Session 3a: How Much Measurement is Enough? Challenges of sample size, detection probability, and spatiotemporal variability

Arvind Ravikumar – Co-Director, Energy Emissions Modeling and Data Lab (EEMDL), University of Texas at Austin
Value of operational data in developing measurement-informed emissions inventories

Dan Zimmerle – Director, Methane Emissions Program, Colorado State University
Unaddressed uncertainties when scaling regional aircraft emissions surveys to basin emission estimates” (watch online)

Sahil Bhandari – Climate Scientist, Environmental Defense Fund (EDF)
Capturing the spatiotemporal variability of point source emissions with limited number of surveys and sample size: Analysis of repeated flight overpass data from multi measurement campaigns” (watch online)

Matt Johnson – Scientific Director, Energy & Emissions Research Lab, Carleton University
Effects of sample size and detection probability on inferences from aerial surveys of oil and gas infrastructure” (watch online)

Session 3a Panel Discussion
“How Much Measurement is Enough? Challenges of sample size, detection probability, and spatiotemporal variability” (watch online)