11 Air_pollution_model_GlobalGWR_PM25
| Project metadata | |
|---|---|
| Project Title | Air_pollution_model_GlobalGWR_PM25 |
| Owners | Geoffrey Morgan |
| Project Abstract |
Surface PM2.5 Global Estimates (V4.GL.02): Atmospheric Composition Analysis Group at Dalhousie University Data downloaded from http://fizz.phys.dal.ca/~atmos/martin/?page_id=140 |
11.1 GlobalGWR_PM25_V4GL02
| Accessibility | Provision Status | Licence |
|---|---|---|
| CARDAT | Published | other |
| Metadata fields | |
|---|---|
| Short Name | GlobalGWR_PM25_V4GL02 |
| Title | Surface PM2.5 Global Estimates (V4.GL.02) |
| Creators | Ivan Hanigan |
| Contact Email | car.data@sydney.edu.au |
| Abstract |
These data are estimated ground-level fine particulate matter (PM2.5) by combining Aerosol Optical Depth (AOD) retrievals from the NASA MODIS, MISR, and SeaWIFS instruments with the GEOS-Chem chemical transport model, and subsequently calibrated to global ground-based observations of PM2.5 using Geographically Weighted Regression (GWR) as detailed in the below reference. References: van Donkelaar, A., R.V Martin, M.Brauer, N. C. Hsu, R. A. Kahn, R. C Levy, A. Lyapustin, A. M. Sayer, and D. M Winker, Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors, Environ. Sci. Technol, doi: 10.1021/acs.est.5b05833, 2016. Estimates prior to 2008 incorporate temporal information from: Boys, B.L., Martin, R.V., van Donkelaar, A., MacDonell, R., Hsu, N.C., Cooper, M.J., Yantosca,R.M., Lu, Z., Streets,D.G., Zhang,Q., Wang,S., Fifteen-year global time series of satellite-derived fine particulate matter, Environ. Sci. Technol, 10.1021/es502113p, 2014. van Donkelaar, A., R. V. Martin, M. Brauer and B. L. Boys, Global fine particulate matter concentrations from satellite for long-term exposure assessment, Environmental Health Perspectives, 123, 135-143, DOI:10.1289/ehp.1408646, 2015. |
| Study Extent | |
| Associated Parties | |
| Repository Path | Environment_General/Air_pollution_model_GlobalGWR_PM25/GlobalGWR_PM25_V4GL02 |
| Repository Link | https://cloud.car-dat.org/index.php/apps/files/?dir=/Environment_General/Air_pollution_model_GlobalGWR_PM25/GlobalGWR_PM25_V4GL02 |
| External Link | |
| Recommended Citation | Hanigan, I. (2018): ‘Surface PM2.5 Global Estimates (V4.GL.02)’ created at 2018-03-15 https://cloud.car-dat.org/index.php/apps/files/?dir=/Environment_General/Air_pollution_model_GlobalGWR_PM25/GlobalGWR_PM25_V4GL02. Subset of Aerosol Optical Depth (AOD) data from the NASA MODIS, MISR, and SeaWIFS instruments using the GEOS-Chem chemical transport model, calibrated to global ground-based observations of PM2.5 using Geographically Weighted Regression (GWR) (dataset). https://sedac.ciesin.columbia.edu/data/set/sdei-annual-pm2-5-concentrations-countries-urban-areas-v1-1998-2016 |
11.2 GlobalGWR_PM25_V4GL02_1998_2009
| Accessibility | Provision Status | Licence |
|---|---|---|
| NA | Identified | No licence |
| Metadata fields | |
|---|---|
| Short Name | GlobalGWR_PM25_V4GL02_1998_2009 |
| Title | GlobalGWR_PM25_V4GL02_1998_2009 |
| Creators | Aaron van Donkelaar |
| Contact Email | car.data@sydney.edu.au |
| Abstract | This dataset is designed to provide global estimates of fine particulate matter (PM2.5) concentrations on the Earth’s surface during the period spanning 1998 to 2009. As an essential resource for atmospheric research, this dataset aims to uncover spatiotemporal trends and variations in PM2.5 levels worldwide. |
