Search results

First 1259 results for ” Mark A Bourassa”

1. Self-supervision, remote sensing and abstraction: representation learning across 3 million locations

   Self-supervision based deep learning classification approaches have received considerable attenti...

   Sachith Seneviratne, Kerry A. Nice, Jasper S. Wijnands, Mark Stevenson, Jason Thompson | Journal: Digital Image Computing: Techniques and Applications (DICTA) | Year: 2022 | doi: https://doi.org/10.1109/DICTA52665.2021.9647061

   Publication

2. The impact of the COVID-19 pandemic on air pollution: A global assessment using machine learning techniques

   In response to the COVID-19 pandemic, most countries implemented public health ordinances that re...

   Jasper S. Wijnands, Kerry A. Nice, Sachith Seneviratne, Jason Thompson, Mark Stevenson | Journal: Atmospheric Pollution Research | Volume: 13 | Year: 2022 | doi: https://doi.org/10.1016/j.apr.2022.101438

   Publication

3. Comparison of model predicted low-level cloud parameters with observations from the BALTEX Bridge Campaigns

   The BALTEX Bridge Campaigns (BBC), which were held in the Netherlands in 2001 and 2003 around the...

   NMN van Lipzig, M Schröder, S Crewell, F Ament, J-P Chaboureau, U Löhnert, V Matthias, E van Meijgaard, M Quante, U Willén, W Yen | Status: published | Journal: Atmospheric Research | Volume: 82 | Year: 2006 | First page: 55 | Last page: 82 | doi: doi:10.1016/j.atmosres.2006.01.010

   Publication

4. Nitrogen oxides in the free troposphere: implications for tropospheric oxidants and the interpretation of satellite NO2 measurements

   Satellite-based retrievals of tropospheric NO2 columns are widely used to infer NOx (≡ NO + NO2) ...

   Shah, V., Jacob, D. J., Dang, R., Lamsal, L. N., Strode, S. A., Steenrod, S. D., Boersma, K. F., Eastham, S. D., Fritz, T. M., Thompson, C., Peischl, J., Bourgeois, I., Pollack, I. B., Nault, B. A., Cohen, R. C., Campuzano-Jost, P., Jimenez, J. L., Andersen, S. T., Carpenter, L. J., Sherwen, T., and Evans, M. J. | Journal: Atmos Chem Phys | Volume: 23 | Year: 2023 | First page: 1227 | Last page: 1257 | doi: https://doi.org/10.5194/acp-23-1227-2023

   Publication

5. Active Provenance for Data-Intensive Workflows: Engaging Users and Developers

   We present a practical approach for provenance capturing in Data-Intensive workflow systems. It p...

   Alessandro Spinuso | Journal: 15th International Conference on eScience (eScience) | Year: 2019 | doi: 10.1109/eScience.2019.0007

   Publication