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Full Workshop Agenda, (PDF, 193 KB)

+ Thursday, 30 July 2020
Session 1: Overview Talks, Part 1
Time Title Speaker
1:00 - 1:05 p.m. Information on the 2nd NOAA AI Workshop: Logistics, Timeline and Structure, (PPTX, 8.33 MB) Kevin Garrett (NOAA/NESDIS/STAR, Local Organizing Committee)
1:05 - 1:15 p.m. Welcoming remarks and introduction of keynote speakers Harry Cikanek (NOAA/NESDIS, STAR Director)
1:15 - 1:25 p.m. Keynote Address, NOAA AI: Realizing Transformational Advances in Mission Performance and Our Culture of Innovation RADM Timothy Gallaudet (NOAA, Deputy NOAA Administrator)
1:25 - 1:35 p.m. Keynote Address Stephen Volz (NOAA, NESDIS Assistant Administrator)
1:35 - 1:45 p.m. Keynote Address, (PDF, 2.49 MB) Nicole LeBoeuf (NOAA, NOS Acting Assistant Administrator)
1:45 - 2:00 p.m. NOAA AI Implementation Plan, (PPTX, 40.97 MB) Bill Michaels (NOAA, NMFS)
2:00 - 2:20 p.m. Efforts in NOAA to Leverage Modern AI techniques for Satellite Data Exploitation and NWP, (PPTX, 169.55 MB) Sid Boukabara (NOAA/NESDIS, STAR Principal Scientist)
2:20 - 2:40 p.m. Machine Learning at ECMWF, (PPTX, 15.98 MB) Peter Dueben (ECMWF)
2:40 - 3:00 p.m. Panel Discussion facilitated by H. Cikanek; Panelists: Dr. Volz, Dr. Jamese Sims, N. LeBoeuf, B. Michaels
+ Thursday, 6 August 2020
Session 2: Fundamentals of AI, Part 1
Chairs: Dave Turner (NOAA. ESRL), Jebb Stewart (NOAA, ESRL)
Time Title Speaker
12:00 - 12:35 p.m. Data Science and Machine Learning at the UK Met Office, (PPTX, 23.94 MB) Samantha Adams (UKMO)
12:35 - 12:55 p.m. Recent Machine Learning Research at NCAR, (PPTX, 39.84 MB) Sue Ellen Haupt (NCAR)
12:55 - 1:20 p.m Data-driven (super-) parametrization using deep learning: Experimentation with a multi-scale Lorenz 96 system and transfer learning, (PPTX, 5.68 MB) Ashesh Chattopadhyay (Rice U.)
1:20 - 1:45 p.m. Panel Discussion Panelists: Session Chairs & Speakers
+ Thursday, 13 August 2020
Session 3: Looking Ahead (Using AI for NOAA mission), Part 1
Chairs: Bill Michaels (NOAA, NMFS), John Ten Hoeve (Office of Organizational Excellence)
Time Title Speaker
12:00 - 12:30 p.m. NOAA Center for AI (NCAI) Introduction, (PPTX, 60.95 MB) Bill Michaels (AI S&T Chair), Mary Wohlgemuth (NCEI Director), Eric Kihn (NCEI CCOG Director), Rob Redmon (NCAI Acting Director, LCDP XI)
12:30 - 1:00 p.m. NCAI Community of Practice (CoMP) Eric Kihn (NCEI CCOG Director), Rob Redmon (NCAI Acting Director, LCDP XI)
1:00 - 1:30 p.m. NCAI CoMP Capabilities Discussion -
+ Thursday, 20 August 2020
Session 4: AI/ML for Post-Processing and Data dissemination, Part 1
Chairs: Greg Dusek (NOAA/NOS), Andre van der Westhuysen (IMSG at NWS/NCEP/EMC)
Time Title Speaker
12:00 - 12:40 p.m. Artificial Intelligence for Advanced Earth Science Information Systems Jacqueline Le Moigne (NASA)
12:40 - 1:10 p.m. Using Random Forests to Create Probabilistic Next-Day Severe Weather Guidance from NWP Ensembles, (PPTX, 112.77 MB) Eric Loken (OU CIMMS/OU)
1:10 - 1:40 p.m. Modeling Clouds From Sub-grid to Global Scales with Deep Generative Models Tianle Yuan (NASA GSFC/UMBC JCET)
1:40 - 2:00 p.m. Panel Discussion Panelists: Session Chairs & Speakers
+ Thursday, 27 August 2020
Session 5: AI/ML for Environmental Data, Image, and Signal Processing, Part 1
Chairs: Imme Ebert-Uphoff (CIRA), Ryan Lagerquist (CIRA/NOAA-GSD)
