| タイトル | Influence of Satellite-Derived Photolysis Rates and Nox Emissions on Texas Ozone Modeling |
| 本文（外部サイト） | http://hdl.handle.net/2060/20150002120 |
| 著者（英） | Xiao, X.; Zhou, W.; Henderson, B. H.; Lash, B.; Cohan, D. S.; Tang, Wei; White, A.; Pour-Biazar, A.; Lamsal, L. N. |
| 著者所属（英） | NASA Goddard Space Flight Center |
| 発行日 | 2014-09-23 |
| 言語 | eng |
| 内容記述 | Uncertain photolysis rates and emission inventory impair the accuracy of state-level ozone (O3) regulatory modeling. Past studies have separately used satellite-observed clouds to correct the model-predicted photolysis rates, or satellite-constrained top-down Mono-nitrogen oxides emissions to identify and reduce uncertainties in bottom-up Mono-nitrogen oxides emissions. However, the joint application of multiple satellite-derived model inputs to improve O3 State Implementation Plan (SIP) modeling has rarely been explored. In this study, Geostationary Operational Environmental Satellite (GOES) observations of clouds are applied to derive the photolysis rates, replacing those used in Texas SIP modeling. This changes modeled O3 concentrations by up to 80 ppb and improves O3 simulations by reducing modeled normalized mean bias (NMB) and normalized mean error (NME) by up to 0.1. A sector-based discrete Kalman filter (DKF) inversion approach is incorporated with the Comprehensive Air Quality Model with extensions (CAMx)-Decoupled Direct Method (DDM) model to adjust Texas Mono-nitrogen oxides emissions using a high resolution Ozone Monitoring Instrument (OMI) NO2product. The discrepancy between OMI and CAMx NO2 vertical column densities (VCD) is further reduced by increasing modeled Mono-nitrogen oxides lifetime and adding an artificial amount of NO2 in the upper troposphere. The sector-based DKF inversion tends to scale down area and non-road Mono-nitrogen oxides emissions by 50%, leading to a 2-5 ppb decrease in ground 8 h O3 predictions. Model performance in simulating ground NO2 and O3 are improved using inverted Mono-nitrogen oxides emissions, with 0.25 and 0.04 reductions in NMBs and 0.13 and 0.04 reductions in NMEs, respectively. Using both GOES-derived photolysis rates and OMI-constrained Mono-nitrogen oxides emissions together reduces modeled NMB and NME by 0.05 and increases the model correlation with ground measurement in O3 simulations and makes O3 more sensitive to Mono-nitrogen oxides emissions in the O3 non-attainment areas. |
| NASA分類 | Earth Resources and Remote Sensing; Environment Pollution |
| レポートNO | GSFC-E-DAA-TN19972 |
| 権利 | Copyright, Distribution under U.S. Government purpose rights |
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