Automated Author ProfileOda, T.
Goddard Space Flight Center
Oda, T.
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.4 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The uncertainty in biospheric carbon dioxide (CO2) flux estimates drives divergent projections of future climate and uncertainty in prescriptions for climate mitigation. The terrestrial carbon sink can be inferred from atmospheric CO2 observations with transport models via inversion methods. Regional CO2 flux estimates remain uncertain due to the mixture of uncertainties caused by transport models, prior estimates of biospheric fluxes, large-scale CO2 boundary inflow, the assumptions in the inversion process, and the limited density of atmospheric CO2 observations. Understanding the characteristics of these uncertainties in space and time is essential for accurate biospheric CO2 flux estimates. Here we identify the terms that most confound biospheric flux estimates using an ensemble approach. This ensemble model output includes 10 WRF-Chem CO2 transport simulations. Each transport simulation comprises 18 CO2 biogenic fluxes, 25 fossil fuel emissions, and four boundary conditions from various global models. WRF-Chem transport simulation at 27 km x 27 km with 51 vertical levels for the time period of 2010. Detailed description of model setup and associated results can be found in Feng et al, [2019a, 2019b].
Authors
- Feng, S. ;
- Lauvaux, T. ;
- Davis, K.J. ;
- Keller, K. ;
- Rayner, R. ;
- Oda, T. ;
- Gurney, K. ;
- Zhou, Y. ;
- Williams, C. ;
- Schuh, A.E. ;
- Liu, J. ;
- Baker, I.