Time Title Speaker
12:00 - 12:40 p.m. Combining data assimilation and machine learning for weather forecasting, (PPTX, 8.67 MB) Alan Geer (ECMWF)
12:40 - 1:00 p.m. Viewing Climate Signals through an AI Lens, (PDF, 5.59 MB) Elizabeth Barnes (CSU)
1:10 - 1:20 p.m. Video and Image Analytics for Marine Environments (VIAME), a Do-it-yourself AI Toolkit, (PDF, 5.62 MB) Matthew Dawkins (Kitware Inc)
1:20 - 1:40 p.m. Generating High Temporal and Spatial Microwave Hurricane Image Products Using Artificial intelligence and Machine Learning Technique, (PDF, 4.09 MB) Likun Wang (RTi at NESDIS/STAR)
1:40 - 2:00 p.m. Panel Discussion Panelists: Session Chairs & Speakers
+ Thursday, 3 September 2020
Session 6: AI/ML for Information Extraction from Data, Part 1
Chairs: Philippe Tissot (Texas A&M University, Corpus Christi), Jebb Stewart (NOAA, ESRL)
Time Title Speaker
1:00 - 1:20 p.m. AI Quality Control of NOAA Tide Gauge Observations, (PPTX, 3.45 MB) Gregory Dusek (NOAA/NOS)
1:20 - 1:40 p.m. Artificial Intelligence and Deep Machine learning for Passive Acoustic Monitoring at NOAA Fisheries, (PPTX, 16.67 MB) Ann Allen, Manuel Castellote, Shannon Rankin (NOAA/NMFS/PIFSC, NOAA/NMFS/AFSC, NOAA/NMFS/SWFSC)
1:40 - 2:00 p.m. Panel Discussion Panelists: Session Chairs & Speakers
+ Thursday, 10 September 2020
Session 7: Fundamentals of AI, Part 2
Chairs: Amy McGovern (OU), David Hall (NVIDIA)
Time Title Speaker
12:00 - 12:25 p.m Trustworthy AI for High Impact Weather Prediction, (PPTX, 24.81 MB) Amy McGovern (OU)
12:25 - 12:55p.m. Machine Learning for Model Error Inference and Correction, (PDF, 1.96 MB) Massimo Bonavita (ECMWF)
12:50 - 1:15 p.m. Ensemble Oscillation Correction (EnOC): Leveraging oscillatory modes to improve forecasts of chaotic systems, (PDF, 1.15 MB) Eviatar Bach (UMD)
1:15 - 1:40 p.m. Cost Sensitive Loss Function for Machine Learning, (PPTX, 1.24 MB) Richard Berk (U. Penn)
1:40 - 2:00 p.m. Panel Discussion Panelists: Session Chairs & Speakers
+ Thursday, 17 September 2020
Session 8: Machine Learning Tools and Best Practices, Part 1
Chairs: Sue Haupt (NCAR), Jason Hickey (Google)
Time Title Speaker
12:00 - 12:25 p.m. Which strategies did my neural network learn?, (PPTX, 127.71 MB) Imme Ebert-Uphoff (CIRA)
12:25 - 12:50 p.m. ClimateNet: an expert-labelled open dataset and Deep Learning architecture for enabling high-precision analyses of extreme weather, (PPTX, 121.37 MB) Karthik Kashinath (Lawrence Berkeley National Lab)
12:50 - 1:50 p.m. The AI for Earth System Science Hackathon: Challenge Problems and Lessons Learned, (PPTX, 26.42 MB) David Gagne (NCAR)
1:15 - 1:40 p.m. "AI for Science" program at Argonne NL, (PPTX, 21.65 MB) Ian Foster (ANL)
1:40 - 2:00 p.m. Panel Discussion Panelists: Session Chairs & Speakers
+ Tuesday, 22 September 2020
Session 9: Tutorial 1
Time Title Speaker
12:00 - 2:00 p.m Tutorial on Video and Image Analytics for Marine Environments (VIAME), a Do-It-Yourself AI Toolkit Matt Dawkins, Anthony Hoogs (Kitware)
+ Thursday, 24 September 2020
Session 10: AI/ML for Post-Processing and Data dissemination, Part 2
Chairs: Nikunj Oza (NASA), Allen Huang (UW-Madison)
Time Title Speaker
12:00 - 12:20 p.m The role of machine learning in a seamless modeling approach from weather to climate time scales, (PDF, 13.06 MB) V. Balaji (NOAA/GFDL)
