Scenario #1 Response Urban Sarin HIGH Trained Response Personnel Source -pooled, surface characteristics/properties MicroMeteorology - wind, heating, turbulence.

Slides:



Advertisements
Similar presentations
AIR POLLUTION AND METEOROLOGY
Advertisements

R. L. Buckley and C. H. Hunter Atmospheric Technologies Group Savannah River National Laboratory Recent Improvements to an Advanced Atmospheric Transport.
AREP GAW Section 7 – Chemical Aspects of Air Pollution 1.
Some questions on convection that could be addressed through another UK field program centered at Chilbolton Dan Kirshbaum 1.
A numerical simulation of urban and regional meteorology and assessment of its impact on pollution transport A. Starchenko Tomsk State University.
Session 11: Modeling Dispersion of Chemical Hazards, using ALOHA 1 Modeling Dispersion of Chemical Hazards, using ALOHA Prepared by Dr. Erno Sajo, Associate.
Planning - Other Issues Evaluate not only best model, but also alternative sources of information (degradation of model results) Source characterization.
Introduction to SCREEN3 smokestacks image from Univ. of Waterloo Environmental Sciences Marti Blad.
ANALYSIS OF TRACER DATA FROM URBAN DISPERSION EXPERIMENTS Akula Venkatram and Vlad Isakov  Motivation for Field Experiments  Field Studies Conducted.
Meteorological Data Issues for Class II Increment Analysis.
1 Nuclear emergency management: taking the right decisions with uncertain models Catrinel Turcanu, Johan Camps & Benny Carlé
Will Pendergrass NOAA/ARL/ATDD OAR Senior Research Council Meeting Oak Ridge, TN August 18-19, 2010 Boundary–Layer Dispersion Urban Meteorology 5/20/2015Air.
James Cogan, Robert Dumais, and Yansen Wang
Overview OFCM National Joint Urban Test Bed: Concept of Operations Walter D. Bach, Jr. Co-chair JAG / Joint Urban Test Beds GMU Conference on Atmospheric.
ADMS ADMS 3.3 Modelling Summary of Model Features.
ON IT Utilization of a High Resolution Weather and Impact Model to Predict Hurricane Irene Northeast Regional Operations Workshop 2011 Albany, NY Brandon.
SMOS – The Science Perspective Matthias Drusch Hamburg, Germany 30/10/2009.
1 AirWare : R elease R5.3 beta AERMOD/AERMET DDr. Kurt Fedra Environmental Software & Services GmbH A-2352 Gumpoldskirchen AUSTRIA
Weather Model Background ● The WRF (Weather Research and Forecasting) model had been developed by various research and governmental agencies became the.
Introduction to the ISC Model Marti Blad NAU College of Engineering.
A Basic Introduction to Boundary Layer Meteorology Luke Simmons.
Mesoscale Modeling and Regional Climate Da-Lin Zhang Department of Meteorology, University of Maryland.
fluidyn – PANAIR Fluidyn-PANAIR
Natalie Harvey | Helen Dacre Figure 1 Future Work Conduct sensitivity experiments to understand the relative importance.
Challenges in Urban Meteorology: A Forum for Users and Providers OFCM Panel Summaries Bob Dumont Senior Staff Meteorologist OFCM.
Forecasting and Numerical Weather Prediction (NWP) NOWcasting Description of atmospheric models Specific Models Types of variables and how to determine.
EFCOG Safety Analysis Working Group May 10, 2012 Jeremy Rishel Bruce Napier Atmospheric Dispersion Modeling in Safety Analyses: GENII.
South Eastern Latin America LA26: Impact of GC on coastal areas of the Rio de la Plata: Sea level rise and meteorological effects LA27: Building capacity.
ATD Research Needs and Priorities Panelists Dr. Jay Boris – Navy/NRL Mr. Walter Schalk – NOAA/ARL Mr. John Pace – DoD/DTRA Ms. Jocelyn Mitchell - NuRC.
UNCLASSIFIED Initial Study of HPAC Modeled Dispersion Driven by MM5 With and Without Urban Canopy Parameterizations Dr. Chris Kiley – NGC Dr. Jason Ching.
Understanding the USEPA’s AERMOD Modeling System for Environmental Managers Ashok Kumar Abhilash Vijayan Kanwar Siddharth Bhardwaj University of Toledo.
QUESTION: ARE CURRENT MET OBSERVATIONS ADEQUATE FOR URBAN APPLICATIONS? R. P. Hosker, Jr. NOAA-Air Resources Laboratory Atmospheric Turbulence & Diffusion.
Urban Meteorology James R. Mahoney, Ph.D. Assistant Secretary of Commerce for Oceans and Atmospheres Deputy Administrator, NOAA September 22, 2004 James.
Earth at Night Sue Grimmond International Association for Urban Climate
WRAP Fire Emissions Meeting 5 December 2002 Community Smoke Emissions Model WRAP Fire Emissions Forum Meeting December 2002 Douglas Fox Cooperative Institute.
Building Aware Flow and T&D Modeling Sensor Data Fusion NCAR/RAL March
Review of Urban Modeling Program at LLNL CRTI RD Project Review Meeting Canadian Meteorological Centre August 22-23, 2006.
James S. Ellis National Atmospheric Release Advisory Center Lawrence Livermore National Laboratory Department of Energy (DOE) OFCM Special Session Atmospheric.
Estimating the Optimal Location of a New Wind Farm based on Geospatial Information System Data Dec Chungwook Sim.
Needs & Challenges for Urban Weather Observations Challenges in Urban Meteorology: A Forum for Users and Providers September 2004 Rockville, Maryland.
An ATD Model that Incorporates Uncertainty R. Ian Sykes Titan Research & Technology Div., Titan Corp. 50 Washington Road Princeton NJ OFCM Panel Session.
Introduction to Modeling – Part II Marti Blad Northern Arizona University College of Engineering & Technology Dept. of Civil & Environmental Engineering.
R. A. Brown 2003 U. Concepci Ó n. High Winds Study - Motivation UW PBL Model says U 10 > 35 m/s Composite Storms show high winds Buoy limits:
Regional Modeling Joseph Cassmassi South Coast Air Quality Management District USA.
CITES 2005, Novosibirsk Modeling and Simulation of Global Structure of Urban Boundary Layer Kurbatskiy A. F. Institute of Theoretical and Applied Mechanics.
Introduction to Modeling – Part II
Comparison of the AEOLUS3 Atmospheric Dispersion Computer Code with NRC Codes PAVAN and XOQDOQ 13th NUMUG Conference, October 2009, San Francisco, CA.
Meteorology meets Astronomy : open discussion 1.Usefullness of atmospheric mesoscale modelling for astrophysical applications - to forecast astrophysical.
Types of Models Marti Blad Northern Arizona University College of Engineering & Technology.
Reducing the risk of volcanic ash to aviation Natalie Harvey, Helen Dacre (Reading) Helen Webster, David Thomson, Mike Cooke (Met Office) Nathan Huntley.
Intro to Modeling – Terms & concepts Marti Blad, Ph.D., P.E. ITEP
Operational Emergency Response Modeling Systems for Use with
Breakout Session 1 Air Quality Jack Fishman, Randy Kawa August 18.
Questions to be addressed in Urban Meteorology Stephen Belcher, Janet Barlow Dept of Meteorology University of Reading.
Challenges in PBL and Innovative Sensing Techniques Walter Bach Army Research Office
James S. Ellis Atmospheric Science Division Lawrence Livermore National Laboratory Department of Energy (DOE) Workshop on Effective Emergency Response.
Forecasting smoke and dust using HYSPLIT. Experimental testing phase began March 28, 2006 Run daily at NCEP using the 6Z cycle to produce a 24- hr analysis.
AMS Conference January 2010 Atlanta, GA NCAR/RAL - National Security Applications Program Evaluation of Large Eddy Numerical Simulations (LES) with.
Summary of the Report, “Federal Research and Development Needs and Priorities for Atmospheric Transport and Diffusion Modeling” 22 September 2004 Walter.
Comparisons of CALPUFF and AERMOD for Vermont Applications Examining differing model performance for a 76 meter and 12 meter (stub) stack with emission.
Estimation of surface characteristics over heterogeneous landscapes from medium resolution sensors. F. Baret 1, S. Garrigues 1, D. Allard 2, R. Faivre.
What is in our head…. Spatial Modeling Performance in Complex Terrain Scott Eichelberger, Vaisala.
Consequence Analysis 2.1.
Quantifying uncertainty in volcanic ash forecasts
Incident Modeling Capability for Air Releases
South Eastern Latin America
Characterizing the response of simulated atmospheric boundary layers to stochastic cloud radiative forcing Robert Tardif, Josh Hacker (NCAR Research Applications.
Introduction to Modeling – Part II
XOQDOQ Calculation Method, Tools and Pitfalls
INPUT DATA REQUIREMENTS
Presentation transcript:

