AI and Machine Learning

Sunday, 12 January 2025: 6:30 PM-8:30 PM
Hall C (New Orleans Ernest N. Morial Convention Center)
Host: 24th Annual Student Conference

Papers:
S1
Improving Translation Accuracy in Weather Reports With AI

S2
All-weather VIIRS Land Surface Temperature based on Machine Learning Method
Shuo Xu, University of Maryland, RIVERDALE, MD; and Y. Liu

S3
A Simple Neural Network to Improve GFS Temperature and Dew Point Forecasts
Cameron David Gilbert, North Carolina State Univ., Raleigh, NC; and S. E. Yuter, M. A. Miller, and W. Lewis

S4
Using Machine Learning to Assess Solar Radiation Data Quality at the Kansas Mesonet
Braedyn D McBroom, University of Arkansas, Fayetteville, AR; and C. A. Redmond and D. Regier

Handout (1.5 MB)

S5
Development of a Convolutional Neural Network to Predict Orographic Precipitation Gradients of the Western CONUS
Anna James, University of Nebraska-Lincoln, Lincoln, NE; and S. Wolvin and C. Strong

Handout (2.7 MB)

S6
Deep Learning for Numerical Weather Prediction Post-Processing in the NE U.S.
Steven D Aarons, NSF, Brooklyn, NY

S7
Quantifying Inequity in Data-Driven and Physics-Based Weather Models
Dean Calhoun, University of Maryland, College Park, MD; and M. J. Molina and C. Metzler

S8
Using Explainable Artificial Intelligence to Study Rapid Updraft Strengthening in Supercells
Evan White, University of Oklahoma, Norman, OK; and G. Cenker, A. J. Muehr, and V. Tiradoegas

Handout (2.3 MB)

S9
The Use of Machine Learning in Correcting 3-day WRF Simulated Tropical Cyclone Track and Landfall Positions
Victoria Maxwell, Mississippi State University, Brandon, MS; and A. E. Mercer

S10
Objectively Identifying Transverse Cirrus Bands in Tropical Cyclones with a Convolutional Neural Network
John Mark Mayhall, MSFC, Huntsville, AL; and P. Duran, A. T. White, and R. A. Wade
Manuscript (566.1 kB)

Handout (735.9 kB)

S11
Effect of Anthropogenic Forcing on Anomalous Hydroclimate Events in Europe Detected by an Autoencoder
Sophia Zhou, Princeton Day School, Princeton, NJ; GFDL/NOAA, Princeton, NJ; and H. Murakami

Handout (583.6 kB)

S12
Analyzing How Teleconnections Influence Extreme Rainfall Events in the Central U.S. Using Causal Networks
Christopher Louis Germano, NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES), Norman, OK; University of North Carolina at Charlotte, Charlotte, NC; and M. M. Madsen and J. Celis

S13
Autoregressive Atmospheric Profile Data Assimilation using Diffusion Model
Minki Choo, Ulsan National Institute of Science and Technology, Ulsan, 48, South korea; and J. Im

Handout (2.4 MB)

S14
Analysis of Evidential Deep Learning for Winter Precipitation Prediction
Sophia Reiner, NCAR, Boulder, CO; University of Wisconsin -- Madison, Madison, WI

S15
Every Hour, Across East Asia: 24-hour, Full-Coverage Ground-level Ozone Estimation Techniques using Machine Learning
Yejin Kim, Ulsan National Institute of Science and Technology, Ulsan, South korea; and S. Park, H. Choi, and J. Im

Handout (5.0 MB)

S16
Land Use Land Cover Classification using Machine Learning, the Case of Upper Awash Basin Ethiopia.
Hailemariam Mengistu Doko, University of Tsukuba, Tsukuba, Ibaraki, Japan; and D. Koji

S17
Enhancing Object Geolocations in Imagery to Improve Disaster Damage Mapping and Assessment
Jooho Kim, Texas A&M University, Houston, TX; and S. Bose, S. Brasseaux, and J. Kim

Handout (2.3 MB)

S18
Evaluating Machine Learning Updraft Retrieval Skill: Convective Case Studies
Miles Harmala, St. Cloud State University, St. Cloud, MN; and R. Chase, P. J. Marinescu, and D. M. Stechman

Handout (1.4 MB)

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
See more of: 24th Annual Student Conference
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