Impact of CYGNSS Ocean Surface Wind Speeds on Numerical Simulations of a Hurricane in Observing System Simulation Experiments

Details

• Journal Title:
  Journal of Atmospheric and Oceanic Technology
• Personal Author:
  Zhang, Shixuan ; Pu, Zhaoxia ; Posselt, Derek J. ; Atlas, Robert
• NOAA Program & Office:
  OAR (Oceanic and Atmospheric Research)
• Description:
  The NASA Cyclone Global Navigation Satellite System (CYGNSS) was launched in late 2016. It will make available frequent ocean surface wind speed observations throughout the life cycle of tropical storms and hurricanes. In this study, the impact of CYGNSS ocean surface winds on numerical simulations of a hurricane case is assessed with a research version of the Hurricane Weather Research and Forecasting Model and a Gridpoint Statistical Interpolation analysis system in a regional observing system simulation experiment framework. Two different methods for reducing the CYGNSS data volume were tested: one in which the winds were thinned and one in which the winds were superobbed. The results suggest that assimilation of the CYGNSS winds has great potential to improve hurricane track and intensity simulations through improved representations of the surface wind fields, hurricane inner-core structures, and surface fluxes. The assimilation of the superobbed CYGNSS data seems to be more effective in improving hurricane track forecasts than thinning the data.
• Source:
  Journal of Atmospheric and Oceanic Technology, 34(2), 375-383.
• DOI:
  https://doi.org/10.1175/jtech-d-16-0144.1
• Document Type:
  Journal Article
• Rights Information:
  Other
• Compliance:
  Submitted
• Main Document Checksum:
  urn:sha256:c829de233646a8ee0885954818a11c19872d07573e91f9967a200ca943a7084b
• Download URL:
  https://repository.library.noaa.gov/view/noaa/17684/noaa_17684_DS1.pdf
• File Type:
  [PDF - 2.08 MB ]