WS6:
Snakes on a Satellite: Using Python and Modern Tools for Research and Analysis of Satellite Data Products


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Session ID#: 52005

Session Description:
This hands-on workshop will provide a crash course on using Python and other modern tools to analyze satellite datasets and improve research efficiency. You will learn the basics of the NetCDF and HDF self-describing data formats, display data FAST using Panoply, and perform basic visualization and analysis using Python. Additionally, we will present some of the best practices such as using version control and following clean coding guidelines.

This session will be beneficial for those just getting started with scientific programming and also more experienced programmers who want an overview of modern tools. While exercises will focus on GOES-16 aerosol datasets, the presented tools and techniques can be applied to other satellite datasets across any discipline.

Submitter:  Rebekah Esmaili, University of Maryland College Park, College Park, United States
Presenters:  Rebekah Esmaili, University of Maryland College Park, College Park, United States, Kriti Bhargava, Joint Center for Satellite Data Assimilation, Boulder, United States, Eviatar Bach, Laboratoire de Météorologie Dynamique ENS, Paris, France, Chao Sun, University of Maryland, College Park, Earth System Science Interdisciplinary Center, College Park, United States and Tse-Chun Chen, University of Maryland College Park, College Park, MD, United States
Onsite Contact:  Rebekah Esmaili, University of Maryland College Park, College Park, United States

Cross-Listed:
  • A - Atmospheric Sciences
  • H - Hydrology
  • NH - Natural Hazards
  • OS - Ocean Sciences
Index Terms:

0305 Aerosols and particles [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0360 Radiation: transmission and scattering [ATMOSPHERIC COMPOSITION AND STRUCTURE]
1855 Remote sensing [HYDROLOGY]
4315 Monitoring, forecasting, prediction [NATURAL HAZARDS]

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