WRAP CAMx-PSAT Source Apportionment Modeling Results
|
|
|
- Marilynn Johnston
- 6 years ago
- Views:
Transcription
1 WRAP CAMx-PSAT Source Apportionment Modeling Results Implementation Workgroup Meeting August 29, 26
2 Source Apportionment Technique Regional gridded photochemical CAMx air quality aerosol model with PM Source Apportionment Technology (PSAT) Similar to CMAQ TSSA method used in AoH Phase I report, best available modeling analysis technique for source apportionment PSAT completed for 2 cases: Plan2c 2-4 average fire emissions, same time & place 2-3 CAMD sources monthly average SOx/NOx profiles by state Base18b rules on the books controls and growth Tracked sources of sulfate and nitrate Tracking organic carbon too computationally intensive
3 Organic Carbon Source Apportionment PSAT work does not include treatment of primary & secondary organic aerosols: CMAQ already completed includes 3 OC species primary organic aerosols anthropogenic secondary organic aerosols biogenic secondary organic aerosols Analysis of these species for the various existing model runs will provide additional information on OC apportionment
4 Source Apportionment Modeling White paper describing CAMx PSAT modeling: Table 1. Benchmarks for PSAT computational costs for each PM species. Run time is for one day (1/2/22) of the WRAP 36-km domain. Species Number of species Tracers RAM Memory Disk Storage per day Run Time with 1 CPU no OMP Run Time with 2 CPU OMP SO GB 1.1 GB 4.7 hr/day 4 hr/day NO GB 2.6 GB 13.2 hr/day Not tested SO4 & NO3 combined GB 3.3 GB 16.8 hr/day Not tested SOA GB Not tested Not tested Not tested Primary PM species GB 3. GB 1.8 hr/day Not tested
5 PSAT: 18 Source Regions on a 36 km Grid plus Initial and
6 PSAT: 6 Source Categories PT MV ANF Natural NWF AR Point sources Mobile sources WRAP anthropogenic fires WRAP natural fires and biogenics Elevated fires in other RPOs All other sources (non-elevated fires in other RPOs, area sources, offshore, oil & gas area sources, etc.) Examples of PSAT results: source by region : MV_CO = mobile sources in Colorado PT_CE = point sources in
7 Status of PSAT Modeling Plan2c & Base18b just completed last week Results presented here are examples Direct access to all results & custom displays available through TSS - later in this talk Results on RMC web page include: Preconfigured bar charts & maps of monthly average source contributions by region Contributing sources & regions on 2% best & 2% worst visibility days at each Class I area See: Table 2. CAMx Visibility Modeling and Source Apportionment Results.
8 Example Contributing Source Categories on 2% Worst Days Agua Tibia, CA Salt Creek, NM AGTI1 SO4 Source Type PSAT Apport ionment, 2% Worst Days Area Point Mobile (on-road and off-r.. Anthropogenic Fires (W.. Non-WRAP fires Natural Emissions (W RAP Boundary Conditio n SACR1 SO4 Source Type PSAT Apport ionment, 2% Worst Days Area Point Mobile (on-road and off-r.. Anthropogenic Fires (W.. Non-WRAP fires Natural Emissions (W RAP Boundary Conditio n AGTI1 NO3 SACR1 NO3 Source Type PSAT Apportionment, 2% Worst Days Source Type PSAT Apport ionment, 2% Worst Days Area Point Mobile (on-road and off-r.. Anthropogenic Fires (W... Non-WRAP fires Natural Emissions (WRAP Area Point Mobile (on-road and off-r... Anthropogenic Fires (W... Non-WRAP fires Natural Emissions (W RAP Boundary Conditio ns
9 Example Contributing Source Categories on 2% Worst Days Badlands, SD Sawtooth, ID BADL1 SO4 Source Type PSAT Apport ionment, 2% Worst Days Area Point Mobile (on-road and off-r.. Anthropogenic Fires (W.. Non-WRAP fires Natural Emissions (W RAP Boundary Conditio n SAWT1 SO4 Source Type PSAT Apportionment, 2% Worst Days Area Point Mobile (on-road and off-r.. Anthropogenic Fires (W.. Non-WRAP fires Natural Emissions (WRAP Bou ndary Cond itio ns BADL1 NO3 Source Type PSAT Apport ionment, 2% Worst Days SAWT1 NO3 Source Type PSAT Apport ionment, 2% Worst Days Area Point Mobile (on-road and off-r. Anthropogenic Fires (W. Non-WRA P fires Natural Emissions (W RA Boundary Cond ition Initial Condition Area Point Mobile (on-road and off-r. Anthrop ogenic Fires (W.. Non-WRAP fires Natural Emissions (WRA Bou ndary Cond itio n Initial Condition
