Detailed Agenda

Wednesday

7:00 AM ...... Registration Opens

8:00 AM ...... Opening Remarks

8:05 AM ...... Plenary: Forecasting atmospheric composition at the European Centre for Medium-Range Weather Forecasts : Achievements and challenges of the global CAMS system. 

By Johannes Flemming, European Centre for Medium-Range Weather Forecasts

8:55 AM ...... Session 1 - Modeling of Processes Across Global to Regional and Local Scales

  • A review of recent advances in climate modeling across scales, by Paul Ullrich, UC Davis
  • Toward the integration of atmosphere and wind plant physics and simulation techniques: An overview of the DOE’s Mesoscale-Microscale Coupling project, by Jeff Mirocha, Lawrence Livermore National Laboratory
  • Atmospheric Acidity and the Role of Clouds on Air Quality, by Mary Barth, NCAR

10:00 AM ...... Morning Break

10:20 AM ...... Session 1 Continued - Modeling of Processes Across Global to Regional and Local Scales

  • Forecasting Dust Emissions from Regional to Global Scale using Satellite Data In NOAA FV3, by Bary Baker, CICS-MD & George Mason University & NOAA
  • Defining environmental parameter domains for secondary organic aerosol formation, by William Porter, UC Riverside

11:05 AM ...... Session 2 - Composition and Operational Forecasting from Daily to Seasonal Scales

  • Routine Multi-model Performance Analysis over North America for Three Operational Air Quality Forecast Systems, by Mike Moran, Environment and Climate Change Canada
  • Near Real-Time Sub/Seasonal Prediction of Aerosol at NASA Global Modeling and Assimilation Office, by Andrea Molod, NASA

12:05 PM ...... Lunch provided by Magpie Caterers

01:00 PM ...... Session 2 Continued - Composition and Operational Forecasting from Daily to Seasonal Scales

  • High Resolution Air Quality Forecasting systems for India and the United States, by Rajesh Kumar, NCAR
  • A Machine Learning Approach for Ozone Forecasting and its Application for Kennewick, WA, by Kai Fan, Laboratory for Atmospheric Research, Department of Civil and Environmental Engineering

01:45 PM ...... Session 3 - BL Parameterizations

  • Modeling Subgrid Transport, by Jimy Dudhia, NCAR
  • Evaluation of PBL Parameterizations in WRF at Subkilometer Grid Spacings: Turbulence Statistics in the Dry Convective Boundary Layer, by Hailey Shin, NCAR
  • Accounting for vertical and horizontal turbulent mixing in a three-dimensional planetary boundary layer parameterization, by Pedro Jimenez, NCAR
  • Scale-aware tests of the MYNN-EDMF PBL, shallow cumulus, and chemical mixing scheme with a novel framework, by Wayne Angevine, CIRES & NOAA CSL

03:15 PM ...... Break 

03:35 PM ...... Session 4 - Complex Terrain and Coastal Zone Meteorology

  • Implications of Soil Moisture on Modeled Land-Atmosphere Interactions over Heterogenous Terrain, by Aaron Alexander, UC Davis
  • Daytime, anabatic winds over a steep Alpine slope: Turbulence structure and modeling implications, by Holly J. Oldroyd, UC Davis
  • Diagnosing and Mitigating Errors in Boundary Layer Structure, by Robert Fovell, University at Albany SUNY

4:40 PM ...... Minute Madness

5:00 PM ...... Welcome Reception & Poster Review

Thursday

7:00 AM ...... Registration Opens

8:00 AM ...... Session 4 Continued... Complex Terrain and Coastal Zone Meteorology

  • The Impacts of Wildland Fires and Lower Troposphere Ozone in relation to Air Quality during CABOTS 2016, by Jodie Clark, San Jose State University
  • Diablo Winds in the Bay Area California:  Their climatology, extremes, and behavior, by Yi-Chin Liu, California Air Resources Board

8:45 AM ...... Session 5 - LES, CFD, and Urban Canopy Modeling

  • Modeling variations in ozone dry deposition - what is important for ozone pollution? by Olivia Clifton, NCAR
  • Large-Eddy Simulation and Lagrangian Two-Particle Modeling of Mean and Fluctuating Concentrations in the Atmospheric Boundary Layer, by Jeff Weil, NCAR
  • Modeling airflow and air quality at high resolution in urban environments using fast semi-analytic methods, by David Carruthers, CERC
  • Analyzing and improving turbulence characterization in a multiscale atmospheric model of transport and dispersion through an urban area, by David Wiersema, UC Berkeley

