Data · dataset · 2025
High-resolution Air Quality Reanalysis Dataset over China (CAQRA)
Listed in ScienceDB
Description
The Chinese Air Quality Reanalysis dataset is a high-resolution gridded air quality dataset in China that was produced by the Institute of Atmospheric Physics, Chinese Academy of Sciences (IAP, CAS), collaborated with China National Environmental Monitoring Centre (CNEMC) and other research institutes at home and abroad. It was produced by the chemical data assimilation system (ChemDAS) developed by IAP, CAS, which assimilates over 1000 surface air quality monitoring sites from CNEMC based on the ensemble Kalman filter (EnKF) and the Nested Air Quality Prediction Modeling system (NAQPMS).
This dataset provides the surface fields of six conventional air pollutants (i.e. PM₂.₅，PM₁₀，SO₂，NO₂，CO and O₃) in China in a high accuracy and high spatial (15km) and temporal (1 hour) resolutions. The qualities of this dataset have been assessed by the cross validation method and independent datasets, which suggests that this dataset has higher accuracy and spatial resolutions than most of other similar datasets with regarding to the surface concentrations of air pollutants in China.
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The calculated root of mean square error (RMSE) at assimilation (validation) sites for hourly concentrations were estimated to be 15.2 (21.3) μg/m³ for PM2.5, 28.0 (39.3) μg/m³ for PM10, 16.9 (24.9) μg/m³ for SO₂, 12.7 (16.4) μg/m³ for NO₂, 0.38 (0.54) mg/m³ for CO and 17.5 (21.9) μg/m³ for O₃. Also included are the simulated surface fields of wind speed (u, v), pressure (psfc), relative humidity (RH) and temperature (temp) by WRF model.
This dataset would provide valuable air quality data for many studies, such as the assessment of health impacts of air pollution, validation of model simulations and providing training data for the statistical or AI (Artificial Intelligence) based forecast. It has been submitted to ℎ , where detailed descriptions and validation of this dataset are available. Version information of the dataset: Version V1 spans the period from 2013 to 2018 and comprises 72 compressed files, each containing reanalysis data for a specific month.
Version V2, also covering the period from 2013 to 2018, modifies the dataset to use days as the unit, with a total of 2,191 compressed files containing reanalysis data. Version V3 utilizes the same algorithm as V1 and V2, extending the dataset to 2019 and consisting of 7 folders organized by year, with each folder containing compressed files of reanalysis data for each day of that year. Version V4 extends the dataset to 2024 based on Version V3.
For detailed information on the content of each data file, please refer to the README.txt file
Links
Where it is published
- DOI doi.org/10.11922/sciencedb.00053 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.11922%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Environmental engineering 69%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.11922/sciencedb.00053 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:4011 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (69%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |