Filters: Categories: Data (X) > Extensions: NetCDF OPeNDAP Service (X)

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

Location Folder Show Tree ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers ___South Central CASC ____FY 2015 Projects Assessing the State of Water Resource Knowledge and Tools for Future Planning in the Lower Rio Grande-Rio Bravo Basin Assessing the State of Water Resource Knowledge and Tools for Future Planning in the Upper Rio Grande-Rio Bravo Basin Climate Training for Native Tribes of Louisiana and New Mexico Developing and Analyzing Statistically Downscaled Climate Projections for the South Central U.S. Helping Fire Professionals Understand and Manage Changing Fire Regimes More... Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types NetCDF OPeNDAP Service (3) Contacts David Watkins Adrienne Wootten Katharine Hayhoe Jung-Hee Ryu Xiaoming Hu Tag Types theme (3) ISO Topic Category (3) dataset (3) service (3) Tag Schemes scopecode (3) URL of ISO Codelist? (3) View Results as: JSON ATOM CSV Browse Folder

Very High-Resolution Dynamic Downscaling of Regional Climate for Use in Long-term Hydrologic Planning along the Red River Valley System 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 High-Resolution Precipitation Projections for the South Central U.S. 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, All tags... service, Fewer tags South Central Climate Projections Evaluation Project (C-PrEP) 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, All tags... downscaling, service, Fewer tags