GRASP-ACE Summer School

27 – 31 May 2019, Granada

Platform for GRASP open source code
Get public access to the code, documentation and user assistance

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.

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GRASP OPENFollow

GRASP OPEN @GraspOpen·

9 Apr

We are pleased to announce a release of new GRASP version v0.8.2!
https://t.co/vGjH8nwGex

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GRASP OPEN @GraspOpen·

20 Aug

Thanks to #ESA support we have processed #MERIS instrument measurements. Do you want to have a look to the data? It's available here: https://t.co/gEqN9r8MP4

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GRASP OPEN @GraspOpen·

29 Jun

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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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)