Poster Session 2 AI for Environmental Science Poster Session II

Wednesday, 15 January 2020: 4:00 PM-6:00 PM
Hall B (Boston Convention and Exhibition Center)
Hosts: (Joint between the 19th Conference on Artificial Intelligence for Environmental Science; and the Events )
John K. Williams, The Weather Company, Andover, MA; Zhonghua Zheng, University of Illinois at Urbana−Champaign, Department of Civil and Environmental Engineering, Urbana, IL and Maria J. Molina, AccuWeather, Inc., Office of Organizational Excellence, State College, PA

Wind Power Forecasting Using Hybrid ANN–NWP Models
Martin Boden, ETH, Zurich, Switzerland; and B. Afshar, G. West, and R. Stull

Improved Forecasts of Incoming Solar Radiation Using Machine Learning and Ensemble Weather Model Output
Sarah-Ellen Calise, Northern Vermont Univ., Lyndonville, VT; and D. M. Siuta

Characterizing Regime-Based Flow Uncertainty for Source Term Estimation Applications
Robert C. Tournay, Air Force Institute of Technology, Wright-Patterson AFB, OH; US Air Force, Offutt Air Force Base, NE; and J. Fioretti

Applications of Deep Learning to Enhance Environmental Sensing Capabilities of Mobile Devices and Other Image Sensors
David R. Callender, Creare LLC, Hanover, NH; and J. Bieszczad, M. Shapiro, and J. Milloy

Handout (952.3 kB)

AI-Powered Chatbot For Effective Weather Communication
Saiadithya Cumbulam Thangaraj, Earth Networks, Germantown, MD; and M. Stock and J. Lapierre

A Machine Learning Based Cloud Mask and Thermodynamic Phase Classification Method using Suomi-NPP VIIRS Spectral Observations
Chenxi Wang, GSFC/ESSIC/UMD, College Park, MD; and S. Platnick, K. Meyer, Z. Zhang, and Y. Zhou

The Use of a Deep Neural Network to Represent Radiation Transfer Calculations in the E3SM
Linsey Passarella, ORNL, Oak Ridge, TN; and A. Pal, S. Mahajan, and M. R. Norman

Emulating Numeric Hydroclimate Models with Physics-Informed cGANs
Ashray H Manepalli, Terrafuse, Berkeley, CA; and A. Albert, A. M. Rhoades, D. Feldman, and A. D. Jones

Machine Intelligence Approach to Precipitation Nowcasting for Transportation Network-of-Networks Resilience
Nishant Yadav, Northeastern Univ., Boston, MA; and A. Ganguly and S. Chatterjee

An Update on the MRMS Product Suite for the Transportation Sector
Heather D. Reeves, CIMMS/Univ. of Oklahoma and NOAA/NSSL, Norman, OK; and S. Handler, A. Eddy, and A. A. Rosenow

Applying Deep Learning to Sea Surface Temperature Retrieval
Zichao Liang, Atholton High School, Columbia, MD; and X. Liang

XCO2 Retrieval Using a Neural Network–Based Algorithm from OCO–2 measurements
Jaemin Hong, Yonsei Univ., Seoul, Korea, Republic of (South); and J. Kim, W. Kim, Y. Cho, H. Chong, and H. Lim

Application of Machine Learning to Classify and Predict Events of Severe PM2.5 Pollution in Taiwan
Wei-Ting Chen, National Taiwan Univ., Taipei, Taiwan; and C. W. Chang, P. J. Chen, T. S. Yo, S. H. Su, C. Y. Su, and C. M. Wu

Using Statistical Learning to Predict the Extratropical Transition of Tropical Cyclones
Melanie Bieli, Columbia Univ., New York, NY; and A. H. Sobel, S. J. Camargo, and M. K. Tippett

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner