E. P. Nowottnick
- ORCiD
- https://orcid.org/0000-0001-8015-594X
- OpenAlex ID
- https://openalex.org/A5051197889 (API record)
Associated Concepts [?]
- Geography
- Physics
- Meteorology
- Environmental science
- Geology
- Organic chemistry
- Chemistry
- Aerosol
- Atmospheric sciences
- Remote sensing
- Climatology
- Optics
- Engineering
- Computer science
- Oceanography
- Lidar
- Biology
- Operating system
- Astronomy
- Aerospace engineering
- Thermodynamics
- Satellite
- Political science
- Law
- Ecology
Authored Works
sorted by decreasing year, and then by display-name
- The ALICAT Lidar for the AOS-Inclined Orbit: Instrument Overview and Projected Performance
- Overview of Measurements Collected during NASA's Convective Processes Experiment - Cabo Verde (CPEX-CV) in the East Atlantic in September 2022
- An Investigation of South American Biomass Burning Particle Sphericity Using CATS Data
- AOS Inclined Time-Varying Observations of Aerosols, Clouds, Convection, and Precipitation
- The Evolution of Backscatter Lidar Technologies: From High-Altitude Aircraft to SmallSats
- The ACCP Inclined Orbit Project: Enabling New and Synergistic Aerosol Remote Sensing Inversions
- Machine Learning Algorithms for Aerosol and Cloud Detection Using CATS on the ISS
- Characterizing the Seasonal and Diurnal Aerosol Cycles using CATS Space-Based Lidar
- An Investigation of Smoke Particle Sphericity Using CATS Data
- Aerosol retrieval simulations in support of the Designated Observable Study for the NASA ACCP (Aerosols, Clouds, Convection, Precipitation) project
- Aerosol Retrievals of Simulated Polarimetric Observations Derived from the GEOS-5 Nature Run: Exploring Polarimeter Performance Under Complex Conditions
- A Review of Global Monitoring and Data Assimilation of Aerosol Vertical Structure: Past, Present and Future
- A Review of Dust Optical Properties used in Earth and Mars System Modeling, as well as Remote Sensing Applications
- A Next Generation SmallSat Lidar Concept for Atmospheric Science and Opportunities for Multi-Sensor and Modeling Synergy for Aerosol Retrievals
Linked Co-Authors
- A. M. Sayer
- Allison McComiskey
- Armin Sorooshian
- David M. Winker
- Emily Berndt
- Fan Mei
- Hongbin Yu
- Hélène Brogniez
- Jeffrey S. Reid
- Jens Redemann
- Jianglong Zhang
- John E. Yorks
- Juan Cuesta
- Jun Wang
- Kenneth E. Christian
- Kirk Knobelspiesse
- Luke D. Ziemba
- M. D. Smith
- M. J. Garay
- Mark Vaughan
- Matthew J. McGill
- Mian Chin
- Osku Kemppinen
- Peng Xian
- Peter R. Colarco
- R. A. Ferrare
- Robert C. Levy
- Ron Miller
- S. P. Burton
- Scott D. Guzewich
- Takuji Kubota
- Tyler J. Thorsen
- Xu Liu
- Оleg Dubovik
Linked Collaborating Institutions
- Brookhaven National Laboratory, New York
- Desert Research Institute
- European Centre for Medium Range Weather Forecasts, UK
- JAXA, Institute of Space and Astronautical Science
- Jet Propulsion Laboratory
- NASA Goddard Space Flight Center, Maryland
- NASA Langley Research Center
- NASA Marshall Space Flight Center
- National Oceanic and Atmospheric Administration, Boulder
- Pacific Northwest National Laboratory
- Pennsylvania State University
- Science Systems and Applications Inc., Maryland
- U.S. Department of the Navy, Naval Research Laboratory, Washington DC
- University of Arizona
- University of Iowa
- University of Maryland, Baltimore County
- University of Miami, Florida
- University of North Dakota
- University of Oklahoma, Norman
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