40 BayNND_Air_Pollution_Model
| Project metadata | |
|---|---|
| Project Title | BayNND_Air_Pollution_Model |
| Owners | Haitong Zhe Sun, Alexander T. Archibald, University of Cambridge |
| Project Abstract | Space-Time Bayesian Neural Network Downscaled |
40.1 BayNND_V1-0_monthly_O3_Australia_1990_2019
| Accessibility | Provision Status | Licence |
|---|---|---|
| CARDAT | Provided | other |
| Metadata fields | |
|---|---|
| Short Name | BayNND_V1-0_monthly_O3_Australia_1990_2019 |
| Title | Bayesian Neural Network Downscaled Monthly Surface O3 for Australia 1990-2019 Version 1.0 |
| Creators | Haitong Zhe Sun |
| Contact Email | car.data@curtin.edu.au |
| Abstract |
Space-time Bayesian Neural Network Downscaled modelling of monthly surface O3 for Australia, cropped from global surface. Predictions made only where populated. Methodology and additional information is available at https://doi.org/10.1021/acs.est.1c04797. Spatial resolution is in 0.125° (~10km), coordinates are compatible with the WGS 84 datum. Four surface O3 metrics are provided: DA24h-urban, DA24h-rural, MDA8h-urban, and MDA8h-rural. DA24h refers to 24hr daily average, MDA8h to 8hr maximum daily average. Version 2.0.1 is expected to be released in 2023. |
| Study Extent | Australia |
| Associated Parties | |
| Repository Path | Environment_General/BayNND_Air_Pollution_Model/BayNND_V1-0_monthly_O3_Australia_1990_2019 |
| Repository Link | https://cloud.car-dat.org/index.php/apps/files/?dir=/Environment_General/BayNND_Air_Pollution_Model/BayNND_V1-0_monthly_O3_Australia_1990_2019 |
| External Link | |
| Recommended Citation | Sun, H. Z. and Archibald A. T. (2021): Bayesian Neural Network Downscaled Monthly Surface O3 for Australia 1990-2019 Version 1.0. Downloaded from CARDAT (dataset). https://cloud.car-dat.org/index.php/apps/files/?dir=/Environment_General/BayNND_Air_Pollution_Model/BayNND_V1-0_monthly_O3_Australia_1990_2019 |
Related publication(s)
- Sun, H.; Shin, Y. M.; Xia, M.; Ke, S.; Wan, M.; Yuan, L.; Guo, Y.; Archibald, A. T. Spatial Resolved Surface Ozone with Urban and Rural Differentiation during 1990–2019: A Space–Time Bayesian Neural Network Downscaler. Environ. Sci. Technol. 2022, 56 (11), 7337–7349. https://doi.org/10.1021/acs.est.1c04797.