Search Results

You are looking at 1 - 2 of 2 items for :

  • Data quality control x
  • Tropical Cyclone Intensity Experiment (TCI) x
  • Journal of Atmospheric and Oceanic Technology x
  • All content x
Clear All
Daniel J. Cecil and Sayak K. Biswas

stage. Doyle et al. (2017) summarize the TCI flights and datasets. From the quality-controlled dropsonde wind profiles, a layer-average wind speed is computed over the lowest 150 m of the profile (WL150), or the lowest 500 m [mean boundary layer (MBL)] if low-level data are unavailable ( Franklin et al. 2003 ). This averaging removes some of the effect of gustiness in the dropsonde wind profile. Near-surface wind speed is estimated from WL150 using the coefficients in Uhlhorn et al.’s (2007) Fig

Full access
Peter Black, Lee Harrison, Mark Beaubien, Robert Bluth, Roy Woods, Andrew Penny, Robert W. Smith, and James D. Doyle

correction (FEC) on two receivers was implemented to improve data reception at ranges > 200 km. Beyond sensor uncertainties, overall data quality is affected by data gaps in the telemetered data. To minimize gaps, the XDD uses FEC to recover data packets having bit errors. In addition, merged data from four redundant receivers minimizes overall data dropouts that appear at different times on the four different receivers, providing a more continuous stream of observations for use in optimal time series

Full access