12:20 - 12:40 p.m Elucidating Ecological Complexity: Unsupervised Learning determines global marine eco-provinces, (PDF, 51.24 MB) Maike Sonnewald (NOAA/GFDL)
12:40 - 1:00 p.m. Accelerating Google's Flood Forecasting Initiative with Tensor Processing Units, (PDF, 4.26 MB) Vova Anisimov, Anudhyan Boral, Lily Hu, Sella Nevo, Damien Pierce, Yusef Shafi (Google Research)
1:00 - 1:20 p.m. Predicting global cloud ceiling values with machine learning Mihai Alexe (Spire Global)
1:20 - 1:45 p.m. Panel Discussion Panelists: Session Chairs & Speakers
+ Tuesday, 29 September 2020
Session 11: Poster Session I
Chair: Kevin Garrett (NOAA/NESDIS/STAR)
Time Title Speaker
12:00 - 2:00 p.m Modelling runoff from green roofs using Deep Neural Networks, (PDF, 1.02 MB) Elhadi Abdalla (NTNU)
12:00 - 2:00 p.m Fine-Delineated Tropical Cyclone Detection from Geostationary Satellites and IBTrACS data using Advanced Neural Networks, (PDF, 26.2 MB) Ata Akbari Asanjan (Universities Space Research Association)
12:00 - 2:00 p.m Pixel-wise Deep Sequence learning for wildfire spread prediction in Alberta, Canada, (PDF, 2.08 MB) Xinli Cai (University of Alberta)
12:00 - 2:00 p.m Using deep super-resolution for high resolution precipitation images, (PDF, 5.76 MB) Xinli Cai (University of Alberta)
12:00 - 2:00 p.m Lightning prediction in the Atlantic offshore region, (PDF, 1.01 MB) John Cintineo (University of Wisconsin -- Madison)
12:00 - 2:00 p.m Connecting ocean physical and biogeochemical properties with the spatial distribution of mesopelagic fish abundance, (PDF, 3.85 MB) Donglai Gong (Virginia Institute of Marine Science - William & Mary)
12:00 - 2:00 p.m Using Data Mining Decision Tree Method to Identify the Optimal Fire Detection Thresholds, (PDF, 876 KB) Yingxin Gu (IMSG at NOAA/NESDIS/STAR)
12:00 - 2:00 p.m Application of Advanced Deep Learning Algorithms in Precipitation Estimation from Multiple Sources of Information, (PDF, 11.3 MB) Negin Hayatbini (University of California, Irvine)
12:00 - 2:00 p.m Low Cloud Detection for the GOES ABI using a Random Forest Classifier, (PDF, 15.65 MB) John Haynes (CIRA / Colorado State University)
12:00 - 2:00 p.m 3D Convolutional Deep Learning for Coastal Fog Predictions, (PDF, 1.68 MB) Hamid Kamangir (Texas A&M University-Corpus Christi)
12:00 - 2:00 p.m Verification of a Machine Learning Algorithm in the Prediction of Flash Flooding, (PDF, 2.61 MB) Mark Klein (NWS/Weather Prediction Center)
12:00 - 2:00 p.m Utilizing CNN's to produce Quantitative Precipitation Estimates, (PDF, 2.09 MB) Micheal Simpson (University of Oklahoma)
12:00 - 2:00 p.m Refining aerosol optical depth retrievals over land by constructing the relationship of spectral surface reflectances through deep learning: application to Himawari-8, (PDF, 4.6 MB) Tianning Su (UMD)
+ Thursday, 1 October 2020
Session 12: AI/ML for Models Parameterization, Emulation, and Hybrid Model/AI Construct, Part 1
Chairs: Vladimir Krasnopolsky (NOAA/NCEP/EMC), Kayo Ide (UMD)
Time Title Speaker
12:00 - 12:30 p.m. First steps toward a machine-learning based moist physics parameterization by coarse-graining, (PDF, 18.54 MB) Jeremy McGibbon (Vulcan)
12:30 - 12:50 p.m. Operational In-Field Forecasting using Online Sequential Extreme Learning Machines, (PPTX, 25.75 MB) Carlos Gaitan (Benchmark Labs)
