Dataset associated with "Effect of discrepancies caused by model resolution on model-measurement comparison for surface black carbon"



Authors: Tianye Sun, Colin M. Zarzycki and Tami C. Bond

 

*Please contact Tami Bond (Tami.Bond@colostate.edu) or Tianye Sun (sunty0430@gmail.com) regarding this dataset.

Abstract: Emission constraining studies have relied on comparisons of model against measurements, but the influence of model resolution has not been fully addressed. This work investigates the discrepancies caused by model resolution on model-measurement comparison of surface black carbon for urban and rural monitoring network sites in the U.S. With resolution of 0.5, simulated BC concentrations were 106% greater at urban receptors in California than simulations with 2 resolution; the overprediction was 30% greater for rural network sites (IMPROVE). This effect could explain 24% to 41% of the total discrepancy in model-measurement comparison for networks in California. For rural sites elsewhere in the U.S., increasing resolution from 2 to 0.5 results in either over- and under-prediction, with an averaged discrepancy of 6%. Factors describing the model resolution discrepancy for each urban and rural receptor site are tabulated.



This spreadsheet contains Resolution factors (REF0.5_2) for each station in the California Coefficient of Haze network (CA COH) and US IMPROVE network. For preservation purposes, these are saved as .csv files (Sun_REF_CA_COH.csv and Sun_REF_US_IMPROVE.csv) in addition to .xlsx (Sun_REF_table.xlsx).

Associated publication: Sun, T., Zarzycki, C. M., & Bond, T. C. (2021). Effect of discrepancies caused by model resolution on model-measurement comparison for surface black carbon. Atmospheric Environment, 247, 118178. https://doi.org/10.1016/j.atmosenv.2020.118178

Recommended data citation: Sun, T., Zarzycki, C., Bond, T.C., Dataset associated with "Effect of discrepancies caused by model resolution on model-measurement comparison for surface black carbon." 2021. Colorado State University. Libraries. http://dx.doi.org/10.25675/10217/219461




