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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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...
