Joint Session 58 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 , Univ. of Washington Bothell ; Hannah Aizenman , City College of New York ; Jingyin Tang , IBM ; Daniel Rothenberg , ClimaCell ; Hannah Aizenman , City College of New York

« Collapse View
- Indicates paper has been withdrawn from meeting
- Indicates paper is an Award Winner

Monday, 13 January 2020

Monday | Tuesday | Wednesday | Thursday | top

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


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

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

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

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


AM Coffee Break (Monday)

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


Joint Session 3
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, NCAR; Scott Collis, Argonne National Laboratory
10:30 AM
J3.1
How Python Can Help us to Create the Physical Data Scientists of the Future (Core Science Keynote)
Amy McGovern, University of Oklahoma, Norman, OK

11:00 AM
J3.2
Cloud Nowcasting on Satellite Images: A Novel Dataset and Experimental Comparisons
Andreas Holm Nielsen, Aarhus University, Aarhus C, Denmark; and A. Wagner, A. Iosifidis, and H. Karstoft

11:15 AM
J3.3
A Deep Neural Network Deriving Cloud Properties from Satellite Remote Sensing
thomas rink, University of Wisconsin - Madison, Madison, WI; and A. Wimmers

11:30 AM
J3.4
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

11:45 AM
J3.5
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

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


Lunch Break (Monday)

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


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

2:15 PM
2.2
FEMA's 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

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

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

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

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

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


Formal Poster Viewing Reception (Mon)

Tuesday, 14 January 2020

Monday | Tuesday | Wednesday | Thursday | top

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


AM Coffee Break (Tuesday)

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


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, Univ. of Washington Bothell
10:30 AM
3.1
MetPy 1.0: An Upgrade from GEMPAK for 21st Century Atmospheric Science Data Analysis and Visualization
Ryan M. May, UCAR/Unidata, Boulder, CO; and Z. S. Bruick and K. H. Goebbert

10:45 AM
3.2
Developing Real-time Datasets for the NOAA Science on a Sphere
Daniel Vignoles, NCEP, College Park, MD

11:00 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

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

11:30 AM
3.5
Dredging Data Discovery with Datashader
Thomas Kallstrom Martin, Vicksburg Catholic School, Vicksburg, MS; U.S. Army Engineer Research and Development Center, Vicksburg, MS; and S. Dent, J. E. Ross, H. Dozier, and A. Strelzoff

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


Lunch Break (Tuesday)

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


Session 4
Interactive Tutorials in Python 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, The Graduate Center, CUNY

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


PM Coffee Break (Tuesday)

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


Session 5
Python in Operations and Research to Operations 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

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

3:30 PM
5.3
Identifying Atmospheric Model Trends and Tendencies using Observations and Analyses
Daniel P Nielsen, FNMOC, Monterey, CA

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

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


Formal Poster Viewing Reception (Tues)

Poster Session 1
Posters I
Location: Hall B1 (Boston Convention and Exhibition Center)
Host: 10th Symposium on Advances in Modeling and Analysis Using Python
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

Remote Sensing Products for Nowcasting at the National Meteorological Service of Argentina: Research to Operations Using Open Source Tools
Martin Rugna, National Meteorological Service, Buenos Aires, Argentina; and M. Zeitune, P. Lohigorry, H. Ciminari, L. Vidal, J. J. Ruiz, and A. Arruti

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

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

Wednesday, 15 January 2020

Monday | Tuesday | Wednesday | Thursday | top

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


Joint Session 30
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, NOAA/NWS; Timothy S. Sliwinski, Texas Tech Univ.; Scott Collis, Argonne National Laboratory; Margaret Caulfield, NOAA/NESDIS (Retired)
8:30 AM
J30.1
Aviation Weather – 40 years of Trying to Enhance Decision Support
Jeffrey S. Tongue, Suffolk County Community College, Brentwood, NY

8:45 AM
J30.2
Evolution of NWS Forecaster Environmental Information Processing Systems
Gregg Grosshans, NOAA, Norman, OK

9:00 AM
J30.3
Humans Over The Forecast Loop At The Weather Company, An IBM Business
James Lidrbauch, The Weather Company, An IBM Business, Andover, MA

9:15 AM
J30.4
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/GSD, Boulder, CO; and Y. Guo, G. J. Stumpf, T. C. Meyer, D. M. Kingfield, A. V. Bates, D. Nietfeld, and T. L. Hansen

9:30 AM
J30.5
"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

9:45 AM
J30.6
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

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


AM Coffee Break (Wednesday)

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


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)
Ryan P. Abernathey, Columbia Univ., Palisades, NY

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

11:15 AM
6.3
Using Jupyter Notebook Server and Python to Teach Undergraduate Climate Data Analysis
Karen M. Shell, Oregon State Univ., Corvallis, OR

11:30 AM
6.4
MOS Parse: Library for Converting MOS Datasets to Machine Learning Formats
Hannah Aizenman, The Graduate Center, CUNY, Rego Park, NY; and O. Lucero, T. Schiminovich, and M. Grossberg

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


Lunch Break (Wednesday)

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


Session 7
Interactive Tutorials in Python 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, The Graduate Center, CUNY; Ryan M. May, UCAR

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


PM Coffee Break (Wednesday)

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


Session 8
Python in Operations and Research to Operations 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

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

3:30 PM
8.3
How Python Enables Rapid R2O at The Weather Company, an IBM Business
John Wong, The Weather Company, an IBM Business, Andover, MA

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

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


Formal Poster Viewing Reception (Wed)

Thursday, 16 January 2020

Monday | Tuesday | Wednesday | Thursday | top

10:30 AM-12:00 PM: Thursday, 16 January 2020


Joint Session 58
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, University of Illinois Urbana-Champaign
10:30 AM
J58.1
Evaluation of an Open-Source Radar-Based Nowcasting Tool in a Tropical Environment
Mariana O. Scott, i3, Huntsville, AL

10:45 AM
J58.2
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

11:00 AM
J58.3
Leveraging Predictions from Noaa's Oceanographic Forecast Models to Increase Environmental Variability Awareness in Ocean Mapping
Giuseppe Masetti, University of New Hampshire, Durham, NH; and L. A. Mayer, P. D. Johnson, and J. G. W. Kelley

11:15 AM
J58.4
Distributed Workflow for WRF Processes and Visualization using WRF-Python and Dask
Robert C Fritzen, Northern Illinois University, DeKalb, IL; and V. A. Gensini, S. Collis, and R. Jackson

11:30 AM
J58.5
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

11:45 AM
J58.6
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

« Collapse View