10 Example Top 1 Contributing Source Regions on 2% Worst Days Agua Tibia, CA Salt Creek, NM AGTI1 SO4 Top 1 PSAT Apport ionment, 2% Worst Days AGTI1 NO3 Top 1 PSAT Apport ionment, 2% Worst Days SACR1 SO 4 Top 1 PSAT Apportionment, 2% Worst Days (A re a) (Point) Boundary Conditio n California (Point) California (Mobile) California (Area) (Area) (Point) (M obile California (Natural Emissi Other (Point) (Point) (Point) New (Point) (Area) Arizona (Point) (Point) (Area) Other SACR1 NO3 Top 1 PSAT Apport ionment, 2% Worst Days California (Mo bil (M obil Pacific O ffshore (A re California (Area California (P oin Bou ndary Conditio Pac ific Offs hore (P oin California (Natural Emissi (Mobile Oregon (Mobile Other (Poin (Mobil New Mex ic o (Poin New (Mobil New Mex ic o (Area Boundary Conditio (Area New (Natural E m (Na tura l Em iss Ariz ona (Mobile Other
11 Example Top 1 Contributing Source Regions on 2% Worst Days Badlands, SD Sawtooth, ID BADL1 SO4 Top 1 PSAT Apportionment, 2% Worst Days SAWT1 SO4 Top 1 PSAT Apport ionment, 2% Worst Days (Point) (Point) (Point) North Dakota (Point) Wyoming (Point) (Area) Montana (Point) (Point) Colorado (Point) Other BADL1 NO3 Top 1 PSAT Apportionment, 2% Worst Days Boundary Conditio ns (Mobile) (Point) South Dakota (Mobile) (Mobile) Wyoming (Point) (Area) North Dakota (Point) Wyoming (Mobile) North Dakota (Mobile) Other Boundary Condition Oregon (Point) Washington (Point (Point Idaho (Natu ral Emissio Oreg on (Natural Emissio (Area Idaho (Point) Idaho (Mobile) Wa shington (Mobil O ther SAWT1 NO3 Top 1 PSAT Apport ionment, 2% Worst Days Boundary Conditio n Idaho (M obile) Oregon (Mobile) Washington (Mobile Idaho (A rea) Idaho (Natural Emission California (Mobile (Mobile Washington (Natural Emi Oregon (Anthropogenic F Other
12 Example Contributing Source Regions on 2% Worst Days Agua Tibia, CA Salt Creek, NM AGTI1 SO4 Source Region PSAT Apportionment, 2% Worst Days California Colorado Idaho Montana New North Dakota Oregon South Dakota Utah Washington Wyoming AGTI1 NO3 Source Region PSAT Apportionment, 2% Worst Days Arizona California Colorado Idaho Montana New North Dakota Oregon South Dakota Utah Washington Wyoming Arizona SACR1 SO4 Source Region PSAT Apportionment, 2% Worst Days Arizona California Colorado Idaho Montana New North Dakota Oregon South Dakota Utah Washington Wyoming NO3 Apportionm ent (µg/m 3 ) SO4 Apportionm ent (µg/m 3 ) SO4 Apportionm ent (µg/m 3 ) SACR1 NO3 Source Region PSAT Apportionment, 2% Worst Days NO3 Apportionm ent (µg/m 3 ).2 Arizona California Colorado Idaho Montana New North Dakota Oregon South Dakota Utah Washington Wyoming
13 Example Contributing Source Regions on 2% Worst Days Badlands, SD Sawtooth, ID BADL1 SO4 Source Region PSAT Apportionment, 2% Worst Days California Colorado Idaho Montana New North Dakota Oregon South Dakota Utah Washington Wyoming Boundary Condition BADL1 NO3 Source Region PSAT Apportionment, 2% Worst Days California Colorado Idaho Montana New North Dakota Oregon South Dakota Utah Washington Wyoming Boundary Condition Arizona Arizona SAWT1 SO4 Source Region PSAT Apportionment, 2% Worst Days Arizona California Colorado Idaho Montana New North Dakota Oregon South Dakota Utah Washington Wyoming Boundary Condition NO3 Apportionm ent (µg/m 3 ) SO4 Apportionm ent (µg/m 3 ) SO4 Apportionm ent (µg/m 3 ) SAWT1 NO3 Source Region PSAT Apportionment, 2% Worst Days NO3 Apportionm ent (µg/m 3 ) Arizona California Colorado Idaho Montana New North Dakota Oregon South Dakota Utah Washington Wyoming Boundary Condition
14 Example Contributing Source Controllability on 2% Worst Days Agua Tibia, CA Salt Creek, NM AGTI1 SO4 Controllability PSAT Apportionment, 2% Worst Days SACR1 SO4 Controllability PSAT Apportionment, 2% Worst Days WRAP (Anthropogenic WRAP (Natural) Boundary Conditio n WRAP (Anthropogenic) WRAP (Natural) AGTI1 NO3 Cont rollabilit y PSAT Apport ionment, 2% Worst Days.25.2 SACR1 NO3 Controllability PSAT Apportionment, 2% Worst Days WRAP (Anthropogenic WRAP (Natural) Bou ndary Cond itio ns WRAP (Anthropogenic) WRAP (Natural)
15 Example Contributing Source Controllability on 2% Worst Days Badlands, SD Sawtooth, ID BADL1 SO4 Controllability PSAT Apportionment, 2% Worst Days SAWT1 SO4 Controllability PSAT Apportionment, 2% Worst Days WRAP (Anthropogenic) WRAP (Natural) BADL1 NO3 Controllability PSAT Apportionment, 2% Worst Days WRAP (Anthropogenic WRAP (Natural) Boundary Condition WRAP (Anthropogenic) WRAP (Natural) SAWT1 NO3 Controllability PSAT Apportionment, 2% Worst Days WRAP (Anthropogenic) WRAP (Natural)
16 Example Monthly Average Source Contribution Maps
17 Example Monthly Average Source Contribution Maps
18 Example Monthly Average Source Contribution Maps
19 Example Monthly Average Source Contribution Maps
20 PSAT: Errors/Uncertainties Additional errors have been discovered in the emissions inventories: Base18b non-wrap EGU emissions were underestimated. PM2.5 emissions in the WRAP road dust inventory. RNC is evaluating the effects of these errors.
