Joint Session 68 10th Symposium on Advances in Modeling and Analysis Using Python

Program Chair: Scott Collis , Argonne National Laboratory
Reviewers: Ryan M. May , UCAR ; Sheri Mickelson , NCAR ; Johnny Lin , University of Washington Bothell ; Jingyin Tang , IBM ; Daniel Rothenberg , ClimaCell ; Hannah Aizenman , City College of New York ; Hannah Aizenman , City College of New York

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Monday, 13 January 2020

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9:00 AM-10:00 AM: Monday, 13 January 2020

Recording files available
Session 1
Working with Large Datasets Using Python
Location: 157AB (Boston Convention and Exhibition Center)
Host: 10th Symposium on Advances in Modeling and Analysis Using Python
Chair: Scott Collis, Argonne National Laboratory
9:00 AM
1.1
Opening Remarks and History of the Symposium
Scott Collis, Argonne National Laboratory, Argonne, IL
Recorded Presentation

9:15 AM
1.2
The Big Climate Data Pipeline (BCDP): An Open-Source Python Library to Analyze High-Resolution Climate Models and Satellite Observations in Amazon Cloud and NASA’s High-Performance Computing Environments
Alexander Goodman, Jet Propulsion Laboratory, Pasadena, CA; and H. Lee and K. Gorski
Recorded Presentation

9:30 AM
1.3
Storm-centric Analysis of Tropical Cyclones in Python
Kimberly M. Wood, Mississippi State Univ., Mississippi State, MS
Recorded Presentation

10:00 AM-10:30 AM: Monday, 13 January 2020


AM Coffee Break (Monday)
Location: Boston Convention and Exhibition Center

10:30 AM-12:00 PM: Monday, 13 January 2020

Recording files available
Joint Session 2
How Artificial Intelligence at Scale Will Link Weather and Climate Data to Society
Location: 157AB (Boston Convention and Exhibition Center)
Hosts: (Joint between the 10th Symposium on Advances in Modeling and Analysis Using Python; the 19th Conference on Artificial Intelligence for Environmental Science; the 36th Conference on Environmental Information Processing Technologies; and the Sixth Symposium on High Performance Computing for Weather, Water, and Climate )
Cochairs: David John Gagne II, Univ. of Oklahoma; Scott Collis, Argonne National Laboratory
10:30 AM
J2.1
How Python Can Help Us to Create the Physical Data Scientists of the Future (Core Science Keynote)
Amy McGovern, Univ. of Oklahoma, Norman, OK
Recorded Presentation

11:00 AM
J2.2
Cloud Nowcasting on Satellite Images: A Novel Dataset and Experimental Comparisons
Andreas Holm Nielsen, Aarhus Univ., Aarhus, Denmark; and A. Wagner, A. Iosifidis, and H. Karstoft
Recorded Presentation

11:15 AM
J2.4
Geocaching with Geohashing—Scaling Weather APIs with Python and Spark for Big Data Machine Learning
Alexander Kalmikov, QuantumBlack, a McKinsey Company, Cambridge, MA; and Y. Zhu, L. Zhang, and J. Annor
Recorded Presentation
Recorded Presentation
Recorded Presentation Manuscript (13.3 MB)

Handout (13.3 MB)

11:30 AM
J2.5
Frameworks for Gaining Insight and Machine Learning on Large Climate and Weather Datasets
Robert Jackson, Argonne National Laboratory, Argonne, IL; and S. Collis, I. Foster, B. Blaiszik, and S. Fiore
Recorded Presentation

J2.3
A Deep Neural Network Deriving Cloud Properties from Satellite Remote Sensing

12:00 PM-2:00 PM: Monday, 13 January 2020


Lunch Break (Monday)

2:00 PM-4:00 PM: Monday, 13 January 2020

Recording files available
Session 2
New Python Tools in the Atmospheric and Oceanographic Sciences
Location: 157AB (Boston Convention and Exhibition Center)
Host: 10th Symposium on Advances in Modeling and Analysis Using Python
Chair: Ryan M. May, UCAR
2:00 PM
2.1
GeoCAT: The NCL Pivot to Python
John clyne, NCAR, Boulder, CO
Recorded Presentation

2:15 PM
2.2
A Tornado Damage Assessment Model and Lessons Learned from the 2019 Lee County, Alabama, EF4 Tornado
Madeline Jones, New Light Technologies, Inc., Washington, DC; and R. E. Kollmeyer
Recorded Presentation

2:30 PM
2.3
Remote Access of National Hurricane Center Storm Tracks and Storm Prediction Center Storm Reports with Siphon
Aodhan Sweeney, UCAR, Boulder, CO; and S. C. Arms, R. M. May, and Z. Bruick

