North American CO 2 exchange

Inter-comparison of modeled estimates with results from a fine-scale atmospheric inversion

S. M. Gourdji, K. L. Mueller, V. Yadav, Deborah N Huntzinger, A. E. Andrews, M. Trudeau, G. Petron, T. Nehrkorn, J. Eluszkiewicz, J. Henderson, D. Wen, J. Lin, M. Fischer, C. Sweeney, A. M. Michalak

Research output: Contribution to journalArticle

55 Citations (Scopus)

Abstract

Atmospheric inversion models have the potential to quantify CO 2 fluxes at regional, sub-continental scales by taking advantage of near-surface CO 2 mixing ratio observations collected in areas with high flux variability. This study presents results from a series of regional geostatistical inverse models (GIM) over North America for 2004, and uses them as the basis for an inter-comparison to other inversion studies and estimates from biospheric models collected through the North American Carbon Program Regional and Continental Interim Synthesis. Because the GIM approach does not require explicit prior flux estimates and resolves fluxes at fine spatiotemporal scales (i.e. 1° Ã-1°, 3-hourly in this study), it avoids temporal and spatial aggregation errors and allows for the recovery of realistic spatial patterns from the atmospheric data relative to previous inversion studies. Results from a GIM inversion using only available atmospheric observations and a fine-scale fossil fuel inventory were used to confirm the quality of the inventory and inversion setup. An inversion additionally including auxiliary variables from the North American Regional Reanalysis found inferred relationships with flux consistent with physiological understanding of the biospheric carbon cycle. Comparison of GIM results with bottom-up biospheric models showed stronger agreement during the growing relative to the dormant season, in part because most of the biospheric models do not fully represent agricultural land-management practices and the fate of both residual biomass and harvested products. Comparison to earlier inversion studies pointed to aggregation errors as a likely source of bias in previous sub-continental scale flux estimates, particularly for inversions that adjust fluxes at the coarsest scales and use atmospheric observations averaged over long periods. Finally, whereas the continental CO 2 boundary conditions used in the GIM inversions have a minor impact on spatial patterns, they have a substantial impact on the continental carbon budget, with a difference of 0.8 PgC yrĝ̂'1 in the total continental flux resulting from the use of two plausible sets of boundary CO 2 mixing ratios. Overall, this inter-comparison study helps to assess the state of the science in estimating regional-scale CO 2 fluxes, while pointing towards the path forward for improvements in future top-down and bottom-up modeling efforts.

Original languageEnglish (US)
Pages (from-to)457-475
Number of pages19
JournalBiogeosciences
Volume9
Issue number1
DOIs
StatePublished - 2012

Fingerprint

mixing ratio
comparison
atmospheric inversion
inversion
carbon budget
carbon
fossil fuels
carbon cycle
land management
fossil fuel
management practice
boundary condition
agricultural land
biomass
synthesis
modeling
North America
product
science
programme

ASJC Scopus subject areas

  • Earth-Surface Processes
  • Ecology, Evolution, Behavior and Systematics

Cite this

North American CO 2 exchange : Inter-comparison of modeled estimates with results from a fine-scale atmospheric inversion. / Gourdji, S. M.; Mueller, K. L.; Yadav, V.; Huntzinger, Deborah N; Andrews, A. E.; Trudeau, M.; Petron, G.; Nehrkorn, T.; Eluszkiewicz, J.; Henderson, J.; Wen, D.; Lin, J.; Fischer, M.; Sweeney, C.; Michalak, A. M.

In: Biogeosciences, Vol. 9, No. 1, 2012, p. 457-475.