21 Effects of non-wrap EGU error July August September
22 Effect on PSAT results of non-wrap EGU error Air quality prediction effects on WRAP states are relatively small. Small overestimate of base case progress in for eastern tier of WRAP region states. Base18b sufficient as starting point for development of regional haze control strategies Will correct non-wrap region EGU error in Control18 series of modeling simulations in 27
23 WRAP TSS PSAT Display Tool
CAMx-PSAT Source Apportionment Modeling Results. Stationary Sources Joint Forum Salt Lake City, UT August 17, 2006
CAMx-PSAT Source Apportionment Modeling Results Stationary Sources Joint Forum Salt Lake City, UT August 17, 2006 Source Apportionment Technique CAMx air quality model with PM Source Apportionment Technology
WRAP 2002 Visibility Modeling: Emission, Meteorology Inputs and CMAQ Performance Evaluation
WRAP 2002 Visibility Modeling: Emission, Meteorology Inputs and CMAQ Performance Evaluation Gail Tonnesen, Bo Wang, Chao-Jung Chien, Zion Wang, Mohammad Omary University of California, Riverside Zac Adelman,
Preliminary Conceptual Model Development
Preliminary Conceptual Model Development Develop preliminary conceptual models regarding the sources of haze at every Class I area in the WRAP region Site-specific summaries of the descriptive material
Attribution of Haze Report (Phase I) Geographic Attribution for the Implementation of the Regional Haze Rule
Attribution of Haze Report (Phase I) Geographic Attribution for the Implementation of the Regional Haze Rule Prepared for the: Western Regional Air Partnership Western Governors Association 1515 Cleveland
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
OVERVIEW OF CMAQ 5.0 AND CAMX 5.4 5/17/2012 1
OVERVIEW OF 5.0 AND CAMX 5.4 5/17/2012 1 Modeling Photochemical models are numerical models that simulate the emission, chemical transformation, transport, and deposition of gases and aerosols Advances
Update on IMPROVE Light Extinction Equation and Natural Conditions Estimates. Tom Moore, WRAP Technical Coordinator. May 23, 2006
Update on IMPROVE Light Extinction Equation and Natural Conditions Estimates Tom Moore, WRAP Technical Coordinator May 23, 2006 OR. Defining Regional Haze Impacts with Aerosol Sampling Data AND. Knowing
Regional Modeling Center Progress Report
Regional Modeling Center Progress Report October 11, 2007 Gail Tonnesen, University of California, Riverside Ralph Morris, ENVIRON Corporation Int., Novato, CA Zac Adelman, University of North Carolina
Testing MOSAIC aerosol scheme implemented in CESM and evaluation with observations
Testing MOSAIC aerosol scheme implemented in CESM and evaluation with observations Zheng Lu, Xiaohong Liu University of Wyoming Rahul A. Zaveri, Balwinder Singh, Richard Easter, Phil Rasch Pacific Northwest
SCICHEM: A Puff Model with Chemistry. Part 2: Ozone and Particulate Matter
SCICHEM: A Puff Model with Chemistry Part 2: Ozone and Particulate Matter Eladio Knipping, Naresh Kumar Environment Sector Electric Power Research Institute Presentation at EPA Regional, State and Local
March 1, 2003 Western Snowpack Conditions and Water Supply Forecasts
Natural Resources Conservation Service National Water and Climate Center 101 SW Main Street, Suite 1600 Portland, OR 97204-3224 Date: March 17, 2003 Subject: March 1, 2003 Western Snowpack Conditions and
Draft Report. Prepared for: Regional Air Quality Council 1445 Market Street, Suite 260 Denver, Colorado Prepared by:
Draft Report Evaluation of Preliminary MM5 Meteorological Model Simulation for the June-July 2006 Denver Ozone SIP Modeling Period Focused on Colorado Prepared for: Regional Air Quality Council 1445 Market
Summary of Natural Hazard Statistics for 2008 in the United States
Summary of Natural Hazard Statistics for 2008 in the United States This National Weather Service (NWS) report summarizes fatalities, injuries and damages caused by severe weather in 2008. The NWS Office
Recent Ozone Modeling Results
Recent Ozone Modeling Results Presentation by: Dan Goldberg, Ph.D. Candidate Co-authors: Tim Canty, Tim Vinciguerra, Ross Salawitch & Russ Dickerson Presented at the MARAMA Science Meeting Wednesday July
Development of Operational Air Quality MM5-MOS Equations for the San Joaquin Valley Air Pollution Control District
Program for Climate, Ecosystem and Fire Applications Development of Operational Air Quality MM5-MOS Equations for the San Joaquin Valley Air Pollution Control District Final Report Hauss J. Reinbold Timothy
PRELIMINARY EXPERIENCES WITH THE MULTI-MODEL AIR QUALITY FORECASTING SYSTEM FOR NEW YORK STATE
PRELIMINARY EXPERIENCES WITH THE MULTI-MODEL AIR QUALITY FORECASTING SYSTEM FOR NEW YORK STATE Prakash Doraiswamy 1,,*, Christian Hogrefe 1,2, Winston Hao 2, Brian Colle 3, Mark Beauharnois 1, Ken Demerjian
The following information is provided for your use in describing climate and water supply conditions in the West as of April 1, 2003.
