Gridded Daily PM2.5 at 1 km × 1 km Resolution from 2005–2024: Ghana

Gridded Daily PM2.5 in Ghana (2005–2024) Description This dataset provides daily estimates of surface PM2.5 concentrations across Ghana at a high spatial resolution of 1 km × 1 km. The data are generated by integrating satellite observations, ground-level monitors, and machine learning models, providing consistent spatiotemporal coverage over 20 years (2005-2024). Key features Temporal coverage: 2005–2024 (daily) Spatial resolution: 1 km × 1 km grid Formats: NetCDF for gridded daily PM2.5; CSV for city-level aggregated daily PM2.5 Intended use: Air quality research, health impact assessment, environmental policy analysis File structure The dataset includes two types of data products: 1. Spatially gridded PM2.5 levels are provided in NetCDF format. “NETCDF_PM25_Ghana_Daily_1km_2005-2024.zip” contains one NETCDF file for each year (20 files in total) in the format below. “PM25_Ghana_Daily_1km_YYYY.nc” — daily gridded PM2.5 for year YYYY. 2. City-level daily PM2.5 time series for selected locations are provided in CSV format. “CSV_PM25_Ghana_Cities_Daily_2005-2024.zip” contains one CSV file for each year (20 files in total) in the format below. “PM25_Ghana_Cities_Daily_YYYY.csv” — daily PM2.5 in year YYYY for selected cities. The cities include: Accra (Greater Accra), Bolgatanga (Upper East), Cape Coast (Central), Dambai (Oti), Damongo (Savannah), Goaso (Ahafo), Ho (Volta), Kintampo* (Bono East), Koforidua (Eastern), Kumasi (Ashanti), Nalerigu (North East), Navrongo* (Upper East), Sefwi Wiawso (Western North), Sekondi-Takoradi (Western), Somanya* (Eastern), Sunyani (Bono), Tamale (Northern), Techiman (Bono East), Tema* (Greater Accra), Wa (Upper West). (* denotes non-capital cities) Units PM2.5 concentrations are reported in µg/m3. Citation If you use this dataset, please cite both the dataset and the related publications, to acknowledge the data and the underlying methodology: Zenodo DOI: https://doi.org/10.5281/zenodo.17920004 Westervelt, D. M., Amooli, J. A., & Anand, A. (2025). Twenty Years of High Spatiotemporal Resolution Estimates of Daily PM2.5 in West Africa Using Satellite Data, Surface Monitors, and Machine Learning. ACS ES&T Air. Anand, A., Amooli, J. A., & Westervelt, D. M. (Manuscript in preparation, detailing the methodology for generating a more accurate daily PM2.5 estimates in Ghana and a few applications of the dataset). BibTeX Citations 1. Dataset: @dataset{pm25_ghana_2005_2024, author = {Anand, Abhishek and Amooli, Joe A. and Westervelt, Daniel M.}, title = {Gridded Daily PM2.5 Estimates for Ghana (2005–2024)}, year = {2025}, publisher = {Zenodo}, doi = {10.5281/zenodo.17920004}, url = {https://doi.org/10.5281/zenodo.17920004} } 2. Publication: @article{westervelt2025_pm25, author = {Westervelt, Daniel M. and Amooli, Joe A. and Anand, Abhishek}, title = {Twenty Years of High Spatiotemporal Resolution Estimates of Daily PM2.5 in West Africa Using Satellite Data, Surface Monitors, and Machine Learning}, journal = {ACS ES&T Air}, year = {2025} } 3. Methodology (in preparation): @unpublished{anand2025_method, author = {Anand, Abhishek and Amooli, Joe A. and Westervelt, Daniel M.