29 lines
1.4 KiB
Python
Executable file
29 lines
1.4 KiB
Python
Executable file
# -*- coding: utf-8 -*-
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"""
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Climate indices for geotechnical engineering consideration are
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extremely important for designing engineered structures on permanently
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frozen and seasonally frozen soils, particularly in Alaska. Relevant
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climate indices typically include (over a given timespan) a site's
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average air temperature, the average air freezing and air thawing
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indices, and the design air freezing and thawing indices (the average
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of the three coldest or three warmest years, respectively).
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The University of Alaska Fairbanks (UAF) Scenarios Network for Alaska
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and Arctic Planning (http://snap.uaf.edu) has prepared and maintains
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a geographically gridded dataset representing calculated climate
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parameters across Alaska. SNAP provides an estimate of historical
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climate conditions in regions of Alaska that do not have consistent
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climate records, as well as providing scientifically defined
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peer-reviewed climatic projections. Previous methods utilized in
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engineering practice for projecting climate indices involved
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procedures with no scientific basis (linear extrapolation), and
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provided little confidence in the accuracy of the results. As
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distributed, the SNAP datasets are extremely large and cumbersome, and
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represent a significant hurdle for users to process site-specific
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data.
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.. moduleauthor:: Matthew Dillon <mrdillon@alaska.edu>
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"""
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from ._backend import SNAPDataSet, GeoRefData, mkdir_p, wgs84_to_ne, ne_to_wgs
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