Open AccessA multilayer biochemical dry deposition model 2. Model evaluation
Author(s) -
Wu Yihua,
Brashers Bart,
Finkelstein Peter L.,
Pleim Jonathan E.
Publication year - 2003
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.67
H-Index - 298
eISSN - 2156-2202
pISSN - 0148-0227
DOI - 10.1029/2002jd002306
Subject(s) - cmaq , deposition (geology) , flux (metallurgy) , environmental science , atmospheric sciences , range (aeronautics) , meteorology , air quality index , acid deposition , sensitivity (control systems) , soil science , materials science , geology , physics , engineering , paleontology , electronic engineering , sediment , metallurgy , composite material , soil water
The multilayer biochemical dry deposition model (MLBC) described in the accompanying paper was tested against half‐hourly eddy correlation data from six field sites under a wide range of climate conditions with various plant types. Modeled CO 2 , O 3 , SO 2 , and H 2 O (latent heat) fluxes were compared with measurements. Model outputs have good correlations with measurements at all locations. Correlation coefficients between model outputs and measurements at all sites range from 0.72 to 0.96 for CO 2 flux, from 0.84 to 0.98 for H 2 O flux, from 0.77 to 0.95 for O 3 flux, and from 0.36 to 0.86 for SO 2 flux. Model sensitivity analyses were conducted to investigate the variation of model outputs due to measurement errors of input variables and to changes of environmental conditions such as changes in weather conditions. The MLBC outputs were also compared with outputs from the Multilayer Model (MLM) model [ Meyers et al. , 1998] and the Regional Acid Deposition Model (RADM) [ Wesely , 1989] at two typical sites. Comparisons show that the MLBC performs better than the other two models. The model is suitable for use in nationwide dry deposition networks, for example, the Clean Air Status And Trends Network (CASTNet). It can be used to assist in describing total pollutant loadings to major ecosystems. With some modifications, the model may also be suitable for inclusion in region (meso‐) scale numerical models, for example, the Community Multiscale Air Quality (CMAQ) model.