WORKSHOP AGENDA

Day 1

Time	Session	Name	Affiliation	On/Off	Abstract title	Abstract
08:30 - 09:00	Registration
09:00 - 10:50	KMA Opening
10:50 - 11:00	Break
11:00 - 11:30	Workshop Opening
11:30 - 12:00	Session 01: Kijun Park	Hyesook Lee	NIMS	offline	keynote: How AlphaWeather incorporates Weather Forecast : Can be a Locomotive of Next-Generation Forecast system?
12:00 - 12:30	Session 01: Kijun Park	Vijay Tallapragada	NOAA/NCEP/EMC	offline	keynote: Advances in Artificial Intelligence and Machine Learning for Operational Numerical Weather Prediction	-
12:30 - 13:50	Lunch
13:50 - 14:20	Session 02: Robert Redmon	Sid Boukabara	NOAA/NESDIS	online	keynote: Can we Design a New NWP Data Assimilation System Based Entirely on AI Techniques? Advantages & Challenges
14:20 - 14:40		Vladimir Krasnopolsky	NOAA/NCEP/EMC	offline	Introducing ML Components into NWP Models: Challenges and Perspectives
14:40 - 15:00		Taejin Oh	KIAPS	offline	Recent Development in Artificial Intelligence at KIAPS
15:00 - 15:20		Eric Maddy	NOAA/NESDIS/STAR	online	Forecast Impact Assessment of AI-based Data Assimilation using NOAA's Global Forecasting System
15:20 - 15:40		Alan Geer	ECMWF	online	Using machine learning to improve data assimilation for weather forecasting
15:40 - 17:50	-
18:00	Banquet

Day 2

Time	Session	Name	Affiliation	On/Off	Abstract title	Abstract
09:00 - 09:30	Session 03: Vladimir Krasnopolsky	Seyoung Yun	KAIST	offline	keynote: Deep learning-based post-processing of numerical weather predictions
09:30 - 09:50		Allen Huang	CIMMS	offline	Operational Demonstration of an AI-based Hyper-Local Wind and Solar Energy Forecast Enhancement
09:50 - 10:10		Zhu Yuejian	NOAA/NCEP/EMC	offline	Deep Learning for Post-processing Ensemble Weather and Subseasonal Prediction
10:10 - 10:30		Sue Ellen Haupt	NCAR	offline	Machine Learning for Model Parameterizations and Post-processing
10:30 - 10:50	Break
10:50 - 11:20	Session 04: Vijay Tallapragada	Jeff Adie	NVDIA	online	Keynote: NVIDIA Earth-2 Digital Twin Initiative	-
11:20 - 11:40		Yoo-Geun Ham	CNU	offline	Partial-convolution-implemented generative adversarial network (GAN) for global oceanic data assimilation
11:40 - 12:00		Christopher Bretherton	Allen Institute for Artificial Intelligence (AI2)	offline	Machine learning correction of parameterized physics in coarse-resolution FV3GFS across a range of climates
12:00 - 12:20		Hwanjin Song	KNU	offline	Recent advances of radiative transfer emulator in WRF model
12:20 - 12:40		Kyo-Sun Sunny Lim	KNU	offline	Neural network emulator for melting processes in a bulk-type cloud microphysics parameterization
12:40 - 13:30	Lunch
13:30 - 14:50	Poster Session
14:50 - 15:20	Session 05: Taejin Oh	Robert Redmon	NOAA/NCAI	offline	keynote: NOAA Center for Artificial Intelligence: Piloting our way to an AI Ready Agency and Workforce	-
15:20 - 15:40		David John Gagne	NCAR	offline	The Challenges of Developing Trustworthy AI Systems for High Impact Weather Prediction
15:40 - 16:00		Jaesik Choi	KAIST	offline	Explainable Artificial Intelligence for Precipitation Forecasting
16:00 - 16:20		Minsu Joh	KISTI	offline	An Introduction of Various Deep Learning Studies for Weather Phenomena in the KISTI
16:20 - 16:40	Break
16:40 - 17:00	Session 06: Hwanjin Song	Amy McGovern	OU/AI2ES	online	Update on the NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES)
17:00 - 17:20		Sanghyuk Choi	NCSoft	online	Weather News Generation with Hierarchical Copy Network
17:20 - 17:40		Roy Varghese	Microsoft	online	Accelerating Machine Learning with open standards and data
17:40 - 18:00		Stephen Penny	Sofar Ocean Technology	online	Advances toward integrated AI/ML and data assimilation for operational forecasting
18:00 - 18:20		Richard Müller	DWD	online	Artificial Intelligence for weather forecasts at the German Meteorological Service: Status and perspectives
18:20 - 18:40		Peter Dueben	ECMWF	online	Machine Learning at the European Centre for Medium-Range Weather Forecasts

