Details:

Personal Author:
Sagendorf, J. F. ; Carter, Roger G. ; Clawson, K. L.
Sagendorf, J. F. ; Carter, Roger G. ; Clawson, K. L. Less -
Corporate Authors:
Air Resources Laboratory (U.S.)
NOAA Program & Office:
OAR (Oceanic and Atmospheric Research) ; ARL (Air Resources Laboratory)
OAR (Oceanic and Atmospheric Research) ; ARL (Air Resources Laboratory) Less -
Description:
The Field Research Division of the National Oceanic and Atmospheric Administration s (NOAA) Air Resources Laboratory (ARLFRD) maintains a network of 33 meteorological stations (mesonet) in the Upper Snake River Plain of the State of Idaho. These stations provide a comprehensive record of meteorology for the U.S. Department of Energy's (DOE) Idaho National Engineering and Environmental Laboratory (INEEL) and surrounding area. One important use of the mesonet data is to drive transport and diffusion models that can be used for estimating impacts for both near real-time emergency response and for normal facility operations over long periods of time. This paper describes the MDIFF and MDIFFH models that have been developed to support those needs. The models are based on calculating transport of plume material using winds derived from the mesonet. Meteorological data form the mesonet are updated at five minutes intervals. MDIFF uses the mesonet five-minute data to update trajectories also at five minute intervals. MDIFF is able to access the mesonet data in near real-time and is well suited for use in emergency operations. MDIFFH is designed for estimating impacts over periods of up to a year or more. It is driven by hourly data derived from the mesonet. A small field research project was conducted in 1999 where MDIFF was used to make real-time predictions of the location and concentration of an intentionally released atmospheric tracer gas plume. Results from this project are included in this paper as an evaluation of MDIFF.
Content Notes:
Jerrold F. Sagendorf, Roger G. Carter, Kirk L. Clawson.

"February 2001."

Also available online in PDF via the NOAA Central Library.

Includes bibliographical references (pages 25-26).


Keywords:
[+]
Air
Atmospheric Deposition
Atmospheric Diffusion
Computer Simulation
Forecasting
Mathematical Models
Mesometeorology
Pollution
Simulation Methods

Series:
NOAA technical memorandum OAR ARL ; 238
Document Type:
Technical Memorandum
Rights Information:
Public Domain
Compliance:
Library
Main Document Checksum:
[+]
urn:sha256:3e790015809347c2c8faeb314717e935ef795987107cf8fa3b321a6b0ff514d1
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