Determination of the single scattering labedo and direct radiative forcing of biomass burning aerosol with data from the MODIS (Moderate Resolution Imaging Spectroradiometer) satellite instrument
Biomass burning aerosols absorb and scatter solar radiation and therefore affect the energy balance of the Earth-atmosphere system. The single scattering albedo (SSA), the ratio of the scattering coefficient to the extinction coefficient, is an important parameter to describe the optical properties...
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ftunimarylandbdc:oai:server16629.contentdm.oclc.org:ETD/24820 2023-05-15T13:06:49+02:00 Determination of the single scattering labedo and direct radiative forcing of biomass burning aerosol with data from the MODIS (Moderate Resolution Imaging Spectroradiometer) satellite instrument Zhu, Li Martins, Vanderlei J Physics, Atmospheric Physics; UMBC Thesis and Dissertations 2013-01-01 application:pdf http://server16629.contentdm.oclc.org/u?/ETD,24820 en eng University of Maryland, Baltimore County (UMBC) 10823 http://server16629.contentdm.oclc.org/u?/ETD,24820 This item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please see http://library.umbc.edu/speccoll/rightsreproductions.php or contact Special Collections at speccoll(at)umbc.edu. Access limited to the UMBC community. Item may possibly be obtained via Interlibrary Loan through a local library, pending author/copyright holder's permission. Zhu_umbc_0434D_10823.pdf aerosol absorptiion aerosol radiatiev forcing biomass burning aerosols MODIS satellite instrument remote sensing vegetation surface labedo dissertation 2013 ftunimarylandbdc 2022-07-14T09:38:08Z Biomass burning aerosols absorb and scatter solar radiation and therefore affect the energy balance of the Earth-atmosphere system. The single scattering albedo (SSA), the ratio of the scattering coefficient to the extinction coefficient, is an important parameter to describe the optical properties of aerosols and to determine the effect of aerosols on the energy balance of the planet and climate. Aerosol effects on radiation also depend strongly on surface albedo. Large uncertainties remain in current estimates of radiative impacts of biomass burning aerosols, due largely to the lack of reliable measurements of aerosol and surface properties. In this work we investigate how satellite measurements can be used to estimate the direct radiative forcing of biomass burning aerosols. We developed a method using the critical reflectance technique to retrieve SSA from the Moderate Resolution Imaging Spectroradiometer (MODIS) observed reflectance at the top of the atmosphere (TOA). We evaluated MODIS retrieved SSAs with AErosol RObotic NETwork (AERONET) retrievals and found good agreements within the published uncertainty of the AERONET retrievals. We then developed an algorithm, the MODIS Enhanced Vegetation Albedo (MEVA), to improve the representations of spectral variations of vegetation surface albedo based on MODIS observations at the discrete 0.67, 0.86, 0.47, 0.55, 1.24, 1.64, and 2.12 �m channels. This algorithm is validated using laboratory measurements of the different vegetation types from the Amazon region, data from the Johns Hopkins University (JHU) spectral library, and data from the U.S. Geological Survey (USGS) digital spectral library. We show that the MEVA method can improve the accuracy of flux and aerosol forcing calculations at the TOA compared to more traditional interpolated approaches. Lastly, we combine the MODIS retrieved biomass burning aerosol SSA and the surface albedo spectrum determined from the MEVA technique to calculate TOA flux and aerosol direct radiative forcing over the Amazon ... Doctoral or Postdoctoral Thesis Aerosol Robotic Network University of Maryland, Baltimore County: UMBC Digital Collections |
institution |
Open Polar |
collection |
University of Maryland, Baltimore County: UMBC Digital Collections |
op_collection_id |
ftunimarylandbdc |
language |
English |
topic |
aerosol absorptiion aerosol radiatiev forcing biomass burning aerosols MODIS satellite instrument remote sensing vegetation surface labedo |
spellingShingle |
aerosol absorptiion aerosol radiatiev forcing biomass burning aerosols MODIS satellite instrument remote sensing vegetation surface labedo Zhu, Li Determination of the single scattering labedo and direct radiative forcing of biomass burning aerosol with data from the MODIS (Moderate Resolution Imaging Spectroradiometer) satellite instrument |