12:50 - 1:10 p.m. Representing Aerosol-Cloud Interactions Using Machine Learning Techniques in Energy Exascale Earth System Model, (PDF, 15.13 MB) Po-Lun Ma (PNNL)
1:10 - 1:30 p.m. Robustness of NN Emulations of Radiative Transfer Parameterizations in a State-of-the-Art GCM, (PPTX, 105.85 MB) Alex Belochitski (IMSG at NOAA/NCEP/EMC)
1:30 - 2:00 p.m. Panel Discussion Panelists: Session Chairs & Speakers
+ Thursday, 15 October 2020
Session 13: AI/ML for Data Fusion/Assimilation, Part 1
Chairs: Peter Jan van Leeuwen (CSU), Steve Penny (NOAA PSD/CIRES)
Time Title Speaker
12:00 - 12:20 p.m. Overview of AI activities at IBM Weather, (PPTX, 45.58 MB) John Williams (IBM Weather)
12:20 - 12:40 p.m. Overview of AI activities at Google, (PPTX, 79.38 MB) Jason Hickey (Google)
12:40 - 1:00 p.m. Integrating AI/ML with Data Assimilation for Prediction Applications at NOAA Stephen Penny (NOAA PSD/CIRES)
1:00 - 1:20 p.m. Automated Analysis of Satellite Imagery in Support of Severe Weather Nowcasting, (PPTX, 195.04 MB) Michael Pavolonis (NOAA/NESDIS/STAR)
1:20 - 1:40 p.m. Keynote Address Dr Neil Jacobs (NOAA Administrator)
1:40 - 2:00 p.m. Panel Discussion Facilitated by Harry Cikanek (NOAA/NESDIS, STAR Director), Panelists: Session Chairs & Speakers
+ Tuesday, 20 October 2020
Session 14: Tutorial 2
Time Title Speaker
12:00 - 2:00 p.m. Learning the Fundamentals of Machine Learning through Forecasting El Niņo Karthik Kashinath, Ankur Mahesh (LBL, ClimateAI)
+ Thursday, 22 October 2020
Session 15: AI for Innovation: New Ways to Exploit Environmental Data, Part 1
Chairs:Christina Kumler (CIRES/NOAA/GSL) , Jeremy McGibbon (Vulcan)
Time Title Speaker
12:00 - 12:30 p.m. Neural Networks for Postprocessing Ensemble Weather Forecasts Sebastian Lerch (KIT)
12:30 - 12:50 p.m. What is "AI-Ready" Open Data? Tyler Christensen (NOAA/NOS/IMO)
12:50 - 1:10 p.m. Precipitation typology with GOES-R observations using insights from the Multi-Radar / Multi-Sensor (MRMS) system Shruti A. Upadhyaya (CIMMS)
1:10 - 1:30 p.m. Improving Passive Acoustic Monitoring Applications to the Endangered Cook Inlet Beluga Whale Ming Zhong (Microsoft)
1:30 - 1:50 p.m. Leveraging NWP for Operational Machine Learning Predictions for Coastal and Environmental Stakeholders Philippe Tissot (Texas A&M University, Corpus Christi)
1:50 - 2:10 p.m. Panel Discussion Panelists: Session Chairs & Speakers
+ Thursday, 29 October 2020
Session 16: AI/ML for Post-Processing and Data dissemination, Part 3
Chairs: John K. Williams (The Weather Company, an IBM Business), Maike Sonnewald (NOAA/GFDL)
Time Title Speaker
12:00 - 12:25 p.m. AI and Clouds at Microsoft Laura Dobbs (Microsoft)
12:25 - 12:50 p.m. Improving CFS Precipitation and 2m Temperature Anomaly Outlooks from Week-1 to Week-6 with Machine Learning Yun Fan (NCEP/CPC)
12:50 - 1:15 p.m. Shifting to AI for Passive Acoustic Monitoring of the Endangered Cook Inlet Beluga Whale Manuel Castellote (NOAA AFSC and UW)
1:15 - 1:40 p.m. Machine Learning Based Whether Precipitation Prediction with NWP model Se-Young Yun (KAIST)
1:40 - 2:00 p.m. Panel Discussion Panelists: Science Committee members
+ Thursday, 5 November 2020
Session 17: AI/ML for Post-Processing and Data dissemination, Part 4
Time Title Speaker
12:00 - 12:40 p.m. NIMS R&D strategy for Alpha Weather Hyesook Lee (KMA)