Day 3

Time	Session	Name	Affiliation	On/Off	Abstract title	Abstract
9:00 - 12:20	Hands-on		NVIDIA KOREA	offline		-

09:00 - 09:20	Session 07: Hyesook Lee	Wonsu Kim	KISTI	offline	Precipitation Nowcasting Improvements based on an Advanced Deep Learning Model using Composited Radar Reflectivity and ERA5 Reanalysis
09:20 - 09:35		Yeji Choi	SIA	offline	Application of deep-learning-based video frame interpolation technique for geostationary meteorological satellite images
09:35 - 09:50		Sunyoung Kim	NIMS	offline	Operation and verification of AI-based model for precipitation nowcasting using weather radar data
09:50 - 10:05		Junghwan Kim	CNU	offline	Deep learning for tropical cyclone intensity change prediction
10:05 - 10:20		JuHyun Lee	UNIST	offline	Multi-task learning based tropical cyclone intensity forecasting through the synergistic fusion of geostationary satellite data and numerical forecasting model output
10:20 - 10:40		Yoonjin Lee	CIRA	online	Using optical flow to remove storm motion from GOES-16 image sequences to help machine learning algorithms detect convection
10:40 - 10:55	Break
10:55 - 11:10	Session 08: Kijun Park	Seok-Geun Oh	SNU	offline	Evaluation of deep-learning-based very short-term rainfall forecasts in South Korea
11:10 - 11:25		Dongjin Cho	UNIST	offline	Domain knowledge-guided UNet approach for spatial downscaling of GDAPS model’s air temperature forecast in summer
11:25 - 11:40		Fan Yun	NOAA/NCEP/CPC	online	Improving Sub-seasonal Precipitation and Temperature Outlooks with Deep Learning
11:40 - 11:55		Jaehoon Yoo	KAIST	online	Long Video Generation with Memory Efficient Bidirectional Transformers
11:55 - 12:10		Inkyung Kim	NIMS	offline	A Study on the Methodology of Building AI Training Datasets for AI/ML/NLP based on Forecast Support Solution
12:10- 12:25		M.M. Nageswara Rao	NOAA/NCEP/EMC	online	Artificial Neural Network on GEFSv12 Reforecast products for Summer Rainfall forecast on Extended Range over CONUS
12:30	Closing

List of Poster Presentations

Day 2 13:20~14:50

No.	Abstract Title	Name	Affiliation
1	Generation of global weather radar from satellite images by deep learning	Jinkoo Yim	KHU
2	Development of RNN-LSTM based Tropical Cyclone Track Prediction scheme over the western North Pacific	You-Hyun Baek	NIMS
3	Automatic optimization experiment of the neural network radiation emulator using Sherpa	Park Sa Kim	NIMS
4	Estimation of Tropical Cyclone Intensity Based on Deep Learning and Transfer Learning Using Geostationary Satellite Images	Hye-Yoon Jung	JNU
5	Radiation Parameterization Emulator Development Using Deep-learning techniques for Korean Integrated Model	Wooyeon Park	KIAPS
6	Development of vertical temperature and humidity of radiometer using AI method	Min Woo Kim	NIMS
7	Comparison of performance for different Neural Network Architectures in PBL parameterization emulator in KIM	Jiyeon Jang	KIAPS
8	A Long-term Prediction of the Arctic Sea Ice Concentration using Deep-learning Approach	Young Jun Kim	UNIST
9	Deep learning-based future drought prediction for the US drought monitor	Bokyung Son	UNIST
10	Comparison of key factors in radar-based quantitative precipitation nowcasting using deep learning	Daehyeon Han	UNIST