Plume Rise from Wildfires:
|
|
|
- Andrew Adams
- 5 years ago
- Views:
Transcription
1 !"#$%&'()*+,-('*'."/,0#1$2.*.(#3*+,4+2(5,-&3*1()',0"3."/ University of British Columbia Vancouver Dept. of Earth, Ocean & Atmospheric Sciences Weather Forecast Research Team Directed by Prof. Roland Stull Plume Rise from Wildfires: BlueSky & Large Eddy Simulations Nadya Moisseeva, Rosie Howard, Frans Liqui Lung, Tim Chui, Roland Schigas & Roland Stull University of British Columbia (UBC) Vancouver, Canada April 2018 Topics: 1. BlueSky 2. Smoke Plume Rise 3. WRF-SFIRE 4. DALES 5. Plume Variations 6. Wind Modification Region of Influence PNWWW - Apr
2 BlueSky-Canada Operational BlueSky runs made by Roland Schigas at UBC Sponsored by Provinces BC, AB, SK, ON, YT, and by NSERC & DND/CSSP. Run 4 times per day at UBC. 1 April thru 31 October. Based on WRF meteorology with NAM initial & lateral-boundary conditions. Run of 00 UTC meteorology Run from 06, 12, 18 UTC meteorology 12 km Operational WRF runs made by Tim Chui at UBC
3 Smoke oozing down the valleys and fjords toward Vancouver and Washington State (not classic Gaussian plume) NavCanada X Whistler Ski Resort GOES 16 image on 18 July 2017
4 BlueSky- Canada firesmoke.ca Example of forecast from summer 2017 hotspots from satellite forest/fuel map flame energy & propagation smoke emissions plume rise <== our research meteorology dispersion (hysplit model) Vancouver -> X = fire hotspot
5 Motivation for Plume-Rise Studies Smoke injected into the incorrect altitude experiences winds of incorrect directions & speeds, causing erroneous plume-forecast locations... incorrect wind correct wind...resulting in smoke warnings and evacuations of the wrong communities.
6 Focus: Distribution of PM2.5 injection below equilibrium height. Goal: to devise an improved, simple, plume-rise approximation for BlueSky!6
7 Plume Rise Models BlueSky currently uses Gary Brigg s ( ) eqs for smoke-stack plumes, as enhanced by Jeff Weil ( ). Kerry Anderson, Al Pankratz & Curtis Mooney ( ): Thermodynamic Approach, based on amount of heat that warms a conical volume. Roland Stull & Rosie Howard: Vertical Injection of Particulates Emitted from Wildfires (VIPER), based on rate of heat that creates a mixed layer. z #3& '()*+,*- z +./"0+,0102 T UBC new research => Hybrid conceptual model!"#$%&!77
8 Plume Rise Observations Kerry Anderson, Al Pankratz, Curtis Mooney & Kelly Fleetham, 2018: "The Alberta smoke plume observation study". Based on inclinometer obs from fire towers. Multi-angle Imaging SpectroRadiometer (MISR): Satellite aerosols. Stereoscopic analysis of multiple camera angles is used to estimate the height of the smoke plume. But the resulting plume heights were unreliable. Try LES instead, to get surrogate "data" to test plume-rise-models.!8
9 Large-Eddy Simulation (LES) Models DALES = Dutch Atmospheric LES WRF-SFIRE = coupled Weather Research & Forecast and FIRE-spread Mandel et al, 2014: Nat. Hazards Earth Syst. Sci., 14, , doi: / nhess DALES Non-hydrostatic Boussinesq approximation FFT Pressure solver Imposed net zero vertical velocity Cartesian height levels Subgrid Turb.: K theory based on TKE Handles multiple tracers Flat or simple sloped terrain only WRF-SFIRE Non-hydrostatic Fully compressible Prognostic P eq. Pressure eta levels Subgrid Turb: 3-D 1.5 order TKE closure Moisture is surrogate for smoke emissions Complex terrain!x = 10 m!x = 40 m for WRF, with 4 m for SFIRE 55 layers in vertical, up to 2.8 km 50 layers in vertical, up to 2.5 km Cyclic lateral boundary conditions Fireline approximated by enhanced surface heat flux Infinitely long fireline Cyclic lateral boundary conditions Models fire spread & heat & H2O Finite length fireline!9
10 Model Comparison of PBL Evolution LES spin-up comparison by Frans Liqui Lung at UBC & Delft Height (m) DALES (solid) WRF-SFIRE (dashed) v-velocity spectra in x-direction Potential Temperature (K) Spectral Power large eddies small eddies
11 Large-Eddy Simulation (WRF-SFIRE): first experiments - research by Nadya Moisseeva at UBC. Simulating the prescribed burn: RxCADRE 2012 (Nov 10, 2012 Elgin Air Force Base, Florida) two large lots (shrub/forest).. Surface/air measurements of emissions, including H2O vapor!11
12 WFR-SFIRE Convective-Structures. LES runs by Nadya Moisseeva. Analysis by Rosie Howard at UBC Case: W6S400F3R0 = wind = 6 m/s, H = 400 W/m2, fuel = tall grass, no background pollutants 2 z (km) 1 0 End View of Smoke Concentration 0 Crosswind Dist.(km) 6 Wind 0 Crosswind Dist.(km) 6 Variations of Heat flux along fire line Plan (top) View of Smoke Concentration 2 2 Side View of Smoke Conc. z (km) z (km) Crosswind Dist.(km) Downwind Dist. (km) 12
13 WRF-SFIRE Convective-Structures. LES runs by Nadya Moisseeva. Analysis by Rosie Howard at UBC 2 U-wind (m/s). Asymmetric region of influence at surface 2 Vertical Velocities (m/2). Enhancement of fire updraft by background thermals z (km) 1 Wind Out flow Wind z (km) 1 0 Wind Inflow Wind 0 Downwind Dist. (km) Downwind Dist. (km) 12 Fire Fire
14 DALES Region of Influence. Analysis by Frans Liqui Lung at UBC & Delft Wind Out flow Wind Wind Inflow Wind Fire Upwind Region of Influence. Downwind Region of Influence. Mean wind is 2 m/s, heat flux plume is 8 K m/s, heat flux environment is 0.2 K m/s. Width fire line is 100 meters.