2:45 PM
2.4
Atmospheric Data Community Toolkit (ACT): A Python Library for Working with Atmospheric Data
Adam Theisen, Argonne National Laboratory, Lemont, IL; and S. Collis, R. Jackson, Z. Sherman, N. L. Hickmon, K. E. Kehoe, C. Godine, A. J. Sockol, A. King, and M. T. Giansiracusa
Recorded Presentation

3:00 PM
2.5
The Supercell Polarimetric Observation Research Kit (SPORK): An Automated, Python-Based Algorithm for Examining Supercell Dual-Pol Signatures
Matthew B. Wilson, Univ. of Nebraska, Lincoln, NE; and N. R. Humrich and M. S. Van Den Broeke
Recorded Presentation

3:15 PM
2.6
Use of Python to Streamline and Refactor the WRF-Hydro Forcing Engine for Community Use
Logan Karsten, NCAR, Boulder, CO; and D. Gochis, Y. Zhang, and R. Cabell
Recorded Presentation

3:30 PM
2.7
CLIMLAB 2.0: Lessons Learned and Future Roadmap for Interactive, Process-Oriented Climate Modeling
Brian E. J. Rose, Univ. at Albany, SUNY, Albany, NY
Recorded Presentation

Handout (7.9 MB)

4:00 PM-6:00 PM: Monday, 13 January 2020


Formal Poster Viewing Reception (Mon)
Location: Hall B (Boston Convention and Exhibition Center)

Tuesday, 14 January 2020

Monday | Tuesday | Wednesday | Thursday | top

10:00 AM-10:30 AM: Tuesday, 14 January 2020


AM Coffee Break (Tuesday)
Location: Boston Convention and Exhibition Center

10:30 AM-12:00 PM: Tuesday, 14 January 2020

Recording files available
Session 3
Visualization and Data Discovery Using Python.
Location: 157AB (Boston Convention and Exhibition Center)
Host: 10th Symposium on Advances in Modeling and Analysis Using Python
Chair: Johnny Lin, University of Washington Bothell
10:30 AM
3.1
MetPy 1.0: An Upgrade from GEMPAK for Twenty-First Century Atmospheric Science Data Analysis and Visualization
Ryan M. May, UCAR/Unidata, Boulder, CO; and Z. S. Bruick and K. H. Goebbert
Recorded Presentation

3.2
Developing Real-Time Datasets for the NOAA Science on a Sphere

10:45 AM
3.3
Design and Implementation of the Model Analysis Platform for Energy Systems
Michael Ewens Kelleher, ORNL, Oak Ridge, TN; and M. Ashfaq and K. J. Evans
Recorded Presentation

11:15 AM
3.4
Data Exploration with PyFerret
Eugene F. Burger, PMEL, Seattle, CA; and K. M. Smith and A. Manke
Recorded Presentation

3.5
Dredging Data Discovery with Datashader

12:00 PM-1:30 PM: Tuesday, 14 January 2020


Lunch Break (Tuesday)

1:30 PM-2:30 PM: Tuesday, 14 January 2020


Lecture 4
Interactive Tutorials in Python. Part I: A Taste of Machine Learning and Deep Learning with Python
Location: 157AB (Boston Convention and Exhibition Center)
Host: 10th Symposium on Advances in Modeling and Analysis Using Python
Lecturers: Jingyin Tang, IBM; Hannah Aizenman, Graduate Center, CUNY

2:30 PM-3:00 PM: Tuesday, 14 January 2020


PM Coffee Break (Tuesday)
Location: Boston Convention and Exhibition Center

3:00 PM-4:00 PM: Tuesday, 14 January 2020

Recording files available
Session 5
Python in Operations and Research to Operations. Part I
Location: 157AB (Boston Convention and Exhibition Center)
Host: 10th Symposium on Advances in Modeling and Analysis Using Python
Chair: Jingyin Tang, IBM
3:00 PM
5.1
From NCL to Python: The Triumphs (and Struggles) of Upgrading a Tropical Monitoring Page for Air Force Operations.
Jared Rennie, North Carolina Institute for Climate Studies, Asheville, NC; and C. J. Schreck III, K. F. Havener, J. W. Budai, J. D. Jackson, and R. B. Kiess
Recorded Presentation

3:15 PM
5.2
CROW: Python-based Configuration Toolbox for Operational and Development Workflows
Jian Kuang, IMSG, College Park, MD; and K. L. Friedman, S. Trahan, T. McGuinness, K. R. Hammett, M. D. Iredell, and A. Chawla
Recorded Presentation Manuscript (614.2 kB)

3:30 PM
5.3
Identifying Atmospheric Model Trends and Tendencies Using Observations and Analyses
Daniel P Nielsen, FNMOC, Monterey, CA; and M. Hutchins and R. C. Lee
Recorded Presentation

Handout (2.1 MB)

