MPLNET lidar data assimilation in the ECMWF MACC-II Aerosol system: Evaluation of model performances at NCU lidar station

Simone Lolli, Ellsworth J. Welton, Angela Benedetti, Luke Jones, Martin Suttie, Sheng Hsiang Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Atmospheric profiles of the optical aerosol properties through the retrieved backscattering or extinction coefficients by lidar measurements can improve drastically the MACC-II aerosol model performances on vertical dimension. Currently the MODIS Aerosol Optical Depth data (both from Terra and Aqua) are assimilated into the model. Being a columnintegrated quantity, these data do not modify the model aerosol vertical profile, especially if the aerosols are not interactive with the meteorology. Since 1999, the MPLNET lidar network provides continuously lidar data measurements from worldwide permanent stations (currently 21), deployed from the Arctic to the Antarctic regions and in tropical and equatorial zones. The purpose of this study is to show the first preliminary results of the intercomparison of MPLNET lidar data against the ECWMF MACC-II aerosol model, for a selected MPLNET permanent observational site at National Central University of Taiwan. Assessing the model performances it is the first step for future near-real time lidar data assimilation into MACC-II aerosol model forecast.

Original languageEnglish
Title of host publicationLidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing X
EditorsGelsomina Pappalardo, Upendra N. Singh
PublisherSPIE
ISBN (Electronic)9781628413069
DOIs
StatePublished - 2014
EventLidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing X - Amsterdam, Netherlands
Duration: 22 Sep 201424 Sep 2014

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9246
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceLidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing X
Country/TerritoryNetherlands
CityAmsterdam
Period22/09/1424/09/14

Keywords

  • Aerosol model
  • Data assimilation
  • Lidar
  • MPLNET
  • Macc-II

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