15 DALES Convective-Structures. Analysis by Frans Liqui Lung at UBC & Delft Uniform Heat flux along fire line Absolute Concentrations. But emitted from very small portion of fire line. XXX
16 DALES Convective-Structures. Analysis by Frans Liqui Lung at UBC & Delft Relative (percentage) Concentration. Reveals backflow toward fireline at surface
17 2017 Fire season in British Columbia Image courtesy of BC Wildfire Service. Bishop Bluffs fire in central BC - 13 Aug 2017 Over 65 provincial parks closed. Dozens of highways closed. Dozens of towns evacuated.
18 !"#$%&'()*+,-('*'."/,0#1$2.*.(#3*+,4+2(5,-&3*1()',0"3."/ University of British Columbia Vancouver Dept. of Earth, Ocean & Atmospheric Sciences Weather Forecast Research Team Directed by Prof. Roland Stull Topics: 1. BlueSky 2. Smoke Plume Rise 3. WRF-SFIRE 4. DALES 5. Plume Variations 6. Wind Modification Region of Influence Plume Rise from Wildfires: BlueSky & Large Eddy Simulations Conclusions: Nadya Moisseeva Rosie Howard Frans Liqui Lung Tim Chui Roland Schigas Roland Stull Smoke plume diameters scale to fire-line width. 2. Variability in smoke injection heights depend partly on variation of heat sources along the fire line. 3. Some of this variability forms in air even over a uniform fire line. Dept. of Earth, Ocean & Atmos. Sci. University of British Columbia (UBC) Main Mall Vancouver,BC, V6T 1Z4, Canada 4. Downwind region of influence on winds grows larger with time, while upwind becomes const. PNWWW - Apr 2018 Thanks to our sponsors: BC, AB, SK, ON, YT, and by NSERC & DND/CSSP. 18
The Impacts of Wildfire Smoke and the Western Canada BlueSky Wildfire Smoke Forecasting System
The Impacts of Wildfire Smoke and the Western Canada BlueSky Wildfire Smoke Forecasting System Wildland Fire Canada Conference October 2012 Steve Sakiyama, British Columbia Ministry of Environment Steve.Sakiyama@gov.bc.ca
High resolution wildfires simulation, forecasting tools to estimate front evolution, fire induced weather and pollution
High resolution wildfires simulation, forecasting tools to estimate front evolution, fire induced weather and pollution J.B. Filippi F. Bosseur SPE, CNRS UMR6134, Université de Corse 1/30 Our problem Very
Fire Plume Rise Model Introduction. Jianfeng Li, Ziming Ke
Fire Plume Rise Model Introduction Jianfeng Li, Ziming Ke Background Fire smoke: human health, visibility, air quality, regional climate change. 1. Description of the emissions source, include both pollutants
Wind Flow Modeling The Basis for Resource Assessment and Wind Power Forecasting
Wind Flow Modeling The Basis for Resource Assessment and Wind Power Forecasting Detlev Heinemann ForWind Center for Wind Energy Research Energy Meteorology Unit, Oldenburg University Contents Model Physics
Measurements and Simulations of Wakes in Onshore Wind Farms Julie K. Lundquist 1,2
Measurements and Simulations of Wakes in Onshore Wind Farms Julie K. Lundquist 1,2 1 University of Colorado Boulder, 2 National Renewable Energy Laboratory NORCOWE 2016, 14 16 Sept 2016, Bergen, Norway
Central Ohio Air Quality End of Season Report. 111 Liberty Street, Suite 100 Columbus, OH Mid-Ohio Regional Planning Commission
217 218 Central Ohio Air Quality End of Season Report 111 Liberty Street, Suite 1 9189-2834 1 Highest AQI Days 122 Nov. 217 Oct. 218 July 13 Columbus- Maple Canyon Dr. 11 July 14 London 11 May 25 New Albany
Dispersion for point sources CE 524 February
Dispersion for point sources CE 524 February 2011 1 Concentration Air pollution law in most industrial countries based on concentration of contaminants NAAQS in US Need method dto predict concentrations
Recent Performance of the NOAA Air Quality Forecasting Capability and the Impact of Driving Meteorology
Recent Performance of the NOAA Air Quality Forecasting Capability and the Impact of Driving Meteorology http://www.emc.ncep.noaa.gov/mmb/aq Jeff McQueen, Jianping Huang, Ho-Chun Huang, Perry Shafran NCEP/EMC
Nesting large-eddy simulations within mesoscale simulations in WRF for wind energy applications
Performance Measures x.x, x.x, and x.x Nesting large-eddy simulations within mesoscale simulations in WRF for wind energy applications Julie K. Lundquist Jeff Mirocha, Branko Kosović 9 WRF User s Workshop,