Natural Resources Conservation Service National Water and Climate Center 101 SW Main Street, Suite 1600 Portland, OR 97204-3224 Date: April 8, 2003 Subject: April 1, 2003 Western Snowpack Conditions and
J4.2 ASSESSMENT OF PM TRANSPORT PATTERNS USING ADVANCED CLUSTERING METHODS AND SIMULATIONS AROUND THE SAN FRANCISCO BAY AREA, CA 3.
J4.2 ASSESSMENT OF PM TRANSPORT PATTERNS USING ADVANCED CLUSTERING METHODS AND SIMULATIONS AROUND THE SAN FRANCISCO BAY AREA, CA Scott Beaver 1*, Ahmet Palazoglu 2, Angadh Singh 2, and Saffet Tanrikulu
Integrated Science I: Locating earthquake epicenters. Name Per Date
Integrated Science I: Locating earthquake epicenters. Name Per Date Whenever a significant earthquake occurs somewhere in the world, news media present reports about two issues; the size or magnitude of
Implementation and evaluation of PM2.5 source contribution analysis in a photochemical model
Implementation and evaluation of PM2.5 source contribution analysis in a photochemical model Roger Kwok 1, Sergey Napelenok 1, Kirk Baker 2 1. ORD/NERL/AMAD, U.S. EPA, Research Triangle Park, NC 2. OAQPS,
Causes of Haze Assessment
Causes of Haze Assessment Presented at the RPO National Technical Workgroup Meeting November 5, 2003 Dave DuBois Desert Research Institute Acknowledgements WRAP Air Monitoring & Reporting Forum Chair Marc
Aerosol type how to use the information from satellites for models???
Aerosol type how to use the information from satellites for models??? Mian Chin, NASA Goddard Space Flight Center AeroCom/AeroSat workshop, September 2016 What does type mean? Satellite Estimated based
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
Preliminary Experiences with the Multi Model Air Quality Forecasting System for New York State
Preliminary Experiences with the Multi Model Air Quality Forecasting System for New York State Prakash Doraiswamy 1, Christian Hogrefe 1,2, Winston Hao 2, Brian Colle 3, Mark Beauharnois 1, Ken Demerjian
Figure 1. A terrain map of Texas and Mexico as well as some major cites and points of interest to the BRAVO study.
Big Bend Regional Aerosol and Visibility Observational (BRAVO) Study Results: Air Quality Data and Source Attribution Analyses Results from the National Park Service / Cooperative Institute for Research
New Educators Campaign Weekly Report
Campaign Weekly Report Conversations and 9/24/2017 Leader Forms Emails Collected Text Opt-ins Digital Journey 14,661 5,289 4,458 7,124 317 13,699 1,871 2,124 Pro 13,924 5,175 4,345 6,726 294 13,086 1,767
Regional modelling and assessment of atmospheric particulate matter concentrations at rural background locations in Europe
Regional modelling and assessment of atmospheric particulate matter concentrations at rural background locations in Europe Goran Gašparac 1, Amela Jeričević 2 Prashant Kumar 3 1 Geophysical and Ecological
Jakarta International School 6 th Grade Formative Assessment Graphing and Statistics -Black
Jakarta International School 6 th Grade Formative Assessment Graphing and Statistics -Black Name: Date: Score : 42 Data collection, presentation and application Frequency tables. (Answer question 1 on
Supplement of Photochemical grid model implementation and application of VOC, NO x, and O 3 source apportionment
Supplement of Geosci. Model Dev., 8, 99 114, 2015 http://www.geosci-model-dev.net/8/99/2015/ doi:10.5194/gmd-8-99-2015-supplement Author(s) 2015. CC Attribution 3.0 License. Supplement of Photochemical
The Effect of Future Climate Change on Aerosols: Biogenic SOA and Inorganics
The Effect of Future Climate Change on Aerosols: Biogenic SOA and Inorganics GCAP Phase 2 Science Team Meeting October 12, 2007 Havala O. T. Pye 1, Hong Liao 2, John Seinfeld 1, Shiliang Wu 3, Loretta
Haze Communication using the CAMNET and IMPROVE Archives: Case Study at Acadia National Park
Haze Communication using the CAMNET and IMPROVE Archives: Case Study at Acadia National Park Light absorption by fine Light scattering by fine Clear line of sight in absence of fine Light extinction is
U.S. Hard Red Winter Wheat Crop Update
U.S. Hard Red Winter Wheat Crop Update 2015 Summer Meeting and Technical Conference JULY 31 Mark Hodges Plains Grains, Inc. Overview 2015 HRW wheat crop early information Growing conditions and production
Weather and Climate Summary and Forecast Winter
Weather and Climate Summary and Forecast Winter 2016-17 Gregory V. Jones Southern Oregon University December 5, 2016 Well after an October that felt more like November, we just finished a November that
Chapter. Organizing and Summarizing Data. Copyright 2013, 2010 and 2007 Pearson Education, Inc.
