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 )
Cochairs:
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

Papers:
1352
Projected Changes in Summertime Circulation Patterns Imply Increased Drought Risk for the South-Central United States
Jung-Hee Ryu, Texas Tech Univ., Lubbock, TX; and K. Hayhoe and S. L. Kang

1353
Wind Power Forecasting Using Hybrid ANN–NWP Models
Martin Boden, ETH, Zurich, Switzerland; and B. Afshar, G. West, and R. Stull

1354
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

1355
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

1356
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)

1357
AI-Powered Chatbot For Effective Weather Communication
Saiadithya Cumbulam Thangaraj, Earth Networks, Germantown, MD; and M. Stock and J. Lapierre

1358
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

1359
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

1360
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

1361
Machine Intelligence Approach to Precipitation Nowcasting for Transportation Network-of-Networks Resilience
Nishant Yadav, Northeastern Univ., Boston, MA; and A. Ganguly and S. Chatterjee

1362
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

1363
Applying Deep Learning to Sea Surface Temperature Retrieval
Zichao Liang, Atholton High School, Columbia, MD; and X. Liang

1364
Applying Deep Learning to Top-of-the-Atmosphere Radiance Simulation for VIIRS by Community Radiative Transfer Model
X. Liang, ESSIC/UMD, College Park, MD; and Q. Liu

1365
Hourly PM2.5 Estimates from Different Measurements of a Geostationary Satellite Using an Ensemble Learning Algorithm
Jianjun Liu, Environmental Model and Data Optima Laboratory, Laurel, MD

1366
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

1367
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

1367A
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
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