Wen Xu* Alberta Environment and Sustainable Resource Development, Edmonton, Alberta, Canada
Air Quality and Acid Deposition Simulation of South Athabasca Oil Sands Area Applying WRF, CMAQ and CALPUFF Models, and Model Performance Evaluations of WRF and CMAQ Models Wen Xu* Alberta Environment
P2.9 Use of the NOAA ARL HYSPLIT Trajectory Model For the Short Range Prediction of Stratus and Fog
Ellrod, G. P., 2013: Use of the NOAA ARL HYSPLIT Trajectory Model for the Short Range Prediction of Stratus and Fog. Extended Abstract, 38 th National Weather Association Annual Meeting, Charleston, SC,
RSMC WASHINGTON USER'S INTERPRETATION GUIDELINES ATMOSPHERIC TRANSPORT MODEL OUTPUTS
RSMC WASHINGTON USER'S INTERPRETATION GUIDELINES ATMOSPHERIC TRANSPORT MODEL OUTPUTS -Version 2.0- (January 2007) 1. Introduction In the context of current agreements between the National Oceanic and Atmospheric
The CANSAC/BLUESKY Connection
The CANSAC/BLUESKY Connection Timothy Brown Desert Research Institute Program for Climate, Ecosystem and Fire Applications Reno, NV Partners USDA Forest Service Region 5 California Air Resources Board
AIRQUEST Annual Report and State of the Model
AIRQUEST Annual Report and State of the Model Brian Lamb 1, Serena Chung 1, Farren Herron-Thorpe 2 and Joseph Vaughan 1 1 Laboratory for Atmospheric Research, Washington State University, Pullman, W, USA
The Planetary Boundary Layer and Uncertainty in Lower Boundary Conditions
The Planetary Boundary Layer and Uncertainty in Lower Boundary Conditions Joshua Hacker National Center for Atmospheric Research hacker@ucar.edu Topics The closure problem and physical parameterizations
weather forecast Improving NOAA models for energy Stan Benjamin, Boulder, CO USA Joseph Olson, Curtis Alexander, Eric James,
Lamont, OK X Obs radar 5h HRRR Forecast Improving NOAA weather forecast models for energy Stan Benjamin, Joseph Olson, Curtis Alexander, Eric James, Dave Turner, Melinda Marquis NOAA Earth System Research
arxiv:submit/ [physics.ao-ph] 15 May 2014
![arxiv:submit/ [physics.ao-ph] 15 May 2014](/thumbs/82/84931422.jpg "arxiv:submit/ [physics.ao-ph] 15 May 2014")
arxiv:submit/0979629 [physics.ao-ph] 15 May 2014 Toward an integrated system for fire, smoke, and air quality simulations Adam K. Kochanski 1, Mary Ann Jenkins 2, Kara Yedinak 3, Jan Mandel 4, Jonathan
forest fires, emission estimates, dispersion modelling, air quality, fire growth, meteorology 2.0 METHODS
J3.1 ESTIMATING THE AIR QUALITY IMPACTS OF FOREST FIRES IN ALBERTA Alex Schutte 1*, Cindy Walsh 1, Cordy Tymstra 2, and Lawrence Cheng 3 1 Levelton Consultants Ltd., Richmond, BC, Canada 2 Alberta Sustainable
Cambridge Using Plume Rise Schemes To Model Highly Buoyant Plumes From Large Fires
Using Plume Rise Schemes To Model Highly Buoyant Plumes From Large Fires Helen Webster, Robert Beare, Benjamin Devenish, James Haywood, Adrian Lock and David Thomson Crown copyright 2007 Page 1 Outline
Cooperative Institute for Research in Environmental Sciences (CIRES) CU-Boulder 2. National Oceanic and Atmospheric Administration
Moisture transport during the inland penetrating atmospheric river of early November 006 in the Pacific Northwest: A high-resolution model-based study Michael J. Mueller 1 and Kelly Mahoney 1 Cooperative
3.4 AN ALBERTA PLUME STUDY AND COMPARISON TO PREDICTIVE MODELS. Kerry Anderson 1 Canadian Forest Service
3.4 AN ALBERTA PLUME STUDY AND COMPARISON TO PREDICTIVE MODELS Kerry Anderson 1 Canadian Forest Service Al Pankratz, Curtis Mooney Environment Canada Kelly Fleetham Alberta Environment and Sustainable
Observation of Smoke and Dust Plume Transport and Impact on the Air Quality Remote Sensing in New York City
Observation of Smoke and Dust Plume Transport and Impact on the Air Quality Remote Sensing in New York City Yonghua Wu*, Chowdhury Nazmi, Cuiya Li, Daniel Hoyos, Barry Gross, Fred Moshary NOAA-CREST and
Addendum to the. Submitted to U.S. EPA Region 9 March 17, Prepared by:
Addendum to the Exceptional Events Demonstration for 2015 Ozone Exceedance in Washoe County from the 2015 California Wildfires August 21, 2015 Submitted to U.S. EPA Region 9 March 17, 2017 Prepared by:
