IEEE Geoscience and Remote Sensing Society (GRSS) Washington DC/Northern VA Chapter Seminar on March 25, 2016

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Dr. Pius Lee from NOAA Air Resources Laboratory (ARL) will give a presentation titled "The National Air Quality Forecasting Capability (NAQFC) and the ARL Atmospheric Chemical Reanalysis (ACR)" 

Abstract: The NAQFC was mandated by Congress (EPA 2002) to deliver reliable, accurate and timely air quality forecasts to the nation.  Fourteen years later, more than one third of US population  lives in areas still not attaining the health-based National Ambient Air Quality Standards (NAAQS) for ozone (O3) and fine particulate matter (PM2.5) (EPA, 2016).  Air quality and public health managers have the important task of protecting public health by alerting the population when forecasts predict exceedance of the NAAQS.  Since the NAQFC system is built upon emissions-based forecasting models, emissions data are a key input for accurate and reliable air quality forecasting.  Emissions data, however, are subject to large uncertainties due to the inherent limitations imposed by the current emission inventory-based approach.  ARL leverages our prior experience with emissions, forecasting and data assimilation in innovatively using NASA remote sensing products to better constrain emissions.
ACR provides data services to air managers around the country.  ACR’s data service has already proven to be in the top three services demanded by NASA’s Air Quality Applied Sciences Team. One user’s analysis of our PM2.5 product for model initialization and boundary conditions, for a 4-km resolution State Implementation Plan simulation for July 2011, for the Washington-Baltimore area, showed a 38% reduction in time-averaged domain-wide bias.

Dr. Barry Baker from NOAA Air Resources Laboratory (ARL) will give a presentation titled "A New Way to Couple the CMAQ Model Using the National Unified Operational Prediction Capability (NUOPC) Framework" 

Abstract: The Community Multi-Scale Air Quality (CMAQ) model is a three dimensional chemical transport model (CTM) used to simulate and forecast air quality on a regional scale. CMAQ is the CTM part of NAQFC running in an offline mode. CMAQ can also be run inline with the Advanced Research Weather Research and Forecasting (WRF-ARW) model.  In the offline or standalone mode, a meteorology model runs beforehand to provide inputs. CMAQ then does its own physics (advection, transport, and radiation) in addition to the chemistry using a stability timestep (about 2–5 minutes). When running inline with WRF-ARW meteorological variables are directly transferred to CMAQ.   However, explicit inline coupling can be a burden.  Using the National Unified Operational Prediction Capability (NUOPC) framework many of these burdens are alleviated.  NUOPC allows each model to operate on its own grid under a unified clock to drive each model. Under NUOPC CMAQ can be coupled with the Global Forecasting System (GFS) and the Nonhydrostatic Multiscale Model on the B-Grid (NMMB).  This framework additionally allows CMAQ to couple with non-meteorological models such as hydrology models such as the Land Information System (LIS).   We began the coupling of CMAQ within the NUOPC framework with NMMB.  Presently, the state variables are transformed from one model grid to the other horizontally and any three dimensional variables are then interpolated to the native vertical grids.



  Date and Time

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  Contact

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  • 4087 University Drive
  • Fairfax, Virginia
  • United States 22030
  • Building: Commerce Building
  • Room Number: Conference Room #3006
  • Click here for Map

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  Speakers

Pius Lee of NOAA ARL

Topic:

The National Air Quality Forecasting Capability (NAQFC) and the ARL Atmospheric Chemical Reanalysis (ACR)

The NAQFC was mandated by Congress (EPA 2002) to deliver reliable, accurate and timely air quality forecasts to the nation.  Fourteen years later, more than one third of US population  lives in areas still not attaining the health-based National Ambient Air Quality Standards (NAAQS) for ozone (O3) and fine particulate matter (PM2.5) (EPA, 2016).  Air quality and public health managers have the important task of protecting public health by alerting the population when forecasts predict exceedance of the NAAQS.  Since the NAQFC system is built upon emissions-based forecasting models, emissions data are a key input for accurate and reliable air quality forecasting.  Emissions data, however, are subject to large uncertainties due to the inherent limitations imposed by the current emission inventory-based approach.  ARL leverages our prior experience with emissions, forecasting and data assimilation in innovatively using NASA remote sensing products to better constrain emissions.
ACR provides data services to air managers around the country.  ACR’s data service has already proven to be in the top three services demanded by NASA’s Air Quality Applied Sciences Team. One user’s analysis of our PM2.5 product for model initialization and boundary conditions, for a 4-km resolution State Implementation Plan simulation for July 2011, for the Washington-Baltimore area, showed a 38% reduction in time-averaged domain-wide bias.

