2004 UC Proceedings Abstract
Combining Deterministic and Probabilistic Methods to Produce Gridded Climatologies Track: Climate, Weather and Atmosphere Author(s): Michael Squires, Alan McNab There are nearly 8,000 sites in the United States for which detailed climatologies of various atmospheric variables have been produced. However, spatial interpolation of these point climatologies via traditional techniques (IDW, kriging, etc.) is often not accurate, especially in mountainous regions, coastal zones, or data sparse areas. This paper discusses NCDC's preliminary efforts to combine deterministic and probabilistic methods to produce improved gridded climatologies. Two methods to combine multiple linear regression information with deterministic climatologies produced by the Advanced Climate Modeling and Environmental Simulation (ACMES) modeling system are described. GIS is used to visualize intermediate and final grids during the development of these techniques. Michael Squires National Climatic Data Center (NOAA) Product Development Branch 151 Patton Ave Asheville , NC 28801 US Phone: (828) 271-4060 E-mail: Mike.Squires@noaa.gov Alan McNab National Climatic Data Center (NOAA) 151 Patton Ave. Asheville , NC 28801 US Phone: (828) 271-4453 E-mail: Alan.McNab@noaa.gov |