Global Surface Ozone Concentration Dataset 1990-2017 Generated by Bayesian Maximum Entropy Data Fusion With RAMP Bias Correction
Creators
- Becker, Jacob S.1
- Delang, Marissa N.1
- Chang, Kai-Lan2
- Serre, Marc L.1
- Cooper, Owen R.2
- Schultz, Martin G.3
- Schroder, Sabine3
- Lu, Xiao4
- Zhang, Lin5
- Deushi, Makoto6
- Josse, Beatrica7
- Keller, Christoph A.8
- Lamarque, Jean-Francois9
- Lin, Meiyun10
- Liu, Junhua8
- Marecal, Virginie7
- Strode, Sarah A.8
- Sudo, Kengo11
- Tilmes, Simone9
- Zhang, Li12
- Brauer, Michael13
- West, J. Jason1
- 1. University of North Carolina at Chapel Hill
- 2. University of Colorado, NOAA
- 3. Forschungszentrum Julich
- 4. Sun Yat-Sen University
- 5. Peking University
- 6. Meteorological Research Institute, Tsukuba
- 7. Universite de Toulouse
- 8. NASA Goddard Space Flight Center, Universities Space Research Association
- 9. National Center for Atmospheric Research
- 10. NOAA Geophysical Fluid Dynamics Laboratory, Princeton University
- 11. Nagoya University, Japan Agency for Marine-Earth Science and Technology
- 12. NOAA Geophysical Fluid Dynamics Laboratory, Princeton University, Pennsylvania State University
- 13. Institute for Health Metrics and Evaluation, University of British Columbia
Description
This dataset reports estimates of surface ozone concentration at fine spatial resolution for 1990 to 2017, at 0.5 degree horizontal resolution. Also reported is the variance. Estimates correspond to a paper by Becker et al. currently under review with the journal Elementa.
The dataset reports estimates of surface ozone for the OSDMA8 metric (the 6-month ozone-season average of the daily maximum 8-hr concentration), estimated through a data fusion of ozone observations from the Tropospheric Ozone Assessment Report (TOAR) database, and output from multiple global atmospheric models. Estimates are created in each year by a combination of M3Fusion to create a multi-model composite, Regional Air Quality Model Performance (RAMP) regional and nonlinear bias correction, and Bayesian Maximum Entropy (BME) data fusion in space and time. The estimates here are the final results using a weighted RAMP bias correction.
Notes
Files
SpaceTimeEstimateandVariance1990.csv
Files
(144.7 MB)
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