use of back air trajectories in interpreting atmospheric chemistry data
Read Online
Share

use of back air trajectories in interpreting atmospheric chemistry data a review and bibliography by John M Miller

  • 582 Want to read
  • ·
  • 9 Currently reading

Published by National Oceanic and Atmospheric Administration, Environmental Research Laboratories in [Boulder, Colo.?] .
Written in

Subjects:

  • Atmospheric chemistry,
  • Transport theory -- Mathematical models,
  • Air -- Pollution -- Mathematical models,
  • Atmospheric diffusion -- Mathematical models

Book details:

Edition Notes

StatementJohn M. Miller
SeriesNOAA technical memorandum ERL ARL -- 155
ContributionsEnvironmental Research Laboratories (U.S.)
The Physical Object
Pagination28 p. :
Number of Pages28
ID Numbers
Open LibraryOL13611441M

Download use of back air trajectories in interpreting atmospheric chemistry data

PDF EPUB FB2 MOBI RTF

In The use of back air trajectories in interpreting atmospheric chemistry data: A review and bibliography. NOAA Tech Mem ERL ARL National Oceanic and Atmospheric Administration, Silver Spring, Md. 28 p. Google ScholarCited by: 8. (4) Numerical transport methods use atmospheric dispersion modeling (e.g., air mass back trajectories) to study the advection regimes with subsequent distinction in periods with potential. A replacement for simple back trajectory calculations in the interpretation of atmospheric trace substance measurements Article in Atmospheric Environment 36(29) October with On the Construction, Comparison, and Variability of Airsheds for Interpreting Semivolatile Organic Compounds in Passively Sampled Air.

The Fire and Smoke Model Evaluation Experiment (FASMEE) is designed to collect integrated observations from large wildland fires and provide evaluation datasets for new models and operational systems. Wildland fire, smoke dispersion, and atmospheric chemistry models have become more sophisticated, and next-generation operational models will require evaluation datasets that are Cited by: 7. Emission data contain uncertainties introduced by the methodology and the data used. We quantified uncertainties in gridded emissions using the uncertainty in underlying data, showing that disaggregation in space and time significantly increases the uncertainty. Understanding uncertainties helps to interpret atmospheric measurements and the gap. More recent of SRES scenarios are RCP (Weyant et al., ).These are reliable sets of projections of the components of radiative forcing (defined as the alteration in the balance between incoming and outgoing radiation to the atmosphere and are mainly due to changes in atmospheric composition), which are intended to be provided as input for climate modeling. Understanding the role of atmospheric carbon dioxide (CO 2) in forcing global temperature is essential to the contemporary debate about anthropogenic global heric CO 2 and other trace gases emitted to the atmosphere by the combustion of fossil fuels and changes in land use patterns capture infrared energy radiated from the Earth’s surface, warming the atmosphere and surface by Cited by: 9.

The discussion is limited to a single plane because the physical principle can be demonstrated adequately in this way and because evaluation of the threedimensional momentum flux requires use of second-order tensors which are not used in this book. For the important atmospheric case of vertical shear of the x component, Eq. M.F. Larsen, in Encyclopedia of Atmospheric Sciences (Second Edition), Other Techniques. There are a few techniques that do not rely on telemetry. One used extensively is the chemical release technique in which a chemical tracer is released from the rocket payload as it traverses a range of altitude in the atmosphere. The tracer is then tracked photographically from two more sites on the. Thus the use of current hr upper-air data may produce significant biases in atmospheric transport calculations. Models that utilize the hydrodynamic equations of motion are capable of resolving smaller-scale features (Anthes and Warner ), but the computational expense of using these models is often prohibitive for long-term pollution Cited by: 8. Cambridge Core - Regional and World History: General Interest - Climate Change and the Course of Global History - by John L. BrookeAuthor: John L. Brooke.