Published June 1, 2022
| Version v1
Dataset
Open
Processed ground observation and WRF-CAMQ data for Greater Bay Area, 2015-2021
Authors/Creators
- 1. HKUST
- 2. UMD
Description
The pre-processed training and testing dataset for the paper Development of an LSTM-Broadcasting deep-learning framework for regional air pollution forecast improvement. The format of data is compatible with the official implementation.
Files
Files
(858.1 MB)
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md5:263be197819eacd0502c29dbcd03eee7
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134.3 kB | Download |
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md5:4984a88dfc0d676ab1d4e7ce6e2b7196
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540 Bytes | Download |
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md5:197785e0a94a7b54a95be3af85593c47
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720 Bytes | Download |
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md5:791aeedf989328044ddc4b72a5724180
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1.7 kB | Download |
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md5:478ce2e0c2db5de26be82db0b28a95c7
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958 Bytes | Download |
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md5:8495ded35a0f7cc4518640e65cddaf04
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1.7 kB | Download |
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md5:e8f5c49a410894497f447a9ee23e836c
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11.1 MB | Download |
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md5:ea1d721fb4d056c64e3fcc735af7ec2d
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28.0 MB | Download |
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md5:13641c566b5ba67b1dff66996e3d4dbb
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11.1 MB | Download |
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md5:d6c55509179a522d4533f8abaca2767d
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21.1 MB | Download |
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md5:2ae164b66d4d7f415a493a32d1ede560
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3.1 kB | Download |
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md5:166ec1747b705312bba95dfcc1418fc0
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8.6 MB | Download |
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md5:6eb17dd6b9b98191aa2ef52ed6a335df
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1.8 kB | Download |
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md5:7f256f45d5d57c5ab3840489db53c4f6
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21.1 MB | Download |
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md5:4fad3d5a5ad22ba71a4fdb9a8eb2a4f2
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3.1 kB | Download |
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md5:e2c9286bc597d8463eb3230aca74797c
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67.2 MB | Download |
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md5:5b1b50abb964e04f30c73f2139e0f14f
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168.0 MB | Download |
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md5:53f4ffde84a50c7c4d791c9a66651ec0
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67.2 MB | Download |
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md5:97c712d9f8bda28cdd038805af85f014
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189.0 MB | Download |
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md5:28e48216fb11995227febf655e5a4293
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4.6 kB | Download |
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md5:b7211a9ba8323151ff7213c5321daf16
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76.2 MB | Download |
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md5:b4729a71cb117666d5803e2f0be2e1f4
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2.7 kB | Download |
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md5:6639631d3719c9d5fac6bb6e93ccc1cd
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189.0 MB | Download |
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md5:b2ed8a02b661d4b1e6b2c19d371ac490
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4.6 kB | Download |
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md5:85f5c7f538df3d8737679ab50fcf788c
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177.0 kB | Download |
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md5:15ed50e78cae1bf9ed8ee0724b4573dd
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540 Bytes | Download |