Estimates of remote sensing retrieval errors by the GRASP algorithm: application to ground-based observations, concept and validation

Understanding the uncertainties in the retrieval of aerosol and surface properties is very important for an adequate characterization of the processes that occur in the atmosphere. However, the reliable characterization of the error budget of the retrieval products is a very challenging aspect that...

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Bibliographic Details
Published in:Atmospheric measurement techniques 2022-10, Vol.15 (20), p.6075-6126
Main Authors: Herrera, Milagros E, Dubovik, Oleg, Torres, Benjamin, Lapyonok, Tatyana, Fuertes, David, Lopatin, Anton, Litvinov, Pavel, Chen, Cheng, Benavent-Oltra, Jose Antonio, Bali, Juan L, Ristori, Pablo R
Format: Article
Language:English
Subjects:
Aerosol optical properties
Aerosol properties
Aerosol Robotic Network
Aerosol size distribution
Aerosols
Albedo
Albedo (solar)
Algorithms
Analysis
Atmosphere
Atmospheric particulates
Biomass burning
Coefficients
Correlation
Correlation analysis
Covariance matrix
Datasets
Environmental Sciences
Error analysis
Errors
Estimates
Evaluation
Ground-based observation
Laboratories
Lidar
Lidar measurements
Mixtures
Optical analysis
Optical properties
Optical radar
Optical thickness
Optimization
Parameters
Photometers
Propagation
Refractive index
Refractivity
Remote sensing
Retrieval
Scattering
Size distribution
Statistical analysis
Sun
Surface properties
Systematic errors
Vertical profiles
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Summary:Understanding the uncertainties in the retrieval of aerosol and surface properties is very important for an adequate characterization of the processes that occur in the atmosphere. However, the reliable characterization of the error budget of the retrieval products is a very challenging aspect that currently remains not fully resolved in most remote sensing approaches. The level of uncertainties for the majority of the remote sensing products relies mostly on post-processing validations and intercomparisons with other data, while the dynamic errors are rarely provided. Therefore, implementations of fundamental approaches for generating dynamic retrieval errors and the evaluation of their practical efficiency remains of high importance.
ISSN:1867-8548
1867-1381
1867-8548
DOI:10.5194/amt-15-6075-2022