Session 2B Deep Learning Applications for Environmental Science. Part I

Monday, 13 January 2020: 2:00 PM-4:00 PM
156A (Boston Convention and Exhibition Center)
Hosts: (Joint between the 19th Conference on Artificial Intelligence for Environmental Science; and the Events )
Cochairs:
Tianle Yuan, JCET, Baltimore, MD and Sarvesh Garimella, ACME AtronOmatic, LLC, Portland, OR

Papers:
2:00 PM
2B.1
Classifying Global Low-Cloud Morphology with a Deep Learning Model: Results and Potential Use
Tianle Yuan, JCET, Baltimore, MD; and J. Mohrmann, H. Song, R. Wood, K. Meyer, and L. Oreopoulos
Recorded Presentation

2:15 PM
2B.2
A Deep Learning Approach for Intelligent Compression of Satellite Data
Sarvesh Garimella, ACME AtronOmatic, LLC, Portland, OR
Recorded Presentation

2:30 PM
2B.3
Artificial Intelligence (AI) Techniques to Enhance Satellite Data Use for Nowcasting and NWP/Data Assimilation
S. A. Boukabara, NOAA/NESDIS/STAR, College Park, MD; and E. Maddy, N. Shahroudi, R. N. Hoffman, T. Connor, S. Upton, J. E. Ten Hoeve III, V. Krasnopolsky, and K. Garrett
Recorded Presentation

2:45 PM
2B.4
Convective Storm Nowcasting Using a Deep Learning Approach
Lei Han, Ocean Univ. of China, Qingao, China; and W. Zhang and J. Sun
Recorded Presentation

3:00 PM
2B.5
Using Deep Learning Algorithms in Forecasting the Severe Haze Events in Southeast Asia
Chien Wang, CNRS/UPS, Toulouse, France
Recorded Presentation

3:15 PM
2B.6
Learning and Inference of Advective Fluid Transport in Geophysical Environments
Chinmay S. Kulkarni, MIT, Cambridge, MA; and P. F. J. Lermusiaux
Recorded Presentation

3:30 PM
2B.7
Downscaling Numerical Weather Models with GANs
Alok Singh, Terrafuse, Berkeley, CA; and B. White, A. Albert, and K. Kashinath
Manuscript (8.0 MB)

3:45 PM
2B.8
Finescale Surface Climate Data with Deep Learning
Thomas C. M. Martin, Univ. of São Paulo, São Paulo, Brazil; and H. R. Rocha, K. Brauman, M. Flörke, G. M. P. Perez, R. L. N. Wanderley, L. M. Domingues, and R. C. Abreu
Recorded Presentation

- Indicates paper has been withdrawn from meeting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