Methodological components of the Indianapolis Flux Experiment (INFLUX). DOI: https://doi.org/10.1525/elementa.147.t1
Component . | Measurements/Instruments/Models . | Description/Purpose . | Data/Status . | Data archive/References . |
---|---|---|---|---|
Aircraft mass balance flights | Airborne Laboratory for Atmospherc Research (ALAR); Meteorological variables,1 continuous CO2, CH4, H2O and CO, flask samples.2 | Measure GHG mass balance across the city. Evaluate simulations of atmospheric GHGs. | 54 mass balance flights, 10 grid flights; February, 2008 – December, 2016. 350 flasks from 48 flights/Ongoing. | Shepson et al., 2017/Mays et al., 2009; Cambaliza et al., 2014, 2015; Heimburger et al, 2017. |
Automobile surveys | Continuous CO2, CH4 and CO, flask samples.2 | Surveys to identify strong point sources. Point source estimation via dispersion models. Evaluation of multi-species and isotope ratios from specific source sectors. | 500 kilometers of road data, 2012–2014. Completed. Source sector surveys, 2015./ Completed. | No public archive/Cambaliza et al., 2015; Lamb et al., 2016; Vimont et al., 2017. |
Tower-based GHG and atmospheric tracer network | Continuous CO2, CH4 and CO, flask samples.2 | Quantify urban GHG enhancement. Tower-based inverse flux estimates. | 2 to 12 tower sites, continuous operation. 1,600 flasks from 375 unique dates and 7 towers./December, 2010 – October, 2016. Ongoing. | Miles et al., 2017b/Turnbull et al., 2012, 2015; Richardson et al., 2017; Miles et al., 2017a. |
Meteorological measurements | Eddy covariance and radiative fluxes3 | Atmospheric state measurements. Atmospheric transport model assimilation and evaluation. | 4 towers with eddy covariance, 2 with radiative fluxes; 2013 to present./Ongoing. | Sarmiento et al., 2017b/Sarmiento et al., 2017a. |
Doppler lidar4 | One site, continuous, 2013 to present./Ongoing. | Brewer, 2017 | ||
Research aircraft1 | See aircraft mass balance flights, above. | See aircraft mass balance flights. | ||
Surface weather stations | 20–24 sites, continuous./Ongoing. | MADIS, 2017/Sarmiento et al., 2017a; Deng et al, 2017 | ||
Commercial aircraft5 | Indianapolis International airport, approx. 15 flights per day, continuous./Ongoing. | MADIS, 2017/Moninger et al, 2003 | ||
Column carbon observations | Continuous column CO2, CH4, CO. | Comparison to tower GHG network; urban GHG flux estimation. | TCCON: August – December, 2012. Completed. EM27 network, May, 2016. Completed. | Oak Ridge National Laboratory, 2017 |
Atmospheric transport modeling | Weather Research and Forecast Model (WRF) with Chemistry (Chem) and Large Eddy Simulation (LES) options. | Simulation of atmospheric transport of GHGs; meteorological data assimilation; turbulence-resolving simulations | Continuous nested simulation from September, 2012 – October, 2015. Physics ensemble simulation for a winter month (15 February – 20 March, 2013) and a summer month (15 June – 20 July, 2013). WRF-LES simulation of 28 September, 2013. | Sarmiento et al. 2017c./Lauvaux et al., 2016; Deng et al, 2017; Sarmiento et al, 2017; Gaudet et al, personal communication. |
Atmospheric inversion system | Lagrangian Particle Dispersion Model (LPDM); Bayesian matrix inversion | Receptor – source attribution; Flux estimation integrating atmospheric transport, prior flux estimates, and atmospheric GHG observations | LPDM influence functions from September, 2012 – October, 2015. | No public archive./Lauvaux et al., 2016; Deng et al, 2017; Wu et al, personal communication. |
GHG flux estimates | Mesoscale atmospheric inversion | Whole city and spatially resolved GHG flux estimation | Tower-based flux estimates for CO2 and CH4; September, 2012 – April, 2013. Ongoing. | No public archive./Lauvaux et al., 2016; Lamb et al., 2016. |
Atmospheric mass balance | Whole city GHG flux estimation | 68 flights including mass-balance, grid and eddy covariance, 2009 – 2016./Ongoing. | Documented in publications./Mays et al., 2009; Cambaliza et al., 2014, 2015; Heimburger et al, 2017. | |
Eddy covariance | Local area (~ 1 km2), continuous flux measurement | CO2 fluxes at 4 towers, 2013 – early 2016./Ongoing. | Sarmiento et al., 2017b. | |
Plume inversion; Enclosures. | Point source GHG flux estimates | Survey in 2013. | No public archive./Lamb et al., 2016. | |
Emissions inventories/data products | Activity data, fuel statistics, stack monitoring, model algorithm, emission factors | “Bottom-up” estimate of CO2 and CH4 fluxes from the city. | Anthropogenic CO2: 2002, 2010–2014. Ongoing. Total urban CH4: Single assessment. Completed. | No public archive./Gurney et al., 2012; Lamb et al., 2016. |
Component . | Measurements/Instruments/Models . | Description/Purpose . | Data/Status . | Data archive/References . |
---|---|---|---|---|