Scenario #1 Response Urban Sarin HIGH Trained Response Personnel Source -pooled, surface characteristics/properties MicroMeteorology - wind, heating, turbulence characterization, interaction with surface geometry/ phys. properties Resolution -DX, DZ = 1 m Dt<60 sec Range to 10 km (hazard) to 100 km (met) MEDIUM Training

Scenario #2 Response Dirty Nuke Nowcast Emphasis on Evacuation HIGH Incident Characteristics Source Location(s) Wind Direction & Speed (best onsite) Deposition & particle sizes Precip Quick runtime Simple inputs MEDIUM Wind variability Resuspension Plume rise Stability Accuracy LOW Building morphology Terrain

Scenario #3 Response Nuclear Power Plant HIGH Fast model for “what if” in 3 hrs Temporal source term Long range; long duration Weather transitions and PBL Observed & forecast WX Onsite met with mobile backup Mixed fission and daughter products Wet / Dry deposition Terrain GIS mapping MEDIUM Buoyancy / plume rise LOW Land use / BL interaction Building Wake effects Issues Coastal Meteorology Meso Net Modules for dispersion Applicability

Scenario #4 Response -Anthrax Crop Duster HIGH Source - Knowing, rerease time, virility, UV, release height SAME AS 3 Deposition - land use, buildings Small mesoscale resolution Range to 100+ km GIS interface Multiple time scales Quantify uncertainty Continual update / reanalysis

Feedback: Privacy Policy Feedback
Do Not Sell My Personal Information
About project: SlidePlayer Terms of Service

© 2025 SlidePlayer.com. Inc. All rights reserved.