Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Aerosol retrieval over snow using RemoTAP

View through CrossRef
Abstract. 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 PARASOL and a comparison has been made to retrievals with the baseline RemoTAP (without snow kernel). For retrievals on real PARASOL observations, we use pixels over 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 (????550), single-scattering albedo (SSA) at 550 nm (????550), and Angstrom exponent (AE) for 440 nm – 870 nm (AE440−870). Both the experiments with synthetic- and real data show that the extended RemoTAP maintains capability on snow-free pixels and has obvious advantages on accuracy and 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 4-band retrieval (490 nm, 565 nm, 670 nm, 865 nm) with the extended RemoTAP, we obtain a good retrieval result for ????550, ????550 and AE440−870. Therefore, the 4-band retrieval with the extended RemoTAP is recommended for aerosol retrieval over snow.
Title: Aerosol retrieval over snow using RemoTAP
Description:
Abstract.
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 PARASOL and a comparison has been made to retrievals with the baseline RemoTAP (without snow kernel).
For retrievals on real PARASOL observations, we use pixels over 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 (????550), single-scattering albedo (SSA) at 550 nm (????550), and Angstrom exponent (AE) for 440 nm – 870 nm (AE440−870).
Both the experiments with synthetic- and real data show that the extended RemoTAP maintains capability on snow-free pixels and has obvious advantages on accuracy and 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 4-band retrieval (490 nm, 565 nm, 670 nm, 865 nm) with the extended RemoTAP, we obtain a good retrieval result for ????550, ????550 and AE440−870.
Therefore, the 4-band retrieval with the extended RemoTAP is recommended for aerosol retrieval over snow.

Related Results

Algorithm evaluation for Polarimetric Remote Sensing of Atmospheric Aerosols
Algorithm evaluation for Polarimetric Remote Sensing of Atmospheric Aerosols
Abstract. From a passive satellite remote sensing point-of-view, the richest set of information on aerosol properties can be obtained from instruments that measure both intensity a...
Aerosol retrieval over snow using the RemoTAP algorithm
Aerosol retrieval over snow using the RemoTAP algorithm
Abstract. In order to conduct accurate aerosol retrieval over snow, the Remote Sensing of Trace Gases and Aerosol Products (RemoTAP) algorithm developed by SRON Netherlands Institu...
Advanced Aerosol Retrievals with RemoTAP and PARASOL: Enhancing Understanding of Aerosol-Cloud Interactions
Advanced Aerosol Retrievals with RemoTAP and PARASOL: Enhancing Understanding of Aerosol-Cloud Interactions
The precise retrieval of aerosol properties from satellite data is pivotal for advancing our understanding of their impacts on climate and air quality. The RemoTAP (Remote Sensing ...
Influence of cohesion on drifting snow investigated in cold wind-tunnel 
Influence of cohesion on drifting snow investigated in cold wind-tunnel 
<p>Aeolian transport of particles occurs in many geophysical contexts such as wind-blown sand or snow drift and is governed by a myriad of physical mechanisms. Most o...
Estimation of Cloud Condensation Nuclei (CCN) from SPEXone on PACE using a deep neural network retrieval algorithm 
Estimation of Cloud Condensation Nuclei (CCN) from SPEXone on PACE using a deep neural network retrieval algorithm 
Proper proxies for CCN are vital to provide accurate constraints for Aerosol-Cloud Interactions (ACI) in climate models. An effective proxy for CCN is the column number of aerosol ...
Revisiting NASA's Operation IceBridge Snow on Sea Ice Radar Measurements in the Arctic
Revisiting NASA's Operation IceBridge Snow on Sea Ice Radar Measurements in the Arctic
Snow on sea ice plays a critical role in modulating ice mass changes in response to anthropogenic warming, with significant implications for ocean mixed layer processes, the surfac...
Snow representation in seasonal forecasts and climate simulations: sensitivities of seasonal snow simulation and impact on frozen soils
Snow representation in seasonal forecasts and climate simulations: sensitivities of seasonal snow simulation and impact on frozen soils
Snow cover is a critical component of the Earth's climate system, covering up to 44 % of the Northern Hemisphere's land during winter and influencing energy exchange, water storage...
Decadal Characterization of Satellite-based Aerosol Types Over Arabian Peninsula: Comprehensive Insight and General Performance
Decadal Characterization of Satellite-based Aerosol Types Over Arabian Peninsula: Comprehensive Insight and General Performance
Retrieving aerosol characteristics such as particle size, shape, and absorption properties is a big challenge in satellite-based remote sensing, mainly for the single-viewing-angle...

Back to Top