Published March 27, 2023
| Version 1.0
Dataset
Open
Spatiotemporal Estimation of TROPOMI NO2 Column with Depthwise Partial Convolutional Neural Network
Creators
- 1. University of Houston
- 2. Oak Ridge Associated Universities
Description
Public Repository of the model outputs of TROPOMI NO2 datasets for 2019 and 2020.
Comprises:
Saved Partial Convolution Neural Network models (PCNN, PCNN-ST, and DW-PCNN) and code to load the models.
Datasets (in Netcdf4 format) from PCNN model outputs, Inverse Distance Weighting, Inverse Distance Weighting with Kriging, spatial coordinates, time, target NO2 for imputation, and masks.
Files
Files
(18.3 GB)
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md5:1d32704a480404e8702351634a4ff639
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48.2 MB | Download |
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md5:302f03606ffef0a35697e523695c9ff2
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218.0 MB | Download |
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md5:30418e255aefe22bbb9f962866738edf
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218.0 MB | Download |
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md5:2b6cdd566db6fc137cce901e7a22a4ba
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917 Bytes | Download |
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md5:6c69508eef21ec9588f5d8a0768cc903
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6.2 kB | Download |
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md5:730473a0b18f2f582d353ab59fe3cb1f
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11.8 kB | Download |
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md5:36fabf3444b511d6374a539b27808dbb
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14.8 kB | Download |
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md5:9aad80fee6ec39a1ea06f3a0f1e1db7b
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15.0 kB | Download |
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md5:dfc5b2347c3d889acc5f63f83d75c424
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9.6 GB | Download |
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md5:ee3dc2cab0ea6278cb8565dc297faed0
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8.2 GB | Download |