Chapter 2 Organizing and Summarizing Data Section 2.1 Organizing Qualitative Data Objectives 1. Organize Qualitative Data in Tables 2. Construct Bar Graphs 3. Construct Pie Charts When data is collected
Photo by Ben Huff EPA Regional/State/Local Modelers Workshop Deanna Huff, PhD Alaska Department of Environmental Conservation April 24, 2013
Photo by Ben Huff 2013 EPA Regional/State/Local Modelers Workshop Deanna Huff, PhD Alaska Department of Environmental Conservation April 24, 2013 Overview of the North Slope Deadhorse 2 Focus on conducting
Variability Across Space
Variability and Vulnerability of Western US Snowpack Potential impacts of Climactic Change Mark Losleben, Kurt Chowanski Mountain Research Station, University of Colorado Introduction The Western United
Aerosols AP sizes AP types Sources Sinks Amount and lifetime Aerosol radiative effects. Aerosols. Trude Storelvmo Aerosols 1 / 21
Aerosols Trude Storelvmo Aerosols 1 / 21 Aerosols: Definition Definition of an aerosol: disperse system with air as carrier gas and a solid or liquid or a mixture of both as disperse phases. Aerosol particles
What Lies Beneath: A Sub- National Look at Okun s Law for the United States.
What Lies Beneath: A Sub- National Look at Okun s Law for the United States. Nathalie Gonzalez Prieto International Monetary Fund Global Labor Markets Workshop Paris, September 1-2, 2016 What the paper
Source apportionment of fine particulate matter over the Eastern U.S. Part I. Source sensitivity simulations using CMAQ with the Brute Force method
S1 SUPPORTING MATERIAL Source apportionment of fine particulate matter over the Eastern U.S. Part I. Source sensitivity simulations using CMAQ with the Brute Force method Michael Burr and Yang Zhang Department
EVALUATION OF ORIGINAL AND IMPROVED VERSIONS OF CALPUFF USING THE 1995 SWWYTAF DATA BASE. Technical Report. Prepared by
EVALUATION OF ORIGINAL AND IMPROVED VERSIONS OF CALPUFF USING THE 1995 SWWYTAF DATA BASE Technical Report Prepared by Prakash Karamchandani, Shu-Yun Chen and Rochelle Balmori Atmospheric and Environmental
Responsibilities of Harvard Atmospheric Chemistry Modeling Group
Responsibilities of Harvard Atmospheric Chemistry Modeling Group Loretta Mickley, Lu Shen, Daniel Jacob, and Rachel Silvern 2.1 Objective 1: Compile comprehensive air pollution, weather, emissions, and
Spatial and Temporal Variability in Snowpack Controls: Two Decades of SnoTel Data from the Western U.S.
Spatial and Temporal Variability in Snowpack Controls: Two Decades of SnoTel Data from the Western U.S. Spatial and Temporal Variability in Snowpack Controls: Two Decades of SnoTel Data from the Western
Load Forecasting Technical Workshop. January 30, 2004
Load Forecasting Technical Workshop January 30, 2004 Agenda New Commercial Survey Results (20 Minutes) Changing Commercial Saturation s (20 Minutes) Conditional Demand Analysis (30 Minutes) Changing Commercial
Recent Ozone Modeling Results
Recent Ozone Modeling Results Presentation by: Dan Goldberg, Ph.D. Candidate Co-authors: Tim Canty, Tim Vinciguerra, Ross Salawitch & Russ Dickerson Presented at the MARAMA Science Meeting Wednesday July
Supplementary Appendix
Supplementary Appendix This appendix has been provided by the authors to give readers additional information about their work. Supplement to: Downs SH, Schindler C, Liu L-JS, et al. Reduced exposure to
Correction to Spatial and temporal distributions of U.S. winds and wind power at 80 m derived from measurements
JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 109,, doi:10.1029/2004jd005099, 2004 Correction to Spatial and temporal distributions of U.S. winds and wind power at 80 m derived from measurements Cristina L. Archer
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
Continuous measurement of airborne particles and gases
Continuous measurement of airborne particles and gases Jeff Collett and Taehyoung Lee Atmospheric Science Department Colorado State University Funding: USDA/AES and NPS Outline Why measure particles and
Update on Seasonal Conditions & Summer Weather Outlook
Update on Seasonal Conditions & Summer Weather Outlook Andy Bryant National Weather Service Portland, Oregon June 6, 2018 Overview Quick review of winter and spring conditions Seasonal water supply forecasts
Standard Indicator That s the Latitude! Students will use latitude and longitude to locate places in Indiana and other parts of the world.
