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Retrieval of Atmospheric Parameters from Spectroscopic Observations using DOAS Instruments - RAPSODI

Retrieval of Atmospheric Parameters from Spectroscopic Observations using DOAS Instruments - RAPSODI
使用 DOAS 仪器从光谱观测中检索大气参数 - RAPSODI
批准号:
272342164
负责人:
Professor Dr. Ulrich Platt
金额:
$0.0万
依托单位:
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2015
资助国家:
德国
项目状态:
已结题
起止时间:
2014-12-31 至 2019-12-31

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中文摘要
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英文摘要
The Earth s atmosphere is governed by complex chemical and dynamical processes, and a detailed knowledge of the vertical distribution of trace gases and aerosols is crucial for a thorough understanding of the atmospheric system. Remote sensing measurements are ideally suited for the determination of the vertical structure of the atmosphere. Ground-based, airborne and satellite borne remote sensing measurements provide a contact free method to measure the atmospheric composition from a distance. In particular, Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) represents versatile and cost effective method for the observation of the vertical distribution of a variety of trace gases and of aerosols. In the framework of the proposed project, a novel retrieval algorithm will be developed, which will allow for a thorough exploitation of the information contained in MAX-DOAS measurements of scattered and direct sunlight. In contrast to existing algorithms, DOAS analysis and profile retrieval will be performed in a single step. This simultaneous retrieval of vertical profiles of aerosols and trace gases directly from the measured spectral radiances is expected to lead to a significant increase in the overall information content. Additional information on the state of the atmosphere will be gained from a simulation of the broadband spectral structure, which has so far been ignored in traditional DOAS applications, and from an explicit modelling of rotational Raman scattering (Ring effect). A T-Matrix and/or Mie model coupled to a radiative transfer model will allow for a retrieval of aerosol microphysical properties, such as size distribution and complex refractive index, from solar almucantar measurements, similar to existing algorithms for Aeronet sun photometer measurements. This algorithm will serve as the basis for a thorough assessment of the overall information content of MAX-DOAS measurements with respect to trace gases, aerosol extinction and aerosol microphysical properties. Measurements by a novel Polarimetric MAX-DOAS (PMAX-DOAS) instrument, which will be designed and built in the scope of this project, will yield a further enhancement of the information content of scattered light measurements. Skylight measurements at different orientations of a rotatable polarising filter will allow for the reconstruction of the Stokes vector. Polarisation-dependent measurements of the intensity, trace gas column and Ring effect will significantly increase the accuracy of aerosol and trace gas retrievals. In order to fully exploit information content of the PMAX-DOAS, the retrieval algorithm will be based on a vectorised radiative transfer model, which enables the simulation of the full Stokes vector.
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Quantitative Study of SO2 and Reactive Halogen Chemistry in Volcanic Plumes by Imaging with a Novel Fabry-Pérot Camera Technique
  • 批准号:
    399112922
  • 项目类别:
    Research Grants
  • 资助金额:
    $0.0万
  • 财政年份:
    2018
  • 负责人:
    Professor Dr. Ulrich Platt
  • 依托单位:
Measurements of volcanic Sulfur and Carbon Emissions at high temporal Resolution
  • 批准号:
    386938914
  • 项目类别:
    Research Grants
  • 资助金额:
    $0.0万
  • 财政年份:
    2017
  • 负责人:
    Professor Dr. Ulrich Platt
  • 依托单位:
Observing the two- and three- dimensional distributions of trace gases with the Heidelberger Airborne Imaging DOAS Instrument (HAIDI) on board HALO during the phase II mission EMerGe
  • 批准号:
    316822355
  • 项目类别:
    Infrastructure Priority Programmes
  • 资助金额:
    $0.0万
  • 财政年份:
    2016
  • 负责人:
    Professor Dr. Ulrich Platt
  • 依托单位:
Ground based and airborne in-situ Measurements of volcanic Carbon and Sulfur Emissions at high temporal Resolution
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