Articles | Volume 8, issue 10
https://doi.org/10.5194/gmd-8-3179-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-3179-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Methods for assessment of models
| 
08 Oct 2015
Methods for assessment of models |
| 08 Oct 2015
Simulation of atmospheric N2O with GEOS-Chem and its adjoint: evaluation of observational constraints
K. C. Wells
Department of Soil, Water, and Climate, University of Minnesota, St. Paul, Minnesota, USA
Department of Soil, Water, and Climate, University of Minnesota, St. Paul, Minnesota, USA
N. Bousserez
Department of Mechanical Engineering, University of Colorado at Boulder, Boulder, Colorado, USA
D. K. Henze
Department of Mechanical Engineering, University of Colorado at Boulder, Boulder, Colorado, USA
S. Chaliyakunnel
Department of Soil, Water, and Climate, University of Minnesota, St. Paul, Minnesota, USA
T. J. Griffis
Department of Soil, Water, and Climate, University of Minnesota, St. Paul, Minnesota, USA
Y. Luan
Department of Soil, Water, and Climate, University of Minnesota, St. Paul, Minnesota, USA
E. J. Dlugokencky
Earth System Research Laboratory, NOAA, Boulder, Colorado, USA
R. G. Prinn
Center for Global Change Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
S. O'Doherty
School of Chemistry, University of Bristol, Bristol, UK
R. F. Weiss
Scripps Institute of Oceanography, University of California, San Diego, La Jolla, California, USA
G. S. Dutton
Earth System Research Laboratory, NOAA, Boulder, Colorado, USA
CIRES, University of Colorado, Boulder, Colorado, USA
J. W. Elkins
Earth System Research Laboratory, NOAA, Boulder, Colorado, USA
P. B. Krummel
CSIRO Oceans and Atmosphere Flagship, Aspendale, Victoria, Australia
R. Langenfelds
CSIRO Oceans and Atmosphere Flagship, Aspendale, Victoria, Australia
L. P. Steele
CSIRO Oceans and Atmosphere Flagship, Aspendale, Victoria, Australia
E. A. Kort
Department of Atmospheric, Oceanic, and Space Sciences, University of Michigan, Ann Arbor, Michigan, USA
S. C. Wofsy
School of Engineering and Applied Science and Department of Earth and Planetary Sciences, Harvard University, Cambridge, Massachusetts, USA
T. Umezawa
Center for Atmospheric and Oceanic Studies, Tohoku University, Sendai, Japan
Max-Planck Institute for Chemistry, Mainz, Germany
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Cited
15 citations as recorded by crossref.
- A decade of CH<sub>4</sub>, CO and N<sub>2</sub>O in situ measurements at Lauder, New Zealand: assessing the long-term performance of a Fourier transform infrared trace gas and isotope analyser D. Smale et al. 10.5194/amt-12-637-2019
- Magnitude and Uncertainty of Nitrous Oxide Emissions From North America Based on Bottom‐Up and Top‐Down Approaches: Informing Future Research and National Inventories R. Xu et al. 10.1029/2021GL095264
- A complete rethink is needed on how greenhouse gas emissions are quantified for national reporting A. Leip et al. 10.1016/j.atmosenv.2017.12.006
- An intercomparison of total column-averaged nitrous oxide between ground-based FTIR TCCON and NDACC measurements at seven sites and comparisons with the GEOS-Chem model M. Zhou et al. 10.5194/amt-12-1393-2019
- Top-down constraints on N2O emissions from Canada C. Nevison et al. 10.1016/j.atmosenv.2023.120075
- A comprehensive quantification of global nitrous oxide sources and sinks H. Tian et al. 10.1038/s41586-020-2780-0
- Modelling the growth of atmospheric nitrous oxide using a global hierarchical inversion A. Stell et al. 10.5194/acp-22-12945-2022
- Monthly top‐down NOx emissions for China (2005–2012): A hybrid inversion method and trend analysis Z. Qu et al. 10.1002/2016JD025852
- Top-down constraints on global N<sub>2</sub>O emissions at optimal resolution: application of a new dimension reduction technique K. Wells et al. 10.5194/acp-18-735-2018
- A comprehensive estimate of recent carbon sinks in China using both top-down and bottom-up approaches F. Jiang et al. 10.1038/srep22130
- Optimal and scalable methods to approximate the solutions of large‐scale Bayesian problems: theory and application to atmospheric inversion and data assimilation N. Bousserez & D. Henze 10.1002/qj.3209
- Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions Z. Deng et al. 10.5194/essd-14-1639-2022
- Nitrous Oxide Profiling from Infrared Radiances (NOPIR): Algorithm Description, Application to 10 Years of IASI Observations and Quality Assessment S. Vandenbussche et al. 10.3390/rs14081810
- Partitioning N2O emissions within the U.S. Corn Belt using an inverse modeling approach Z. Chen et al. 10.1002/2015GB005313
- Marine Nitrous Oxide Emissions From Three Eastern Boundary Upwelling Systems Inferred From Atmospheric Observations A. Ganesan et al. 10.1029/2020GL087822
15 citations as recorded by crossref.