12:40 - 1:00 p.m. Predicting Algal Bloom Toxicity in Lake Erie: Lessons From Machine Learning Theodore A.D. Slawecki (LimnoTech)
1:00 - 1:30 p.m. Applying satellite observations of tropical cyclone internal structures to rapid intensification forecast with machine learning Hui Su (JPL/Caltech)
1:30 - 1:50 p.m. Panel Discussion. Panelists: Science Committee members
+ Tuesday, 10 November 2020
Session 18: Tutorial 3
Time Title Speaker
2:00 - 12:00 p.m. A Practical Introduction to Deep Learning. Detecting strong storms on the Earth and Sun. David Hall (NVIDIA)
+ Thursday, 12 November 2020
Session 19: AI/ML for Environmental Data, Image, and Signal Processing, Part 2
Time Title Speaker
12:00 - 12:30 p.m. Machine learning for detection of climate extremes: New approaches to uncertainty quantification. William Collins (LBNL, UC Berkeley)
12:30 - 1:00 p.m. Analysis of Multispectral Land Surface Reflectance Time-Series for Detecting and Classifying Land Cover Change Srija Chakraborty (NASA GSFC/ USRA)
1:00 - 1:30 p.m. Super-Resolution of VIIRS-Measured Ocean Color Products Using Deep Convolutional Neural Network Xiaoming Liu (NOAA/NESDIS/STAR)
1:30 - 1:50 p.m. Panel Discussion Panelists: Session Chairs & Speakers
+ Thursday, 19 November 2020
Session 20: Looking Ahead (Using AI for NOAA mission), Part 2
Time Title Speaker
12:00 - 12:30 p.m. Exploring the Frontiers of Deep Learning for Earth and Space David Hall (NVIDIA)
12:30 - 12:50 p.m. Accelerating biodiversity surveys with computer vision: successes and challenges Dan Morris (Microsoft AI for Earth)
12:50 - 1:10 p.m. Counting Belugas from Space: Can we use very high resolution satellite imagery to accurately assess the critically endangered beluga whale population in Cook Inlet, Alaska? Kimberly Goetz (NOAA/NMFS/AFSC/MML)
1:10 - 1:30 p.m. Tackling challenges of Ocean Exploration with Machine Learning and Artificial Intelligence Matt Dornback (NOAA/OAR/OER)
1:30 - 2:00 p.m. Panel Discussion Panelists: Session Chairs & Speakers
+ Tuesday, 1 December 2020
Session 21: Tutorial 4
Time Title Speaker
12:00 - 2:00 p.m. Traditional Machine Learning Pipeline Applied to Storm-Scale Ensemble Data Amanda Burke (OU)
+ Thursday, 3 December 2020
Session 22: AI/ML for Models Parameterization, Emulation, and Hybrid Model/AI Construct, Part 2
Time Title Speaker
12:00 - 12:30 p.m. Using Neural Networks as Model Physics Components in Numerical Weather Prediction Vladimir Krasnopolsky (NOAA/NCEP/EMC)
12:30 - 12:50 p.m. Challenges associated with training a machine-learning based moist physics parameterization by coarse-graining in a model with topography Spencer Clark (Vulcan, Inc./NOAA GFDL)
12:50 - 1:10 p.m. Exploring Various Machine Learning Techniques for Emulating Simplified Physical Parameterizations in the Community Atmosphere Model Garrett Limon (University of Michigan)
1:10 - 1:30 p.m. Stable machine-learning parameterization of subgrid processes for climate modeling at a range of resolutions Janni Yuval (MIT)
1:30 - 2:00 p.m. Panel Discussion Panelists: Session Chairs & Speakers
+ Tuesday, 15 December 2020
Session 23: Poster Session II
Time Title Speaker
12:00 - 1:00 p.m. Cloud classification with unsupervised deep learning Takuya Kurihana (University of Chicago)
12:00 - 2:00 p.m. Statistical-Dynamical Forecasting of North Atlantic Tropical Cyclone Activity on the Subseasonal Time Scales Michael Maier-Gerber (Karlsruhe Institute of Technology (KIT))
