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Keyword: interpolation

High resolution interpolation of climate scenario change factors for Alaska derived from AR4 General Circulation Model simulations

Datasets Posted on: August 27, 2015
Projections of future global climate have been developed by numerous climate modeling groups around the world; however, this data is often at spatial scales much larger than the spatial scale of resource management. This study develops a set of change factors that can be used with a user-selected historical climate data set to create climate change projections at the spatial scale of approximately 9.25 kilometer grid.

High resolution interpolation of climate scenario change factors for the conterminous USA derived from AR4 General Circulation Model simulations

Datasets Posted on: August 27, 2015
Projections of future global climate have been developed by numerous climate modeling groups around the world; however, this data is often at spatial scales much larger than the spatial scale of resource management. This study develops a set of change factors that can be used with a user-selected historical climate data set to create climate change projections at the spatial scale of approximately 9.25 kilometer grid.

High resolution interpolation of climate scenarios for the conterminous USA and Alaska derived from general circulation model simulations

Publications Posted on: December 05, 2011
Projections of future climate were selected for four well-established general circulation models (GCM) forced by each of three greenhouse gas (GHG) emissions scenarios, namely A2, A1B, and B1 from the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES).

A multiscale curvature algorithm for classifying discrete return LiDAR in forested environments

Publications Posted on: November 26, 2007
One prerequisite to the use of light detection and ranging (LiDAR) across disciplines is differentiating ground from nonground returns. The objective was to automatically and objectively classify points within unclassified LiDAR point clouds, with few model parameters and minimal postprocessing. Presented is an automated method for classifying LiDAR returns as ground or nonground in forested environments occurring in complex terrains.

Spatial evaluation of precipitation in two large watersheds in north-central Arizona

Publications Posted on: July 26, 2006
The USDA Forest Service established the Beaver Creek Experimental Watershed Pilot Project in north-central Arizona in 1957 and operated it until 1982. After the Forest Service discontinued the project in 1982, Northern Arizona University's School of Forestry continued to monitor and do research in two of the largest watersheds, known as Woods Canyon and Bar M. From 1982 to 1995 only streamflow data are available for these watersheds.