By National Research Council, Division on Earth and Life Studies, Board on Atmospheric Sciences and Climate, Committee on Archiving and Accessing Environmental and Geospatial Data at NOAA
The nationwide Oceanic and Atmospheric management (NOAA) collects and manages quite a lot of environmental and geospatial information to satisfy its project requirements--data that reach from the outside of the solar to the middle of the earth, and have an effect on each point of society. With constrained assets and large development in facts volumes, NOAA requested the nationwide Academies for suggestion on tips on how to archive and supply entry to those information. This e-book deals initial rules and guidance that NOAA and its companions can use to start making plans particular archiving options for the information streams they at the moment acquire. for instance, the ebook concludes that the choice to archive environmental or geospatial facts will be pushed by means of its present or destiny worth to society, and that investment for environmental and geospatial measurements may still comprise enough assets to archive and supply entry to the knowledge those efforts generate. The initial rules and instructions proposed during this booklet may be sophisticated and multiplied to hide facts entry concerns in a last e-book anticipated to be published in 2007.
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Additional info for Preliminary Principles and Guidelines for Archiving Environmental and Geospatial Data at NOAA: Interim Report
Example text
Living marine resource and hydrographic surveys), biological and chemical properties, weather observations, and satellite data. Synthesized Products are those that have been developed through analysis of original data. This includes analysis through statistical methods; model interpolations, extrapolations, and simulations; and combinations of multiple sets of original data. While some scientific evaluation and judgment is needed, the methods of analysis are well documented and relatively routine.
Consider the relative costs of preserving and providing access to certain types of derived data products versus regenerating these data from archived first-stream input. 3. Develop a list of principles and guidelines regarding what types of data should be archived indefinitely (for at least 75 years), and what types of data could be stored for shorter durations under budgetary constraints. 4. Develop a list of principles and guidelines on how best to provide access to different variables, data sets and derived products, illustrated with a limited set of examples and case studies.
He has held the position of director of the DOE Office of Science Scientific Discovery through Advanced Computing (SciDAC) program and the DOE’s Computer Hardware, Advanced Mathematics and Model Physics (CHAMMP) Program. D. in Atmospheric Science in 1985 from Colorado State University. Donald W. Burgess is a research fellow at the Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at the University of Oklahoma. He has served as the Chief of the Warning Research and Development Division of the National Severe Storms Laboratory (NSSL).