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Ronald Cohen
University of California BerkeleyMeeting roles in:
Low-Cost Air Quality Sensors: Challenges, Opportunities, and Collaborative Strategies Across the World I Oral
Observational Inferences of NOx and CO Emission Factors in Cities Using Dense Urban Monitoring Networks
Low-Cost Air Quality Sensors: Challenges, Opportunities, and Collaborative Strategies Across the World II Poster
The BEACO2N International Collaboration
Towards Accelerated CO2 Inversion Modeling for Understanding Uncertainties through Multicore Processing and a Reusable Code Base
A New Era of Air Quality Monitoring from Space over North America with TEMPO: Mission Status from First Two Years in Orbit
Towards a neighborhood scale, community accessible model of air quality
Development of a Machine Learning Benchmark for Inferring CO2 Emissions de-novo From Measurements of a Real-Time Sensor Network
A Gradient Preserving Retrieval Reduces Systematic Bias in TEMPO NO2
Using Network Observations to Constrain CO and CO2 Emissions from an Oil Refinery in the San Francisco Bay Area
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