Registered Users in the U.S. Government Laboratories /
Agencies, State Government

Air Force

afwa.dnxm@afwa.af.mil

Phil Harvey

phil.harvey@412oss.edwards.af.mil

Use the model in support of forecasting for flight test operations.
 

James F. Drake

James.F.Drake@aero.org

Improved radiative transfer calculations and comparisons with radiosonde and satellite rofiles made during dry run of DMSP calibration / validation; better air pollution forecasts by assimilation of conventional and SSMI data using 3DVAR; appraisal of value of terrestrial lidar data for initializing or validating model forecasts.
 

Alaskan Weather Operations Center, Elmendorf AFB, AK

Capt Ann Y. Gravier

gravier@11afmail.topcover.af.mil

Adapt MM5 for regional forecasting.
 

Air Force Institute of Technology

Air Quality Division, State of Michigan

Air Resources Laboratory, NOAA

Applied Insurance Research

Tim Doggett

tdoggett@air-worldwide.com

Argonne National Laboratory

In Young Lee

lee@anler.er.anl.gov

Gordon D. Pusch

pusch@mcs.anl.gov

Sensitivity Analysis of MM5. 
 

Kathy Lee Simunich

simunich@athens.dis.anl.gov

Parallelization of MM5.
 

Guoyong Wen

gwen@anl.gov

California Air Resources Board

Saffet Tanrikulu

saffet@arb.ca.gov

Use MM5 to generate wind fields for regional air quality modeling within California; focus area is California's Central Valley.
 

Bruce Jackson

bjackson@arb.ca.gov

Use MM5 to generate wind fields for regional air quality modeling within California; focus area is southern California.
 

California Environmental Protection Agency

Consulting Engineer

Peter Courtney

psc1@frontiernet.net

Department of Ecology, State of Washington

Clint Bowman

clint@ecy.wa.gov

Use MM5 output as input to regional dispersion model.
 

Tim Allen

tim@ecy.wa.gov

Use MM5 output as input to regional dispersion model.  
 

Department of Environmental Quality

Dr. Yayi Dong

ydong@deq.state.id.us

For air quality modeling in Idaho. Boise, Pocatello.
 

Forestry Sciences Laboratory

Sue Ferguson

ferguson@dorothy.cfr.washington.edu

Investigate the effects of land-use changes on local and regional weather and climate patterns.
Couple MM5 with the biogeographical model, MAPSS, to investigate canopy-atmosphere coupling and general feedbacks between the biosphere and atmosphere Analyze vertical and horizontal parameter relationships in different flow patterns to improve current methods of spatially distributing weather observation data.
 

Idaho National Engineering  Environmental Laboratory

Peter Cebull

cebupp@inel.gov

Parallel performance benchmarking on Cray SV1
 

Lawrence Berkeley Laboratory

Haider Taha

hgthis@dante.lbl.gov

Urban meteorology, heat islands, and sir quality.
 

William J. Riley

wjriley@lbl.gov

Coupling a land-surface model that simulates carbon uptake and plant physiological response to MM5, and using the coupled model to perform regional simulations of carbon exchanges.
Use the model to study soil moisture and its impacts on near-surface air temperatures.
 

Yun (Helen) He

yhe@lbl.gov

Lawrence Livermore National Laboratory

Atmospheric Sciences Division

Dr. Long Li

longli@hotelca.llnl.gov

Analysis of the effects tropical biomass burning on the global atmosphere.
 

Hung-Neng S. Chin

chin2@llnl.gov

Inter-comparison study with NORAPS/COAMPS and MM5 models.
 

Lockheed Martin/Environmental Protection Agency

Mr. Phillip Robinso

robinson.phillip@epa.gov

My objective is to write a configuration document that explains how to setup a Scyld Beowulf Cluster and run MM5.
 

Los Alamos National Laboratory

Scot Johnson

sjohnson@lanl.gov

Augment wind data, primarily, over northern New Mexico.  
 

NASA/MSFC

William Lapenta

bill.lapenta@nasa.gov

NASA Ames Research Center

Robert Chatfield

chatfiel@savitri.arc.nasa.gov

Atmospheric chemistry and associated aspects of aerosol microphysics using meteorological data from MM5.
 

Joelle Champney

champney@sky.arc.nasa.gov

John Vastano

vastano@clio.arc.nasa.gov

Douglas Westphal

westphal@sky.arc.nasa.gov

Could radiation.   
 

NASA Goddard Space Flight Center

Scott A. Braun

braun@agnes.gsfc.nasa.gov

Numerical simulation of hurricanes, extratropical cyclones, and orographic precipitation systems; cloud microphysics development. Recent cases: Hurricanes Bob (1991), Bonnie and Georges (1998), and Erin (2001)
 

Mohan Karyampudi

mohan@betsy.gsfc.nasa.gov

Hurricane studies.
 

Zhaoxia Pu

pu@gilbert.gsfc.nasa.gov

Develope or update the data assimilation system for MM5 in order to better understand the mesoscale convection and cyclone system.
 