9:50 AM ...... Break

10:20 AM ..... Session 6 - Convection

  • The Shallow-to-Deep Convective Transition:  A Modeling Challenge, by David Adams, Universidad Nacional Autanoma de Mexico
  • Current Developmental Activity on the Grell-Freitas Cumulus Parameterization Including the Addition of Number Concentrations and Storm Motion, by Hannah Barnes, NOAA ESRL
  • Improvement of parameterized convective transport and wet scavenging of trace gases in the WRF-Chem model, Presented by Kenneth Pickering, University of Maryland

11:30 AM ..... Lunch

12:30 PM ....... Plenary: Connecting Ozone Exceedances in Houston TX to Variability in Emissions and Meteorology: Implications for Federal Attainment 

By, William Vizuete, University of North Carolina - Chapel Hill

1:25 PM ....... Session 7 - Aerosol Direct & Indirect Feedbacks and Aerosol Aware Microphysics

  • Effects of GHG mitigation strategies on future California climate, by Mike Kleeman, UC Davis
  • Substantial Convection and Precipitation Enhancements by  Ultrafine Aerosol Particles, by Jiwen Fan, Pacific Northwest National Laboratory 
  • An Investigation of Proposed Aerosol Indirect Effect Mechanisms in Deep Convection, by Adele Igel, UC Davis

2:30 PM ...... Break

2:50 PM ...... Session 7 Continued... Aerosol Direct & Indirect Feedbacks and Aerosol Aware Microphysics

  • Medium Complexity Aerosol Treatment Coupled with Clouds/Precipitation/Radiation in a USA Operational NWP Model, by Gregory Thompson, NCAR-RAL
  • The Comparison of Dust-Radiation versus Dust-Cloud Interactions on the Development of a Modeled Mesoscale Convective System over North Africa, by Chu-Chun Huang, UC Davis

3:35 PM ...... Session 8 - Model Evaluation Using Meteorological and Chemical Observations

  • CAMS Forecast and Reanalysis Evaluation using Chemical Observations, by Henk Eskes, KNMI
  • Regional and hemispheric evaluation of the new Community Multiscale Air Quality Model (CMAQ) version 5.3, by K. Wyatt Appel, US EPA
  • Seasonality and Trends of Modeled PM2.5 using WRF-CMAQ using Empirical Mode Decomposition, by Marina Astitha, University of Connecticut
  • WRF-Chem Modeling of Summertime Ozone during the Long Island Sound Tropospheric Ozone Study, by Brian McDonald, NOAA Earth System Research Laboratory
  • Challenges in simulating high air pollution concentrations during persistent cold air pool events, by Xia Sun, University of Nevada, Reno, Atmospheric Sciences

5:15 PM ..... Thursday End

Friday

7:00 AM ...... Registration Opens

8:00 AM ...... Session 9 - Data Assimilation and Inverse Modeling

  • Navy Ensemble Aerosol Forecasting and Data Assimilation, by Juli Rubin, US Naval Research Laboratory, Remote Sensing Division
  • Leveraging deep learning hyperparameter tuning frameworks for intelligent WRF ensembles, by Derek Jensen, Lawrence Livermore National Laboratory
  • A biomass burning smoke prediction system including near-real time constraints on emissions over the Western U.S., by Pablo Saide, UCLA
  • Errors in top-down estimates of emissions using a known source, by Wayne Angevine, CIRES and NOAA CSL
  • Top-down N2O emission estimation in California using tower measurements and an inverse modeling technique, by Yu YanCui, California Air Resources Board

9:45 AM ...... Break

10:05 AM ..... Session 10 - New and Innovative Modeling Techniques: Machine Learning, New Computation Methods/GPUs, Exposure Estimate Improvement, Data Simulation

  • Using Machine Learning to Assess Parameters Associated with Harmful Algal Blooms and Hypoxia for Lake Erie, by Christina Feng Chang, University of Connecticut
  • Machine Learning for Air Quality Applications, by David Lary, University of Texas, Dallas
  • AI for Science: Deep Learning for improved Satellite Observations and Numerical Modeling, by Craig Tierney, NVIDIA
  • A Modeling System for Fused Regional and Fine-Scale PM2.5 Fields: Applications for California, by Frank Freedman, San Jose State University, Department of meteorology and Climate Sciences
  • A Deep Learning Parameterization for Ozone Dry Deposition Velocities, by Sam Silva, Massachusetts Institute of Technology
  • A Mass-Conserving Machine Learning Algorithm for Atmospheric Chemistry, by Anthony Wexler, UC Davis, Air Quality Research Center

11:40 AM ...... Closing Remarks

Conference Concludes