Aerosol retrieval over snow using the RemoTAP algorithm

In order to conduct accurate aerosol retrieval over snow, the Remote Sensing of Trace Gases and Aerosol Products (RemoTAP) algorithm developed by SRON Netherlands Institute for Space Research is extended with a bi-directional reflection distribution function (BRDF) for snow surfaces. The capability...

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Published in:Atmospheric Measurement Techniques
Main Authors: Z. Zhang, G. Fu, O. Hasekamp
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2023
Subjects:
Online Access:https://doi.org/10.5194/amt-16-6051-2023
https://doaj.org/article/8b6b631d6f2041be95f01ceffc31faca
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author Z. Zhang
G. Fu
O. Hasekamp
author_facet Z. Zhang
G. Fu
O. Hasekamp
author_sort Z. Zhang
collection Directory of Open Access Journals: DOAJ Articles
container_issue 24
container_start_page 6051
container_title Atmospheric Measurement Techniques
container_volume 16
description In order to conduct accurate aerosol retrieval over snow, the Remote Sensing of Trace Gases and Aerosol Products (RemoTAP) algorithm developed by SRON Netherlands Institute for Space Research is extended with a bi-directional reflection distribution function (BRDF) for snow surfaces. The capability of the extended algorithm is validated with both synthetic measurements and real satellite measurements from the Polarization & Anisotropy of Reflectances for Atmospheric Sciences coupled with Observations from a Lidar (PARASOL), and a comparison has been made to retrievals with the baseline RemoTAP (without a snow kernel). For retrievals with real PARASOL observations, we use pixels over Aerosol Robotic Network (AERONET) stations for validation and we use the MODIS snow cover products to identify pixels over snow. We evaluate the retrieved aerosol optical thickness (AOT) at 550 nm ( τ 550 ) , single-scattering albedo (SSA) at 550 nm ( ω 550 ) and Ångström exponent (AE) for 440–870 nm ( AE 440−870 ) . The experiments with both synthetic and real data show that the extended RemoTAP maintains capability for snow-free pixels and has obvious advantages in accuracy and the fraction of successful retrievals for retrieval over snow, especially over surfaces with snow cover >75 %. According to the real-data experiment, we find that the retrieval algorithm has difficulty in fitting the PARASOL 1020 nm band, where snow reflectance is significantly lower than that for the visible bands. When we perform a four-band retrieval (490, 565, 670, 865 nm) with the extended RemoTAP, we obtain a good retrieval result for τ 550 , ω 550 and AE 440−870 . Therefore, the four-band retrieval with the extended RemoTAP is recommended for aerosol retrieval over snow.
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spelling ftdoajarticles:oai:doaj.org/article:8b6b631d6f2041be95f01ceffc31faca 2025-01-16T18:38:45+00:00 Aerosol retrieval over snow using the RemoTAP algorithm Z. Zhang G. Fu O. Hasekamp 2023-12-01T00:00:00Z https://doi.org/10.5194/amt-16-6051-2023 https://doaj.org/article/8b6b631d6f2041be95f01ceffc31faca EN eng Copernicus Publications https://amt.copernicus.org/articles/16/6051/2023/amt-16-6051-2023.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-16-6051-2023 1867-1381 1867-8548 https://doaj.org/article/8b6b631d6f2041be95f01ceffc31faca Atmospheric Measurement Techniques, Vol 16, Pp 6051-6063 (2023) Environmental engineering TA170-171 Earthwork. Foundations TA715-787 article 2023 ftdoajarticles https://doi.org/10.5194/amt-16-6051-2023 2023-12-24T01:44:44Z In order to conduct accurate aerosol retrieval over snow, the Remote Sensing of Trace Gases and Aerosol Products (RemoTAP) algorithm developed by SRON Netherlands Institute for Space Research is extended with a bi-directional reflection distribution function (BRDF) for snow surfaces. The capability of the extended algorithm is validated with both synthetic measurements and real satellite measurements from the Polarization & Anisotropy of Reflectances for Atmospheric Sciences coupled with Observations from a Lidar (PARASOL), and a comparison has been made to retrievals with the baseline RemoTAP (without a snow kernel). For retrievals with real PARASOL observations, we use pixels over Aerosol Robotic Network (AERONET) stations for validation and we use the MODIS snow cover products to identify pixels over snow. We evaluate the retrieved aerosol optical thickness (AOT) at 550 nm ( τ 550 ) , single-scattering albedo (SSA) at 550 nm ( ω 550 ) and Ångström exponent (AE) for 440–870 nm ( AE 440−870 ) . The experiments with both synthetic and real data show that the extended RemoTAP maintains capability for snow-free pixels and has obvious advantages in accuracy and the fraction of successful retrievals for retrieval over snow, especially over surfaces with snow cover >75 %. According to the real-data experiment, we find that the retrieval algorithm has difficulty in fitting the PARASOL 1020 nm band, where snow reflectance is significantly lower than that for the visible bands. When we perform a four-band retrieval (490, 565, 670, 865 nm) with the extended RemoTAP, we obtain a good retrieval result for τ 550 , ω 550 and AE 440−870 . Therefore, the four-band retrieval with the extended RemoTAP is recommended for aerosol retrieval over snow. Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Atmospheric Measurement Techniques 16 24 6051 6063
spellingShingle Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
Z. Zhang
G. Fu
O. Hasekamp
Aerosol retrieval over snow using the RemoTAP algorithm
title Aerosol retrieval over snow using the RemoTAP algorithm
title_full Aerosol retrieval over snow using the RemoTAP algorithm
title_fullStr Aerosol retrieval over snow using the RemoTAP algorithm
title_full_unstemmed Aerosol retrieval over snow using the RemoTAP algorithm
title_short Aerosol retrieval over snow using the RemoTAP algorithm
title_sort aerosol retrieval over snow using the remotap algorithm
topic Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
topic_facet Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
url https://doi.org/10.5194/amt-16-6051-2023
https://doaj.org/article/8b6b631d6f2041be95f01ceffc31faca