| DOI | 10.5194/acp-22-7461-2022
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| Satellite soil moisture data assimilation impacts on modeling weather variables and ozone in the southeastern US - Part 2: Sensitivity to dry-deposition parameterizations |
| Huang, Min; Crawford, James H.; Carmichael, Gregory R.; Bowman, Kevin W.; Kumar, Sujay V.; Sweeney, Colm
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| 发表日期 | 2022
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| ISSN | 1680-7316
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| EISSN | 1680-7324
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| 起始页码 | 7461
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| 结束页码 | 7487
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| 卷号 | 22期号:11页码:27 |
| 英文摘要 | Ozone (O-3) dry deposition is a major O3 sink. As a follow-up study of Huang et al. (2021), we quantify the impact of satellite soil moisture (SM) on model representations of this process when different dry-deposition parameterizations are implemented, based on which the implications for interpreting O-3 air pollution levels and assessing the O-3 impacts on human and ecosystem health are provided. The SM data from NASA's Soil Moisture Active Passive mission are assimilated into the Noah-Multiparameterization (Noah-MP) land surface model within the NASA Land Information System framework, semicoupled with Weather Research and Forecasting model with online Chemistry (WRF-Chem) regional-scale simulations covering the southeastern US. Major changes in the modeling system used include enabling the dynamic vegetation option, adding the irrigation process, and updating the scheme for the surface exchange coefficient. Two dry-deposition schemes are implemented, i.e., the Wesely scheme and a dynamic scheme, in the latter of which dry-deposition parameterization is coupled with photosynthesis and vegetation dynamics. It is demonstrated that, when the dynamic scheme is applied, the simulated O-3 dry-deposition velocities vd and their stomatal and cuticular portions, as well as the total O-3 fluxes F-t, are larger overall; vd and F-t are 2-3 times more sensitive to the SM changes due to the data assimilation (DA). Further, through case studies at two forested sites with different soil types and hydrological regimes, we highlight that, applying the Community Land Model type of SM factor controlling stomatal resistance (i.e., beta factor) scheme in replacement of the Noah-type beta factor scheme reduced the vd sensitivity to SM changes by similar to 75 % at one site, while it doubled this sensitivity at the other site. Referring to multiple evaluation datasets, which may be associated with variable extents of uncertainty, the model performance of vegetation, surface fluxes, weather, and surface O-3 concentrations shows mixed responses to the DA, some of which display land cover dependency. Finally, using model-derived concentration- and flux-based policy-relevant O-3 metrics as well as their matching exposure-response functions, the relative biomass/crop yield losses for several types of vegetation/crops are estimated to be within a wide range of 1 %-17 %. Their sensitivities to the model's dry-deposition scheme and the implementation of SM DA are discussed. |
| 学科领域 | Environmental Sciences; Meteorology & Atmospheric Sciences
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| 语种 | 英语
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| WOS研究方向 | Environmental Sciences & Ecology
; Meteorology & Atmospheric Sciences
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| WOS记录号 | WOS:000808551300001
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| 来源期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS
(IF:5.668[JCR-2018],6.201[5-Year]) |
| 文献类型 | 期刊论文
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| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/273259
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| 作者单位 | George Mason University; National Aeronautics & Space Administration (NASA); NASA Langley Research Center; University of Iowa; California Institute of Technology; National Aeronautics & Space Administration (NASA); NASA Jet Propulsion Laboratory (JPL); National Aeronautics & Space Administration (NASA); NASA Goddard Space Flight Center; National Oceanic Atmospheric Admin (NOAA) - USA
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推荐引用方式
GB/T 7714 |
Huang, Min,Crawford, James H.,Carmichael, Gregory R.,et al. Satellite soil moisture data assimilation impacts on modeling weather variables and ozone in the southeastern US - Part 2: Sensitivity to dry-deposition parameterizations[J],2022,22(11):27.
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| APA |
Huang, Min,Crawford, James H.,Carmichael, Gregory R.,Bowman, Kevin W.,Kumar, Sujay V.,&Sweeney, Colm.(2022).Satellite soil moisture data assimilation impacts on modeling weather variables and ozone in the southeastern US - Part 2: Sensitivity to dry-deposition parameterizations.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(11),27.
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| MLA |
Huang, Min,et al."Satellite soil moisture data assimilation impacts on modeling weather variables and ozone in the southeastern US - Part 2: Sensitivity to dry-deposition parameterizations".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.11(2022):27.
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