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Sunday, August 2, 2020 | History

2 edition of Data processing in meteorology found in the catalog.

Data processing in meteorology

WMO/IUGG Symposium on Meteorological Data Processing (1965 Brussels)

Data processing in meteorology

proceedings of the WMO/IUGG Symposium on Meteorological Data Processing, Brussels 1965.

by WMO/IUGG Symposium on Meteorological Data Processing (1965 Brussels)

  • 326 Want to read
  • 11 Currently reading

Published by Secretariat of the World Meteorological Organization in Geneva .
Written in English


Edition Notes

SeriesTechnical note -- 73.
ContributionsInternational Union of Geodesy and Geophysics., World Meteorological Organization.
ID Numbers
Open LibraryOL20919602M

Meteorology is the study of the atmosphere, atmospheric phenomena, and atmospheric effects on our atmosphere is the gaseous layer of the physical environment that surrounds a planet. Earth’s atmosphere is roughly to kilometers ( miles) thick. Gravity keeps the atmosphere from expanding much farther. Meteorology is a subdiscipline of the atmospheric sciences, a term. Things to keep in mind when looking for a good data processing data set: The cleaner the data, the better — cleaning a large data set can be very time consuming. There should be an interesting question that can be answered with the data. Cloud hosting providers like Amazon and Google are good places to .

Some of the data assessment and processing procedures are at the large scales and complex, and therefore, require effective and efficient computer programs. Data reduction and graphical display in addition to probabilistic and statistical calculations are among the general purposes of the book. Air pollution meteorology covers boundary layer scaling, pre-processing meteorological data, air quality management, urban meteorology, and atmospheric chemistry (oxides of nitrogen are central to ozone chemistry) with accounts of typical air pollution episodes and a brief dictionary of air pollutants.

The following is by Dennis Shea (NCAR). A common question: "What is the best software to use for climate data processing?"There is no simple answer. All software tools and languages have strengths and weaknesses. For large scale data processing on a variety of data sets in assorted data formats and differing project requirements, it is unlikley that a perfect tool or language exits. International critical tables of numerical data, physics, chemistry and technology / (New York: Pub. for the National research council by the McGraw-Hill book company, inc., ), by National Research Council (U.S.), Callie Hull, Clarence J. West, Edward Wight Washburn, Knovel (Firm), National Academy of Sciences (U.S.), and International.


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