Javascript must be enabled to continue!
New developments on SPEXone aerosol products on the NASA PACE mission
View through CrossRef
We present the latest developments in SPEXone aerosol products. Firstly, the RemoTAP-Hybrid algorithm is developed, combining Multiple Collaborated Neural Networks (MCNN) with a full physics inversion. RemoTAP-Hybrid improves SPEXone global aerosol retrievals regarding accuracy and speed. Secondly, following an analysis on AERONET data, we extend the aerosol description to a parametric 4 mode by adding a fine non-spherical mode, in addition to a fine spherical, coarse non-spherical, and coarse spherical mode. The new aerosol description extends retrieval capability for scenes dominated with non-spherical fine particles. Thirdly, higher level products are developed for aerosol composition (black carbon, brown carbon, dust, fine/coarse water/non-absorbing components, fine non-spherical non-absorbing component) based on the retrieved complex refractive index and aerosol volume per mode. We will present the global and seasonal distribution of chemical composition and aerosol microphysics retrieved from SPEXone.We validate the retrieved aerosol properties with AERONET data for AOD, Angstrom Exponent, absorption AOD, and SSA, showing unprecedented accuracy. The RMSE for AOD is 0.051 (0.037) over land (ocean), and 78.3% (80.8%) of the AOD retrievals are within the Global Climate Observing System (GCOS) requirement. The RMSE for Angstrom Exponent is 0.186 (0.207), for absorption AOD is 0.023 (0.014), and for SSA is 0.038 (0.044) over land (ocean). Finally, we present our latest results on aerosol retrievals above cloud from SPEXone.
Title: New developments on SPEXone aerosol products on the NASA PACE mission
Description:
We present the latest developments in SPEXone aerosol products.
Firstly, the RemoTAP-Hybrid algorithm is developed, combining Multiple Collaborated Neural Networks (MCNN) with a full physics inversion.
RemoTAP-Hybrid improves SPEXone global aerosol retrievals regarding accuracy and speed.
Secondly, following an analysis on AERONET data, we extend the aerosol description to a parametric 4 mode by adding a fine non-spherical mode, in addition to a fine spherical, coarse non-spherical, and coarse spherical mode.
The new aerosol description extends retrieval capability for scenes dominated with non-spherical fine particles.
Thirdly, higher level products are developed for aerosol composition (black carbon, brown carbon, dust, fine/coarse water/non-absorbing components, fine non-spherical non-absorbing component) based on the retrieved complex refractive index and aerosol volume per mode.
We will present the global and seasonal distribution of chemical composition and aerosol microphysics retrieved from SPEXone.
We validate the retrieved aerosol properties with AERONET data for AOD, Angstrom Exponent, absorption AOD, and SSA, showing unprecedented accuracy.
The RMSE for AOD is 0.
051 (0.
037) over land (ocean), and 78.
3% (80.
8%) of the AOD retrievals are within the Global Climate Observing System (GCOS) requirement.
The RMSE for Angstrom Exponent is 0.
186 (0.
207), for absorption AOD is 0.
023 (0.
014), and for SSA is 0.
038 (0.
044) over land (ocean).
Finally, we present our latest results on aerosol retrievals above cloud from SPEXone.
Related Results
Polarimetric Remote Sensing of atmospheric aerosols: The first year of SPEXone PACE
Polarimetric Remote Sensing of atmospheric aerosols: The first year of SPEXone PACE
On February 8, 2024 the NASA Plankton, Aerosol, Cloud & ocean Ecosystem (PACE) mission has been launched with onboard the SPEXone Multi-Angle Polarimeter. SPEXone is design...
Evaluation of new polarimetric products
Evaluation of new polarimetric products
The new satellite missions including active sensors (e.g. EarthCare), passive multi-angular polarimeters (e.g. PACE/SPEXone, PACE/HARP-2) and single-viewing instruments (e.g. OLCI)...
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 ...
Estimation of Cloud Condensation Nuclei (CCN) from SPEXone on PACE using a neural network retrieval algorithm: Comparison to AERONET and ATLID/EarthCARE
Estimation of Cloud Condensation Nuclei (CCN) from SPEXone on PACE using a neural network retrieval algorithm: Comparison to AERONET and ATLID/EarthCARE
Cloud condensation nuclei (CCN) play a critical role in aerosol–cloud interactions (ACI).  It has been shown that the column number of aerosol particles exceeding a predetermined t...
Aerosol emission estimation using SPEXone observational capabilities and Observing System Simulation Experiments (OSSEs) 
Aerosol emission estimation using SPEXone observational capabilities and Observing System Simulation Experiments (OSSEs) 
<p>A top-down approach for aerosol emission estimation from polarimetric retrievals of aerosol amount, size, and absorption is employed . The method uses a fixed-lag ...
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 ...
Experimental studies on cloud condensation nuclei activation and cloud microphysical properties
Experimental studies on cloud condensation nuclei activation and cloud microphysical properties
Atmospheric aerosol particles have the ability to affect climate through cloud interactions and direct scattering and absorption of radiation. These aerosol particles can also affe...
First Retrievals of Cloud Condensation 1 Nuclei (CCN) Proxies from PACE/SPEXone: Validation and Global Distribution
First Retrievals of Cloud Condensation 1 Nuclei (CCN) Proxies from PACE/SPEXone: Validation and Global Distribution
Cloud condensation nuclei (CCN) are critical for understanding aerosol-cloud interactions (ACI), yet the scarcity of direct CCN measurements limits global characterization. This st...

