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

Date

2021

Authors

Sun, Tianye
Zarzycki, Colin M.
Bond, Tami C.

Journal Title

Journal ISSN

Volume Title

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.

Description

Spreadsheet containing Resolution factors (REF0.5_2) for each station in the California Coefficient of Haze network (CA COH) and US IMPROVE network.
Department of Mechanical Engineering

Rights Access

Subject

spatial resolution
spatial averaging bias
black carbon
model-measurement comparison

Citation

Associated Publications

Sun, T., Zarzycki, C., Bond, T.C., Effect of discrepancies caused by model resolution on model-measurement comparison for surface black carbon, Atmospheric Environment, https://doi.org/10.1016/j.atmosenv.2020.118178.