Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > Southeast CASC > FY 2013 Projects > Downscaling Climate Projections to Understand Future Temperature and Precipitation Patterns in the Southeast ( Show direct descendants )
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ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers ___Southeast CASC ____FY 2013 Projects _____Downscaling Climate Projections to Understand Future Temperature and Precipitation Patterns in the Southeast Filters
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Abstract (from American Society of Agricultural and Biological Engineers): Agricultural best management practices (BMPs) reduce nonpoint-source pollution from cropland. Goals for BMP adoption and expected pollutant load reductions are often specified in water quality management plans to protect and restore waterbodies; however, estimates of the needed load reductions and pollutant removal performance of BMPs are generally based on historic climate. Increasing air temperatures and changes in precipitation patterns and intensity are anticipated throughout the U.S. over the 21st century. The effects of such changes on agricultural pollutant loads have been addressed by several studies, but how these changes will affect...
Categories: Publication;
Types: Citation
The Multivariate Adaptive Constructed Analogs(MACA)(Abatzoglou, Brown, 2011) method is a statistical downscaling method which utilizes a training dataset (i.e. a meteorological observation dataset) to remove historical biases and match spatial patterns in climate model output. We have used MACA to downscale the model output from 20 global climate models (GCMs) of the Coupled Model Inter-Comparison Project 5 (CMIP5) for the historical GCM forcings (1950-2005) and the future Representative Concentration Pathways (RCPs) RCP 4.5 and RCP8.5 scenarios (2006-2100) from the native resolution of the GCMS to either 4-km or ~6-km.
Tags: Southeast CASC
This project has generated a series of freely available datasets that provide projections of climate change at appropriate spatial scales that can directly address specific management questions. These climate change projections are the result of “downscaling” output from global climate models (GCMs) that formed the basis of many conclusions in the Intergovernmental Panel on Climate Change (IPCC) Assessment Report 5 (AR5). The datasets include projections of climate variables in addition to daily temperature and precipitation such as surface winds, humidity and solar radiation that are needed in hydrologic and ecological modeling. Two products, one at a 4-km resolution and the other at a 6-km resolution, covering...
Abstract (from Journal of Economic Entomology): Emerald ash borer, Agrilus planipennis Fairmaire (Coleoptera: Buprestidae), is one of the most serious forest pests in the United States. Ongoing research indicates that establishment of larval parasitoids depends upon the season-long availability of host stages susceptible to parasitism. We monitored emerald ash borer overwintering stages at 90 sites across 22 states to: 1) produce a model of the percentage of emerald ash borer overwintering as non-J larvae; 2) link that model to establishment of Tetrastichus planipennisi; and 3) explore changes to our model under climate change scenarios. Accumulated growing degree days (GDD) is an important predictor of the proportion...
Categories: Publication;
Types: Citation
The 20th century climate for the Southeastern United States and surrounding areas as simulated by global climate models used in the Coupled Model Intercomparison Project Phase 5 (CMIP5) was evaluated. A suite of statistics that characterize various aspects of the regional climate was calculated from both model simulations and observation-based datasets. CMIP5 global climate models were ranked by their ability to reproduce the observed climate. Differences in the performance of the models between regions of the United States (the Southeastern and Northwestern United States) warrant a regional-scale assessment of CMIP5 models.
NOTICE: Given the large size of the MACAv2METDATA dataset, and a known issue with the data server being used to host it, initial load times may take a very long time and / or time out. Subsequent requests should be faster due to caching, but the cache clears periodically and the dataset must be rescanned prior to access. We are working on a fix for this issue. In the mean time, please use the dataset with care and make sureyou've reviewed the GDP scalability guidelines. https://my.usgs.gov/confluence/display/GeoDataPortal/Geo+Data+Portal+Scalability+Guidelines This archive contains daily downscaled meteorological and hydrological projections for the Conterminous United States at 1/24-deg resolution utilizing the...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
NetCDF OPeNDAP Service,
Raster;
Tags: CMIP5,
MACA,
air_temperature,
climatologyMeteorologyAtmosphere,
dataset,
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