Effect of discrepancies caused by model resolution on model-measurement comparison for surface black carbon

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

Research output: Contribution to journalArticlepeer-review

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%–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.

Original languageEnglish (US)
Article number118178
JournalAtmospheric Environment
Volume247
DOIs
StatePublished - Feb 15 2021

All Science Journal Classification (ASJC) codes

  • Environmental Science(all)
  • Atmospheric Science

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