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Fast-J: Accurate Simulation of In- and Below-Cloud Photolysis in Tropospheric Chemical Models

Open access
Wild, Oliver, Zhu, Xin, Prather, Michael J.·2000·Journal of Atmospheric Chemistry

Abstract

Photolysis rates in the troposphere are greatly affected by the presenceof cloud and aerosol layers. Yet, the spatial variability of theselayers along with the difficulty of multiple-scattering calculationsfor large particles makes their inclusion in 3-D chemical transportmodels computationally very expensive.This study presents a flexible and accurate photolysis scheme, Fast-J,which calculates photolysis rates in the presence of an arbitrary mix ofcloud and aerosol layers. The algorithm is sufficiently fast to allow thescheme to be incorporated into 3-D global chemical transport models andhave photolysis rates updated hourly. It enables tropospheric chemistrysimulations to include directly the physical properties of the scatteringand absorbing particles in the column, including the full, untruncatedscattering phase function and the total, uncorrected optical depth.The Fast-J scheme is compared with earlier methods that have been usedin 3-D models to parameterize the effects of clouds on photolysis rates.The impact of Fast-J on tropospheric ozone chemistry is demonstratedwith the UCI tropospheric CTM.

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Metadata

Authors
Wild, O., Zhu, X., & Prather, M. J.
Venue
Journal of Atmospheric Chemistry
Published
2000-11
Volume
37
Issue
3
Pages
245-282
ISSN
  • 0167-7764 (ISSN-L)
  • 1573-0662
OpenAlex
W1486027341
Cited by
673
References
1
FWCI
11.85
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Fast-J: Accurate Simulation of In- and Below-Cloud Photolysis in Tropospheric Chemical Models. https://app.cochat.ai/papers/10.1023/a:1006415919030
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Wild, O., Zhu, X., & Prather, M. J. (2000). Fast-J: Accurate Simulation of In- and Below-Cloud Photolysis in Tropospheric Chemical Models. Journal of Atmospheric Chemistry. https://doi.org/10.1023/a%3A1006415919030

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.