A homogenized daily in situ PM2.5 concentration dataset in China during 2015-2019
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| Autores principales: | , , , , |
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| Formato: | Dataset Open Access |
| Lenguaje: | en |
| Publicado: |
PANGAEA
2020
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| Acceso en línea: | |
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| _version_ | 1867170100257226752 |
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| author | Bai, Kaixu Li, Ke Wu, Chengbo Chang, Ni-Bin Guo, Jianping |
| author_facet | Bai, Kaixu Li, Ke Wu, Chengbo Chang, Ni-Bin Guo, Jianping |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | A five-year long homogenized daily in situ PM2.5 concentration dataset was generated on the basis of discrete data records retrieved from the China National Environmental Monitoring Center (CNEMC) via a web crawler during 2015-2019. A set of methods for the purposes of gap filling, data merging, homogeneity test, and bias correction were geared up seamlessly to improve the data integrity and to make essential adjustments to the inherent discontinuities detected in each PM2.5 concentration record. After essential quality control, a dataset including 1,309 long-term coherent yet temporally complete PM2.5 concentration time series at a daily resolution between 2015 and 2019 was carefully compiled. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_917557 |
| institution | PANGAEA |
| language | en |
| publishDate | 2020 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | A homogenized daily in situ PM2.5 concentration dataset in China during 2015-2019 Bai, Kaixu Li, Ke Wu, Chengbo Chang, Ni-Bin Guo, Jianping China; Homogenization; In situ observation; PM2.5 concentration A five-year long homogenized daily in situ PM2.5 concentration dataset was generated on the basis of discrete data records retrieved from the China National Environmental Monitoring Center (CNEMC) via a web crawler during 2015-2019. A set of methods for the purposes of gap filling, data merging, homogeneity test, and bias correction were geared up seamlessly to improve the data integrity and to make essential adjustments to the inherent discontinuities detected in each PM2.5 concentration record. After essential quality control, a dataset including 1,309 long-term coherent yet temporally complete PM2.5 concentration time series at a daily resolution between 2015 and 2019 was carefully compiled. |
| title | A homogenized daily in situ PM2.5 concentration dataset in China during 2015-2019 |
| topic | China; Homogenization; In situ observation; PM2.5 concentration |
| url | https://doi.org/10.1594/PANGAEA.917557 |