Biography:

Dr. Pius Lee is the National Air Quality Forecasting Capability Project (NAQFCP) Leader, National Oceanic and Atmospheric Administration (NOAA). He received his Ph.D from the Toyohashi University of Tech., Japan in 1993. He has been actively working in structural and environmental engineering since 1993. He was a Senior Support Scientist, National Center for Environmental Prediction, NOAA between 2003 and 2009. He worked as a Physical Scientist, Air Resources Laboratory, National Oceanic and Atmospheric Administration (NOAA) between 2009 and 2011 when he became the NAQFCP leader. In 20015 and 2006 he received outstanding award in NOAA. In 2006 he, as a team member of NCEP, earned the Department of Commerce Silver medal. He has been a Principle Investigator of NASA Air Quality Applied Science Team (AQAST) since 2011 (http://acmg.seas.harvard.edu/aqast/).

Email:

Address:5830 University Research Court, , College Park, Maryland, United States, 20740

Barry Baker of NOAA ARL

Topic:

A New Way to Couple the CMAQ Model Using the National Unified Operational Prediction Capability (NUOPC) Framework

The Community Multi-Scale Air Quality (CMAQ) model is a three dimensional chemical transport model (CTM) used to simulate and forecast air quality on a regional scale. CMAQ is the CTM part of NAQFC running in an offline mode. CMAQ can also be run inline with the Advanced Research Weather Research and Forecasting (WRF-ARW) model.  In the offline or standalone mode, a meteorology model runs beforehand to provide inputs. CMAQ then does its own physics (advection, transport, and radiation) in addition to the chemistry using a stability timestep (about 2–5 minutes). When running inline with WRF-ARW meteorological variables are directly transferred to CMAQ.   However, explicit inline coupling can be a burden.  Using the National Unified Operational Prediction Capability (NUOPC) framework many of these burdens are alleviated.  NUOPC allows each model to operate on its own grid under a unified clock to drive each model. Under NUOPC CMAQ can be coupled with the Global Forecasting System (GFS) and the Nonhydrostatic Multiscale Model on the B-Grid (NMMB).  This framework additionally allows CMAQ to couple with non-meteorological models such as hydrology models such as the Land Information System (LIS).   We began the coupling of CMAQ within the NUOPC framework with NMMB.  Presently, the state variables are transformed from one model grid to the other horizontally and any three dimensional variables are then interpolated to the native vertical grids.

Biography:

Dr. Barry Baker recently received his doctoral degree from the Department of Physics in UMBC with a dissertation focus on analyzing the influence of an evolving night time planetary boundary layer (PBL) on pollutant dispersion. He is currently a post doctoral fellow under the supervision of Dr. Pius Lee in NOAA ARL. Dr. Baker has publications on PBL and dry deposition physics.  His current research interest is to coupling the U.S. EPA Community Multiscale Air Quality model (CMAQ)  with other operational models at the National Centers for Environmental Prediction (NCEP) through a national unified interface. The interface that provides interoperability between operational models is called the National Unified Operational Prediction Capability (NUOPC).

Email:

Address:5830 University Research Court, , College Park, Maryland, United States, 20740

Pius Lee of NOAA ARL

Topic:

The National Air Quality Forecasting Capability (NAQFC) and the ARL Atmospheric Chemical Reanalysis (ACR)

Biography:

Email:

Address:College Park, Maryland, United States

Barry Baker of NOAA ARL

Topic:

A New Way to Couple the CMAQ Model Using the National Unified Operational Prediction Capability (NUOPC) Framework

Biography:

Email:

Address:College Park, Maryland, United States