Book chapter
UNL-VRTM, A Testbed for Aerosol Remote Sensing: Model Developments and Applications
Springer Series in Light Scattering, pp.1-69
Springer Series in Light Scattering, Springer International Publishing
06/30/2019
DOI: 10.1007/978-3-030-20587-4_1
Abstract
The UNL-VRTM, short for the Unified Linearized Vector Radiative Transfer Model, was specifically designed as a testbed for remote sensing of atmospheric aerosols, with additional potential for remote sensing of clouds, trace gases, and surface. It integrates analytically linearized vector radiative transfer (VLIDORT)Vector Linearized Discrete Ordinate Radiative Transfer (VLIDORT) with particulate and molecular scatterings, HITRAN spectroscopic gaseous absorption, and reflection models of land and water surfaces. Coupled with an optimal Optimal estimation (OE) facility, these components constitute a testbed tool that can simulate atmospheric remote sensing measurements from ultraviolet to thermal infrared (0.2–40 \documentclass[12pt]{minimal}
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\begin{document}$$\upmu $$\end{document}m) and assess the capacity of any current or future observation system to provide quantitative information on atmospheric composition (aerosol, cloud, and gas) and surface properties. The UNL-VRTM package is freely available to the public through http://unl-vrtm.org. Since 2014 the model has gained dozens of user groups from eight different countries, and has been applied to a number of studies in Earth surface and atmospheric remote sensing. In this chapter, we describe the physics, structure, and capabilities of UNL-VRTM, with emphasis on how its constituent modules are coupled. Capabilities of the UNL-VRTM model are reviewed and demonstrated with several applications in the spectroscopic and polarimetric remote sensing of aerosol microphysical properties. Finally, we introduce some recent and important upcoming updates to the model.
Details
- Title: Subtitle
- UNL-VRTM, A Testbed for Aerosol Remote Sensing: Model Developments and Applications
- Creators
- Xiaoguang Xu - University of Maryland, Baltimore CountyJun Wang - University of Iowa
- Resource Type
- Book chapter
- Publication Details
- Springer Series in Light Scattering, pp.1-69
- Publisher
- Springer International Publishing; Cham
- Series
- Springer Series in Light Scattering
- DOI
- 10.1007/978-3-030-20587-4_1
- eISSN
- 2509-2804
- ISSN
- 2509-2790
- Language
- English
- Date published
- 06/30/2019
- Academic Unit
- Electrical and Computer Engineering; Civil and Environmental Engineering; Physics and Astronomy; Chemical and Biochemical Engineering
- Record Identifier
- 9984573817902771
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