Main Title |
Documentation of the evaluation of CALPUFF and other long range transport models using tracer field experiment data / |
Other Authors |
|
CORP Author |
ENVIRON International Corp., Novato, CA.; Environmental Protection Agency, Research Triangle Park, NC. Office of Air Quality Planning and Standards.; ENVIRON International Corporation. |
Publisher |
U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, Air Quality Assessment Division, Air Quality Modeling Group, |
Year Published |
2012 |
Report Number |
EPA/454/R-12/003 |
Stock Number |
PB2012-110748 |
OCLC Number |
795194547 |
Subjects |
Air--Pollution--Computer simulation ;
Atmospheric diffusion--Computer simulation ;
Air quality--Measurement ;
Air--Pollution--Mathematical models ;
Atmospheric diffusion--Mathematical models
|
Additional Subjects |
Air pollution dispersion ;
Long range transport ;
Air quality ;
Atmospheric diffusion ;
Meteorological data ;
Mathematical models ;
Documentation ;
Environmental transport ;
Tracer techniques ;
Weather observations ;
CALPUFF computer model
|
Internet Access |
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
EKBD |
EPA-454/R-12-003 |
|
Research Triangle Park Library/RTP, NC |
06/18/2012 |
NTIS |
PB2012-110748 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
Collation |
148, 10, 7, 42 p. ill. (some col.), charts ; 28 cm. |
Abstract |
The CALPUFF Long Range Transport (LRT) air quality dispersion modeling system is evaluated against several atmospheric tracer field experiments. Meteorological inputs for CALPUFF were generated using MM5 prognostic meteorological model processed using the CALMET diagnostic wind model with and without meteorological observations. CALPUFF meteorological inputs were also generated using the Mesoscale Model Interface (MMIF) tool that performs a direct 'pass through' of the MM5 meteorological variables to CALPUFF without any adjustments or re-diagnosing of meteorological variables, as is done by CALMET. The effects of alternative options in CALMET on the CALMET meteorological model performance and the performance of the CALPUFF LRT dispersion model for simulating observed atmospheric tracer concentrations was analyzed. The performance of CALPUFF was also compared against past CALPUFF evaluation studies using an earlier version of CALPUFF and some of the same tracer test field experiments as used in this study. In addition, up to five other LRT dispersion models were also evaluated against some of the tracer field experiments. CALPUFF and the other LRT models represent three distinct types of LRT dispersion models: Gaussian puff, particle and Eulerian photochemical grid models. Numerous sensitivity tests were conducted using CALPUFF and the other LRT models to elucidate the effects of alternative meteorological inputs on dispersion model performance for the tracer field studies, as well as to intercompare the performance of the different dispersion models. |
Notes |
"May 2012". Project Officer: Kirk Baker. Includes bibliographical references (p. 142-147). "EPA-454/R-12-003". |
Place Published |
Research Triangle Park, N.C. |
Supplementary Notes |
Sponsored by Environmental Protection Agency, Research Triangle Park, NC. Office of Air Quality Planning and Standards. |
Availability Notes |
Order this product from NTIS by: phone at 1-800-553-NTIS (U.S. customers); (703)605-6000 (other countries); fax at (703)605-6900; and email at orders@ntis.gov. NTIS is located at 5301 Shawnee Road, Alexandria, VA, 22312, USA. |
Access Notes |
Also available via the World Wide Web. |
Corporate Au Added Ent |
United States. Environmental Protection Agency. Air Quality Assessment Division.; United States. Environmental Protection Agency. Office of Air Quality Planning and Standards. Air Quality Modeling Group. |
PUB Date Free Form |
May 2012 |
Category Codes |
68A; 55C |
NTIS Prices |
PC A12 |
BIB Level |
m |
Cataloging Source |
OCLC/T |
Control Number |
120503290 |
OCLC Time Stamp |
20120612122636 |
Language |
eng |
Origin |
OCLC |
Type |
MERGE |
OCLC Rec Leader |
01670nam 2200373Ia 45020 |