Toward reduced transport errors in a high resolution urban CO 2 inversion system

Aijun Deng, Thomas Claude Yves Lauvaux, Kenneth James Davis, Brian Gaudet, Natasha Lynn Miles, Scott James Richardson, Kai Wu, Daniel P. Sarmiento, R. Michael Hardesty, Timothy A. Bonin, W. Alan Brewer, Kevin R. Gurney

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

We present a high-resolution atmospheric inversion system combining a Lagrangian Particle Dispersion Model (LPDM) and the Weather Research and Forecasting model (WRF), and test the impact of assimilating meteorological observation on transport accuracy. A Four Dimensional Data Assimilation (FDDA) technique continuously assimilates meteorological observations from various observing systems into the transport modeling system, and is coupled to the high resolution CO 2 emission product Hestia to simulate the atmospheric mole fractions of CO 2 . For the Indianapolis Flux Experiment (INFLUX) project, we evaluated the impact of assimilating different meteorological observation systems on the linearized adjoint solutions and the CO 2 inverse fluxes estimated using observed CO 2 mole fractions from 11 out of 12 communications towers over Indianapolis for the Sep.-Nov. 2013 period. While assimilating WMO surface measurements improved the simulated wind speed and direction, their impact on the planetary boundary layer (PBL) was limited. Simulated PBL wind statistics improved significantly when assimilating upper-air observations from the commercial airline program Aircraft Communications Addressing and Reporting System (ACARS) and continuous ground-based Doppler lidar wind observations. Wind direction mean absolute error (MAE) decreased from 26 to 14 degrees and the wind speed MAE decreased from 2.0 to 1.2 m s -1 , while the bias remains small in all configurations (< 6 degrees and 0.2 m s -1 ). Wind speed MAE and ME are larger in daytime than in nighttime. PBL depth MAE is reduced by ∼10%, with little bias reduction. The inverse results indicate that the spatial distribution of CO 2 inverse fluxes were affected by the model performance while the overall flux estimates changed little across WRF simulations when aggregated over the entire domain. Our results show that PBL wind observations are a potent tool for increasing the precision of urban meteorological reanalyses, but that the impact on inverse flux estimates is dependent on the specific urban environment.

Original languageEnglish (US)
Article number20
JournalElementa
Volume5
DOIs
StatePublished - Jan 1 2017

Fingerprint

boundary layer
wind velocity
Fluxes
Boundary layers
wind direction
communication
Doppler lidar
weather
data assimilation
Aircraft communication
aircraft
spatial distribution
Surface measurement
Optical radar
inversion
air
Towers
Spatial distribution
modeling
simulation

All Science Journal Classification (ASJC) codes

  • Oceanography
  • Environmental Engineering
  • Ecology
  • Geotechnical Engineering and Engineering Geology
  • Geology
  • Atmospheric Science

Cite this

Deng, Aijun ; Lauvaux, Thomas Claude Yves ; Davis, Kenneth James ; Gaudet, Brian ; Miles, Natasha Lynn ; Richardson, Scott James ; Wu, Kai ; Sarmiento, Daniel P. ; Hardesty, R. Michael ; Bonin, Timothy A. ; Brewer, W. Alan ; Gurney, Kevin R. / Toward reduced transport errors in a high resolution urban CO 2 inversion system In: Elementa. 2017 ; Vol. 5.
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abstract = "We present a high-resolution atmospheric inversion system combining a Lagrangian Particle Dispersion Model (LPDM) and the Weather Research and Forecasting model (WRF), and test the impact of assimilating meteorological observation on transport accuracy. A Four Dimensional Data Assimilation (FDDA) technique continuously assimilates meteorological observations from various observing systems into the transport modeling system, and is coupled to the high resolution CO 2 emission product Hestia to simulate the atmospheric mole fractions of CO 2 . For the Indianapolis Flux Experiment (INFLUX) project, we evaluated the impact of assimilating different meteorological observation systems on the linearized adjoint solutions and the CO 2 inverse fluxes estimated using observed CO 2 mole fractions from 11 out of 12 communications towers over Indianapolis for the Sep.-Nov. 2013 period. While assimilating WMO surface measurements improved the simulated wind speed and direction, their impact on the planetary boundary layer (PBL) was limited. Simulated PBL wind statistics improved significantly when assimilating upper-air observations from the commercial airline program Aircraft Communications Addressing and Reporting System (ACARS) and continuous ground-based Doppler lidar wind observations. Wind direction mean absolute error (MAE) decreased from 26 to 14 degrees and the wind speed MAE decreased from 2.0 to 1.2 m s -1 , while the bias remains small in all configurations (< 6 degrees and 0.2 m s -1 ). Wind speed MAE and ME are larger in daytime than in nighttime. PBL depth MAE is reduced by ∼10{\%}, with little bias reduction. The inverse results indicate that the spatial distribution of CO 2 inverse fluxes were affected by the model performance while the overall flux estimates changed little across WRF simulations when aggregated over the entire domain. Our results show that PBL wind observations are a potent tool for increasing the precision of urban meteorological reanalyses, but that the impact on inverse flux estimates is dependent on the specific urban environment.",
author = "Aijun Deng and Lauvaux, {Thomas Claude Yves} and Davis, {Kenneth James} and Brian Gaudet and Miles, {Natasha Lynn} and Richardson, {Scott James} and Kai Wu and Sarmiento, {Daniel P.} and Hardesty, {R. Michael} and Bonin, {Timothy A.} and Brewer, {W. Alan} and Gurney, {Kevin R.}",
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Deng, A, Lauvaux, TCY, Davis, KJ, Gaudet, B, Miles, NL, Richardson, SJ, Wu, K, Sarmiento, DP, Hardesty, RM, Bonin, TA, Brewer, WA & Gurney, KR 2017, ' Toward reduced transport errors in a high resolution urban CO 2 inversion system ', Elementa, vol. 5, 20. https://doi.org/10.1525/elementa.133

Toward reduced transport errors in a high resolution urban CO 2 inversion system . / Deng, Aijun; Lauvaux, Thomas Claude Yves; Davis, Kenneth James; Gaudet, Brian; Miles, Natasha Lynn; Richardson, Scott James; Wu, Kai; Sarmiento, Daniel P.; Hardesty, R. Michael; Bonin, Timothy A.; Brewer, W. Alan; Gurney, Kevin R.

In: Elementa, Vol. 5, 20, 01.01.2017.

Research output: Contribution to journalArticle

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AU - Deng, Aijun

AU - Lauvaux, Thomas Claude Yves

AU - Davis, Kenneth James

AU - Gaudet, Brian

AU - Miles, Natasha Lynn

AU - Richardson, Scott James

AU - Wu, Kai

AU - Sarmiento, Daniel P.

AU - Hardesty, R. Michael

AU - Bonin, Timothy A.

AU - Brewer, W. Alan

AU - Gurney, Kevin R.

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