Yiqin Jia

jia@klaus.gsfc.nasa.gov

NASA/GSFC Mesoscale modeling user support; case on 08/10/1994 at Taiwan: MCS
 

Chaing Chen

chen@betsy.gsfc.nasa.gov

Fronts 
 

Microwave Sensors Branch

David Alexander

alexand@estar.gsfc.nasa.gov

Assimilation of SSM/I rain rates and lightning flash rates into simulations of the 12-14 March 1993 Superstorm.
 

Earth and Space Data Computing Division

Jules Kouatchou

kouatch@cesdis1.gsfc.nasa.gov

Use MM5 model to study arid region in conjunction with use of satellite data (i.e. TRMM, MODIS).   
 

NASA Mashall Space Flight Center

National Renewable Energy Lab

Wesley Jones

jones.wesley@attbi.com

National Weather Service

Mr. Waylon G. Collins

Waylon.Collins@noaa.gov

My objective is to continue to use the PSU/NCAR MM5 to support short-term forecast operations at the Weather Forecast Office in Corpus Christi. Specifically, to improve the forecast accuracy of weather phenomena that exist on the meso (and possibly micro) time and space scales. I am currently running the model to support local forecast operations.
 

National Weather Service, Tucson, Arizona

National Weather Service, Boise, Idaho

National Weather Service, St. Louis, Missouri

National Weather Service, Reno, Nevada

National Weather Service, Morristown, Tennessee

National Weather Service, Western Region Headquarters, Utah

National Weather Service, Spokane, WA

National Weather Service, Riverton, WY

NOAA Aeronomy Laboratory

Eirh-Yu Hsie

hsie@ncar.ucar.edu

Use MM5 to provide meteorological data for chemical model.
 

NOAA National Severe Storms Laboratory

Dave Stensrud

stensrud@nsslc.gcn.uoknor.edu

Improvement of operational uses of mesoscale models.
Examining mechanisms important to the development and persistence of the Mexican monsoon.
Using mesoscale models to assist in the forecasting of supercell thunderstorms.
Improving the creation of mesoscale model initial conditions in weakly-forced large-scale environments.
Short-range ensemble forecasting.
 

John Cortinas

cortinas@nsslsun.nssl.uoknor.edu

NOAA Forecast System Laboratory

Jim Edwards

jedwards@fsl.noaa.gov

Development of a parallel mm5v2 model using the SMS package developed at FSL.
 

NOAA /Air Resource Lab/Atmospheric Sciences Modeling Division

Robert Gilliam

gilliam.robert@epa.gov

I'm a fairly new MM5 user who just started working for NOAAs Air Resource Lab. Will be utilizing to MM5 for various issues relating to air quality but in terms of specifics I just not sure yet.
 

NOAA Environmental Technology Laboratory

Jian-Wen Bao

jwb@etl.noaa.gov

Cyclogenesis.
 

William D Neff

wdn@etl.noaa.gov

Polar Meteorology.  

Ola Persson

pogp@etl.noaa.gov

2-D idealized studies of conditional symmetric instability.
Coastal California southerly surges.  

James M Wilczak

jmw@etl.noaa.gov

Mesoscale flows in complex terrain.
 

Robert J Zamora

rjz@etl.noaa.gov

Mesoscale weather prediction
Objective Analysis
Model Initialization
 

Pacific Northwest National Laboratories

Ruby Leung

Ruby.Leung@pnl.gov

Regional climate modeling for the Pacific Northwest region.
 

Steve Ghan

sj_ghan@pnl.gov

Regional climate simulation at 30 km resolution..
 

Mr. Nathan Tenney

Nathan.Tenney@pnl.gov

To be used as a benchmark for high performance computing cluster.
 

William Gustafson

William.Gustafson@pnl.gov

Phillips Laboratory (Air Force Systems Command)

Sam Chang

chang@plh.af.mil

Dan DeBenedictis

deben@graupel.plh.af.mil

Douglas C. Hahn

hahn@plh.af.mil

Don Norquist

Remcom Inc.

Clark Valentine

valentine@remcom.com

I will be using MM5 to generate atmospheric data to use in electromagnetic propagation calculations.
 

Sonoma Technology Inc.

Neil Wheeler

neil@sono matech.com

Improvement of meteorological inputs to Chemistry-Transport Models.
 

Surface Systems Inc..

Daniel Gallagher

drg@surface.com

Texas Natural Resource, TX

US Environmental Protection Agency

Jonathan Pleim

pleim@hpcc.epa.gov

Air quality modeling.
 

Russ Bullock

bro@hpcc.epa.gov

High resolution definition of meteorology for air-quality modeling.
 

Bob Wayland

rjw@hpcc.epa.gov

Mike McCorcle

dgb@sequoia.nesc.epa.gov

U.S. Geological Survey

Virginia Dept of Environmental Quality

Mr. Harry Qin

hqin01@yahoo.com

Air Quality studies of historical episodes.
 

Washington Air Search And Rescue

Woods Hole Oceanographic Institution

Mr. Richard J. Healy

rhealy@whoi.edu

Forecasting impact of climate change using model data output from the NASA/GISS GCM (IPCC scenarios A2/B2).