Edward P. Nowottnick
Organization:
NASA Goddard Space Flight Center
Email:
Business Phone:
Work:
(301) 614-6553
Mobile:
(443) 254-3713
Business Address:
Code 612
Greenbelt, MD 20771
United StatesFirst Author Publications:
- Nowottnick, E. P., et al. (2022), Aerosol Detection from the Cloud–Aerosol Transport System on the International Space Station: Algorithm Overview and Implications for Diurnal Sampling, Atmosphere, 13, 1439, doi:10.3390/atmos13091439.
Co-Authored Publications:
- Levy, C., et al. (2024), Mineral dust optical properties for remote sensing and global modeling: A review Patricia Castellanos a, *, Peter Colarco b, W. Reed Espinosa c, Scott D. Guzewich d, Robert, Remote Sensing of Environment, 303, 113982, doi:10.1016/j.rse.2023.113982.
- Midzak, N., et al. (2024), An Investigation of Non-Spherical Smoke Particles Using CATS Lidar, J. Geophys. Res..
- Rocha Lima, et al. (2024), Investigation of observed dust trends over the Middle East region in NASA Goddard Earth Observing System (GEOS) model simulations, Atmos. Chem. Phys., doi:10.5194/acp-24-2443-2024.
- Lu, Z., et al. (2023), First Mapping of Monthly and Diurnal Climatology of Saharan Dust Layer Height Over the Atlantic Ocean From EPIC/DSCOVR in Deep Space, Geophys. Res. Lett., 50, e2022GL102552, doi:10.1029/2022GL102552.
- Palm, S. P., et al. (2021), Planetary Boundary Layer Height Estimates From ICESat-2 and CATS Backscatter Measurements, Front. Remote Sens., 2, 716951, doi:10.3389/frsen.2021.716951.
- Yorks, J., et al. (2021), Aerosol and Cloud Detection Using Machine Learning Algorithms and Space-Based Lidar Data, Atmosphere, 12, 606, doi:10.3390/atmos12050606.
- Proestakis, E., et al. (2019), EARLINET evaluation of the CATS Level 2 aerosol backscatter coefficient product, Atmos. Chem. Phys., 19, 11743-11764, doi:10.5194/acp-19-11743-2019.
- Yorks, J., et al. (2016), An overview of the CATS level 1 processing algorithms and data products, Geophys. Res. Lett., 43, 4632-4639, doi:10.1002/2016GL068006.