Standard Indicator 4.3.1 That s the Latitude! Purpose Students will use latitude and longitude to locate places in Indiana and other parts of the world. Materials For the teacher: graph paper, globe showing
Annual mean AOT by MODIS/Terra in 2006
Annual mean AOT by MODIS/Terra in 2006 à Lack of measurements in China and India Motivation in/beyond the present study Measurements of aerosol UNEP/ABC-Asia Observatory compounds were limited over Asia,
Long range dust transport and its impact on US air quality
Long range dust transport and its impact on US air quality Sarah Lu 1, Youhua Tang 1, Ho Chun Huang 1, Jeff McQueen 1, Arlindo da Silva 2, Mian Chin 2, Marina Tsidulko 1, Jianping Huang 1 1 : NOAA NCEP
Parametric Test. Multiple Linear Regression Spatial Application I: State Homicide Rates Equations taken from Zar, 1984.
Multiple Linear Regression Spatial Application I: State Homicide Rates Equations taken from Zar, 984. y ˆ = a + b x + b 2 x 2K + b n x n where n is the number of variables Example: In an earlier bivariate
Transport of Asian ozone pollution into surface air over the western U.S. in spring. Meiyun Lin
HTAP, NASA JPL, 2/2/2012 Transport of Asian ozone pollution into surface air over the western U.S. in spring Meiyun Lin Lin, M., A. M. Fiore, L. W. Horowitz, O. R. Cooper, V. Naik, J. S. Holloway, B. J.
Putting Secondary Organic Aerosol in Global Models. Issues and Approaches
Putting Secondary Organic Aerosol in Global Models (and FRP s) Issues and Approaches Dean Hegg (University of Washington) Walter Sessions (NRL Monterey) Outline of Talk 1. The necessity of dealing with
Scientific Insight from CAMx & OSAT Modeling. Presented by: Dan Goldberg Thursday April 23 rd, 2015 Spring OTC Meeting
Scientific Insight from CAMx & OSAT Modeling Presented by: Dan Goldberg Thursday April 23 rd, 2015 Spring OTC Meeting Description of model used: CAMx v6.10 (12 km OTC model domain) EPA-approved regulatory
Weather and Climate Summary and Forecast January 2018 Report
Weather and Climate Summary and Forecast January 2018 Report Gregory V. Jones Linfield College January 5, 2018 Summary: A persistent ridge of high pressure over the west in December produced strong inversions
Impact of Wintertime SCR/SNCR Optimization on Visibility Impairing Nitrate Precursor Emissions
Impact of Wintertime SCR/SNCR Optimization on Visibility Impairing Nitrate Precursor Emissions MANE-VU Technical Support Committee November 20, 2017 Acknowledgements The paper has been the effort of MANE-VU
, District of Columbia
State Capitals These are the State Seals of each state. Fill in the blank with the name of each states capital city. (Hint: You may find it helpful to do the word search first to refresh your memory.),
Crop Progress. Corn Mature Selected States [These 18 States planted 92% of the 2017 corn acreage]
![Crop Progress. Corn Mature Selected States [These 18 States planted 92% of the 2017 corn acreage]](/thumbs/89/98128758.jpg "Crop Progress. Corn Mature Selected States [These 18 States planted 92% of the 2017 corn acreage]")
Crop Progress ISSN: 00 Released October, 0, by the National Agricultural Statistics Service (NASS), Agricultural Statistics Board, United s Department of Agriculture (USDA). Corn Mature Selected s [These
Causes of Haze Assessment
Causes of Haze Assessment Presented at the WRAP Technical Summit Meeting Tempe, AZ January 27, 2004 Mark Green, Dave DuBois, Jin Xiu, and Dan Freeman Desert Research Institute Marc Pitchford, NOAA and
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
Executive Summary Geologic Assessment of Undiscovered Oil and Gas Resources of the Eastern Great Basin Province, Nevada, Utah, Idaho, and Arizona
Chapter 1 Executive Summary Geologic Assessment of Undiscovered Oil and Gas Resources of the Eastern Great Basin Province, Nevada, Utah, Idaho, and Arizona By U.S. Geological Survey Eastern Great Basin
William Battye * EC/R Incorporated, Chapel Hill, NC. William Warren-Hicks, Ph.D. EcoStat, Inc., Mebane, NC
MODULATING EMISSIONS FROM ELECTRIC GENERATING UNITS AS A FUNCTION OF METEOROLOGICAL VARIABLES William Battye * EC/R Incorporated, Chapel Hill, NC William Warren-Hicks, Ph.D. EcoStat, Inc., Mebane, NC Steve