3:45 PM
5.4
Python-Based Workflow Management of NCEP Global Ensemble Forecast System
Xianwu Xue, SRG at NOAA/NWS/NCEP/EMC, College Park, MD; and D. Hou, W. Kolczynski Jr., Y. Zhu, B. Fu, X. Zhou, E. Sinsky, W. Li, H. Guan, and B. Cui

Handout (1.2 MB)

4:00 PM-6:00 PM: Tuesday, 14 January 2020


Formal Poster Viewing Reception (Tues)
Location: Hall B (Boston Convention and Exhibition Center)

Poster Session 1
Posters I
Location: Hall B (Boston Convention and Exhibition Center)
Host: 10th Symposium on Advances in Modeling and Analysis Using Python
800
A One-Stop Shop for Atmospheric Science Python: The Unidata Python Training Site
Zachary S. Bruick, UCAR, Boulder, CO; and R. M. May and K. H. Goebbert

801
Remote Sensing Products for Nowcasting at the National Meteorological Service of Argentina: Research to Operations Using Open Source Tools

802
Evaluation, Verification, and Deployment of Real-Time Experimental Tropical Cyclone Applications
Alan Brammer, CIRA/Colorado State Univ., Fort Collins, CO; and K. D. Musgrave and M. DeMaria

803
Identifying and Tracking Cloud Clusters from Satellite Imagery Using Python
Shawn M Cheeks, Princeton Univ., Princeton, NJ

Wednesday, 15 January 2020

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8:30 AM-10:00 AM: Wednesday, 15 January 2020

Recording files available
Joint Session 32
Common Technology Review—Past, Present, and Future
Location: 157C (Boston Convention and Exhibition Center)
Hosts: (Joint between the 36th Conference on Environmental Information Processing Technologies; the 10th Symposium on Advances in Modeling and Analysis Using Python; the 10th Conference on Transition of Research to Operations; and the Sixth Symposium on High Performance Computing for Weather, Water, and Climate )
Cochairs: Nazila Merati, Merati and Associates; Scott Jacobs, NWS; Timothy S. Sliwinski, Group NIRE; Scott Collis, Argonne National Laboratory; Margaret Caulfield, NOAA/NESDIS (Retired)
8:30 AM
J32.1
Aviation Weather—40 Years of Trying to Enhance Decision Support
Jeffrey S. Tongue, Suffolk County Community College, Brentwood, NY
Recorded Presentation

8:45 AM
J32.2
Evolution of NWS Forecaster Environmental Information Processing Systems
Gregg Grosshans, NOAA, Norman, OK
Recorded Presentation

9:00 AM
J32.3
Humans over the Forecast Loop at The Weather Company, an IBM Business
James Lidrbauch, The Weather Company, Andover, MA
Recorded Presentation

9:15 AM
J32.4
Implementing Facets: Presenting the Most Recent Updates and Testing Results for Hazard Services-PHI
Kevin L. Manross, CIRA/Colorado State Univ. and NOAA/OAR/ESRL/GSL, Boulder, CO; and Y. Guo, G. J. Stumpf, T. C. Meyer, D. M. Kingfield, A. V. Bates, D. Nietfeld, and T. L. Hansen
Recorded Presentation

9:30 AM
J32.5
Development of a Display Tool to Quality Control Weather Balloon Data for Space Launch Vehicles Using Python
Jessica Kaitlyn Headley, Jacobs Space Exploration Group, MSFC, AL; and C. M. Sayre Jr. and J. C. Brenton
Recorded Presentation Manuscript (848.5 kB)

Handout (1.2 MB)

9:45 AM
J32.6
ESPDS: Over 1 Billion Served—Three Years of Operations for the Environmental Satellite Processing and Distribution System
George Wilkinson, Solers, Greenbelt, MD; and R. Baker, D. M. Beall, R. Niemann, S. Walsh, M. Leach, T. Kowalski, and S. Causey
Recorded Presentation

10:00 AM-10:30 AM: Wednesday, 15 January 2020


AM Coffee Break (Wednesday)
Location: Boston Convention and Exhibition Center

10:30 AM-12:00 PM: Wednesday, 15 January 2020

Recording files available
Session 6
Teaching, Training, Outreach, and Building Communities around Python
Location: 157AB (Boston Convention and Exhibition Center)
Host: 10th Symposium on Advances in Modeling and Analysis Using Python
Chair: Scott Collis, Argonne National Laboratory
10:30 AM
6.1
What Can Science Learn from Open Source? (Invited Presentation) (Core Science Keynote)
Ryan P. Abernathey, Columbia Univ., Palisades, NY
Recorded Presentation

11:00 AM
6.2
Data Carpentry for Atmosphere and Ocean Scientists
Damien Irving, Univ. of New South Wales, Sydney, Australia
Recorded Presentation