| Study Extent | |
| Associated Parties | |
| Repository Path | |
| Repository Link | |
| External Link | |
| Recommended Citation | van Donkelaar, A. et al. (2016): Surface PM2.5 Global Estimates (V5.GL.02). Washington University in St. Louis. (Dataset). https://sites.wustl.edu/acag/datasets/surface-pm2-5/ |
11.3 GlobalGWR_PM25_V5GL02_1998_2020
| Accessibility | Provision Status | Licence |
|---|---|---|
| NA | Published | No licence |
| Metadata fields | |
|---|---|
| Short Name | GlobalGWR_PM25_V5GL02_1998_2020 |
| Title | Surface PM2.5 Global Estimates (V5.GL.02) |
| Creators | Aaron van Donkelaar |
| Contact Email | car.data@sydney.edu.au |
| Abstract |
This dataset consists of estimated annual and monthly ground-level fine particulate matter (PM2.5) for 1998-2020, by combining Aerosol Optical Depth (AOD) retrievals from the NASA MODIS, MISR, and SeaWIFS instruments with the GEOS-Chem chemical transport model, and subsequently calibrating to global ground-based observations using a Geographically Weighted Regression (GWR), as detailed in the below reference for V5.GL.01. V5.GL.02 follows the methodology of V5.GL.01, but updates the ground-based observations used to calibrate the geophysical PM2.5 estimates for the entire time series, and extends temporal coverage through 2020. Provided grids use WGS84 and are in netCDF format. The grids consists of a 0.01° resolution PM2.5 surface, an associated uncertainty grid, and a coarser 0.1° resolution PM2.5 surface. All units are in µg/m³. More information can be found at https://sites.wustl.edu/acag/datasets/surface-pm2-5/ . Reference: Aaron van Donkelaar, Melanie S. Hammer, Liam Bindle, Michael Brauer, Jeffery R. Brook, Michael J. Garay, N. Christina Hsu, Olga V. Kalashnikova, Ralph A. Kahn, Colin Lee, Robert C. Levy, Alexei Lyapustin, Andrew M. Sayer and Randall V. Martin (2021). Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty Environmental Science & Technology, 2021, doi:10.1021/acs.est.1c05309. |
| Study Extent | Global monthly and annual surface PM2.5 for 1998-2022 |
| Associated Parties | |
| Repository Path | Environment_General/Air_pollution_model_GlobalGWR_PM25/GlobalGWR_PM25_V5GL02_1998_2020 |
| Repository Link | https://cloud.car-dat.org/index.php/apps/files/?dir=/Environment_General/Air_pollution_model_GlobalGWR_PM25/GlobalGWR_PM25_V5GL02_1998_2020 |
| External Link | |
| Recommended Citation | van Donkelaar, A. et al. (2021): Surface PM2.5 Global Estimates (V5.GL.02). Washington University in St. Louis. (Dataset). https://sites.wustl.edu/acag/datasets/surface-pm2-5/. Retrieved from CARDAT https://cloud.car-dat.org/index.php/apps/files/?dir=/Environment_General/Air_pollution_model_GlobalGWR_PM25/GlobalGWR_PM25_V5GL02_1998_2020 |
11.4 GlobalGWR_PM25_V5GL04_1998_2022
| Accessibility | Provision Status | Licence |
|---|---|---|
| NA | Identified | No licence |
| Metadata fields | |
|---|---|
| Short Name | GlobalGWR_PM25_V5GL04_1998_2022 |
| Title | GlobalGWR_PM25_V5GL04_1998_2022 |
| Creators | Aaron van Donkelaar |
| Contact Email | car.data@sydney.edu.au |
| Abstract | https://sites.wustl.edu/acag/datasets/surface-pm2-5/ |
| Study Extent | |
| Associated Parties | |
| Repository Path | |
| Repository Link | |
| External Link | |
| Recommended Citation |