Session: Emerging Measurement Technologies, Low-Cost Sensors and Data Visualization Methods I (104th AMS Annual Meeting)

Thursday, 1 February 2024: 3:00 PM-4:30 PM

Hall E (The Baltimore Convention Center)

Host: 24th Symposium on Meteorological Observation and Instrumentation

Advances in all aspects of technology means that new and novel methods of atmospheric measurement are constantly being tested and implemented. The aim of this session is to highlight emerging and innovative observing technologies, including in-situ, airborne-based, balloon-based, and unmanned systems. Also of interest are low-cost sensor solutions and methodologies for effective utilization of such sensors deployed in dense networks. Similarly, the session seeks to highlight new and interesting ways to visualize measurement data.

Papers:

878

Assessment of Aerosol Absorption/Scattering via a PM10 Air Quality Sensor, a PM2.5 Nano-aerosol Particle Counter, and an Atmospheric Radiative Transfer Model

Halley Turner, Air Force Institute of Technology (AFIT), Wright-Patterson, OH; and D. Haegele, L. Slabaugh, S. T. Fiorino, K. Keefer, and J. Schmidt

879

Utilizing the MQ-4 to Detect Airborne Methane: Employing Low-Cost Sensors to Track Methane Via Scientific Balloon Payloads

Ainsley Giles, University of Maryland - College Park, Lutherville Timonium, MD; and M. L. Bowden

880

Identification of Planetary Boundary Layer (PBL) Regimes Using a Flexible, Multi-Sensor Deep Learning Algorithm

Alexander E Kotsakis, NASA Goddard Space Flight Center, Greenbelt, MD; University of Maryland, College Park, MD; and A. Gambacorta, J. MacKinnon, K. Christian, M. Kacenelenbogen, E. P. Nowottnick, J. Piepmeier, R. Kroodsma, J. A. Santanello Jr., W. G. Blumberg, PhD, J. Blaisdell, R. Rosenberg, I. Moradi, and I. Adams

881

Persistent identifiers for research facilities and instruments: Insights and Recommendations

Matthew S. Mayernik, NSF NCAR, Boulder, CO; and G. J. Stossmeister

882

Planet Utilities - A Python Package for Efficient Processing and Analysis of PlanetScope Satellite Data

ANKUR KUMAR, THE UNIVERSITY OF ALABAMA IN HUNTSVILLE, HUNTSVILLE, AL; and U. Nair and A. Kaulfus

883

Stations Matter: How Gauge-Enhanced Gridded Precipitation Estimates Can Inform Humanitarian Decision Making and Help Vulnerable Countries Manage Extreme Events

Pete Peterson, Univ. of California, Santa Barbara, Santa Barbara, CA; and C. C. Funk, K. Payne, M. Steinson, P. A. Kucera, and L. S. Harrison

884

The Next Generation of Earth Networks Lightning Digital Signal Processor

Jeff Lapierre, AEM, Gaithersburg, MD; and Y. Zhu and E. DiGangi