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{ "item_title" : "Generation of Large Directional Wind Speed Datasets from Smaller Synoptic Storm or Thunderstorm Data Samples", "item_author" : [" U. S. Department of Commerce", "Donghun Yeo "], "item_description" : "For structures sensitive to wind directionality, methods for the estimation of wind effects require the use of time series of directional wind speeds covering time periods exceeding the length of the Mean Recurrence Interval of interest in design. This study proposes a procedure for generating such time series from relatively short wind data sets.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/49/746/795/1497467950_b.jpg", "price_data" : { "retail_price" : "15.99", "online_price" : "15.99", "our_price" : "15.99", "club_price" : "15.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Generation of Large Directional Wind Speed Datasets from Smaller Synoptic Storm or Thunderstorm Data Samples|U. S. Department of Commerce

Generation of Large Directional Wind Speed Datasets from Smaller Synoptic Storm or Thunderstorm Data Samples

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Overview

For structures sensitive to wind directionality, methods for the estimation of wind effects require the use of time series of directional wind speeds covering time periods exceeding the length of the Mean Recurrence Interval of interest in design. This study proposes a procedure for generating such time series from relatively short wind data sets.

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Details

  • ISBN-13: 9781497467958
  • ISBN-10: 1497467950
  • Publisher: Createspace Independent Publishing Platform
  • Publish Date: August 2012
  • Dimensions: 11.02 x 8.5 x 0.06 inches
  • Shipping Weight: 0.2 pounds
  • Page Count: 28

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