Quantitative Analysis for Meteorological Data TrainingCourse
Location
Physics : 401
Date & Time
August 14, 2023, 10:00 am – 3:00 pm
Description
Quantitative Analysis for Meteorological Data Training Course
August 14th and 15th from 10 am to 3 pm Eastern Time
UMBC, Howard University, and Morgan State University are pleased to announce a comprehensive training course on Quantitative Analysis for Meteorological Data in partnership with the Unidata Program Center and UCAR’s Community Programs.
This course will be in-person (UMBC campus) and online (Zoom) on August 14th and 15th, from 10 am to 3 pm Eastern Time. The aim is to equip participants with essential skills and knowledge to effectively analyze and interpret meteorological data using Python and the powerful MetPy library.
LEARNING GOALS:
1.Utilize built-in MetPy units, constants, and simple calculation tools to enhance data analysis capabilities.
2.Learn to read and explore Earth Systems Science data using Python, enabling efficient data manipulation and visualization.
3.Acquire the ability to complete a QG (Quasi-Geostrophic) analysis using MetPy, enabling insights into large-scale atmospheric dynamics.
4.Develop proficiency in completing an isentropic analysis using MetPy, facilitating the understanding of air mass characteristics.
COURSE DETAILS:
•Date: August 14th and 15th, 2023
•Time: 10 am - 3 pm Eastern Time
•Location: UMBC Campus, Physics Bld., Room 401
•Online: Zoom
•Instructors: UNIDATA, UCAR Community Programs
REGISTRATION:
Spots are limited! You can register until July 31st by completing this online form:
WHAT BACKGROUND IS REQUIRED?
To ensure a productive learning experience, please note that this training course requires basic to mid-level knowledge of Python programming and familiarity with meteorological concepts. To help you judge whether you have the necessary skills, please respond to this:
Anonymous self-reported assessment:
In-person attendees should bring their own laptops with a working Python environment (e.g. Anaconda). However, Unidata will provide a JupyterHub via the Unidata Science Gateway for attendees to use in this workshop (more on this in the registration form).
WHAT ELSE SHOULD I KNOW?
There are no registration fees. For those attending in person, lunch and afternoon coffee breaks will be provided on both Monday and Tuesday. If you are driving to UMBC, we will also provide parking (please send an email to hbarbosa@umbc.edu).
UMBC Physics Building, Room 401
1000 Hilltop Cir, Baltimore, MD 21250
United States
Google maps link: https://goo.gl/maps/8QksbX7VUNY9uuAUA