Aircraft mass balance flights | Airborne Laboratory for Atmospherc Research (ALAR); Meteorological variables,1 continuous CO2, CH4, H2O and CO, flask samples.2 | Measure GHG mass balance across the city. Evaluate simulations of atmospheric GHGs. | 54 mass balance flights, 10 grid flights; February, 2008 – December, 2016. 350 flasks from 48 flights/Ongoing. | Shepson et al., 2017/Mays et al., 2009; Cambaliza et al., 2014, 2015; Heimburger et al, 2017. |
Automobile surveys | Continuous CO2, CH4 and CO, flask samples.2 | Surveys to identify strong point sources. Point source estimation via dispersion models. Evaluation of multi-species and isotope ratios from specific source sectors. | 500 kilometers of road data, 2012–2014. Completed. Source sector surveys, 2015./ Completed. | No public archive/Cambaliza et al., 2015; Lamb et al., 2016; Vimont et al., 2017. |
Tower-based GHG and atmospheric tracer network | Continuous CO2, CH4 and CO, flask samples.2 | Quantify urban GHG enhancement. Tower-based inverse flux estimates. | 2 to 12 tower sites, continuous operation. 1,600 flasks from 375 unique dates and 7 towers./December, 2010 – October, 2016. Ongoing. | Miles et al., 2017b/Turnbull et al., 2012, 2015; Richardson et al., 2017; Miles et al., 2017a. |
Meteorological measurements | Eddy covariance and radiative fluxes3 | Atmospheric state measurements. Atmospheric transport model assimilation and evaluation. | 4 towers with eddy covariance, 2 with radiative fluxes; 2013 to present./Ongoing. | Sarmiento et al., 2017b/Sarmiento et al., 2017a. |
Doppler lidar4 | One site, continuous, 2013 to present./Ongoing. | Brewer, 2017 | ||
Research aircraft1 | See aircraft mass balance flights, above. | See aircraft mass balance flights. | ||
Surface weather stations | 20–24 sites, continuous./Ongoing. | MADIS, 2017/Sarmiento et al., 2017a; Deng et al, 2017 | ||
Commercial aircraft5 | Indianapolis International airport, approx. 15 flights per day, continuous./Ongoing. | MADIS, 2017/Moninger et al, 2003 | ||
Column carbon observations | Continuous column CO2, CH4, CO. | Comparison to tower GHG network; urban GHG flux estimation. | TCCON: August – December, 2012. Completed. EM27 network, May, 2016. Completed. | Oak Ridge National Laboratory, 2017 |
Atmospheric transport modeling | Weather Research and Forecast Model (WRF) with Chemistry (Chem) and Large Eddy Simulation (LES) options. | Simulation of atmospheric transport of GHGs; meteorological data assimilation; turbulence-resolving simulations | Continuous nested simulation from September, 2012 – October, 2015. Physics ensemble simulation for a winter month (15 February – 20 March, 2013) and a summer month (15 June – 20 July, 2013). WRF-LES simulation of 28 September, 2013. | Sarmiento et al. 2017c./Lauvaux et al., 2016; Deng et al, 2017; Sarmiento et al, 2017; Gaudet et al, personal communication. |
Atmospheric inversion system | Lagrangian Particle Dispersion Model (LPDM); Bayesian matrix inversion | Receptor – source attribution; Flux estimation integrating atmospheric transport, prior flux estimates, and atmospheric GHG observations | LPDM influence functions from September, 2012 – October, 2015. | No public archive./Lauvaux et al., 2016; Deng et al, 2017; Wu et al, personal communication. |
GHG flux estimates | Mesoscale atmospheric inversion | Whole city and spatially resolved GHG flux estimation | Tower-based flux estimates for CO2 and CH4; September, 2012 – April, 2013. Ongoing. | No public archive./Lauvaux et al., 2016; Lamb et al., 2016. |
Atmospheric mass balance | Whole city GHG flux estimation | 68 flights including mass-balance, grid and eddy covariance, 2009 – 2016./Ongoing. | Documented in publications./Mays et al., 2009; Cambaliza et al., 2014, 2015; Heimburger et al, 2017. | |
Eddy covariance | Local area (~ 1 km2), continuous flux measurement | CO2 fluxes at 4 towers, 2013 – early 2016./Ongoing. | Sarmiento et al., 2017b. | |
Plume inversion; Enclosures. | Point source GHG flux estimates | Survey in 2013. | No public archive./Lamb et al., 2016. | |
Emissions inventories/data products | Activity data, fuel statistics, stack monitoring, model algorithm, emission factors | “Bottom-up” estimate of CO2 and CH4 fluxes from the city. | Anthropogenic CO2: 2002, 2010–2014. Ongoing. Total urban CH4: Single assessment. Completed. | No public archive./Gurney et al., 2012; Lamb et al., 2016. |
1 Three dimensional winds, temperature, and pressure at 50 Hz.
2 50 trace gases including CO2, CH4 and 14CO2. Complete documentation provided by Turnbull et al., (2012).
3 Terrestrial and solar, upwelling and downwelling hemispheric radiation, turbulent fluxes of virtual temperature, momentum, water vapor and CO2.
4 Mean horizontal winds, turbulent velocity along-beam, aerosol backscatter, ABL depth, turbulent kinetic energy.
5 Horizontal winds, temperature, pressure at 1 to 30 second resolution.