44.1 Bayesian Neural Network Downscaled Monthly Surface O3 for Australia 1990-2019 Version 1.0
metadata_field | |
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shortname | BayNND_V1-0_monthly_O3_Australia_1990_2019 |
title | Bayesian Neural Network Downscaled Monthly Surface O3 for Australia 1990-2019 Version 1.0 |
creator | Haitong Zhe Sun |
contact_email | car.data@sydney.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. |
additional_metadata | /home/public_share_data/ResearchData_CAR/Environment_General/BayNND_Air_Pollution_Model/BayNND_V1-0_monthly_O3_Australia_1990_2019 |
alternate_identifier | https://cloud.car-dat.org/index.php/apps/files/?dir=/Environment_General/BayNND_Air_Pollution_Model/BayNND_V1-0_monthly_O3_Australia_1990_2019 |
associated_party | |
access_rules | Access by request. Shared by authors for academic purpose only. |
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 |
licence_code | other |
accessibility | CAR |