topic_facet |
aerosol absorptiion aerosol radiatiev forcing biomass burning aerosols MODIS satellite instrument remote sensing vegetation surface labedo |
description |
Biomass burning aerosols absorb and scatter solar radiation and therefore affect the energy balance of the Earth-atmosphere system. The single scattering albedo (SSA), the ratio of the scattering coefficient to the extinction coefficient, is an important parameter to describe the optical properties of aerosols and to determine the effect of aerosols on the energy balance of the planet and climate. Aerosol effects on radiation also depend strongly on surface albedo. Large uncertainties remain in current estimates of radiative impacts of biomass burning aerosols, due largely to the lack of reliable measurements of aerosol and surface properties. In this work we investigate how satellite measurements can be used to estimate the direct radiative forcing of biomass burning aerosols. We developed a method using the critical reflectance technique to retrieve SSA from the Moderate Resolution Imaging Spectroradiometer (MODIS) observed reflectance at the top of the atmosphere (TOA). We evaluated MODIS retrieved SSAs with AErosol RObotic NETwork (AERONET) retrievals and found good agreements within the published uncertainty of the AERONET retrievals. We then developed an algorithm, the MODIS Enhanced Vegetation Albedo (MEVA), to improve the representations of spectral variations of vegetation surface albedo based on MODIS observations at the discrete 0.67, 0.86, 0.47, 0.55, 1.24, 1.64, and 2.12 �m channels. This algorithm is validated using laboratory measurements of the different vegetation types from the Amazon region, data from the Johns Hopkins University (JHU) spectral library, and data from the U.S. Geological Survey (USGS) digital spectral library. We show that the MEVA method can improve the accuracy of flux and aerosol forcing calculations at the TOA compared to more traditional interpolated approaches. Lastly, we combine the MODIS retrieved biomass burning aerosol SSA and the surface albedo spectrum determined from the MEVA technique to calculate TOA flux and aerosol direct radiative forcing over the Amazon ... |
author2 |
Martins, Vanderlei J Physics, Atmospheric Physics; UMBC Thesis and Dissertations |
format |
Doctoral or Postdoctoral Thesis |
author |
Zhu, Li |
author_facet |
Zhu, Li |
author_sort |
Zhu, Li |
title |
Determination of the single scattering labedo and direct radiative forcing of biomass burning aerosol with data from the MODIS (Moderate Resolution Imaging Spectroradiometer) satellite instrument |
title_short |
Determination of the single scattering labedo and direct radiative forcing of biomass burning aerosol with data from the MODIS (Moderate Resolution Imaging Spectroradiometer) satellite instrument |
title_full |
Determination of the single scattering labedo and direct radiative forcing of biomass burning aerosol with data from the MODIS (Moderate Resolution Imaging Spectroradiometer) satellite instrument |
title_fullStr |
Determination of the single scattering labedo and direct radiative forcing of biomass burning aerosol with data from the MODIS (Moderate Resolution Imaging Spectroradiometer) satellite instrument |
title_full_unstemmed |
Determination of the single scattering labedo and direct radiative forcing of biomass burning aerosol with data from the MODIS (Moderate Resolution Imaging Spectroradiometer) satellite instrument |
title_sort |
determination of the single scattering labedo and direct radiative forcing of biomass burning aerosol with data from the modis (moderate resolution imaging spectroradiometer) satellite instrument |
publisher |
University of Maryland, Baltimore County (UMBC) |
publishDate |
2013 |
url |
http://server16629.contentdm.oclc.org/u?/ETD,24820 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Zhu_umbc_0434D_10823.pdf |
op_relation |
10823 http://server16629.contentdm.oclc.org/u?/ETD,24820 |
op_rights |
This item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please see http://library.umbc.edu/speccoll/rightsreproductions.php or contact Special Collections at speccoll(at)umbc.edu. Access limited to the UMBC community. Item may possibly be obtained via Interlibrary Loan through a local library, pending author/copyright holder's permission. |
_version_ |
1766022458771505152 |