Patrick Selmer
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View article: A Deep Learning Approach to Lidar Signal Denoising and Atmospheric Feature Detection
A Deep Learning Approach to Lidar Signal Denoising and Atmospheric Feature Detection Open
Laser-based remote sensing (lidar) is a proven technique for detecting atmospheric features such as clouds and aerosols as well as for determining their vertical distribution with high accuracy. Even simple elastic backscatter lidars can d…
View article: Using Multitask Machine Learning to Type Clouds and Aerosols from Space-Based Photon-Counting Lidar Measurements
Using Multitask Machine Learning to Type Clouds and Aerosols from Space-Based Photon-Counting Lidar Measurements Open
Space-based, photon-counting lidar instruments are effective tools for observing cloud and aerosol layers in the atmosphere. Cloud phases and several different kinds of aerosols are presently identified and typed using sophisticated, fine-…
View article: Global Aerosol Climatology from ICESat-2 Lidar Observations
Global Aerosol Climatology from ICESat-2 Lidar Observations Open
This study presents a global aerosol climatology derived from six years (October 2018–October 2024) of the Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) observations, using a U-Net Convolutional Neural Network (CNN) machine learnin…
View article: Statistically Resolved Planetary Boundary Layer Height Diurnal Variability Using Spaceborne Lidar Data
Statistically Resolved Planetary Boundary Layer Height Diurnal Variability Using Spaceborne Lidar Data Open
The Planetary Boundary Layer Height (PBLH) significantly impacts weather, climate, and air quality. Understanding the global diurnal variation of the PBLH is particularly challenging due to the necessity of extensive observations and suita…
View article: A Deep Learning Lidar Denoising Approach for Improving Atmospheric Feature Detection
A Deep Learning Lidar Denoising Approach for Improving Atmospheric Feature Detection Open
Space-based atmospheric backscatter lidars provide critical information about the vertical distribution of clouds and aerosols, thereby improving our understanding of the climate system. They are additionally useful for detecting hazards t…
View article: Leveraging Deep Learning as a New Approach to Layer Detection and Cloud–Aerosol Classification Using ICESat-2 Atmospheric Data
Leveraging Deep Learning as a New Approach to Layer Detection and Cloud–Aerosol Classification Using ICESat-2 Atmospheric Data Open
NASA’s Ice, Cloud, and land Elevation Satellite (ICESat-2), designed for surface altimetry, plays a pivotal role in providing precise ice sheet elevation measurements. While its primary focus is altimetry, ICESat-2 also offers valuable atm…
View article: The ALICAT Lidar for NASA’s Atmosphere Observing System (AOS) Storm: Implications for Synergistic Diurnal Sampling of Aerosols, Clouds, and Precipitation
The ALICAT Lidar for NASA’s Atmosphere Observing System (AOS) Storm: Implications for Synergistic Diurnal Sampling of Aerosols, Clouds, and Precipitation Open
The Atmospheric Lidar for Clouds and Aerosol Transport (ALICAT) is a SmallSat elastic backscatter lidar planned to fly in NASA’s AOS-Storm orbit with an anticipated launch in early 2029 with a planned 2-year lifetime. ALICAT will pro…
View article: Cloud-Top Phase Characterization of Extratropical Cyclones over the Northeast and Midwest United States: Results from IMPACTS
Cloud-Top Phase Characterization of Extratropical Cyclones over the Northeast and Midwest United States: Results from IMPACTS Open
Cloud-top phase (CTP) impacts cloud albedo and pathways for ice particle nucleation, growth, and fallout within extratropical cyclones. This study uses airborne lidar, radar, and Rapid Refresh analysis data to characterize CTP within extra…
View article: Machine learning-enabled real-time detection of cloud and aerosol layers using airborne lidar
Machine learning-enabled real-time detection of cloud and aerosol layers using airborne lidar Open
Lidar profiling of the atmosphere provides information on existence of cloud and aerosol layers and the height and structure of those layers. Knowledge of feature boundaries is a key input to assimilation models. Moreover, identifying feat…