CW3E Atmospheric River Update
CW3E Atmospheric River Update Update on Late Season AR Forecast to Impact West Coast Later This Week - Little change from yesterday s forecast - Ensemble GFS members are still in good agreement of the
AGE AND GENDER CLASSIFICATION OF MERRIAM S TURKEYS FROM FOOT MEASUREMENTS
AGE AND GENDER CLASSIFICATION OF MERRIAM S TURKEYS FROM FOOT MEASUREMENTS Mark A. Rumble Todd R. Mills USDA Forest Service USDA Forest Service Rocky Mountain Forest and Range Experiment Station Rocky Mountain
IMPROVE Sampling & Analysis: Evaluation & Development
IMPROVE Sampling & Analysis: Evaluation & Development Chuck McDade Crocker Nuclear Laboratory University of California, Davis Okefenokee, Georgia October 2008 AEROSOL GENERATION CHAMBER Selected Species
NO X emissions, isoprene oxidation pathways, and implications for surface ozone in the Southeast United States
NO X emissions, isoprene oxidation pathways, and implications for surface ozone in the Southeast United States Katherine (Katie) Travis CMAS 216: 1/26/16 Co-authors: D. J. Jacob, J. A. Fisher, P. S. Kim,
National Wildland Significant Fire Potential Outlook
National Wildland Significant Fire Potential Outlook National Interagency Fire Center Predictive Services Issued: April 1, 2008 Next Issue: May 1, 2008 Wildland Fire Outlook April 2008 through July 2008
Printable Activity book
Printable Activity book 16 Pages of Activities Printable Activity Book Print it Take it Keep them busy Print them out Laminate them or Put them in page protectors Put them in a binder Bring along a dry
Implementation and Testing of EQUISOLV II in the CMAQ Modeling System
Implementation and Testing of EQULV II in the CMAQ Modeling System Yang Zhang North Carolina State University Mark Z. Jacobson Stanford University, Stanford, CA CMAQ, September 26-29, 25 Acknowledgments
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
5. Light Extinction In The Desert Southwest
5. Light Extinction In The Desert Southwest This chapter describes the spatial and temporal variations of light extinction and its components over the study area. 5.1 Principles of Light Extinction Perception
Club Convergence and Clustering of U.S. State-Level CO 2 Emissions
Methodological Club Convergence and Clustering of U.S. State-Level CO 2 Emissions J. Wesley Burnett Division of Resource Management West Virginia University Wednesday, August 31, 2013 Outline Motivation
National Wildland Significant Fire Potential Outlook
National Wildland Significant Fire Potential Outlook National Interagency Fire Center Predictive Services Issued: September, 2007 Wildland Fire Outlook September through December 2007 Significant fire
Intercity Bus Stop Analysis
by Karalyn Clouser, Research Associate and David Kack, Director of the Small Urban and Rural Livability Center Western Transportation Institute College of Engineering Montana State University Report prepared
The climate change penalty on US air quality: New perspectives from statistical models
The climate change penalty on US air quality: New perspectives from statistical models Charles River Path, Boston, July 2010 Salt Lake City, January 2013 Loretta J. Mickley, Lu Shen, Xu Yue Harvard University
Secondary organic aerosol from low-volatility and traditional VOC precursors
Secondary organic aerosol from low-volatility and traditional VOC precursors Havala Olson Taylor Pye 1,2 and John H. Seinfeld 1 1 Department of Chemical Engineering, California Institute of Technology
Chasing Aerosol Particles Down to Nano Sizes
Chasing Aerosol Particles Down to Nano Sizes ERC Seminar 13 June 2013 Armin Sorooshian Chemical & Environmental Engineering Atmospheric Sciences University of Arizona Outline of Talk 1. What are aerosol
Evidence for an increasing geographic region of influence on ozone air pollution in the eastern United States
Evidence for an increasing geographic region of influence on ozone air pollution in the eastern United States Presentation by: Dan Goldberg, Ph.D. Candidate Co-authors: Tim Canty, Tim Vinciguerra, Ross
Online Appendix: Can Easing Concealed Carry Deter Crime?
