Joint Session 58 Python Tools for Weather Analysis and Forecasting

Thursday, 16 January 2020: 10:30 AM-12:00 PM
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 )
Benjamin C. Trabing, Colorado State Univ., Atmospheric Science, Fort Collins, CO and Maxwell Grover, University of Illinois Urbana-Champaign, Department of Atmospheric Sciences, Urbana, IL

This will be a joint session between the 36th Conference on Environmental Information-processing Technologies (36EIPT) and 30th Conference on Weather Analysis and Forecasting (30WAF).  In the past decade Python has rapidly gained popularity in the geosciences, including in weather analysis and forecasting.  Tools such as MetPy, SHARPpy METplus, and Siphon are used regularly by both researchers and forecasters.  Additionally, many researchers and forecasters have developed their own Python tools, and many institutions have developed their own in-house tools.  We welcome abstracts on novel Python tools, or novel uses of pre-existing Python tools, for weather analysis and forecasting.

10:45 AM
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
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
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
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
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

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