Parameterization of size-dependent particle dry deposition velocities for global modeling [An article from: Atmospheric Environment]
Book Details
Author(s)E.Y. Nho-Kim, M. Michou, V.H. Peuch
PublisherElsevier
ISBN / ASINB000RR1ES8
ISBN-13978B000RR1ES9
AvailabilityAvailable for download now
Sales Rank99,999,999
MarketplaceUnited States 🇺🇸
Description
This digital document is a journal article from Atmospheric Environment, published by Elsevier in 2004. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
Dry deposition velocity of particles has been parameterized in the global multi-scale Chemistry and Transport Model MOCAGE as a function of particle size and density, surface properties, and micro-meteorological conditions near the surface. Hourly deposition velocities have been simulated over the year 2000 using the analyses and forecasts of the French operational numerical weather prediction model ARPEGE. Results were compared with measurements available in the literature. Predictions of our model are generally satisfactory, showing the largest uncertainty in the 0.1-1@mm particle size interval over highly rough surfaces. According to the one-year global average, deposition velocity over continents is about an order of magnitude higher than over oceans, for all particle sizes. Seasonal variations are nearly undetectable, while diurnal variations over land exist with a maximum around 12-15h local solar time. Spatially, mid-latitudes regions usually have higher deposition velocities than tropical and polar ones, particularly over continents.
Description:
Dry deposition velocity of particles has been parameterized in the global multi-scale Chemistry and Transport Model MOCAGE as a function of particle size and density, surface properties, and micro-meteorological conditions near the surface. Hourly deposition velocities have been simulated over the year 2000 using the analyses and forecasts of the French operational numerical weather prediction model ARPEGE. Results were compared with measurements available in the literature. Predictions of our model are generally satisfactory, showing the largest uncertainty in the 0.1-1@mm particle size interval over highly rough surfaces. According to the one-year global average, deposition velocity over continents is about an order of magnitude higher than over oceans, for all particle sizes. Seasonal variations are nearly undetectable, while diurnal variations over land exist with a maximum around 12-15h local solar time. Spatially, mid-latitudes regions usually have higher deposition velocities than tropical and polar ones, particularly over continents.
