Publications by authors named "R Ferrare"
Article Synopsis
- Researchers developed a look-up table to enhance the speed of calculating light scattering from water droplets in the atmosphere, achieving up to a 10x increase in computational efficiency.
- The table accounts for a wide range of particle sizes (0.001-500 µm) and complex refractive indices, enabling accurate computations for various aerosol, cloud, and ocean measurements.
- It includes codes in multiple programming languages (C++, Fortran, MATLAB, Python) for easy access and application alongside real-world data and remote sensing validation.
Improved characterization of ambient PM mass concentration and chemical speciation is a topic of interest in air quality and climate sciences. Over the past decades, considerable efforts have been made to improve ground-level PM using remotely sensed data. Here we present two new approaches for estimating atmospheric PM and chemical composition based on the High Spectral Resolution Lidar (HSRL)-retrieved aerosol extinction values and types and Creating Aerosol Types from Chemistry (CATCH)-derived aerosol chemical composition.
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- The Western North Atlantic Ocean (WNAO) has been a key focus of atmospheric research due to its unique accessibility and variety of meteorological conditions, yielding diverse findings that are not yet fully understood.
- Over 50 research campaigns and numerous publications from 1946 to 2019 have established a solid knowledge base, particularly from the island of Bermuda, which offers valuable long-term data on oceanic and atmospheric variables.
- The review categorizes WNAO research into eight main areas, with recommendations for future studies aimed at improving understanding in these categories, notably aerosols and gas interactions.
To improve our understanding of the complex role of aerosols in the climate system and on air quality, measurements are needed of optical and microphysical aerosol. From many studies, it has become evident that a satellite-based multiangle, multiwavelength polarimeter will be essential to provide such measurements. Here, high accuracy (∼0.
View Article and Find Full Text PDFWe evaluate the retrieval performance of the automated, unsupervised inversion algorithm, Tikhonov Advanced Regularization Algorithm (TiARA), which is used for the autonomous retrieval of microphysical parameters of anthropogenic and natural pollution particles. TiARA (version 1.0) has been developed in the past 10 years and builds on the legacy of a data-operator-controlled inversion algorithm used since 1998 for the analysis of data from multiwavelength Raman lidar.
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