CROCUS Air Quality Data at Chicago State University Prairie Site
收藏DataCite Commons2025-11-19 更新2025-04-09 收录
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https://www.osti.gov/servlets/purl/2482512
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The Air Quality Transmitter (AQT) (Vaisala AQT530) instrument provides observations on meteorological conditions, including particulate matter (PM2.5, PM10), gas species concentrations (Nitric Oxide (NO), Nitrogen Dioxide (NO2), Ozone (O3)), and environment temperature and moisture. These measurements are critical for understanding air quality. These measurements are useful for understanding changes in aerosol properties, air quality research, and comparing to model experiments especially in urban environments.This dataset is from the Department of Energy Office of Science funded project, Community Research on Urban and Climate Science (CROCUS) (https://crocus-urban.org/). Datasets are stored in the netCDF data format, and we we encourage users to make use the associated toolkits available from Unidata (https://www.unidata.ucar.edu/software/netcdf/), Project Pythia (https://foundations.projectpythia.org/core/data-formats/netcdf-cf.html), and our “Instrument Cookbooks” (https://crocus-urban.github.io/instrument-cookbooks) for more information on how to process the metadata-rich datasets.
空气质量变送器(Air Quality Transmitter, AQT)(维萨拉Vaisala AQT530型)仪器可观测多项气象与环境参数,涵盖颗粒物(PM2.5、PM10)、气态污染物浓度(一氧化氮(Nitric Oxide, NO)、二氧化氮(Nitrogen Dioxide, NO2)、臭氧(Ozone, O3))以及环境温湿度。此类观测数据对于解析空气质量状况至关重要,可用于探究气溶胶特性变化、开展空气质量相关研究,尤其适用于城市场景下与数值模式试验结果的对比验证。本数据集源自美国能源部科学办公室资助的城市与气候科学社区研究(Community Research on Urban and Climate Science, CROCUS)项目(https://crocus-urban.org/)。数据集采用netCDF(网络通用数据格式,Network Common Data Form)存储,我们鼓励用户借助Unidata(https://www.unidata.ucar.edu/software/netcdf/)、Pythia项目(https://foundations.projectpythia.org/core/data-formats/netcdf-cf.html)以及本项目的“仪器手册(Instrument Cookbooks)”(https://crocus-urban.github.io/instrument-cookbooks)提供的配套工具包,以获取该富含元数据的数据集的处理方法等更多相关信息。
提供机构:
Community Research on Climate and Urban Science Urban Integrated Field Laboratory (CROCUS UIFL)
创建时间:
2024-12-20



