Open Science in the Rockies: Working With ARM Data from the Surface Atmosphere Integrated Field Laboratory

Sponsored By

Open Science in the Rockies: Working With ARM Measurements from the Surface Atmosphere Integrated Field Laboratory. The water resources of the western United States are changing rapidly, and how the atmosphere respond. The ARM Mobile Facility (AMF) is nearing the end of a nearly two year deployment to Crested Butte, Colorado. The Surface Atmosphere Integrated Field Laboratory (SAIL) deployment involved a myriad of measurements documenting the earth system processes, extending from stratosphere through the bedrock, which control water resources in the West. This short course, aimed at a broad audience, will:

  • Introduce students to the unique capabilities of the ARM program and the community of atmospheric scientists that use and produce ARM data.
  • Educate attendees on ARM’s measurement suite.
  • Highlight the underlying science behind SAIL and the East River watershed.
  • Show how to find and access ARM measurements.
  • Using a number of open source tools, train attendees how to analyze ARM’s open data in the Python programming language.

January 8, 2023 at 8:00 AM - 3:45 PM Mountain Time (In Person) - Colorado Convention Center: Room 505

Registration close date: December 29, 2022
Participant cap: None

The Atmospheric Radiation Measurement User Facility is providing support of the “Open Science in the Rockies: Working With ARM Data from the Surface Atmosphere Integrated Field Laboratory” short course by covering the registration fee for a limited number of attendees. Those interested in attending this short course should fill out the following form.

Application Deadline – November 15th
Applicants Notified – November 20th
After November 20th, applications will be reviewed on a rolling basis as funds remain available.

REGISTRATION RATES

Cancellation Policies

Accessibility, Safety, and Inclusivity at the Meeting

Course Description:

Participants will leave the short course with:

  • A complete knowledge of ARM program capabilities and where to find help.
  • A guide to what ARM is measuring and the science possibilities with those data.
  • A grab bag of analysis ready cookbooks they can adapt for their research needs.

VIEW AGENDA

If you have questions regarding the course, please contact Daniel Feldman, the course organizer.

Instructors:

Daniel Feldman
Daniel Feldman

Lawrence Berkeley National Laboratory

Scott Collis
Scott Collis

Argonne National Laboratory

Maxwell Grover
Maxwell Grover

Argonne National Laboratory

Monica Ihli
Monica Ihli

Oak Ridge National Laboratory