Fire Season Prediction for Canada, Kerry Anderson Canadian Forest Service
Fire Season Prediction for Canada, 2014 Kerry Anderson Canadian Forest Service 1 Introduction The Canadian Forest Service is now presenting monthly and seasonal forecast maps through the Canadian Wildland
Weather Research and Forecasting Model. Melissa Goering Glen Sampson ATMO 595E November 18, 2004
Weather Research and Forecasting Model Melissa Goering Glen Sampson ATMO 595E November 18, 2004 Outline What does WRF model do? WRF Standard Initialization WRF Dynamics Conservation Equations Grid staggering
Department of Meteorology University of Nairobi. Laboratory Manual. Micrometeorology and Air pollution SMR 407. Prof. Nzioka John Muthama
Department of Meteorology University of Nairobi Laboratory Manual Micrometeorology and Air pollution SMR 407 Prof. Nioka John Muthama Signature Date December 04 Version Lab : Introduction to the operations
HIGH RESOLUTION RAPID REFRESH COUPLED WITH SMOKE (HRRR- SMOKE): REAL-TIME AIR QUALITY MODELING SYSTEM AND ITS APPLICATION TO CASE STUDIES
HIGH RESOLUTION RAPID REFRESH COUPLED WITH SMOKE (HRRR- SMOKE): REAL-TIME AIR QUALITY MODELING SYSTEM AND ITS APPLICATION TO CASE STUDIES Ravan Ahmadov 1,2 (ravan.ahmadov@noaa.gov) Acknowledgement: G.
8 VISIBILITY. 8.1 Setting. 8.2 Assessment Focus. Table 8-1: Key Issue for Visibility
Volume 2: Environmental and Sturgeon Upgrader Project 8 VISIBILITY 8.1 Setting The Project is in Sturgeon County within Alberta s Industrial Heartland area (the Heartland). The Heartland includes a number
Regional Air Quality Monitoring and Forecasting using Remote Sensing Satellites, Ground-level Measurements and Numerical Modelling
Regional Air Quality Monitoring and Forecasting using Remote Sensing Satellites, Ground-level Measurements and Numerical Modelling PI: Santo V. Salinas [a] Collaborators: Ellsworth J. Welton [b], Brent
RSMC WASHINGTON USER'S INTERPRETATION GUIDELINES ATMOSPHERIC TRANSPORT MODEL OUTPUTS
RSMC WASHINGTON USER'S INTERPRETATION GUIDELINES ATMOSPHERIC TRANSPORT MODEL OUTPUTS (January 2015) 1. Introduction In the context of current agreements between the National Oceanic and Atmospheric Administration
A new quantitative smoke forecasting system for Victoria
A new quantitative smoke forecasting system for Victoria Non-peer reviewed research proceedings from the Bushfire and Natural Hazards CRC & AFAC conference Sydney, 4 6 September 2017 Monica Long 1, Alan
Current and Future Impacts of Wildfires on PM 2.5, Health, and Policy in the Rocky Mountains
Current and Future Impacts of Wildfires on PM 2.5, Health, and Policy in the Rocky Mountains Yang Liu, Ph.D. STAR Grants Kick-off Meeting Research Triangle Park, NC April 5, 2017 Motivation The Rocky Mountains
A B C D PROBLEMS Dilution of power plant plumes. z z z z
69 PROBLEMS 4. Dilution of power plant plumes Match each power plant plume (-4) to the corresponding atmospheric lapse rate (A-D, solid lines; the dashed line is the adiabatic lapse rate Γ). Briefly comment
Air Pollution Meteorology
Air Pollution Meteorology Government Pilots Utilities Public Farmers Severe Weather Storm / Hurricane Frost / Freeze Significant Weather Fog / Haze / Cloud Precipitation High Resolution Weather & Dispersion
Modeling Smoke Plume-Rise and Dispersion from Southern United States Prescribed Burns with Daysmoke
Atmosphere 2011, 2, 358-388; doi:10.3390/atmos2030358 OPEN ACCESS atmosphere ISSN 2073-4433 www.mdpi.com/journal/atmosphere Article Modeling Smoke Plume-Rise and Dispersion from Southern United States
NOAA s Air Quality Forecasting Activities. Steve Fine NOAA Air Quality Program
NOAA s Air Quality Forecasting Activities Steve Fine NOAA Air Quality Program Introduction Planned Capabilities Initial: 1-day 1 forecast guidance for ozone Develop and validate in Northeastern US September,
Idealized Nonhydrostatic Supercell Simulations in the Global MPAS
Idealized Nonhydrostatic Supercell Simulations in the Global Joe Klemp, Bill Skamarock, and Sang-Hun Park National Center for Atmospheric Research Boulder, Colorado Typical characteristics: Supercell Thunderstorms
Warm weather s a comin!