12:00 - 2:00 p.m. Using a Multi-Layer Perceptron in Nearshore Wave Prediction Sai Manchikalapati (TJHSST)
12:00 - 2:00 p.m. Unlocking GOES: A Statistical Framework for Quantifying the Evolution of Convective Structure in Tropical Cyclones Trey McNeely (Carnegie Mellon University)
12:00 - 2:00 p.m. Convection Classification in a Future Climate: What did Deep Learning Really Learn? Maria Molina (National Center for Atmospheric Research)
12:00 - 2:00 p.m. MLOps platforms to address the complexities of delivering a ML/AI product Pamela Perez (GAMA-1 Technologies)
12:00 - 2:00 p.m. Preparing for the Future: Development of an Open-Source Workflow for AI driven Acoustic Data Analysis Shannon Rankin (Southwest Fisheries Science Center, NMFS)
12:00 - 2:00 p.m. Addressing AMV height assignment with Deep Learning Thomas Rink (SSEC/CIMSS)
12:00 - 2:00 p.m. Use of and Ideas for Artificial Intelligence at the Naval Research Laboratory for Environmental Applications Benjamin Ruston (U.S. Naval Research Laboratory)
12:00 - 2:00 p.m. Estimation of sea ice concentration in the marginal ice zone using a fully convolutional neural network Andrea Scott (University of Waterloo)
12:00 - 2:00 p.m. Development of machine learning based downscaling methods for wildfire risk Rackhun Son (Gwangju Institute of Science and Technology)
12:00 - 2:00 p.m. Harness the Power of Artificial intelligence and -Omics to Identify Soil Microbial Functions in Climate Change Projection Yang Song (University of Arizona)
12:00 - 2:00 p.m. Short-Term Solar Radiation Forecast using Total Sky-Imager via Transfer Learning Marouane Temimi (Khalifa University)
12:00 - 2:00 p.m. Combining spatio-temporal weather and crop data for network-based inference on the international wheat trade Srishti Vishwakarma (University of Maryland Center for Environmental Science Appalachian Laboratory)
12:00 - 2:00 p.m. Online bias correction of weather models using machine learning Oliver Watt-Meyer (Vulcan, Inc.)
12:00 - 2:00 p.m. Automatic Extraction of Internal Wave Signature from Multiple Satellite Sensors based on Deep Convolutional Neural Networks Shuangshang Zhang (University of Maryland Eastern Shore)
12:00 - 2:00 p.m. Towards Seasonal Forecasting of Fire Weather Using Neural Networks Jessica Zerb (University of Alberta)
12:00 - 2:00 p.m. AI in the US Inland Waterways industry David Sathiaraj (Trabus Technologies)
12:00 - 2:00 p.m. Engaging Freshmen Undergraduates in AI on Cloud Imagery and Model Output Alexandra Jones (UMD)
+ Thursday, 17 December 2020
Session 24: AI/ML for Environmental Data, Image, and Signal Processing, Part 3
Time Title Speaker
12:00 - 12:20 p.m. A Deep Learning Approach for Intelligent Thinning of Satellite Data Sarvesh Garimella (ACME AtronOmatic)
12:20 - 12:40 p.m. Automation-assisted segmentation to expedite 3D coral mapping Hugh Runyan (SIO/UCSD)
12:40 - 1:00 p.m. A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology Mark Veillette (MIT Lincoln Laboratory)
1:00 - 1:20 p.m. Precipitation downscaling using conditional super-resolution based deep neural network. Jiali Wang (Argonne National Laboratory)
1:20 - 1:50 p.m. Panel Discussion Panelists: Session Chairs & Speakers

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