Observing system simulation experiments (OSSEs) to evaluate the potential impact of an optical autocovariance wind lidar (OAWL) on numerical weather prediction

Robert Atlas, Ross N. Hoffman, Zaizhong Ma, G. David Emmitt, Sidney A. Wood, Steven Greco, Sara Tucker, Lisa Bucci, Bachir Annane, R. Michael Hardesty, Shirley Murillo

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

The potential impact of Doppler wind lidar (DWL) observations from a proposed optical autocovariance wind lidar (OAWL) instrument is quantified in observing system simulation experiments (OSSEs). The OAWL design would provide profiles of useful wind vectors along a ground track to the left of the International Space Station (ISS), which is in a 51.6° inclination low-Earth orbit (LEO). These observations are simulated realistically, accounting for cloud and aerosol distributions inferred from the OSSE nature runs (NRs), and measurement and sampling error sources. The impact of the simulated observations is determined in both global and regional OSSE frameworks. The global OSSE uses the ECMWF T511 NR and the NCEP operational Global Data Assimilation System at T382 resolution. The regional OSSE uses an embedded hurricane NR and the NCEP operational HWRF data assimilation system with outer and inner domains of 9- and 3-km resolution, respectively. The global OSSE results show improved analyses and forecasts of tropical winds and extratropical geopotential heights. The tropical wind RMSEs are significantly reduced in the analyses and in short-term forecasts. The tropical wind improvement decays as the forecasts lengthen. The regional OSSEs are limited but show some improvements in hurricane track and intensity forecasts.

Original languageEnglish (US)
Pages (from-to)1593-1613
Number of pages21
JournalJournal of Atmospheric and Oceanic Technology
Volume32
Issue number9
DOIs
StatePublished - 2015

Keywords

  • Data assimilation
  • Instrumentation/sensors
  • Lidars/Lidar observations
  • Numerical weather prediction/forecasting
  • Satellite observations
  • Wind profilers

ASJC Scopus subject areas

  • Ocean Engineering
  • Atmospheric Science

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