Scott W. Powell
flowchart A[Scott W. Powell] AC["Associated Concepts (19)"] AW["Authored Works (6)"] CA["Linked Co-Authors (4)"] CI["Linked Collaborating Institutions (4)"] A== dcterms:relation ==>AC AW== author ==>A AW== author ==>CA AW== affil ==>CI click AC "#associated-concepts" click AW "#authored-works" click CA "#co-authors" click CI "#collaborating-institutions" NI["add incoming edge"] NO["add outgoing edge"] NI-- ? -->A A-- ? -->NO click NI "#add-incoming-edge" click NO "#add-outgoing-edge" style NI stroke-width:2px,stroke-dasharray: 5 5 style NO stroke-width:2px,stroke-dasharray: 5 5
- ORCiD
- https://orcid.org/0000-0002-0306-8401
- OpenAlex ID
- https://openalex.org/A5032104496 (API record)
Associated Concepts [?]
- Physics
- Geology
- Geography
- Meteorology
- Climatology
- Environmental science
- Thermodynamics
- Mechanics
- Convection
- Quantum mechanics
- Atmospheric sciences
- Computer science
- Engineering
- Biology
- Madden–Julian oscillation
- Aerospace engineering
- Oceanography
- Medicine
- Remote sensing
Authored Works
sorted by decreasing year, and then by display-name
- Updraft Dynamics During the CALifornia Investigation of Convection over Ocean (CALICO)
- Towards Trusting Synthetic Microwave Retrievals: Introducing Uncertainty Quantification in a New Bayesian Convolutional Neural Network Architecture
- Precipitation Type from PMW Observations: Constellation Retrieval with Uncertainty Estimates
- Dynamic Drivers of Shallow to Deep Convective Transition of Updrafts near Terrain
- What Controls Shallow to Deep Convective Transitions in Cloud Populations and in Individual Clouds?
- Quantifying Uncertainty in Precipitation Type Detection with Bayesian Deep Learning
Linked Co-Authors
Linked Collaborating Institutions
- Colorado State University
- U.S. Naval Academy Postgraduate School, California
- University of Maryland, College Park
- University of Washington, Seattle
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