Research output: Contribution to journalArticle

Gourdji, SM, Mueller, KL, Yadav, V, Huntzinger, DN, Andrews, AE, Trudeau, M, Petron, G, Nehrkorn, T, Eluszkiewicz, J, Henderson, J, Wen, D, Lin, J, Fischer, M, Sweeney, C & Michalak, AM 2012, 'North American CO 2 exchange: Inter-comparison of modeled estimates with results from a fine-scale atmospheric inversion', Biogeosciences, vol. 9, no. 1, pp. 457-475. https://doi.org/10.5194/bg-9-457-2012
Gourdji, S. M. ; Mueller, K. L. ; Yadav, V. ; Huntzinger, Deborah N ; Andrews, A. E. ; Trudeau, M. ; Petron, G. ; Nehrkorn, T. ; Eluszkiewicz, J. ; Henderson, J. ; Wen, D. ; Lin, J. ; Fischer, M. ; Sweeney, C. ; Michalak, A. M. / North American CO 2 exchange : Inter-comparison of modeled estimates with results from a fine-scale atmospheric inversion. In: Biogeosciences. 2012 ; Vol. 9, No. 1. pp. 457-475.
@article{242c71605bdc40a2bf3e273d98e48d6b,
title = "North American CO 2 exchange: Inter-comparison of modeled estimates with results from a fine-scale atmospheric inversion",
abstract = "Atmospheric inversion models have the potential to quantify CO 2 fluxes at regional, sub-continental scales by taking advantage of near-surface CO 2 mixing ratio observations collected in areas with high flux variability. This study presents results from a series of regional geostatistical inverse models (GIM) over North America for 2004, and uses them as the basis for an inter-comparison to other inversion studies and estimates from biospheric models collected through the North American Carbon Program Regional and Continental Interim Synthesis. Because the GIM approach does not require explicit prior flux estimates and resolves fluxes at fine spatiotemporal scales (i.e. 1{\^A}° {\~A}-1{\^A}°, 3-hourly in this study), it avoids temporal and spatial aggregation errors and allows for the recovery of realistic spatial patterns from the atmospheric data relative to previous inversion studies. Results from a GIM inversion using only available atmospheric observations and a fine-scale fossil fuel inventory were used to confirm the quality of the inventory and inversion setup. An inversion additionally including auxiliary variables from the North American Regional Reanalysis found inferred relationships with flux consistent with physiological understanding of the biospheric carbon cycle. Comparison of GIM results with bottom-up biospheric models showed stronger agreement during the growing relative to the dormant season, in part because most of the biospheric models do not fully represent agricultural land-management practices and the fate of both residual biomass and harvested products. Comparison to earlier inversion studies pointed to aggregation errors as a likely source of bias in previous sub-continental scale flux estimates, particularly for inversions that adjust fluxes at the coarsest scales and use atmospheric observations averaged over long periods. Finally, whereas the continental CO 2 boundary conditions used in the GIM inversions have a minor impact on spatial patterns, they have a substantial impact on the continental carbon budget, with a difference of 0.8 PgC yrĝ̂'1 in the total continental flux resulting from the use of two plausible sets of boundary CO 2 mixing ratios. Overall, this inter-comparison study helps to assess the state of the science in estimating regional-scale CO 2 fluxes, while pointing towards the path forward for improvements in future top-down and bottom-up modeling efforts.",
author = "Gourdji, {S. M.} and Mueller, {K. L.} and V. Yadav and Huntzinger, {Deborah N} and Andrews, {A. E.} and M. Trudeau and G. Petron and T. Nehrkorn and J. Eluszkiewicz and J. Henderson and D. Wen and J. Lin and M. Fischer and C. Sweeney and Michalak, {A. M.}",
year = "2012",
doi = "10.5194/bg-9-457-2012",
language = "English (US)",
volume = "9",
pages = "457--475",
journal = "Biogeosciences",
issn = "1726-4170",
publisher = "European Geosciences Union",
number = "1",

}

TY - JOUR

T1 - North American CO 2 exchange

T2 - Inter-comparison of modeled estimates with results from a fine-scale atmospheric inversion

AU - Gourdji, S. M.

AU - Mueller, K. L.

AU - Yadav, V.

AU - Huntzinger, Deborah N

AU - Andrews, A. E.

AU - Trudeau, M.

AU - Petron, G.

AU - Nehrkorn, T.

AU - Eluszkiewicz, J.

AU - Henderson, J.

AU - Wen, D.

AU - Lin, J.

AU - Fischer, M.

AU - Sweeney, C.

AU - Michalak, A. M.

