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The Langley Parameterized Shortwave Algorithm (Lpsa) for Surface Radiation Budget Studies. 1.0

The Langley Parameterized Shortwave Algorithm (Lpsa) for Surface Radiation Budget Studies. 1.0

          
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About the Book

An efficient algorithm was developed during the late 1980's and early 1990's by W. F. Staylor at NASA/LaRC for the purpose of deriving shortwave surface radiation budget parameters on a global scale. While the algorithm produced results in good agreement with observations, the lack of proper documentation resulted in a weak acceptance by the science community. The primary purpose of this report is to develop detailed documentation of the algorithm. In the process, the algorithm was modified whenever discrepancies were found between the algorithm and its referenced literature sources. In some instances, assumptions made in the algorithm could not be justified and were replaced with those that were justifiable. The algorithm uses satellite and operational meteorological data for inputs. Most of the original data sources have been replaced by more recent, higher quality data sources, and fluxes are now computed on a higher spatial resolution. Many more changes to the basic radiation scheme and meteorological inputs have been proposed to improve the algorithm and make the product more useful for new research projects. Because of the many changes already in place and more planned for the future, the algorithm has been renamed the Langley Parameterized Shortwave Algorithm (LPSA).Gupta, Shashi K. and Kratz, David P. and Stackhouse, Paul W., Jr. and Wilber, Anne C.Langley Research CenterALGORITHMS; ATMOSPHERIC RADIATION; ENERGY BUDGETS; SPATIAL RESOLUTION; METEOROLOGICAL PARAMETERS...


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Product Details
  • ISBN-13: 9781723767814
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 280 mm
  • No of Pages: 32
  • Spine Width: 2 mm
  • Width: 216 mm
  • ISBN-10: 1723767816
  • Publisher Date: 17 Sep 2018
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Weight: 100 gr


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