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GRASP is a highly accurate aerosol retrieval algorithm that processes properties of aerosol- and land-surface-reflectance. It infers nearly 50 aerosol and surface parameters including particle size distribution, the spectral index of refraction, the degree of sphericity and absorption. The algorithm is designed for the enhanced characterization of aerosol properties from spectral, multiangular polarimetric remote sensing observations. GRASP works under different conditions, including bright surfaces such as deserts, where the reflectance overwhelms the signal of aerosols. GRASP is highly versatile and allows input from a wide variety of satellite and surface measurements.

Stay tuned following our Twitter:

We announce a release of POLDER data post-processed by GRASP OPEN! Full data archive with detailed descriprion is freely available to download here: https://t.co/7XTCgYgPfN

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New version is out! We have added support for latest versions of compilers, and Superlu5. Many new improvements for lidar retrieval and like always, hundreds of minor details and improvements! Keep GRASP alive! https://t.co/vGjH8nwGex

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GRASP Code

Download the GRASP-code, install it and run it for a large number of different aerosol measurements. Signup for the latest version of GRASP-code: stable, fast and easy to use.

Code Documentation

Complete documentation about the code, API and features of GRASP.

GRASP is a highly accurate aerosol retrieval algorithm.

It processes properties of aerosol- and land-surface-reflectance.

What is the GRASP Algorithm?

GRASP (Generalized Retrieval of Aerosol and Surface Properties) is the first unified algorithm to be developed for characterizing atmospheric properties gathered from a variety of remote sensing observations
(Dubovik, O. et al., 2014, GRASP: a versatile algorithm for characterizing the atmosphere, SPIE Newsroom. DOI: 10.1117/2.1201408.005558, doi: http://spie.org/x109993.xml)

What are Aerosols?

What are the sources of aerosols and what effects do they have?

Interested in GRASP Algorithm

Acknowledgement