Person

Keith Dixon

6 items:

Statistically downscaled precipitation sensitivity to gridded observation data and downscaling technique 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... Categories: Publication; Types: Citation
Final Report: Developing and Analyzing Statistically Downscaled Climate Projections for the South Central U.S. Categories: Publication; Types: Citation; Tags: Climate and Ecosystem Modeling, Daily precipitation, South Central CASC, maximum and minimum temperature, statistical downscaling
Projected Future Bioclimate-Envelope Suitability for Reptile and Amphibian Species of Concern in South Central USA. Categories: Publication; Types: Citation; Tags: Aneides hardii, Birds, Chiricahua Leopard Frog, Jemez Mountains Salamander, Lithobates chiricahuensis, All tags...
Evaluation and Improvement of Tail Behavior in the Cumulative Distribution Function Transform Downscaling Method Abstract (from RMetS): The cumulative distribution function transform (CDFt) downscaling method has been used widely to provide local‐scale information and bias correction to output from physical climate models. The CDFt approach is one from the category of statistical downscaling methods that operates via transformations between statistical distributions. Although numerous studies have demonstrated that such methods provide value overall, much less effort has focused on their performance with regard to values in the tails of distributions. We evaluate the performance of CDFt‐generated tail values based on four distinct approaches, two native to CDFt and two of our own creation, in the context of a “Perfect Model”... Categories: Publication; Types: Citation; Tags: Birds, Mammals, Other Wildlife, South Central CASC, Wildlife and Plants
Assessing Future Changes to Spring Phenology and False Springs in the South Central United States The onset of spring, represented by first leaf and first bloom, is a critical indicator of the health and growth of ecosystems. Studies have shown that the timing of first leaf and first bloom has shifted to earlier in the year across the U.S., impacting species that time their own life history events based on spring onset. False springs occur when temperatures briefly warm and “trick” plants into opening their buds, only to be followed by a hard freeze that can kill the young, sensitive buds. These events can cause significant damage to ecosystems as well as agriculture. For example, a false spring in the Southeast in 2007 caused $2 billion in damage to crops. Some projections of future climate conditions have... Categories: Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2019, CASC, Plants, Plants, Projects by Region, All tags...

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