View article: Aerosol Detection from the Cloud–Aerosol Transport System on the International Space Station: Algorithm Overview and Implications for Diurnal Sampling
Aerosol Detection from the Cloud–Aerosol Transport System on the International Space Station: Algorithm Overview and Implications for Diurnal Sampling Open
Concentrations of particulate aerosols and their vertical placement in the atmosphere determine their interaction with the Earth system and their impact on air quality. Space-based lidar, such as the Cloud–Aerosol Transport System (CATS) t…
View article: Planetary Boundary Layer Height Estimates From ICESat-2 and CATS Backscatter Measurements
Planetary Boundary Layer Height Estimates From ICESat-2 and CATS Backscatter Measurements Open
The lowest layer of the atmosphere in which all human activity occurs is called the Planetary Boundary Layer (PBL). All physical interactions with the surface, such as heat and moisture transport, pollution dispersion and transport happen …
View article: ICESat‐2 Atmospheric Channel Description, Data Processing and First Results
ICESat‐2 Atmospheric Channel Description, Data Processing and First Results Open
The Advanced Topographic Laser Altimeter System (ATLAS) was launched aboard the Ice Cloud and land‐Elevation Satellite‐2 (ICESat‐2) satellite in September 2018. ATLAS is a single wavelength (532 nm) lidar system designed to acquire high re…
View article: Aerosol and Cloud Detection Using Machine Learning Algorithms and Space-Based Lidar Data
Aerosol and Cloud Detection Using Machine Learning Algorithms and Space-Based Lidar Data Open
Clouds and aerosols play a significant role in determining the overall atmospheric radiation budget, yet remain a key uncertainty in understanding and predicting the future climate system. In addition to their impact on the Earth’s climate…
View article: Models transport Saharan dust too low in the atmosphere: a comparison of the MetUM and CAMS forecasts with observations
Models transport Saharan dust too low in the atmosphere: a comparison of the MetUM and CAMS forecasts with observations Open
We investigate the dust forecasts from two operational global atmospheric models in comparison with in situ and remote sensing measurements obtained during the AERosol properties – Dust (AER-D) field campaign. Airborne elastic backscatter …
View article: Models transport Saharan dust too low in the atmosphere compared to observations
Models transport Saharan dust too low in the atmosphere compared to observations Open
We investigate the dust forecasts from two operational global atmospheric models in comparison with in-situ and remote sensing measurements obtained during the AERosol properties – Dust (AER-D) field campaign. Airborne elastic backscatter …
View article: Observation and quantification of aerosol outflow from southern Africa using spaceborne lidar
Observation and quantification of aerosol outflow from southern Africa using spaceborne lidar Open
Biomass burning in Africa provides a prolific source of aerosols that are transported from the source region to distant areas, as far away as South America and Australia. Models have long predicted the primary outflow and transport routes.…
View article: Cloud-Aerosol Transport System (CATS) 1064 nm calibration and validation
Cloud-Aerosol Transport System (CATS) 1064 nm calibration and validation Open
The Cloud-Aerosol Transport System (CATS) lidar on board the International Space Station (ISS) operated from 10 February 2015 to 30 October 2017 providing range-resolved vertical backscatter profiles of Earth's atmosphere at 1064 and 532 n…
View article: Cloud Aerosol Transport System (CATS) 1064 nm Calibration and Validation
Cloud Aerosol Transport System (CATS) 1064 nm Calibration and Validation Open
The Cloud-Aerosol Transport System (CATS) lidar on board the International Space Station (ISS) operated from 10 February 2015 to 30 October 2017 providing range-resolved vertical backscatter profiles of Earth’s atmosphere at 1064 and 532 n…
View article: An overview of the CATS level 1 processing algorithms and data products
An overview of the CATS level 1 processing algorithms and data products Open
The Cloud‐Aerosol Transport System (CATS) is an elastic backscatter lidar that was launched on 10 January 2015 to the International Space Station (ISS). CATS provides both space‐based technology demonstrations for future Earth Science miss…