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Lamer K, Mages Z, Treserras BP, Walter P, Zhu Z, Rapp AD, Nowotarski CJ, Brooks SD, Flynn J, Sharma M, Klein P, Spencer M, Smith E, Gebauer J, Bell T, Bunting L, Griggs T, Wagner TJ, McKeown K. Spatially distributed atmospheric boundary layer properties in Houston - A value-added observational dataset. Sci Data 2024; 11:661. [PMID: 38909030 PMCID: PMC11193771 DOI: 10.1038/s41597-024-03477-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 06/04/2024] [Indexed: 06/24/2024] Open
Abstract
In 2022, Houston, TX became a nexus for field campaigns aiming to further our understanding of the feedbacks between convective clouds, aerosols and atmospheric boundary layer (ABL) properties. Houston's proximity to the Gulf of Mexico and Galveston Bay motivated the collection of spatially distributed observations to disentangle coastal and urban processes. This paper presents a value-added ABL dataset derived from observations collected by eight research teams over 46 days between 2 June - 18 September 2022. The dataset spans 14 sites distributed within a ~80-km radius around Houston. Measurements from three types of instruments are analyzed to objectively provide estimates of nine ABL parameters, both thermodynamic (potential temperature, and relative humidity profiles and thermodynamic ABL depth) and dynamic (horizontal wind speed and direction, mean vertical velocity, updraft and downdraft speed profiles, and dynamical ABL depth). Contextual information about cloud occurrence is also provided. The dataset is prepared on a uniform time-height grid of 1 h and 30 m resolution to facilitate its use as a benchmark for forthcoming numerical simulations and the fundamental study of atmospheric processes.
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Affiliation(s)
| | | | | | | | - Zeen Zhu
- Brookhaven National Laboratory, Upton, USA
| | | | | | | | | | | | - Petra Klein
- School of Meteorology, University of Oklahoma, Norman, USA
| | - Michelle Spencer
- School of Meteorology, University of Oklahoma, Norman, USA
- Cooperative Institute for High Impact and Severe Weather Research and Operations, University of Oklahoma, Norman, USA
| | - Elizabeth Smith
- School of Meteorology, University of Oklahoma, Norman, USA
- NOAA/OAR National Severe Storms Laboratory, Norman, USA
| | - Joshua Gebauer
- Cooperative Institute for High Impact and Severe Weather Research and Operations, University of Oklahoma, Norman, USA
- NOAA/OAR National Severe Storms Laboratory, Norman, USA
| | - Tyler Bell
- Cooperative Institute for High Impact and Severe Weather Research and Operations, University of Oklahoma, Norman, USA
- NOAA/OAR National Severe Storms Laboratory, Norman, USA
| | - Lydia Bunting
- Cooperative Institute for High Impact and Severe Weather Research and Operations, University of Oklahoma, Norman, USA
- NOAA/OAR National Severe Storms Laboratory, Norman, USA
| | | | - Timothy J Wagner
- Space Science and Engineering Center, University of Wisconsin-Madison, Madison, USA
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Qi H, Duan W, Cheng S, Huang Z, Hou X. Research on regional ozone prevention and control strategies in eastern China based on pollutant transport network and FNR. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 918:170486. [PMID: 38311077 DOI: 10.1016/j.scitotenv.2024.170486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 01/08/2024] [Accepted: 01/24/2024] [Indexed: 02/06/2024]
Abstract
O3 pollution in China has worsened sharply in recent years, and O3 formation sensitivity (OFS) in many regions have gradually changed, with eastern China as the most typical region. This study constructed the transport networks of O3 and NO2 in different seasons from 2017 to 2020. The transport trends and the clustering formation patterns were summarized by analyzing the topological characteristics of the transport networks, and the patterns of OFS changes were diagnosed by analyzing the satellite remote sensing data. Based on that, the main clusters that each province or city belongs to in different pollutant transport networks were summarized and proposals for the inter-regional joint prevention and control were put forward. As the results showed, O3 transport activity was most active in spring and summer and least active in winter, while NO2 transport activity was most active in autumn and winter and least active in summer. OFS in summer mainly consisted of transitional regimes and NOx-limited regimes, while that in other seasons was mainly VOC-limited regimes. Notably, there was a significant upward trend in the proportion of transitional regimes and NOx-limited regimes in spring, autumn, and winter. For regions showing NOx-limited regime, areas with higher out-weighted degrees in the NO2 transport network should focus on controlling local NOx emissions, such as central regions in summer. For regions showing VOC-limited regime, areas with higher out-weighted degrees in the O3 transport network should focus on controlling local VOCs emissions, such as central and south-central regions in summer. For regions that belong to the same cluster and present the same OFS in each specific season, regional cooperative emission reduction strategies should be established to block important transmission paths and weaken regional pollution consistency.
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Affiliation(s)
- Haoyun Qi
- Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
| | - Wenjiao Duan
- Sino-Japan Friendship Center for Environmental Protection, Beijing 100029, China.
| | - Shuiyuan Cheng
- Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
| | - Zijian Huang
- Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
| | - Xiaosong Hou
- Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
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