Warm weather s a comin! Performance Dependence on Closure Constants of the MYNN PBL Scheme for Wind Ramp Events in a Stable Boundary Layer David E. Jahn IGERT Wind Energy Science Engineering and Policy
Projeto Temático FAPESP 2013/ Climate Ecosystems Atmospheric Composition
Projeto Temático FAPESP 2013/05014-0 Climate Ecosystems Atmospheric Composition GoAmazon2014/15 Experiment Manaus is a city of 2 million people surrounded by just forest in a radius of 1.500 Km. UNIQUE
Use of the ALOHA source term model to enhance the NOAA HYSPLIT atmospheric dispersion model
Use of the ALOHA source term model to enhance the NOAA HYSPLIT atmospheric dispersion model + Glenn Rolph Air Resources Laboratory (ARL) Office of Oceanic and Atmospheric Research (OAR) U.S. National Oceanic
End of Ozone Season Report
End of Ozone Season Report Central Ohio: April 1 through October 31, 2016 The Mid-Ohio Regional Planning Commission (MORPC) is part of a network of agencies across the country that issues daily air quality
P4.11 SINGLE-DOPPLER RADAR WIND-FIELD RETRIEVAL EXPERIMENT ON A QUALIFIED VELOCITY-AZIMUTH PROCESSING TECHNIQUE
P4.11 SINGLE-DOPPLER RADAR WIND-FIELD RETRIEVAL EXPERIMENT ON A QUALIFIED VELOCITY-AZIMUTH PROCESSING TECHNIQUE Yongmei Zhou and Roland Stull University of British Columbia, Vancouver, BC, Canada Robert
Who is polluting the Columbia River Gorge?
Who is polluting the Columbia River Gorge? Final report to the Yakima Nation Prepared by: Dan Jaffe, Ph.D Northwest Air Quality, Inc. 7746 Ravenna Avenue NE Seattle WA 98115 NW_airquality@hotmail.com December
Planned Burn (PB)-Piedmont online version user guide. Climate, Ecosystem and Fire Applications (CEFA) Desert Research Institute (DRI) June 2017
Planned Burn (PB)-Piedmont online version user guide Climate, Ecosystem and Fire Applications (CEFA) Desert Research Institute (DRI) June 2017 The Planned Burn (PB)-Piedmont model (Achtemeier 2005) is
Long-lead prediction of the 2015 fire and haze episode in Indonesia
Long-lead prediction of the 2015 fire and haze episode in Indonesia Robert Field 1,2 Dilshad Shawki 3, Michael Tippett 2, Bambang Hero Saharjo 4, Israr Albar 5, Dwi Atmoko 6, Apostolos Voulgarakis 1 1.
Big Bend Regional Aerosol & Visibility Observational Study
Big Bend Regional Aerosol & Visibility Observational Study BRAVO - Results Bret Schichtel National Park Service, Schichtel@cira.colostate.edu Presented at the BRAVO Public Meeting Alpine, Texas September
FOREST FIRE News July 29, :30
FOREST FIRE News July 29, 2018 20:30 River Valley Cluster Fire Update ****This will be the last River Valley Cluster Fire Update. In the future, please visit the Ontario.ca/forestfire website for all the
Juli I. Rubin. NRC Postdoctoral Research Associate Naval Research Laboratory, Monterey, CA
Development of the Ensemble Navy Aerosol Analysis Prediction System and its application of the Data Assimilation Research Testbed in Support of Aerosol Forecasting Juli I. Rubin NRC Postdoctoral Research
Using a high-resolution ensemble modeling method to inform risk-based decision-making at Taylor Park Dam, Colorado
Using a high-resolution ensemble modeling method to inform risk-based decision-making at Taylor Park Dam, Colorado Michael J. Mueller 1, Kelly Mahoney 2, Kathleen Holman 3, David Gochis 4 1 Cooperative
NOAA-EPA s s U.S. National Air Quality Forecast Capability
NOAA-EPA s s U.S. National Air Quality Forecast Capability May 10, 2006 Paula M. Davidson 1, Nelson Seaman 1, Jeff McQueen 1, Rohit Mathur 1,2, Chet Wayland 2 1 National Oceanic and Atmospheric Administration
Atmosphere-fire simulation of effects of low-level jets on pyro-convective plume dynamics
20th International Congress on Modelling and Simulation, Adelaide, Australia, 1 6 December 2013 www.mssanz.org.au/modsim2013 Atmosphere-fire simulation of effects of low-level jets on pyro-convective plume
Part III: Modeling atmospheric convective boundary layer (CBL) Evgeni Fedorovich School of Meteorology, University of Oklahoma, Norman, USA
Physical modeling of atmospheric boundary layer flows Part III: Modeling atmospheric convective boundary layer (CBL) Outline Evgeni Fedorovich School of Meteorology, University of Oklahoma, Norman, USA
Clouds and Rain Unit (3 pts)
Name: Section: Clouds and Rain Unit (Topic 8A-2) page 1 Clouds and Rain Unit (3 pts) As air rises, it cools due to the reduction in atmospheric pressure Air mainly consists of oxygen molecules and nitrogen
FOREST FIRE. News July 27, :30
FOREST FIRE News July 27, 2018 21:30 Parry Sound 33 Fire Update Parry Sound 33 Forest Fire is 7297 hectares in size. Due to southwest winds, the northeast side is the most active part of the fire. The
Top-of-atmosphere radiative forcing affected by brown carbon in the upper troposphere
