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Contrails MS 36 Patrick Minnis Submitted to Encyclopedia of Atmospheric Sciences, 2nd Edition (2014)

Contrails MS 36 Patrick Minnis Submitted to Encyclopedia of Atmospheric Sciences, 2nd Edition (2014)

Methodology For "scientific" Data Reporting is mere "observation" as any so-called "conspiracy theorist" would use.

  • "Although contrails are most often identified by their linear shapes both from ground
    observations" (p. 15)
  • "Surface observations over the USA during the 1990's indicate that persistent contrails
    occur, on average, approximately 9% of the time" (p. 21)
  • "Observations are often used to guide and/or validate these approaches." (p. 24)

 

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Gerald R. North, John A. Pyle, Fuqing Zhang Elsevier, Sep 14, 2014 - Science - 2998 pages0 Reviews

Encyclopedia of Atmospheric Sciences, 2nd Edition is an authoritative resource covering all aspects of atmospheric sciences, including both theory and applications. With more than 320 articles and 1,600 figures and photographs, this revised version of the award-winning first edition offers comprehensive coverage of this important field. The six volumes in this set contain broad-ranging articles on topics such as atmospheric chemistry, biogeochemical cycles, boundary layers, clouds, general circulation, global change, mesoscale meteorology, ozone, radar, satellite remote sensing, and weather prediction.

The Encyclopedia is an ideal resource for academia, government, and industry in the fields of atmospheric, ocean, and environmental sciences. It is written at a level that allows undergraduate students to understand the material, while providing active researchers with the latest information in the field.

Covers all aspects of atmospheric sciences—including both theory and applications
Presents more than 320 articles and more than 1,600 figures and photographs
Broad-ranging articles include topics such as atmospheric chemistry, biogeochemical cycles, boundary layers, clouds, general circulation, global change, mesoscale meteorology, ozone, radar, satellite remote sensing, and weather prediction
An ideal resource for academia, government, and industry in the fields of atmospheric, ocean, and environmental sciences.

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