1 / 4

Section 1 Acknowledgments

Section 1 Acknowledgments. Preface.

jimbo
Download Presentation

Section 1 Acknowledgments

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Section 1Acknowledgments

  2. Preface The World Meteorological Organization (WMO) welcomes comments, suggestions, and any example analyses, new material, new exercises, or additional references that might enhance the course. Participants should keep in mind that this course provides basic knowledge to begin air quality forecasting and describes methods to improve existing forecasting programs; it is not meant to show the only way to forecast air quality. Section 1 – Acknowledgments

  3. Acknowledgments • The developers of this course, Timothy S. Dye, Dianne S. Miller, Liisa Jalkanen, Greg Carmichael, Peter Manins, Roberto San Jose, Rainer Schmitz, Bob Bornstein, Sue Grimmond, and Sarath K. Guttikunda thank the people who have contributed comments, ideas, and examples to this course: • Bill Ryan (Penn State University) • Lourdes B. Avilés (Plymouth State University) • Lewis Weinstock (U.S. Environmental Protection Agency) • Hilary Hafner, Paul Roberts, Neal Conatser, Dave Vaughn (Sonoma Technology, Inc. [STI]) Section 1 – Acknowledgments

  4. Reference to Other Resources • This course utilizes resources from several existing courses and documents about air quality forecasting • 1. Forecasting Guidance Document • U.S. Environmental Protection Agency’s (EPA) Ozone and Particulate Matter Forecasting Guidance Document (U.S. Environmental Protection Agency, 2003) • 2. Training Workshops and Courses • Annual air quality forecasting courses for the EPA in San Francisco, California (2005); Baltimore, Maryland (2004); San Antonio, Texas (2003); San Francisco, California (2002) (U.S. Environmental Protection Agency, 2003-2006) • Penn State University, METEO 497A, Air Quality Forecasting (Bill Ryan) • Plymouth State University (Avilés, 2006) • PM2.5 Data Analysis Workbook (Main and Roberts, 2001) Section 1 – Acknowledgments

More Related