}, title = {High Spatiotemporal Resolution PM2.5 Estimation Methodology for Ghana}, note = {Manuscript in preparation}, year = {2025} } Contact For questions or issues, please contact: [e-mail] [e-mail] License Creative Commons Attribution 4.0 International (CC BY 4.0)# 加纳网格化逐日细颗粒物（PM2.5）数据集（2005–2024年） ## 数据集概述 本数据集提供加纳全境逐日地表细颗粒物（PM2.5）浓度的网格化估算结果，空间分辨率高达1 km × 1 km。数据通过融合卫星观测、地面监测站数据与机器学习模型生成，实现了2005至2024年这20年间连续的时空覆盖。 ## 核心特性 - 时间覆盖范围：2005–2024年（逐日尺度） - 空间分辨率：1 km × 1 km网格 - 数据格式：网格化逐日PM2.5采用网络通用数据格式（NetCDF）；城市级聚合逐日PM2.5采用逗号分隔值（CSV） - 适用场景：空气质量研究、健康影响评估、环境政策分析 ## 文件结构 本数据集包含两类数据产品： 1. 网格化PM2.5浓度数据以网络通用数据格式（NetCDF）存储。压缩包`NETCDF_PM25_Ghana_Daily_1km_2005-2024.zip`内包含20个年度NetCDF文件，命名格式如下： `PM25_Ghana_Daily_1km_YYYY.nc` — 对应YYYY年的逐日网格化PM2.5数据。 2. 选定城市的逐日PM2.5时间序列数据以逗号分隔值（CSV）存储。压缩包`CSV_PM25_Ghana_Cities_Daily_2005-2024.zip`内包含20个年度CSV文件，命名格式如下： `PM25_Ghana_Cities_Daily_YYYY.csv` — 对应YYYY年选定城市的逐日PM2.5数据。 涉及城市包括：阿克拉（大阿克拉地区）、博尔加坦加（上东部地区）、海岸角（中部地区）、丹拜（奥蒂地区）、达蒙戈（萨瓦纳地区）、戈阿索（阿哈福地区）、霍（沃尔特地区）、金坦波*（博诺东部地区）、科福里杜亚（东部地区）、库马西（阿散蒂地区）、纳勒里古（东北地区）、纳夫龙戈*（上东部地区）、塞夫维·维阿索（西北西部地区）、塞康第-塔科拉迪（西部地区）、索曼亚*（东部地区）、苏尼亚尼（博诺地区）、塔马利（北部地区）、特奇曼（博诺东部地区）、特马*（大阿克拉地区）、瓦（上西部地区）。（* 标记为非首府城市） ## 数据单位 PM2.5浓度单位为微克每立方米（µg/m³）。 ## 引用说明 若使用本数据集，请同时引用数据集本身及相关研究文献，以认可数据与所采用的方法学： - Zenodo DOI：https://doi.org/10.5281/zenodo.17920004 - Westervelt, D. M., Amooli, J. A., & Anand, A. (2025). Twenty Years of High Spatiotemporal Resolution Estimates of Daily PM2.5 in West Africa Using Satellite Data, Surface Monitors, and Machine Learning. ACS ES&T Air. - Anand, A., Amooli, J. A., & Westervelt, D. M. (Manuscript in preparation, detailing the methodology for generating a more accurate daily PM2.5 estimates in Ghana and a few applications of the dataset). ## BibTeX引用格式 1. 数据集引用： bibtex @dataset{pm25_ghana_2005_2024, author = {Anand, Abhishek and Amooli, Joe A. and Westervelt, Daniel M.}, title = {Gridded Daily PM2.5 Estimates for Ghana (2005–2024)}, year = {2025}, publisher = {Zenodo}, doi = {10.5281/zenodo.17920004}, url = {https://doi.org/10.5281/zenodo.17920004} } 2. 期刊论文引用： bibtex @article{westervelt2025_pm25, author = {Westervelt, Daniel M. and Amooli, Joe A. and Anand, Abhishek}, title = {Twenty Years of High Spatiotemporal Resolution Estimates of Daily PM2.5 in West Africa Using Satellite Data, Surface Monitors, and Machine Learning}, journal = {ACS ES&T Air}, year = {2025} } 3. 待刊方法学论文引用： bibtex @unpublished{anand2025_method, author = {Anand, Abhishek and Amooli, Joe A. and Westervelt, Daniel M.}, title = {High Spatiotemporal Resolution PM2.5 Estimation Methodology for Ghana}, note = {Manuscript in preparation}, year = {2025} } ## 联系方式 如有疑问或问题，请联系： `[e-mail]` `[e-mail]` ## 授权协议 知识共享署名4.0国际许可协议（Creative Commons Attribution 4.0 International，CC BY 4.0）