

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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...
These videos were recorded as part of an online interactive course titled "Managing for a Changing Climate", offered by the University of Oklahoma. The course is free and available worldwide for anyone with an internet connection through the Janux platform. Course content and assignments provide students with an integrative understanding of the climate system, the role of natural variability in the climate system, external drivers of climate change, and the implications of climactic shifts for natural and cultural resources. Resources managers, tribal environmental professionals, staff and students at other Climate Science Centers and Landscape Conservation Cooperatives, and members of the general public can participate...
This project consisted of two principal components: (1) A climatological analysis of burn conditions (2) A forum to discuss fire risk and management practices The climatological study included seasonality and inter-annual variability and potential changes due to increasing temperatures. The regional forum engaged stakeholders in a discussion of the use of prescribed fire in a safe and effective manner.
Climate, sea level rise, and urbanization are undergoing unprecedented levels of combined change and are expected to have large effects on natural resources—particularly along the Gulf of Mexico coastline (Gulf Coast). Management decisions to address these effects (i.e., adaptation) require an understanding of the relative vulnerability of various resources to these stressors. To meet this need, the four Landscape Conservation Cooperatives along the Gulf partnered with the Gulf of Mexico Alliance to conduct this Gulf Coast Vulnerability Assessment (GCVA). Vulnerability in this context incorporates the aspects of exposure and sensitivity to threats, coupled with the adaptive capacity to mitigate those threats. Potential...
The Gulf Coast Vulnerability Assessment (GCVA or “Assessment”) is a collaborative effort to evaluate the vulnerability of four key ecosystems and eleven associated species to the effects of climate change, sea level rise, and land use change across the U.S. portion of the Gulf of Mexico. It is designed to inform land managers, researchers, and decision makers about the relative vulnerability across individual species and ecosystems and how that vulnerability varies spatially across the Gulf region for each. The GCVA is a qualitative assessment that compiles the expert opinions of managers, scientists, administrators, and others. The results presented herein represent informed opinions of the experts engaged, and...
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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.
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.
Future climate projections illuminate our understanding of the climate system and generate data products often used in climate impact assessments. Statistical downscaling (SD) is commonly used to address biases in global climate models (GCM) and to translate large‐scale projected changes to the higher spatial resolutions desired for regional and local scale studies. However, downscaled climate projections are sensitive to method configuration and input data source choices made during the downscaling process that can affect a projection's ultimate suitability for particular impact assessments. Quantifying how changes in inputs or parameters affect SD‐generated projections of precipitation is critical for improving...
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Abstract (from Wiley): An estimate of a river's natural flow regime is useful for water resource planning and ecosystem rehabilitation by providing insight into the predisturbance form and function of a river. The natural flow regime of most rivers has been perturbed by development during the 20th century and in some cases, before stream gaging began. The temporal resolution of natural flows estimated using traditional methods is typically not sufficient to evaluate cues that drive native ecosystem function. Additionally, these traditional methods are watershed specific and require large amounts of data to produce accurate results. We present a mass balance method that estimates natural flows at daily time step...
map background search result map search result map River extent of water related models in the Rio Grande/Bravo basin Rio Grande-Rio Bravo Basin Subset Data Very High-Resolution Dynamic Downscaling of Regional Climate for Use in Long-term Hydrologic Planning along the Red River Valley System River extent of water related models in the Rio Grande/Bravo basin Rio Grande-Rio Bravo Basin Subset Data Very High-Resolution Dynamic Downscaling of Regional Climate for Use in Long-term Hydrologic Planning along the Red River Valley System