- A decade of CH<sub>4</sub>, CO and N<sub>2</sub>O in situ measurements at Lauder, New Zealand: assessing the long-term performance of a Fourier transform infrared trace gas and isotope analyser D. Smale et al. 10.5194/amt-12-637-2019
- Magnitude and Uncertainty of Nitrous Oxide Emissions From North America Based on Bottom‐Up and Top‐Down Approaches: Informing Future Research and National Inventories R. Xu et al. 10.1029/2021GL095264
- A complete rethink is needed on how greenhouse gas emissions are quantified for national reporting A. Leip et al. 10.1016/j.atmosenv.2017.12.006
- An intercomparison of total column-averaged nitrous oxide between ground-based FTIR TCCON and NDACC measurements at seven sites and comparisons with the GEOS-Chem model M. Zhou et al. 10.5194/amt-12-1393-2019
- Top-down constraints on N2O emissions from Canada C. Nevison et al. 10.1016/j.atmosenv.2023.120075
- A comprehensive quantification of global nitrous oxide sources and sinks H. Tian et al. 10.1038/s41586-020-2780-0
- Modelling the growth of atmospheric nitrous oxide using a global hierarchical inversion A. Stell et al. 10.5194/acp-22-12945-2022
- Monthly top‐down NOx emissions for China (2005–2012): A hybrid inversion method and trend analysis Z. Qu et al. 10.1002/2016JD025852
- Top-down constraints on global N<sub>2</sub>O emissions at optimal resolution: application of a new dimension reduction technique K. Wells et al. 10.5194/acp-18-735-2018
- A comprehensive estimate of recent carbon sinks in China using both top-down and bottom-up approaches F. Jiang et al. 10.1038/srep22130
- Optimal and scalable methods to approximate the solutions of large‐scale Bayesian problems: theory and application to atmospheric inversion and data assimilation N. Bousserez & D. Henze 10.1002/qj.3209
- Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions Z. Deng et al. 10.5194/essd-14-1639-2022
- Nitrous Oxide Profiling from Infrared Radiances (NOPIR): Algorithm Description, Application to 10 Years of IASI Observations and Quality Assessment S. Vandenbussche et al. 10.3390/rs14081810
- Partitioning N2O emissions within the U.S. Corn Belt using an inverse modeling approach Z. Chen et al. 10.1002/2015GB005313
- Marine Nitrous Oxide Emissions From Three Eastern Boundary Upwelling Systems Inferred From Atmospheric Observations A. Ganesan et al. 10.1029/2020GL087822
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Short summary
This paper introduces a new inversion framework for N2O using GEOS-Chem and its adjoint, which we employed in a series of observing system simulation experiments to evaluate the source and sink constraints provided by surface and aircraft-based N2O measurements. We also applied a new approach for estimating a posteriori uncertainty for high-dimensional inversions, and used it to quantify the spatial and temporal resolution of N2O emission constraints achieved with the current observing network.
This paper introduces a new inversion framework for N2O using GEOS-Chem and its adjoint, which...