PY - 2012

Y1 - 2012

N2 - Atmospheric inversion models have the potential to quantify CO 2 fluxes at regional, sub-continental scales by taking advantage of near-surface CO 2 mixing ratio observations collected in areas with high flux variability. This study presents results from a series of regional geostatistical inverse models (GIM) over North America for 2004, and uses them as the basis for an inter-comparison to other inversion studies and estimates from biospheric models collected through the North American Carbon Program Regional and Continental Interim Synthesis. Because the GIM approach does not require explicit prior flux estimates and resolves fluxes at fine spatiotemporal scales (i.e. 1° Ã-1°, 3-hourly in this study), it avoids temporal and spatial aggregation errors and allows for the recovery of realistic spatial patterns from the atmospheric data relative to previous inversion studies. Results from a GIM inversion using only available atmospheric observations and a fine-scale fossil fuel inventory were used to confirm the quality of the inventory and inversion setup. An inversion additionally including auxiliary variables from the North American Regional Reanalysis found inferred relationships with flux consistent with physiological understanding of the biospheric carbon cycle. Comparison of GIM results with bottom-up biospheric models showed stronger agreement during the growing relative to the dormant season, in part because most of the biospheric models do not fully represent agricultural land-management practices and the fate of both residual biomass and harvested products. Comparison to earlier inversion studies pointed to aggregation errors as a likely source of bias in previous sub-continental scale flux estimates, particularly for inversions that adjust fluxes at the coarsest scales and use atmospheric observations averaged over long periods. Finally, whereas the continental CO 2 boundary conditions used in the GIM inversions have a minor impact on spatial patterns, they have a substantial impact on the continental carbon budget, with a difference of 0.8 PgC yrĝ̂'1 in the total continental flux resulting from the use of two plausible sets of boundary CO 2 mixing ratios. Overall, this inter-comparison study helps to assess the state of the science in estimating regional-scale CO 2 fluxes, while pointing towards the path forward for improvements in future top-down and bottom-up modeling efforts.

AB - Atmospheric inversion models have the potential to quantify CO 2 fluxes at regional, sub-continental scales by taking advantage of near-surface CO 2 mixing ratio observations collected in areas with high flux variability. This study presents results from a series of regional geostatistical inverse models (GIM) over North America for 2004, and uses them as the basis for an inter-comparison to other inversion studies and estimates from biospheric models collected through the North American Carbon Program Regional and Continental Interim Synthesis. Because the GIM approach does not require explicit prior flux estimates and resolves fluxes at fine spatiotemporal scales (i.e. 1° Ã-1°, 3-hourly in this study), it avoids temporal and spatial aggregation errors and allows for the recovery of realistic spatial patterns from the atmospheric data relative to previous inversion studies. Results from a GIM inversion using only available atmospheric observations and a fine-scale fossil fuel inventory were used to confirm the quality of the inventory and inversion setup. An inversion additionally including auxiliary variables from the North American Regional Reanalysis found inferred relationships with flux consistent with physiological understanding of the biospheric carbon cycle. Comparison of GIM results with bottom-up biospheric models showed stronger agreement during the growing relative to the dormant season, in part because most of the biospheric models do not fully represent agricultural land-management practices and the fate of both residual biomass and harvested products. Comparison to earlier inversion studies pointed to aggregation errors as a likely source of bias in previous sub-continental scale flux estimates, particularly for inversions that adjust fluxes at the coarsest scales and use atmospheric observations averaged over long periods. Finally, whereas the continental CO 2 boundary conditions used in the GIM inversions have a minor impact on spatial patterns, they have a substantial impact on the continental carbon budget, with a difference of 0.8 PgC yrĝ̂'1 in the total continental flux resulting from the use of two plausible sets of boundary CO 2 mixing ratios. Overall, this inter-comparison study helps to assess the state of the science in estimating regional-scale CO 2 fluxes, while pointing towards the path forward for improvements in future top-down and bottom-up modeling efforts.

UR - http://www.scopus.com/inward/record.url?scp=84863066520&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84863066520&partnerID=8YFLogxK

U2 - 10.5194/bg-9-457-2012

DO - 10.5194/bg-9-457-2012

M3 - Article

VL - 9

SP - 457

EP - 475

JO - Biogeosciences

JF - Biogeosciences

SN - 1726-4170

IS - 1

ER -