Poster Session 2 AI for Environmental Science Poster Session II

Wednesday, 15 January 2020: 4:00 PM-6:00 PM
Host: 19th Conference on Artificial Intelligence for Environmental Science
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, NCAR, Boulder, CO

Papers:
Projected changes in summertime circulation patterns imply increased drought risk for the South-Central U.S.
Jung-Hee Ryu, Texas Tech Univ., Lubbock, TX; and K. Hayhoe and S. L. Kang

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 University-Lyndon, 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

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 University, 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

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

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

XCO2 Retrieval Using a Neural Network-based Algorithm from OCO–2 measurements
Jaemin Hong, Yonsei University, 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 University, Taipei City, Taiwan; and C. W. Chang, P. J. Chen, T. S. Yo, S. H. Su, C. Y. Su, and C. M. Wu

- Indicates paper has been withdrawn from meeting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