A friendly reminder of the upcoming deadlines for the following CUAHSI workshops:
* July 31st: Registration Deadline for Training Workshop: Using In-Situ Water Quality Sensors - Lagrangian and Eulerian Applications * August 15th: Early Bird Registration Deadline for Training Workshop: The Community WRF-Hydro Modeling System * September 15th: Application Deadline for Snow Measurement Field School ________________________________ A very limited number of student travel grants are available on a first come, first served basis to help defray the cost of travel to the course. Contact Elizabeth Tran at [email protected]<mailto:[email protected]> for more information. ________________________________ Training Workshop: Using In-Situ Water Quality Sensors - Lagrangian and Eulerian Applications November 7 - 9, 2017 || Gainesville, FL Regular Registration Deadline: July 31st CUAHSI and the University of Florida are offering a 3-day training workshop on using in-situ water quality sensors. The emergence of reliable field deployable sensors capable of water quality measurements at temporal resolutions commensurate with hydroclimatic and ecological drivers enables a new class of environmental measurements and inferences. This course is intended for students, post-doctoral researchers and junior faculty; all researchers interested in exploring these emerging opportunities are welcome. The objective of this course is to provide guidance and support for deployment of a wide variety of off-the-shelf in-situ water quality sensors, and quality assurance and interpretation of the resulting data. While the course will explore a broad array of sensor-derived measurements and applications, our particular focus for this workshop will be on the collection and interpretation of Lagrangian measurements (i.e., following a parcel of water as it moves). Prerequisites: Participants must bring a laptop with the Microsoft Office Suite installed - minimally Excel. Participants must be aware of the field components of this workshop. There will be lectures and data collection in the field. [Students will collect water data from kayaks.] The course will be held at the University of Florida<http://www.ufl.edu/> in Gainesville, FL. Included in the registration fee are course tuition, facilities costs, catered lunches and light refreshments. Visit the event website<http://www.cvent.com/d/0vqb33> for more information and to register<http://www.cvent.com/d/0vqb33/4W>. ________________________________ ________________________________ Training Workshop: The Community WRF-Hydro Modeling System October 17 - 19, 2017 || Boulder, CO Early Bird Registration Deadline: August 15th Regular Registration Deadline: August 31st This training workshop will provide graduate students and early career scientists with formal instruction on the structure and application of the WRF-Hydro system and will offer hands-on experience in setting up and running the system for several different research and prediction applications. Prerequisites: Graduate students, post-docs, and professionals working in hydrology and/or the atmospheric sciences are invited to participate. Prior hydrologic and/or atmospheric modeling experience is advised. Unix/Linux command line operation required. Specific topics to be covered during the workshop include: * Conceptualization and structure of the WRF-Hydro system * Description of physics components options within WRF-Hydro v5.0 * Model porting and compilation and overview of parallel computing with WRF-Hydro * Model input data preparation * Model configuration and execution * Visualization and post-processing of model output * Case studies (participants learn how to use the system in both one-way uncoupled and two-way coupled modes with the community WRF atmospheric model) * Setup and use of the open source Rwrfhydro hydrologic model evaluation package * Open discussion on class participant interests and applications Class participants will receive in-depth training via lectures and hands-on activities on the implementation and use of the WRF-Hydro system where all hands-on tutorial activities will be conducted in a formal computer laboratory located at NCAR. The course will be held at NCAR<http://ncar.ucar.edu/> in Boulder, CO. Included in the registration fee are course tuition, facilities costs, catered lunches and light refreshments, and shuttle transportation from the hotel to/from campus. Visit the event website<http://www.cvent.com/d/q5qvzf> for more information and to register<http://www.cvent.com/d/q5qvzf/4W>. ________________________________ ________________________________ Snow Measurement Field School January 9 - 11, 2018 || Fraser, CO 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 Colorado Boulder, and Universite de Sherbrooke to offer the Snow Measurement Field School, a 3-day field school on making and analyzing snow measurements. Course Objectives: This course will give fundamental training to students in making and analyzing snow measurements including depth, density, water equivalence, grain size and shape, stratigraphy, temperature and hardness. Students completing this course will be able to perform high-quality fieldwork and design studies making snowpack measurements. By the end of the course, students should be able to do the following: * Excavate and prepare a snow pit. * Measure profiles of density, snow temperature, grain size, and hardness. * Characterize stratigraphy and layering, snow surface roughness, and snow grain types. * Use a Federal snow sampler, an avalanche probe, a Magnaprobe, and other snow measurement equipment. * Design their own experiment for sampling snow based on specific scientific objectives. Eligibility The course is aimed at undergraduate and graduate students, post-docs, professionals and senior scientists, modelers and remote sensers that will make snow measurements as part of their research, or use snowpack data in their research. There are no required prerequisites, but students should be physically able to spend days outside being active in the snow. How to Apply Applications will be accepted until 5:00 p.m. EDT on September 15, 2017 via the following Google Form<https://docs.google.com/forms/d/e/1FAIpQLScEbRNlsUXQQYAuey3BVCXfzqI-wmxt0KF3Dr9jSi4yeNxmRg/viewform?c=0&w=1>. Applications will be reviewed by course instructors and are evaluated based on the following criteria: clarity of learning takeaways from course; course relevancy to thesis work and/or job; and potential to contribute to university and general science community. Applicants will be notified of acceptance on October 15, 2017. Visit the event website<http://www.cvent.com/d/15qd3s> for additional information on the course and how to apply. ________________________________ Questions? Contact Elizabeth Tran at [email protected]<mailto:[email protected]>.