6.3
Using Jupyter Notebook Server and Python to Teach Undergraduate Climate Data Analysis

11:15 AM
6.4
MOS Parse: Library for Converting MOS Datasets to Machine Learning Formats
Hannah Aizenman, The Graduate Center (CUNY) & The City College of New York (CUNY), New York, NY; and O. Lucero, T. Schiminovich, and M. Grossberg
Recorded Presentation

12:00 PM-1:30 PM: Wednesday, 15 January 2020


Lunch Break (Wednesday)

1:30 PM-2:30 PM: Wednesday, 15 January 2020


Lecture 7
Interactive Tutorials in Python. Part II: Visualization and Data in the Pangeo Ecosystem
Location: 157AB (Boston Convention and Exhibition Center)
Host: 10th Symposium on Advances in Modeling and Analysis Using Python
Lecturers: Hannah Aizenman, Graduate Center, CUNY; Ryan M. May, UCAR

2:30 PM-3:00 PM: Wednesday, 15 January 2020


PM Coffee Break (Wednesday)
Location: Boston Convention and Exhibition Center

3:00 PM-4:00 PM: Wednesday, 15 January 2020

Recording files available
Session 8
Python in Operations and Research to Operations. Part II
Location: 157AB (Boston Convention and Exhibition Center)
Host: 10th Symposium on Advances in Modeling and Analysis Using Python
Chair: Daniel Rothenberg, ClimaCell
3:00 PM
8.1
Python in the Community Satellite Processing Package
G. Cureton, Univ. of Wisconsin, Madison, WI
Recorded Presentation

3:15 PM
8.2
Operational Drought Data Processing Techniques in Support of Drought.Gov
S. Ansari, NOAA/NESDIS/National Centers for Environmental Information, Asheville, NC; and R. G. Bilotta
Recorded Presentation

3:30 PM
8.3
How Python Enables Rapid R2O at The Weather Company
John Wong, The Weather Company, Andover, MA
Recorded Presentation

3:45 PM
8.4
Transitioning the GFS Verification to Using METplus
Mallory P. Row, I.M. Systems Group at NOAA/NWS/NCEP/EMC, College Park, MD; and J. J. Levit
Recorded Presentation

4:00 PM-6:00 PM: Wednesday, 15 January 2020


Formal Poster Viewing Reception (Wed)
Location: Hall B (Boston Convention and Exhibition Center)

6:30 PM-9:00 PM: Wednesday, 15 January 2020


Centennial Celebration (Centennial)
Location: Ballroom East (Boston Convention and Exhibition Center)

Thursday, 16 January 2020

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1:30 PM-3:00 PM: Thursday, 16 January 2020

Recording files available
Joint Session 68
Python Tools for Weather Analysis and Forecasting
Location: 258C (Boston Convention and Exhibition Center)
Hosts: (Joint between the 30th Conference on Weather Analysis and Forecasting (WAF)/26th Conference on Numerical Weather Prediction (NWP); the 10th Symposium on Advances in Modeling and Analysis Using Python; and the 36th Conference on Environmental Information Processing Technologies )
Cochairs: Benjamin C. Trabing, Colorado State Univ.; Maxwell Grover, Valparaiso University
1:30 PM
J68.1
Evaluation of an Open-Source Radar-Based Nowcasting Tool in a Tropical Environment
Brandon Osborne, i3, Huntsville, AL

1:45 PM
J68.2
Visualizations to Facilitate Regression for CAMPS
Alison L. Reynolds, College of William and Mary, Williamsburg, VA; and E. Schlie, D. E. Rudack, S. R. Olson, and E. Engle
Recorded Presentation

2:00 PM
J68.3
Leveraging Predictions from NOAA's Oceanographic Forecast Models to Increase Environmental Variability Awareness in Ocean Mapping
Giuseppe Masetti, Univ. of New Hampshire, Durham, NH; and L. A. Mayer, P. D. Johnson, and J. G. W. Kelley

2:15 PM
J68.4
Distributed Workflow for WRF Processes and Visualization Using WRF-Python and Dask
Robert C. Fritzen, Northern Illinois Univ., DeKalb, IL; and V. A. Gensini, S. Collis, and R. Jackson
Recorded Presentation

2:30 PM
J68.5
Bringing WRF into MetPy (and the Rest of the Atmospheric Sciences Python Ecosystem)
Jonathan E. Thielen, Iowa State Univ., Ames, IA; and R. M. May
Recorded Presentation

2:45 PM
J68.6
Reproducible Forecast Evaluation with the Solar Forecast Arbiter
Antonio T. Lorenzo, The Univ. of Arizona, Tucson, AZ; and W. F. Holmgren, C. W. Hansen, A. Tuohy, J. Sharp, L. J. Boeman, A. Wigington, D. Larson, Q. Wang, and A. Golnas
Recorded Presentation

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