In the format provided by the authors and unedited. SUPPLEMENTARY INFORMATION DOI: 10.1038/NGEO2960 Top-of-atmosphere radiative forcing affected by brown carbon in the upper troposphere Yuzhong Zhang 1,
Using Smoke Modeling Tools for Prescribed Fire Planning and Implementation A Quick Set of Instructions (Revised October 2015)
Using Smoke Modeling Tools for Prescribed Fire Planning and Implementation A Quick Set of Instructions (Revised October 2015) Fire Management Officers (FMOs) in Region 8 are using smoke modeling more often
Global and Regional Modeling
Global and Regional Modeling Pius Lee NOAA Air Resources Lab (ARL) with contributions from: NOAA ARL: Daniel Tong, Li Pan, Youhua Tang, Barry Baker NOAA National Centers for Environmental Prediction: Jeff
Functional Data Assimilation with White-Noise Data Error and Applications to Assimilation of Active Fires Satellite Detection Data
Functional Data Assimilation with White-Noise Data Error and Applications to Assimilation of Active Fires Satellite Detection Data Jan Mandel, University of Colorado Denver James Haley, University of Colorado
Natural Event Documentation
ADDENDUM Natural Event Documentation Corcoran, Oildale and Bakersfield, California September 22, 2006 San Joaquin Valley Unified Air Pollution Control District May 23, 2007 Natural Event Documentation
Simulation of Air Quality Using RegCM Model
Simulation of Air Quality Using RegCM Model The Regional Climate Model (RegCM) The Regional Climate Model (RegCM) is one of the RCMs that was originally developed at the National Center for Atmospheric
Final Exam: Monday March 17 3:00-6:00 pm (here in Center 113) Slides from Review Sessions are posted on course website:
Final Exam: Monday March 17 3:00-6:00 pm (here in Center 113) 35% of total grade Format will be all multiple choice (~70 questions) Final exam will cover entire course - material since 2 nd midterm weighted
Climates of NYS. Definitions. Climate Regions of NYS. Storm Tracks. Climate Controls 10/13/2011. Characteristics of NYS s Climates
Definitions Climates of NYS Prof. Anthony Grande 2011 Weather and Climate Weather the state of the atmosphere at one point in time. The elements of weather are temperature, air pressure, wind and moisture.
Turbulence in the Stable Boundary Layer
Turbulence in the Stable Boundary Layer Chemical-Biological Information Systems Austin, TX 11 January 2006 Walter D. Bach, Jr. and Dennis M. Garvey AMSRD-ARL-RO-EV & -CI-EE JSTO Project: AO06MSB00x Outline
The Challenge of. Guy Brasseur
The Challenge of Monitoring and Predicting Chemical Weather Guy Brasseur Introduction: What is Chemical Weather? What is Chemical Weather? Local, regional, and global distributions of important trace gases
Modified PM09 parameterizations in the shallow convection grey zone
Modified PM09 parameterizations in the shallow convection grey zone LACE stay report Toulouse Centre National de Recherche Meteorologique, 02. February 2015 27. February 2015 Scientific supervisor: Rachel
1.2 UTILIZING MODIS SATELLITE OBSERVATIONS IN NEAR-REAL-TIME TO IMPROVE AIRNow NEXT DAY FORECAST OF FINE PARTICULATE MATTER, PM2.5
1.2 UTILIZING MODIS SATELLITE OBSERVATIONS IN NEAR-REAL-TIME TO IMPROVE AIRNow NEXT DAY FORECAST OF FINE PARTICULATE MATTER, PM2.5 James Szykman*, John White US EPA, Office of Air Quality Planning and
AERMOD Sensitivity to AERSURFACE Moisture Conditions and Temporal Resolution. Paper No Prepared By:
AERMOD Sensitivity to AERSURFACE Moisture Conditions and Temporal Resolution Paper No. 33252 Prepared By: Anthony J Schroeder, CCM Managing Consultant TRINITY CONSULTANTS 7330 Woodland Drive Suite 225
Modeling Radiological Consequences of Sever Accidents in BWRs: Review of Models Development, Verification and Validation
Modeling Radiological Consequences of Sever Accidents in BWRs: Review of Models Development, Verification and Validation Mohamed GAHEEN Department of Research on Nuclear Safety and Radiological Emergencies,
Forecasting of Optical Turbulence in Support of Realtime Optical Imaging and Communication Systems
Forecasting of Optical Turbulence in Support of Realtime Optical Imaging and Communication Systems Randall J. Alliss and Billy Felton Northrop Grumman Corporation, 15010 Conference Center Drive, Chantilly,
Evaluation and Improvement of Smoke Plume Rise Models
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln JFSP Research Project Reports U.S. Joint Fire Science Program 2011 Evaluation and Improvement of Smoke Plume Rise Models
Climate Modeling Issues at GFDL on the Eve of AR5
Climate Modeling Issues at GFDL on the Eve of AR5 Leo Donner, Chris Golaz, Yi Ming, Andrew Wittenberg, Bill Stern, Ming Zhao, Paul Ginoux, Jeff Ploshay, S.J. Lin, Charles Seman CPPA PI Meeting, 29 September
A PRESCRIBED BURN DECISION SUPPORT SYSTEM FOR THE KANSAS FLINT HILLS REGION
