Application of Doppler wind lidar observations to hurricane analysis and prediction

R. Atlas, J. A. Zhang, G. D. Emmitt, L. Bucci, K. Ryan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

One of the most important applications of a space-based Doppler Wind Lidar (DWL) would be to improve atmospheric analyses and weather forecasting. Since the mid-1980s, Observing System Simulation Experiments (OSSEs) have been conducted to evaluate the potential impact of space-based DWL data on numerical weather prediction (NWP). All of these OSSEs have shown significant beneficial impact on global analyses and forecasts. In more recent years, a limited number of experiments have been conducted to evaluate the potential impact of DWL data on hurricane forecasting and also to begin to evaluate the impact of real airborne DWL observations. These latest studies suggest that DWL can complement existing hurricane observations effectively and have the potential to contribute to improved hurricane track and intensity forecasting.

Original languageEnglish (US)
Title of host publicationLidar Remote Sensing for Environmental Monitoring 2017
EditorsUpendra N. Singh
PublisherSPIE
ISBN (Electronic)9781510612693
DOIs
StatePublished - 2017
EventLidar Remote Sensing for Environmental Monitoring 2017 - San Diego, United States
Duration: Aug 8 2017Aug 9 2017

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10406
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceLidar Remote Sensing for Environmental Monitoring 2017
Country/TerritoryUnited States
CitySan Diego
Period8/8/178/9/17

Keywords

  • DWL
  • hurricanes
  • OSE
  • OSSE
  • simulation experiments

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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