Constraining the magnitude of the global dust cycle by minimizing the difference between a model and observations
By R. V. Cakmur, Ronald L. Miller, J. Perlwitz, Igor V. Geogdzhayev, Paul Ginoux, D. Koch, K. Kohfeld, I. Tegen, Charles S. Zender. 2006
210 citations recorded by the source corpus.
Current estimates of global dust emission vary by over a factor of two. Here, we use multiple data types and a worldwide array of stations combined with a dust model to constrain the magnitude of the global dust cycle for particles with radii between 0.1 and 8 μm. An optimal value of global emission is calculated by minimizing the difference between the model dust distribution and observations. The optimal global emission is most sensitive to the prescription of the dust source region. Depending upon the assumed source, the agreement with observations is greatest for global, annual emission ranging from 1500 to 2600 Tg. However, global annual emission between 1000 and 3000 Tg remains in agreement with the observations, given small changes in the method of optimization. Both ranges include values that are substantially larger than calculated by current dust models. In contrast, the optimal fraction of clay particles (whose radii are less than 1 μm) is lower than current model estimates. The optimal solution identified by a combination of data sets is different from that identified by any single data set and is more robust. Uncertainty is introduced into the optimal emission by model biases and the uncertain contribution of other aerosol species to the observations.
Subfields: Atmospheric Science, Global and Planetary Change, Health, Toxicology and Mutagenesis
View Paper: https://www.semanticscholar.org/paper/342cde12df8122d3604d471a39087cc22e07ab13
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Citations in the corpus
- Improved dust representation in the Community Atmosphere Model (2012, methodology): “To account for unrepresented source differences, soil erodibility maps were optimized for each model configuration [e.g., Mahowald et al., 2006b; Albani et al., 2012b; Cakmur et al., 2006].”
- Configuration and assessment of the GISS ModelE2 contributions to the CMIP5 archive (2014, methodology): “The global emission of clay particles (with radii of less than 1 lm) and larger silt particles is chosen to optimize model agreement with a worldwide array of observations [Cakmur et al., 2006].”
- Mineral dust aerosols in the NASA Goddard Institute for Space Sciences ModelE atmospheric general circulation model (2006, methodology): “For the TOMS and AVHRR regional averages, the comparison is augmented by retrievals over the North Pacific, Taklimakan, North America and Australia.”