Inferring Radiative Fluxes from a New Generation of Satellites: Model Updates

In this study an inference scheme is developed to derive surface, Top of the Atmosphere (TOA), and atmospheric spectral shortwave (SW) radiative fluxes for implementation with observations from the Moderate Resolution Imaging Spectroradiometer (MODIS) type of sensors. The model takes into account al...

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Bibliographic Details
Main Author: Wang, Hengmao
Other Authors: Pinker, Rachel T., Digital Repository at the University of Maryland, University of Maryland (College Park, Md.), Atmospheric and Oceanic Sciences
Format: Doctoral or Postdoctoral Thesis
Language:English
Published: 2007
Subjects:
Online Access:http://hdl.handle.net/1903/7356
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spelling ftunivmaryland:oai:drum.lib.umd.edu:1903/7356 2023-05-15T13:38:51+02:00 Inferring Radiative Fluxes from a New Generation of Satellites: Model Updates Wang, Hengmao Pinker, Rachel T. Digital Repository at the University of Maryland University of Maryland (College Park, Md.) Atmospheric and Oceanic Sciences 2007-08-05 5699082 bytes application/pdf http://hdl.handle.net/1903/7356 en_US eng http://hdl.handle.net/1903/7356 Atmospheric Sciences Atmosphric Science shortwave radiative flux MODIS New generation of satelllite Dissertation 2007 ftunivmaryland 2022-11-11T11:13:15Z In this study an inference scheme is developed to derive surface, Top of the Atmosphere (TOA), and atmospheric spectral shortwave (SW) radiative fluxes for implementation with observations from the Moderate Resolution Imaging Spectroradiometer (MODIS) type of sensors. The model takes into account all atmospheric constituents and addresses the characteristics of water and ice clouds and the variation of cloud particle effective radius. The near infrared spectrum is divided into three bands to better represent the spectral variation of cloud optical properties and water vapor absorption. A multi-layered structure allows for the treatment of surface elevation effects and for the representation of the vertical distribution of the radiative fluxes. Spectral fluxes such as Photosynthetically Active Radiation (PAR) and near-infrared radiation (NIR) are also estimated. The new inference scheme is implemented with MODIS one degree products as well as with the 5 km swath products. The derived fluxes are evaluated against the globally distributed Baseline Radiation Network (BSRN) measurements and compared with products from independent satellites. It was demonstrated that the MODIS products are in good agreement with ground observations and provide improved estimates of radiative fluxes than the other evaluated satellite products. In problematic areas for most satellite retrievals, such as the Tibet Plateau and Antarctica, the MODIS results have shown a substantial improvement. Availability of the high resolution swath based estimates of surface radiative fluxes allow, for the first time, to address unique space-time coupling issues. Doctoral or Postdoctoral Thesis Antarc* Antarctica University of Maryland: Digital Repository (DRUM)
institution Open Polar
collection University of Maryland: Digital Repository (DRUM)
op_collection_id ftunivmaryland
language English
topic Atmospheric Sciences
Atmosphric Science
shortwave radiative flux
MODIS
New generation of satelllite
spellingShingle Atmospheric Sciences
Atmosphric Science
shortwave radiative flux
MODIS
New generation of satelllite
Wang, Hengmao
Inferring Radiative Fluxes from a New Generation of Satellites: Model Updates
topic_facet Atmospheric Sciences
Atmosphric Science
shortwave radiative flux
MODIS
New generation of satelllite
description In this study an inference scheme is developed to derive surface, Top of the Atmosphere (TOA), and atmospheric spectral shortwave (SW) radiative fluxes for implementation with observations from the Moderate Resolution Imaging Spectroradiometer (MODIS) type of sensors. The model takes into account all atmospheric constituents and addresses the characteristics of water and ice clouds and the variation of cloud particle effective radius. The near infrared spectrum is divided into three bands to better represent the spectral variation of cloud optical properties and water vapor absorption. A multi-layered structure allows for the treatment of surface elevation effects and for the representation of the vertical distribution of the radiative fluxes. Spectral fluxes such as Photosynthetically Active Radiation (PAR) and near-infrared radiation (NIR) are also estimated. The new inference scheme is implemented with MODIS one degree products as well as with the 5 km swath products. The derived fluxes are evaluated against the globally distributed Baseline Radiation Network (BSRN) measurements and compared with products from independent satellites. It was demonstrated that the MODIS products are in good agreement with ground observations and provide improved estimates of radiative fluxes than the other evaluated satellite products. In problematic areas for most satellite retrievals, such as the Tibet Plateau and Antarctica, the MODIS results have shown a substantial improvement. Availability of the high resolution swath based estimates of surface radiative fluxes allow, for the first time, to address unique space-time coupling issues.
author2 Pinker, Rachel T.
Digital Repository at the University of Maryland
University of Maryland (College Park, Md.)
Atmospheric and Oceanic Sciences
format Doctoral or Postdoctoral Thesis
author Wang, Hengmao
author_facet Wang, Hengmao
author_sort Wang, Hengmao
title Inferring Radiative Fluxes from a New Generation of Satellites: Model Updates
title_short Inferring Radiative Fluxes from a New Generation of Satellites: Model Updates
title_full Inferring Radiative Fluxes from a New Generation of Satellites: Model Updates
title_fullStr Inferring Radiative Fluxes from a New Generation of Satellites: Model Updates
title_full_unstemmed Inferring Radiative Fluxes from a New Generation of Satellites: Model Updates
title_sort inferring radiative fluxes from a new generation of satellites: model updates
publishDate 2007
url http://hdl.handle.net/1903/7356
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_relation http://hdl.handle.net/1903/7356
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