Impact of assimilating CYGNSS data on tropical cyclone analyses and forecasts in a regional OSSE framework

Brian McNoldy, Bachir Annane, Sharanya Majumdar, Javier Delgado, Lisa Bucci, Robert Atlas

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


The impact of assimilating ocean surface wind observations from the Cyclone Global Navigation Satellite System (CYGNSS) is examined in a high-resolution Observing System Simulation Experiment (OSSE) framework for tropical cyclones (TCs). CYGNSS is a planned National Aeronautics and Space Administration constellation of microsatellites that utilizes existing GNSS satellites to retrieve surface wind speed. In the OSSE, CYGNSS wind speed data are simulated using output from a “nature run” as truth. In a case study using the regional Hurricane Weather Research and Forecasting modeling system and the Gridpoint Statistical Interpolation data assimilation scheme, analyses of TC position, structure, and intensity, together with large-scale variables, are improved due to the assimilation of the additional surface wind data. These results indicate the potential importance of CYGNSS ocean surface wind speed data and furthermore that the assimilation of directional information would add further value to TC analyses and forecasts.

Original languageEnglish (US)
Pages (from-to)7-15
Number of pages9
JournalMarine Technology Society Journal
Issue number1
StatePublished - 2017


  • Cyclone global navigation satellite system (CYGNSS)
  • Observing system simulation experiment (OSSE)
  • Tropical cyclone

ASJC Scopus subject areas

  • Oceanography
  • Ocean Engineering


Dive into the research topics of 'Impact of assimilating CYGNSS data on tropical cyclone analyses and forecasts in a regional OSSE framework'. Together they form a unique fingerprint.

Cite this