Remote sensing of aerosols, clouds and trace gases using synergy of AATSR, MERIS, and SCIAMACHY onboard ENVISAT

要研究与气候变化有关的微量气体丰度的长期趋势，需要精确的卫星检索算法。该项目的主要目的是开发改进的气溶胶和云检索算法，以获得更准确的SCIAMACHY微量气体检索。这些结果将有助于更好地了解气溶胶和云的性质及其在全球范围内的变化。这将通过利用欧洲空间局（ESA）于2002年3月1日发射的环境卫星（ENVISAT）上光学仪器的协同数据来实现。将使用先进的沿轨扫描辐射计（AATSR）、中分辨率成像光谱仪（MERIS）和SCIAMACHY的数据，它们都测量相同的地面场景。这三种仪器继续保持着优异的性能，并已经产生了五年多的数据。与单一仪器相比，这些具有不同空间分辨率、观测模式、光谱分辨率和光谱带的光学仪器的综合数据可以更好地表征气溶胶、云和微量气体的特性。在本项目中，将遵循一种新的基于扩展真实模拟卫星场景的验证和测试策略。

Accurate satellite retrieval algorithms are needed to study long–term trends in trace gas abundances related to climate change. The main aim of this project is to develop improved aerosol and cloud retrieval algorithms in order to get more accurate SCIAMACHY trace gas retrievals. The results will contribute to a better understanding of aerosol and cloud properties and their changes on a global scale. This will be achieved by utilising the synergetic data from the optical instruments onboard ENVIronmental SATellite (ENVISAT), launched by the European Space Agency (ESA) on March 1st, 2002. The data of Advanced Along-Track Scanning Radiometer (AATSR), Medium Resolution Imaging Spectrometer (MERIS), and SCIAMACHY, all of which measure the same ground scene, will be used. The three instruments continue to have excellent performance and have already generated more than five years of data. Compared to just one single instrument, combined data from these optical instruments having different spatial resolutions, observation modes, spectral resolutions and spectral bands characterize aerosol, cloud, and trace gas properties to a much better degree. In this project, a new validation and testing strategy based on extended realistic simulated satellite scenes will be followed.