A PRESCRIBED BURN DECISION SUPPORT SYSTEM FOR THE KANSAS FLINT HILLS REGION Kenneth Craig*, Clinton MacDonald, Neil Wheeler, Alan Healy, and Patrick Zahn Sonoma Technology, Inc., Petaluma, California,
Evaluation of WRF-Sfire Performance with Field Observations from the FireFlux experiment
Evaluation of WRF-Sfire Performance with Field Observations from the FireFlux experiment Adam K. Kochanski 1, Mary Ann Jenkins 1,4, Jan Mandel 2, Jonathan D. Beezley 2, Craig B. Clements 3, Steven Krueger
WRF-Fire. Janice Coen. WRF Users' Tutorial! Mesoscale & Microscale Meteorological Division / NCAR
WRF-Fire Janice Coen 1 Introduction! WRF-Fire is a physics package within WRF ARW that allows users to model the growth of a wildland fire! Fire responds to environmental conditions: terrain slope, fuel
WRF-Fire: A physics package for modeling wildland fires
WRF-Fire: A physics package for modeling wildland fires Janice Coen NCAR Mesoscale and Microscale Meteorology Division 1 l l l Introduction WRF-Fire is a physics package within WRF ARW that allows users
APPLICATION OF CCNY LIDAR AND CEILOMETERS TO THE STUDY OF AEROSOL TRANSPORT AND PM2.5 MONITORING
P1.14 APPLICATION OF CCNY LIDAR AND CEILOMETERS TO THE STUDY OF AEROSOL TRANSPORT AND PM2.5 MONITORING Leona A. Charles*, Shuki Chaw, Viviana Vladutescu, Yonghua Wu, Fred Moshary, Barry Gross, Stanley
Spectrum of Radiation. Importance of Radiation Transfer. Radiation Intensity and Wavelength. Lecture 3: Atmospheric Radiative Transfer and Climate
Lecture 3: Atmospheric Radiative Transfer and Climate Radiation Intensity and Wavelength frequency Planck s constant Solar and infrared radiation selective absorption and emission Selective absorption
On plume rise matching Daysmoke with Briggs Equations for industrial stacks
On plume rise matching Daysmoke with Briggs Equations for industrial stacks Gary L. Achtemeier USDA Forest Service/Forest Sciences Laboratory 30 Green St., Athens, GA, 3060 USA gachtemeier@fs.fed.us The
The regional distribution characteristics of aerosol optical depth over the Tibetan Plateau
The regional distribution characteristics of aerosol optical depth over the Tibetan Plateau C. Xu, Y. M. Ma, CAS Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences xuchao@itpcas.ac.cn
Rapid formation and evolution of an extreme haze episode in
Supplementary Information Rapid formation and evolution of an extreme haze episode in Northern China during winter 1 Yele Sun 1,*, Chen Chen 1,, Yingjie Zhang 1,, Weiqi Xu 1,3, Libo Zhou 1, Xueling Cheng
Dynamic Inference of Background Error Correlation between Surface Skin and Air Temperature
Dynamic Inference of Background Error Correlation between Surface Skin and Air Temperature Louis Garand, Mark Buehner, and Nicolas Wagneur Meteorological Service of Canada, Dorval, P. Quebec, Canada Abstract
ESE / GE 148a: Introduction to Climate. Organizational Details - I
ESE / GE 148a: Introduction to Climate Organizational Details - I TA: Tim Merlis and Zhihong Tan Tim is a graduate student in Environmental Science and Engineering and is currently working on climate dynamics
Lecture 3: Atmospheric Radiative Transfer and Climate
Lecture 3: Atmospheric Radiative Transfer and Climate Solar and infrared radiation selective absorption and emission Selective absorption and emission Cloud and radiation Radiative-convective equilibrium
Numerical Weather Prediction. Meteorology 311 Fall 2010
Numerical Weather Prediction Meteorology 311 Fall 2010 Closed Set of Equations Same number of equations as unknown variables. Equations Momentum equations (3) Thermodynamic energy equation Continuity equation
Land Data Assimilation at NCEP NLDAS Project Overview, ECMWF HEPEX 2004
Dag.Lohmann@noaa.gov, Land Data Assimilation at NCEP NLDAS Project Overview, ECMWF HEPEX 2004 Land Data Assimilation at NCEP: Strategic Lessons Learned from the North American Land Data Assimilation System
A Global Atmospheric Model. Joe Tribbia NCAR Turbulence Summer School July 2008
A Global Atmospheric Model Joe Tribbia NCAR Turbulence Summer School July 2008 Outline Broad overview of what is in a global climate/weather model of the atmosphere Spectral dynamical core Some results-climate
Atmospheric Boundary Layers
Lecture for International Summer School on the Atmospheric Boundary Layer, Les Houches, France, June 17, 2008 Atmospheric Boundary Layers Bert Holtslag Introducing the latest developments in theoretical
Creating Meteorology for CMAQ
Creating Meteorology for CMAQ Tanya L. Otte* Atmospheric Sciences Modeling Division NOAA Air Resources Laboratory Research Triangle Park, NC * On assignment to the National Exposure Research Laboratory,
Definitions Weather and Climate Climates of NYS Weather Climate 2012 Characteristics of Climate Regions of NYS NYS s Climates 1.
