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Measuring Distributed Emissions

The NIST Greenhouse Gas Measurements Program supports several projects to improve our ability to measure greenhouse gas emissions from mobile sources, such as cars, trucks, ships, and planes.

 

Map of Indianopolis and tower cites

Indianapolis Flux Experiment (INFLUX) – Measuring CO2 and CH4 Emissions in Indianapolis
GOAL: to develop and evaluate methods for the measurement and modeling of greenhouse gas fluxes from urban environments. Determination of greenhouse gas fluxes and uncertainty bounds is essential for the evaluation of GHG mitigation strategies.

View of Los Angeles at night from the International Space Station. Credit: NASA

Los Angeles Megacity Carbon Project – Improve Accuracy of GHG Emissions Measurements
GOAL: to reduce uncertainty by jointly improving greenhouse gas emissions data and atmospheric observations. It uses independent and accurate measurements and identifies error sources to diagnose and improve emissions data quality.

Boston
Credit: NIST

Northeast Corridor Urban Test Bed – Validate Emissions Inventory with Improved Atmospheric Measurements
GOAL: to observe emissions trends in the Washington, D.C., metropolitan areas, the project will use tower surface-based greenhouse gas observing networks coupled with aircraft observations and state-of-the-art boundary layer measurements methods.

Vulcan Data on Bayesian Gaussian Process Model for Estimating Greenhouse Gas Surface Fluxes

Bayesian Gaussian Process Model for Estimating Greenhouse Gas Surface Fluxes – (A. Possolo, Information Technology Lab)
GOAL: to formulate a Bayesian Gaussian process model that gives a rigorous, geostatistical approach to estimate the distribution of atmospheric trace gases across a city grid, based on spatial greenhouse gas measurements collected by a surface-based observation network.

INFLUX results

Adaptive Smoothing Methods for Greenhouse Gas Analysis – (D. Samarov, ITL)
GOAL: to provide interpolated values and estimates of uncertainty for various greenhouse gas emissions measurements from large urban centers and geographical regions.

Pintar

Statistical Methods for Change-Point Detection in Surface Temperature Records – (A. Pintar, ITL)
GOAL: to identify seasonality and artifacts in temperature records that affect our estimated rate of change.

The National Fire Research Laboratory (NFRL) will be used as a test bed for green house gas emissions, at near industrial-scale, for performance evaluation and calibration of  instruments used for CEMS and relative accuracy testing audits (RATA)

Greenhouse Gas Emissions and Transport – (K. Prasad, Engineering Lab)
GOAL: to develop and demonstrate a measurement capability and methodology to accurately locate greenhouse gas sources and measure their flux to the atmosphere at urban and regional scales.

ghg_test_data3_crop

 

Surrogate Gas Prediction Model as a Proxy for Δ14 C-based measurements of fossil fuel CO2 – (K. Coakley, ITL and C. Miller, NOAA)
GOAL: to develop a proxy model to predict enhancement of Δ14C in atmospheric CO2 due to fossil fuel emissions (Cff) based on inexpensive measurements of anthropogenic trace gases. If successful, apply to NOAA tower network and aircraft measurements.

 

Created December 16, 2014, Updated October 24, 2019