Three-dimensional variational assimilation of MODIS aerosol optical depth: Implementation and application to a dust storm over East Asia
Assimilation of the Moderate Resolution Imaging Spectroradiometer (MODIS) total aerosol optical depth (AOD) retrieval products (at 550 nm wavelength) from both Terra and Aqua satellites have been developed within the National Centers for Environmental Prediction (NCEP) Gridpoint Statistical Interpol...
Published in: | Journal of Geophysical Research: Atmospheres |
---|---|
Other Authors: | , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
American Geophysical Union
2011
|
Subjects: | |
Online Access: | http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-010-900 https://doi.org/10.1029/2011JD016159 |
id |
ftncar:oai:drupal-site.org:articles_8861 |
---|---|
record_format |
openpolar |
spelling |
ftncar:oai:drupal-site.org:articles_8861 2023-10-01T03:49:49+02:00 Three-dimensional variational assimilation of MODIS aerosol optical depth: Implementation and application to a dust storm over East Asia Liu, Zhiquan (author) Liu, Quanhua (author) Lin, Hui-Chuan (author) Schwartz, Craig (author) Lee, Yen-huei (author) Wang, Tijian (author) 2011-12-16 application/pdf http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-010-900 https://doi.org/10.1029/2011JD016159 en eng American Geophysical Union Journal of Geophysical Research-Atmospheres http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-010-900 doi:10.1029/2011JD016159 ark:/85065/d7cn74k1 Copyright 2011 American Geophysical Union. Aerosols and particles Atmospheric Composition and Structure GSI Data assimilation Text article 2011 ftncar https://doi.org/10.1029/2011JD016159 2023-09-04T18:26:51Z Assimilation of the Moderate Resolution Imaging Spectroradiometer (MODIS) total aerosol optical depth (AOD) retrieval products (at 550 nm wavelength) from both Terra and Aqua satellites have been developed within the National Centers for Environmental Prediction (NCEP) Gridpoint Statistical Interpolation (GSI) three-dimensional variational (3DVAR) data assimilation system. This newly developed algorithm allows, in a one-step procedure, the analysis of 3-D mass concentration of 14 aerosol variables from the Goddard Chemistry Aerosol Radiation and Transport (GOCART) module. The Community Radiative Transfer Model (CRTM) was extended to calculate AOD using GOCART aerosol variables as input. Both the AOD forward model and corresponding Jacobian model were developed within the CRTM and used in the 3DVAR minimization algorithm to compute the AOD cost function and its gradient with respect to 3-D aerosol mass concentration. The impact of MODIS AOD data assimilation was demonstrated by application to a dust storm from 17 to 24 March 2010 over East Asia. The aerosol analyses initialized Weather Research and Forecasting/Chemistry (WRF/Chem) model forecasts. Results indicate that assimilating MODIS AOD substantially improves aerosol analyses and subsequent forecasts when compared to MODIS AOD, independent AOD observations from the Aerosol Robotic Network (AERONET) and Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument, and surface PM₁₀ (particulate matter with diameters less than 10 μm) observations. The newly developed AOD data assimilation system can serve as a tool to improve simulations of dust storms and general air quality analyses and forecasts. Article in Journal/Newspaper Aerosol Robotic Network OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) Journal of Geophysical Research: Atmospheres 116 D23 n/a n/a |
institution |
Open Polar |
collection |
OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) |
op_collection_id |
ftncar |
language |
English |
topic |
Aerosols and particles Atmospheric Composition and Structure GSI Data assimilation |
spellingShingle |
Aerosols and particles Atmospheric Composition and Structure GSI Data assimilation Three-dimensional variational assimilation of MODIS aerosol optical depth: Implementation and application to a dust storm over East Asia |
topic_facet |
Aerosols and particles Atmospheric Composition and Structure GSI Data assimilation |
description |
Assimilation of the Moderate Resolution Imaging Spectroradiometer (MODIS) total aerosol optical depth (AOD) retrieval products (at 550 nm wavelength) from both Terra and Aqua satellites have been developed within the National Centers for Environmental Prediction (NCEP) Gridpoint Statistical Interpolation (GSI) three-dimensional variational (3DVAR) data assimilation system. This newly developed algorithm allows, in a one-step procedure, the analysis of 3-D mass concentration of 14 aerosol variables from the Goddard Chemistry Aerosol Radiation and Transport (GOCART) module. The Community Radiative Transfer Model (CRTM) was extended to calculate AOD using GOCART aerosol variables as input. Both the AOD forward model and corresponding Jacobian model were developed within the CRTM and used in the 3DVAR minimization algorithm to compute the AOD cost function and its gradient with respect to 3-D aerosol mass concentration. The impact of MODIS AOD data assimilation was demonstrated by application to a dust storm from 17 to 24 March 2010 over East Asia. The aerosol analyses initialized Weather Research and Forecasting/Chemistry (WRF/Chem) model forecasts. Results indicate that assimilating MODIS AOD substantially improves aerosol analyses and subsequent forecasts when compared to MODIS AOD, independent AOD observations from the Aerosol Robotic Network (AERONET) and Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument, and surface PM₁₀ (particulate matter with diameters less than 10 μm) observations. The newly developed AOD data assimilation system can serve as a tool to improve simulations of dust storms and general air quality analyses and forecasts. |
author2 |
Liu, Zhiquan (author) Liu, Quanhua (author) Lin, Hui-Chuan (author) Schwartz, Craig (author) Lee, Yen-huei (author) Wang, Tijian (author) |
format |
Article in Journal/Newspaper |
title |
Three-dimensional variational assimilation of MODIS aerosol optical depth: Implementation and application to a dust storm over East Asia |
title_short |
Three-dimensional variational assimilation of MODIS aerosol optical depth: Implementation and application to a dust storm over East Asia |
title_full |
Three-dimensional variational assimilation of MODIS aerosol optical depth: Implementation and application to a dust storm over East Asia |
title_fullStr |
Three-dimensional variational assimilation of MODIS aerosol optical depth: Implementation and application to a dust storm over East Asia |
title_full_unstemmed |
Three-dimensional variational assimilation of MODIS aerosol optical depth: Implementation and application to a dust storm over East Asia |
title_sort |
three-dimensional variational assimilation of modis aerosol optical depth: implementation and application to a dust storm over east asia |
publisher |
American Geophysical Union |
publishDate |
2011 |
url |
http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-010-900 https://doi.org/10.1029/2011JD016159 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_relation |
Journal of Geophysical Research-Atmospheres http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-010-900 doi:10.1029/2011JD016159 ark:/85065/d7cn74k1 |
op_rights |
Copyright 2011 American Geophysical Union. |
op_doi |
https://doi.org/10.1029/2011JD016159 |
container_title |
Journal of Geophysical Research: Atmospheres |
container_volume |
116 |
container_issue |
D23 |
container_start_page |
n/a |
op_container_end_page |
n/a |
_version_ |
1778533046308306944 |