Definitions Climates of NYS Prof. Anthony Grande 2012 Weather and Climate Weather the state of the atmosphere at one point in time. The elements of weather are temperature, t air pressure, wind and moisture.
New Generation Aerosol Satellite Products for Air Quality Mapping and Analysis
New Generation Aerosol Satellite Products for Air Quality Mapping and Analysis Amy K. Huff Penn State University 2017 MARAMA Air Quality Monitoring Training Workshop November 3, 2017 Satellites Identify
Convective-scale NWP for Singapore
Convective-scale NWP for Singapore Hans Huang and the weather modelling and prediction section MSS, Singapore Dale Barker and the SINGV team Met Office, Exeter, UK ECMWF Symposium on Dynamical Meteorology
Description of the fire scheme in WRF
Description of the fire scheme in WRF March 8, 2010 1 Introduction The wildland fire model in WRF is an implementation of the semi-empirical fire propagation model developed in Coen (2005) and Clark et
Simulations of Midlatitude and Tropical Out-of-Cloud Convectively-Induced Turbulence
Simulations of Midlatitude and Tropical Out-of-Cloud Convectively-Induced Turbulence Katelyn Barber University of North Dakota Turbulence Impact Mitigation Workshop 2018 katelyn.barber@und.edu 1 Zovko-Rajak
Improved rainfall and cloud-radiation interaction with Betts-Miller-Janjic cumulus scheme in the tropics
Improved rainfall and cloud-radiation interaction with Betts-Miller-Janjic cumulus scheme in the tropics Tieh-Yong KOH 1 and Ricardo M. FONSECA 2 1 Singapore University of Social Sciences, Singapore 2
JOURNAL OF INTERNATIONAL ACADEMIC RESEARCH FOR MULTIDISCIPLINARY Impact Factor 1.393, ISSN: , Volume 2, Issue 4, May 2014
Impact Factor 1.393, ISSN: 3583, Volume, Issue 4, May 14 A STUDY OF INVERSIONS AND ISOTHERMALS OF AIR POLLUTION DISPERSION DR.V.LAKSHMANARAO DR. K. SAI LAKSHMI P. SATISH Assistant Professor(c), Dept. of
Cities & Storms: How Land Use, Settlement Patterns, and the Shapes of Cities Influence Severe Weather
Cities & Storms: How Land Use, Settlement Patterns, and the Shapes of Cities Influence Severe Weather Geoffrey M. Henebry, South Dakota State University, Synoptic Ecology David J. Stensrud, Pennsylvania
Introduction to climate modeling. ECOLMAS Course 1-4 April 2008
Introduction to climate modeling ECOLMAS Course 1-4 April 2008 Course description Goal: To equipe you with a comfortable basic knowledge in the trade of climate modeling Course web site: http://www.geo.unibremen.de/~apau/ecolmas_modeling2
A Discussion on The Effect of Mesh Resolution on Convective Boundary Layer Statistics and Structures Generated by Large-Eddy Simulation by Sullivan
耶鲁 - 南京信息工程大学大气环境中心 Yale-NUIST Center on Atmospheric Environment A Discussion on The Effect of Mesh Resolution on Convective Boundary Layer Statistics and Structures Generated by Large-Eddy Simulation
Wind Erosion from Soils Burned by Wildfire
Wind Erosion from Soils Burned by Wildfire Natalie Wagenbrenner 1,3 Matthew Germino 2, Brian Lamb 3, Peter Robichaud 1, Randy Foltz 1 1 Rocky Mountain Research Station, 2 USGS, 3 Washington State University
A. Parodi 1, (1) CIMA Research Foundation, Italy. in cooperation with: K. A. Emanuel 2, and E. Foufoula-Georgiou 3 (2) EAPS, MIT, USA
Spatial and temporal evolution of deep moist convective processes: the role of microphysics A. Parodi 1, (1) CIMA Research Foundation, Italy in cooperation with: K. A. Emanuel 2, and E. Foufoula-Georgiou