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
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