BEGIN:VCALENDAR VERSION:2.0 PRODID:-//jEvents 2.0 for Joomla//EN CALSCALE:GREGORIAN METHOD:PUBLISH BEGIN:VEVENT UID:07dc145c2c54b8b0816c80c6bd6b531d CATEGORIES:Field and Summer Schools CREATED:20170809T130210 SUMMARY:Snow Measurement Field School LOCATION:Fraser Experimental Forest\, Fraser\, Colorado\, USA DESCRIPTION:Application Deadline: September 15, 2017 by 5:00 p.m. EDT\nCUAHSI is please d to partner with the University of Washington, U.S. Forest Service, the Un iversity of Alaska Fairbanks, University of Colorado Boulder, and Universit e de Sherbrooke to offer the Snow Measurement Field School, a 3-day field s chool on making and analyzing snow measurements.\nCourse Objectives:\nThis course will give fundamental training to students in making and analyzing s now measurements including depth, density, water equivalence, grain size an d shape, stratigraphy, temperature and hardness. Students completing this c ourse will be able to perform high-quality fieldwork and design studies mak ing snowpack measurements.\nBy the end of the course, students should be ab le to do the following:\n\n - Excavate and prepare a snow pit.\n - Measure profiles of density, snow temperature, grain size, and hardness.\n - Charac terize stratigraphy and layering, snow surface roughness, and snow grain ty pes.\n - Use a Federal snow sampler, an avalanche probe, a Magnaprobe, and other snow measurement equipment.Design their own experiment for sampling s now based on specific scientific objectives\n\nEligibility\nThe course is a imed at undergraduate and graduate students, post-docs, professionals and s enior scientists, modelers and remote sensers that will make snow measureme nts as part of their research, or use snowpack data in their research. Ther e are no required prerequisites, but students should be physically able to spend days outside being active in the snow.\nHow to Apply\nApplications wi ll be accepted until 5:00 p.m. EDT on September 15, 2017 via the following Google Form (http://cuahsi.memberclicks.net/message2/link/0d746cfd-b984-45 ba-97ab-9da13705b52c/8)(http://cuahsi.memberclicks.net/message2/link/0d746cfd-b984-45ba-9 7ab-9da13705b52c/8). Applications will be reviewed by course instructor s and are evaluated based on the following criteria: clarity of learning ta keaways from course; course relevancy to thesis work and/or job; and potent ial to contribute to university and general science community. Applicants w ill be notified of acceptance on October 15, 2017.\nVisit the event website (http://cuahsi.memberclicks.net/message2/link/0d746cfd-b984-45ba-97ab-9da1 3705b52c/9) for additional information on the course and how to apply.\n X-ALT-DESC;FMTTYPE=text/html:

Application Deadline: September 15, 2017 by 5:00 p.m. EDT

CUAHSI is pleased to partner with the University of Washington, U. S. Forest Service, the University of Alaska Fairbanks, University of Colora do Boulder, and Universite de Sherbrooke to offer the Snow Measurement Fiel d School, a 3-day field school on making and analyzing snow measurements.

Course Objectives:

This course will give fundam ental training to students in making and analyzing snow measurements includ ing depth, density, water equivalence, grain size and shape, stratigraphy, temperature and hardness. Students completing this course will be able to p erform high-quality fieldwork and design studies making snowpack measuremen ts.

By the end of the course, students should be able to do the follo wing:

Eligibility

The course is aimed at undergraduate and graduate students, post-docs, professionals and senior scientists, modelers and remote sensers that will make snow measure ments as part of their research, or use snowpack data in their research. Th ere are no required prerequisites, but students should be physically able t o spend days outside being active in the snow.

How to Apply

Applications will be accepted until 5:00 p.m. EDT on Septembe r 15, 2017 via the following Google Form (http://cuahsi.memberclicks.net/message2/link/0d746cfd-b98 4-45ba-97ab-9da13705b52c/8). Applications will be reviewed by course in structors and are evaluated based on the following criteria: clarity of lea rning takeaways from course; course relevancy to thesis work and/or job; an d potential to contribute to university and general science community. Appl icants will be notified of acceptance on October 15, 2017.

Visit the event website for additional information on the course and how to ap ply.

DTSTAMP:20260417T185901Z DTSTART;TZID=UTC;VALUE=DATE:20180109 DTEND;TZID=UTC;VALUE=DATE:20180112 SEQUENCE:0 TRANSP:OPAQUE END:VEVENT END:VCALENDAR