Climate & Weather Extremes Tutorial

C3WE Logo and group photo

Tutorial Overview
The Capacity Center for Climate and Weather Extremes (C3WE/MMM) is hosting a Climate and Weather Extremes Tutorial designed for students, researchers, and professionals who are interested in climate and weather extremes. The Tutorial will cover approaches to analyzing and modeling extremes, as well as methods to understand and characterize uncertainty. The Tutorial will also feature a clinic focused on workflows for accelerated science discoveries and overcoming barriers to understanding and predicting weather and climate extremes.

The Tutorial consists of both lectures and hands-on laboratory exercises, which will be taught by a team of NCAR climate scientists and members of the NSF Earthcube ASSET (Accelerating Scientific WorkflowS using Earthcube Technologies) project.

The Climate and Weather Extremes Tutorial will be offered over a 3-day period from Wednesday August 1– Friday August 3, 2018 at the NCAR Foothills Laboratory, Boulder, Colorado. 

Topics include:

  • Extremes under climate change: State of the science
  • Approaches to characterizing and predicting extremes
    • Dynamical modeling frameworks for extremes
    • Statistical modeling of extreme values and characteristics
  • Evaluating and validating extremes in climate models
  • Understanding sources of uncertainty
  • Challenges and advances in convective extremes
  • Improving workflows to accelerate science & discovery

Requirements
Participants should have basic knowledge of atmospheric science, some experience with accessing and manipulating data using common programming languages (e.g., NCL, R, etc), and working in a Unix computer environment. All participants are strongly encouraged to get familiar with Unix/Linux working environment, as working through directories, editing text files and running scripts are essential skills for a successful tutorial experience. One can easily find unix tutorial for beginners online for this purpose. The tutorial will not include the running of NCAR’s  Weather Research and Forecasting (WRF) model, but a basic understanding of WRF or a regional climate model would be beneficial.

For the laboratory components of the Tutorial, students will use free programing languages such as the NCAR Command Language (NCL), and the statistical software package R. Although classroom computers will be available, participants are encouraged to use their own laptops; if you don't already have the free statistical software R installed, you can find it here: R Studio is a convenient front-end for R, which you can find here.

Participants are encouraged to get familiar with this software before attending. Some introductory tutorials are available on both the r-project and R Studio websites. Labs will center around data available at NCAR, however participants are welcome to bring their own data to apply the techniques learned during the labs.

Available Spaces
Due to the constraints of physical space and computers, we can only accommodate a maximum of 30 participants for the Regional Climate tutorial. Register early, as registration always exceeds capacity! Once all seats are filled, a wait list will be established and registrant status will remain as pending unless a seat becomes available.

Registration and Payment
See the tabs at the top of this website. 

Cancellation Policy  
You can cancel your registration at any time by going into the website registration page and clicking on cancel. However, if you need to cancel your attendance at the Regional Climate Tutorial, please be aware of our policy: We will refund your registration less $25.00 to cover administrative fees until until 11 July 2018.

Instructor Bios  
Dr. Cindy Bruyère is the C3WE Director. Her background is meteorology and Environmental Management. She has a strong dynamical modeling background and was a WRF model developer and instructor before joining C3WE.

Mike Daniels specializes in observational data cyberinfrastructure, both in real-time and retrospective modes. He is the PI and Co-PI of several projects sponsored under NSF's EarthCube initiative.

Dr. James Done is research lead for C3WE. He brings physical science expertise to collaborations with economists and the reinsurance industry to understand the drivers of weather and climate impacts.

Dr. Yolanda Gil is Research Professor of Computer Science and Spatial Sciences at the University of Southern California.  Her research focuses on artificial intelligence techniques to accelerate scientific data analysis and discovery.
 

Abby Jaye specializes in regional climate modeling and data manipulation and visualization. She will be giving the "Evaluating and validating extremes in climate models" session and lab.

Dr. Andreas Prein is a Project Scientist in C3WE whose research focuses on the importance of mesoscale processes in the climate system and their impacts on society. He will give a talk on advances and challenges in convective extremes.

Dr. Erin Towler is a Project Scientist in C3WE whose research goal is to make regional climate risks relevant to local water and natural resources management. She will lead the statistical modeling frameworks for extremes session.

Dr. Mari Tye’s focus is on extreme value statistics and translating cutting edge-science into useable information for designers and decision makers.