There is a lack of tools and trained scientists who are able to use open source data tools to use, understand, validate, and apply retrievals to spaceborne radar measurements. In this course we will describe spaceborne radar hardware, uncertainties in the measurements, potential applications, and use open source software tools to access, process, and retrieve geophysical information (microphysical, cloud structure, precipitation climatologies) and uncertainties from spaceborne radar measurements at W, Ku, and Ka bands.
The objective of this course is to familiarize students with data from current and future spaceborne radar measurements from TRMM, CloudSat, GPM, and future missions such as EarthCare. In this course, we will describe spaceborne radar hardware, uncertainties in the measurements, potential applications, and use open source software tools to access, process, and retrieve geophysical information (microphysical retrievals, quantitative measurements of cloud structure, precipitation rate) and assess uncertainties from spaceborne radar measurements at W, Ku, and Ka bands. Participants will bring their own computers for a hands-on open source tutorial. Open-source cloud-based virtual machines, with python code contained within jupyter notebooks, will be used for lab practical exercises.
The outcomes for this course include:
• Understanding of the measurements provided by spaceborne radar retrievals and their uncertainties
• Understanding of the theory of spaceborne radar measurements and geophysical retrievals based upon the measurements
• Use of open source software to read, process, and visualize spaceborne radar measurements
• Students will be required to do some, but not a lot of coding during the project, most code will be provided as a reference. However, students will be exposed to state of the art techniques for analyzing spaceborne radar data.
The course format consists of lectures and 3 interactive laboratory assignments that can be completed any time during or following the conference.
Instructors for this course:
Prof. Steve Nesbitt, University of Illinois at Urbana-Champaign
Prof. Mark Kulie, Michigan Technical University
A box lunch will be provided during the short course.
Internet access will be available or required for this course. Please bring a laptop computer to the course for online exercises.
For more information please contact Steve Nesbitt, University of Illinois at Urbana-Champaign, Department of Atmospheric Sciences, 1301 West Green Street, Urbana, IL 61821 (tel: 217-244-3740; email: firstname.lastname@example.org