Online Appendix: Can Easing Concealed Carry Deter Crime? David Fortunato University of California, Merced dfortunato@ucmerced.edu Regulations included in institutional context measure As noted in the main
RELATIONSHIPS BETWEEN THE AMERICAN BROWN BEAR POPULATION AND THE BIGFOOT PHENOMENON
RELATIONSHIPS BETWEEN THE AMERICAN BROWN BEAR POPULATION AND THE BIGFOOT PHENOMENON ETHAN A. BLIGHT Blight Investigations, Gainesville, FL ABSTRACT Misidentification of the American brown bear (Ursus arctos,
2006 IRP Technical Workshop Load Forecasting Tuesday, January 24, :00 am 3:30 pm (Pacific) Meeting Summary
2006 IRP Technical Workshop Load Forecasting Tuesday, January 24, 2006 9:00 am 3:30 pm (Pacific) Meeting Summary Idaho Oregon Utah Teri Carlock (IPUC) Ming Peng (OPUC), Bill Wordley (OPUC) Abdinasir Abdulle
10.5 PROBABLISTIC LIGHTNING FORECASTS AND FUEL DRYNESS LEVEL FORECASTS IN THE GRAPHICAL FOREAST EDITOR: EXPANDED DOMAIN AND DISTRIBUTION FOR 2009
10.5 PROBABLISTIC LIGHTNING FORECASTS AND FUEL DRYNESS LEVEL FORECASTS IN THE GRAPHICAL FOREAST EDITOR: EXPANDED DOMAIN AND DISTRIBUTION FOR 2009 Chris V. Gibson 1*, and P. D. Bothwell 2, S. Sharples 3,
ATOC 3500/CHEM 3152 Week 9, March 8, 2016
ATOC 3500/CHEM 3152 Week 9, March 8, 2016 Hand back Midterm Exams (average = 84) Interaction of atmospheric constituents with light Haze and Visibility Aerosol formation processes (more detail) Haze and
North American Geography. Lesson 2: My Country tis of Thee
North American Geography Lesson 2: My Country tis of Thee Unit Overview: As students work through the activities in this unit they will be introduced to the United States in general, different regions
Northwest Outlook October 2016
Northwest Outlook October 2016 Rainfall Opportunities and Challenges Rainfall over the month of September presented some challenges for the fall harvest while other producers benefitted. Figure 1a shows
Global Change and Air Pollution (EPA-STAR GCAP) Daniel J. Jacob
Global Change and Air Pollution (EPA-STAR GCAP) and some more recent work on climate-aq interactions Daniel J. Jacob (djacob@fas.harvard.edu) with Eric M. Leibensperger, Shiliang Wu, Amos Tai, and Loretta
DISCOVER-AQ Houston as a case study for understanding spatial and temporal trends in urban particulate matter
DISCOVER-AQ Houston as a case study for understanding spatial and temporal trends in urban particulate matter Rebecca J. Sheesley and Sascha Usenko Department of Environmental Science, Baylor University,
Draft Wholesale Power Price Forecasts
Sixth & Electric Power Plan Draft Wholesale Power Price Forecasts Maury Galbraith Generating Resource Advisory Committee Meeting Portland, OR December 18, 28 Outline 1. Overall Perspective: Major AURORA
Aerosol modeling with WRF/Chem
Aerosol modeling with WRF/Chem Jan Kazil University of Colorado / NOAA Earth System Research Laboratory WRF/Chem Tutorial, 3 August 2015 (WRF/Chem 3.7) Part I - Introduction Overview of... Aerosol Aerosol
SUPPLEMENTAL NUTRITION ASSISTANCE PROGRAM QUALITY CONTROL ANNUAL REPORT FISCAL YEAR 2008
SUPPLEMENTAL NUTRITION ASSISTANCE PROGRAM QUALITY CONTROL ANNUAL REPORT FISCAL YEAR 2008 U.S. DEPARTMENT OF AGRICULTURE FOOD AND NUTRITION SERVICE PROGRAM ACCOUNTABILITY AND ADMINISTRATION DIVISION QUALITY
Three-State Air Quality Modeling Study (3SAQS) Weather Research Forecast (WRF) Meteorological Model Draft Modeling Protocol
Three-State Air Quality Modeling Study (3SAQS) Weather Research Forecast (WRF) Meteorological Model Draft Modeling Protocol Prepared by: ENVIRON International Corporation 773 San Marin Drive, Suite 2115
CMAQ and CAMx Overview and Recent Updates 2014 Midwest and Central States Air Quality Workshop
CMAQ and CAMx Overview and Recent Updates 2014 Midwest and Central States Air Quality Workshop Chris Emery April 23, 2014 Template CMAQ Overview Community Multi-scale Air Quality modeling system, v5.0.1
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
The aerosol distribution in Europe derived with CMAQ: comparison to near surface in situ and sunphotometer t measurements
Volker Matthias, GKSS Research Center, Geesthacht, Germany The aerosol distribution in Europe derived with CMAQ: comparison to near surface in situ and sunphotometer t measurements PAGE Page1 1 Outline
Source reconciliation of atmospheric dust causing visibility impairment in Class I areas of the western United States
JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 114,, doi:10.1029/2008jd009923, 2009 Source reconciliation of atmospheric dust causing visibility impairment in Class I areas of the western United States Ilias G.
7) Receptor Model Evaluation
7) Receptor Model Evaluation A test of the accuracy of any source attribution method is to determine how well it can reproduce known attributions. There are at least two known source attributions with
Telescope Network. Dr. Paul S. Hardersen North Dakota Space Grant National Space Grant Meeting
The Space Grant Internet Telescope Network Dr. Paul S. Hardersen North Dakota Space Grant National Space Grant Meeting Washington, D.C. March 3, 2007 The concept What? Establish a national network of Internet
Weather and Climate Summary and Forecast Summer 2017
Weather and Climate Summary and Forecast Summer 2017 Gregory V. Jones Southern Oregon University August 4, 2017 July largely held true to forecast, although it ended with the start of one of the most extreme