Mathematical Approaches of Atmospheric Constituents Data Assimilation and Inverse Modeling
Videos from BIRS Workshop
Lori Bruhwiler, NOAA ESRL Global Monitoring Division
Monday Mar 20, 2023 09:15 - 09:54
NOAA efforts in chemical data assimilation and inverse modeling, an overview
Nicolas Bousserez, European Centre for Medium Range Forecasting (ECMWF)
Monday Mar 20, 2023 09:54 - 10:29
CAMS air quality and GHG and methane monitoring and inversion
Daven Henze, University of Colorado
Monday Mar 20, 2023 10:34 - 10:44
Mathematics of chemical data assimilation and inverse modeling
Shay Gilpin, University of Colorado Boulder
Monday Mar 20, 2023 11:43 - 12:16
Continuous formulation of advective dynamics and variance loss
Hendrik Elbern, Universität zu Köln
Monday Mar 20, 2023 15:34 - 16:03
On the observability quest for chemistry data assimilation and emission inversion
Anne Caroline Lange, Forschungszentrum Jülich GmbH
Monday Mar 20, 2023 16:06 - 16:45
The representativeness of observations and emissions for air quality analyses on regional scales
Brad Weir, NASA GSFC/Morgan State Univ
Monday Mar 20, 2023 16:45 - 17:17
Constituent data assimilation plans of the GMAO at NASA
Avelino Arellano, University of Arizona
Tuesday Mar 21, 2023 08:56 - 09:37
Challenges and opportunities in inverse modeling: A case with Carbon Monoxide sources
Dylan Jones, University of Toronto
Tuesday Mar 21, 2023 09:39 - 10:03
Characterizing model errors in inverse modelling of CH4 and CO2 fluxes using weak constraint 4D-Var
Olalekan Balogun, University of Toronto
Tuesday Mar 21, 2023 10:33 - 11:01
Assessing wildfire emissions of CO using 4D-Var inverse modeling
Adrian Sandu, Virginia Tech
Tuesday Mar 21, 2023 11:02 - 11:42
On variational Fokker-Planck filters and smoothers
Saroja Polavarapu, Environment and Climate Change Canada
Tuesday Mar 21, 2023 14:15 - 14:42
Coupling of meteorology and tracers in data assimilation systems
Jinwoong Kim, Environment and Climate Change Canada
Tuesday Mar 21, 2023 14:42 - 15:10
Development of the ECCC’s national carbon flux inversion system
Zhen Qu, North Carolina State University
Tuesday Mar 21, 2023 15:35 - 16:08
Applying analytical inversion and 4D-Var to estimate sources of methane and air pollutants
Dana McGuffin, Lawrence Livermore National Laboratory
Tuesday Mar 21, 2023 16:09 - 16:32
Using process control theory to estimate sea spray emissions in GEOS-Chem
Tianfeng Chai, NOAA/OAR/ARL, CISESS, University of Maryland, College Park
Tuesday Mar 21, 2023 17:03 - 17:43
Inverse modeling with HYSPLIT Lagrangian dispersion model
Steven Fletcher, Colorado State University
Wednesday Mar 22, 2023 08:53 - 09:41
Utilizing machine learning to optimize the choice of error distribution in data assimilation
Alban Farchi, CEREA
Wednesday Mar 22, 2023 09:41 - 10:19
Online model error correction with neural networks – from theory to the ECMWF forecasting system
Joffrey Dumont Le Brazidec, Ecole Nationale des Ponts et Chaussees
Wednesday Mar 22, 2023 10:31 - 10:58
Towards CO2 plume detection and source inversion from satellites using deep neural networks
Haiyan Cheng, Willamette University
Wednesday Mar 22, 2023 10:58 - 11:29
Overview of the role of Machine learning in atmospheric research
Tijana Janjić Pfander, Katholische Universität Eichstätt-Ingolstadt
Thursday Mar 23, 2023 08:55 - 09:27
Convective scale data assimilation perspectives
Yvonne Ruckstuhl, Ludwig Maximilian University of Munich
Thursday Mar 23, 2023 09:28 - 09:53
Parameter estimation in numerical weather prediction
Jeffrey Anderson, National Center for Atmospheric Research
Thursday Mar 23, 2023 10:46 - 11:20
A Quantile conserving ensemble filtering framework
Richard Menard, Environment and Climate Change Canada
Thursday Mar 23, 2023 13:02 - 13:36
Analysis error statistics estimation and simple offline ensemble AQ analysis
Annika Vogel, Environment and Climate Change Canada
Thursday Mar 23, 2023 13:36 - 14:05
Potential and limitations of assimilating multiple collocated datasets with optimal error estimates
Michael Sitwell, Environment and Climate Change Canada
Thursday Mar 23, 2023 14:05 - 14:42
A Framework for the comparison of A priori and A posteriori error Variance estimation and tuning schemes
Olivier Pannekoucke, INPT-ENM / CNRM / CERFACS
Thursday Mar 23, 2023 14:42 - 15:24
PKF tour of data assimilation
Sina Voshtani, Carleton University /Environment and Climate Change Canada
Thursday Mar 23, 2023 15:43 - 16:15
PvKF Assimilation of GOSAT Methane in the Hemispheric CMAQ: Design and results using optimal error statistics with an application for emissions inversion
Kayo Ide, University of Maryland
Thursday Mar 23, 2023 16:15 - 16:32
Lagrangian data assimilation
Dylan Jones, University of Toronto
Friday Mar 24, 2023 09:16 - 10:06
Wrap up session – General discussion and recommendation
