A42D:
Data Assimilation and Inverse Modeling of the Atmospheric Composition II

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Session ID#: 16145

Session Description:
This session aims to bring together recent studies in regional and global data assimilation (DA) and inverse modeling of the sources and sinks of trace gases and aerosols.  We welcome contributions related to: a) advances in variational and ensemble methods to estimate emissions as well as to integrate observations at diverse spatial and temporal scales; b) applications of DA systems in studies related to air quality, biogeochemistry, and weather/chemistry interactions; c) characterization of model and observation errors and reconciliation of top-down and bottom-up estimates;  d) more efficient algorithms including deterministic, ensemble, and hybrid approaches to DA, inversion, and sensitivity analysis; and e) transition to operations of these tools.
Primary Convener:  Avelino F Arellano Jr, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States
Conveners:  Daven K Henze, University of Colorado Boulder, Boulder, United States and Sebastian Milinski, National Center for Atmospheric Research, Boulder, United States
Chairs:  Daven K Henze, University of Colorado Boulder, Boulder, United States and Sebastian Milinski, National Center for Atmospheric Research, Boulder, United States
OSPA Liaison:  Avelino F Arellano Jr, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States

Cross-Listed:
  • GC - Global Environmental Change
  • NG - Nonlinear Geophysics
Index Terms:

0322 Constituent sources and sinks [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0478 Pollution: urban, regional and global [BIOGEOSCIENCES]
3260 Inverse theory [MATHEMATICAL GEOPHYSICS]
3315 Data assimilation [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

Explorations into Data Assimilation of Short-lived Chemicals (Invited) (144293)
Ronald C Cohen, University of California, Berkeley, Chemistry, Berkeley, United States; University of California, Berkeley, Earth and Planetary Science, Berkeley, United States
Top-down estimates of methane and nitrogen oxide emissions from shale gas production regions using aircraft measurements and a mesoscale Bayesian inversion system together with a flux ratio inversion technique (154248)
Yuyan Cui1,2, Jerome F Brioude1,2, Wayne M Angevine2,3, Stuart A McKeen1,2, Daven K Henze4, Nicolas Bousserez5, Zhen Liu6, Brian McDonald1,7, Jeff Peischl1,8, Thomas B Ryerson2, Gregory J Frost2 and Michael Trainer2, (1)CIRES, Boulder, CO, United States, (2)NOAA Earth System Research Lab, Chemical Sciences Division, Boulder, CO, United States, (3)Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, United States, (4)University of Colorado Boulder, Boulder, United States, (5)University of Colorado at Boulder, Boulder, CO, United States, (6)Ramboll ENVIRON International Corporation Novato, Novato, CA, United States, (7)NOAA Earth System Research Laboratory, Chemical Sciences Division, Boulder, CO, United States, (8)Chemical Sciences Laboratory, NOAA Earth System Research Laboratories, Boulder, CO, United States
Accounting for Parameter Uncertainty in Complex Atmospheric Models, With an Application to Greenhouse Gas Emissions Evaluation (155699)
Ben Swallow1, Matthew L Rigby2, Jonathan Rougier3, Alistair Manning4, David Thomson5, Helen N Webster5, Mark F Lunt3 and Simon O'Doherty2, (1)University of Bristol, School of Chemistry, Bristol, BS8, United Kingdom, (2)University of Bristol, School of Chemistry, Bristol, United Kingdom, (3)University of Bristol, Bristol, United Kingdom, (4)UK Meteorological Office, Exeter, United Kingdom, (5)Met Office, Exeter, United Kingdom
Quantifying fire emissions and associated aerosols species using assimilation of satellite carbon monoxide retrievals. (131289)
Jerome Barre, National Center for Atmospheric Research, Boulder, CO, United States, David P Edwards, National Center for Atmospheric Research, Boulder, United States and Helen Marie Worden, NSF National Center for Atmospheric Research (NSF NCAR), Atmospheric Chemistry Observations & Modeling Laboratory (ACOM), Boulder, CO, United States
Accounting for model error in air-quality forecasts: an application of 4DEnVar to the assimilation of atmospheric composition (171054)
Emanuele Emili1, Selime Gürol1 and Daniel Cariolle2, (1)CERFACS European Centre for Research and Advanced Training in Scientific Computation, Toulouse Cedex 01, France, (2)CERFACS, Toulouse, France
Retrieval Desert Dust and Carbonaceous Aerosol Emissions over Africa from PARASOL/GRASP Observations (128216)
Cheng Chen1, Oleg Dubovik2, Tatyana Lapyonok3, Daven K Henze4, Fabrice Ducos5 and Xin Huang1, (1)University of Lille 1, Laboratoire d'Optique Atmosphérique, Villeneuve d'Ascq, France, (2)University of Lille, Laboratoire d'Optique Atmosphérique, Villeneuve d'Ascq, France, (3)Univ. Lille, CNRS, UMR 8518 - LOA - Laboratoire d’Optique Atmosphérique, Lille, France, (4)University of Colorado Boulder, Boulder, United States, (5)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France
Evaluating the Utility of Adjoint-based Inverse Modeling with Aircraft and Surface Measurements during ARCTAS-CARB to Constrain Wildfire Emissions of Black Carbon (192009)
Jonathan Guerrette, Tomorrow.io, Boston, United States; NOAA, Earth System Research Laboratory, Boulder, CO, United States, Nicolas Bousserez, University of Colorado at Boulder, Boulder, CO, United States and Daven K Henze, University of Colorado Boulder, Boulder, United States
Variational Iterative Refinement Source Term Estimation Algorithm Assessment for Rural and Urban Environments (196291)
Luna Marie Rodriguez1, Scott Meech1, David Hahn2, Terri Betancourt1, Daniel Steinhoff3 and Luca Delle Monache1, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)National Center for Atmospheric Research, Research Applications Laboratory, Boulder, CO, United States, (3)National Center for Atmospheric Research, San Diego, United States

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