Published November 8, 2021 | Version v1
Dataset Open

Daily 1-km gap-free PM2.5 grids in China, v1 (2000–2020)

  • 1. East China Normal University

Description

A Long-term Gap-free High-resolution Air Pollutants concentration dataset (abbreviated as LGHAP) is of great significance for environmental management and earth system science analysis. In the current release of LGHAP aerosol dataset (LGHAP.v1), we provide a 21-year-long (2000–2020) gap free PM2.5 concentration product with daily 1-km resolution covering the land area of China. The dataset was generated from the daily gap free AOD (https://doi.org/10.5281/zenodo.5652257) that was derived through an integration of a set of data tensors of AOD and other related datasets such as air pollutants concentration and atmospheric visibility acquired from diversified sensors or platforms via a machine learned regression model. The dataset was provided in the NetCDF format, while data in each individual year were archived in a zip file. Python, Matlab, R, and IDL codes were also provided to help users read and visualize the LGHAP data.

Files

Data user guide and demo codes.zip

Files (37.6 GB)

Name Size Download all
md5:992c61392fbd67944aab29777ca0de31
349.0 kB Preview Download
md5:0baec90009bb719c5c29dff2ce8dc6ca
1.7 GB Preview Download
md5:20cdb8d195d1d9bc198223055db45d52
1.8 GB Preview Download
md5:cbfe141c2ef1d02147d52bf1aac3fa4d
1.8 GB Preview Download
md5:5e87ad365a2eb82eb98aea096e32efd0
1.8 GB Preview Download
md5:8f40c392678e5f0a1b373c97510709a0
1.8 GB Preview Download
md5:323dcfcd64f6c929e7fa19eeb2201569
1.8 GB Preview Download
md5:b37a7bd5f4c71b544f12703c76103877
1.8 GB Preview Download
md5:2da8b2acb1d494289ddaac5de9c0b576
1.8 GB Preview Download
md5:f1dc200d777b70e6926483691795b6ce
1.8 GB Preview Download
md5:b2996c71c694e2b0661c6ec713b33a87
1.8 GB Preview Download
md5:4f511900e13e75c809b2961fa280657b
1.8 GB Preview Download
md5:a91c52152adffadeba76aa9834358459
1.8 GB Preview Download
md5:23b89bab0041fea849559c535e1b0a0e
1.8 GB Preview Download
md5:a50ffe95fd7cbc37ec4495e483b682c5
1.8 GB Preview Download
md5:6260f58da436326e376d89485d3dfd48
1.8 GB Preview Download
md5:d3e73a0acc42adeffd05ea9388920896
1.8 GB Preview Download
md5:8593775eb20242505f416d1a7bc90672
1.8 GB Preview Download
md5:b198f77efc58bed4ca5bea702c568ea7
1.8 GB Preview Download
md5:5ab4d5ba1714a81b8e654318c1a17254
1.8 GB Preview Download
md5:99b92221270bbf0b62f4c6970a438b6d
1.8 GB Preview Download
md5:56d94a3ca523edf55cb11341381ace0e
1.8 GB Preview Download

Additional details

References

  • Bai, K., Li, K., Ma, M., Li, K., Li, Z., Guo, J., Chang, N.-B., Tan, Z., & Han, D. (2022). LGHAP: the Long-term Gap-free High-resolution Air Pollutant concentration dataset, derived via tensor-flow-based multimodal data fusion. Earth System Science Data, 14(2), 907–927. https://doi.org/10.5194/essd-14-907-2022