A study of the HWRF analysis and forecast impact of realistically simulated CYGNSS observations assimilated as scalar wind speeds and as VAM wind vectors

Bachir Annane, Brian Mcnoldy, S. Mark Leidner, Ross Hoffman, Robert Atlas, Sharanya J Majumdar

Research output: Contribution to journalArticle

6 Scopus citations

Abstract

In preparation for the launch of the NASA Cyclone Global Navigation Satellite System (CYGNSS), a variety of observing system simulation experiments (OSSEs) were conducted to develop, tune, and assess methods of assimilating these novel observations of ocean surface winds. From a highly detailed and realistic hurricane nature run (NR), CYGNSS winds were simulated with error characteristics that are expected to occur in reality. The OSSE system makes use of NOAA's HWRF Model and GSI data assimilation system in a configuration that was operational in 2012. CYGNSS winds were assimilated as scalar wind speeds and as wind vectors determined by a variational analysis method (VAM). Both forms of wind information had positive impacts on the short-term HWRF forecasts, as shown by key storm and domain metrics. Data assimilation cycle intervals of 1, 3, and 6 h were tested, and the 3-h impacts were consistently best. One-day forecasts from CYGNSS VAM vector winds were the most dynamically consistent with the NR. The OSSEs have a number of limitations; the most noteworthy is that this is a case study, and static background error covariances were used.

Original languageEnglish (US)
Pages (from-to)2221-2236
Number of pages16
JournalMonthly Weather Review
Volume146
Issue number7
DOIs
StatePublished - Jul 1 2018

Keywords

  • Numerical weather prediction/forecasting
  • Regional models
  • Remote sensing
  • Satellite observations
  • Surface observations

ASJC Scopus subject areas

  • Atmospheric Science

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