A friendly reminder of the upcoming deadlines for the following CUAHSI workshops:
* June 30th: Registration Deadline for Sensor Network Bootcamp in an Urban Environment * June 30th: Early Bird Registration Deadline for Training Workshop: Using In-Situ Water Quality Sensors - Lagrangian and Eulerian Applications * 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 et...@cuahsi.org<mailto:et...@cuahsi.org> for more information. ________________________________ Sensor Network Bootcamp in an Urban Environment August 23 - 25, 2017 || Ann Arbor, MI Regular Registration Deadline: June 30th CUAHSI, University of Michigan and UCAR/NCAR are offering a 3-day training workshop on the use of open-source wireless sensing technologies for hydrology. In this workshop, instructors will take the lessons learned in studies of "pristine" and remote hydrologic systems and adapt them to studying urban watersheds. The workshop lessons will present an end-to-end solution, all the way from low-level sensing, to high-level could-hosted data services. Specifically, the workshop will cover: 1. Sensing: How to program open-source cellular data loggers. How to connect sensors and store readings. The sensors will include, but are not limited to, flow, soil moisture, precipitation, temperature, and water quality. 2. Data Services: How to stream data to the "cloud" using simple-to-deploy real-time data platforms that have been developed as part of the CHORDS EarthCube project. How to interface these data streams directly with the CUAHSI's data portal. Participants will also learn about "adaptive sampling" or how to remotely control their sensor nodes to measure only during "interesting" periods. 3. Mechanical assembly: How to assemble sensor nodes, select batteries, solar panels, drill enclosures and field-proof equipment. Participants will assemble an entire senor node from scratch and prepare it for deployment. 4. Real-world deployment: Participants will deploy their sensor node in a real-world urban watershed. Breakout groups will be formed based on the students interest, and will include: * Stream/River Stage: Participants interested in flow/flood measurements will learn how to assemble and deploy a low-cost stage measurement node to collect data similar to those measured by USGS gauging stations. * Water Quality: Participants interested in urban runoff and water quality, will learn how to deploy a wireless automated sampler, which will be programmed to collect water quality samples during storm events. * Soil Moisture and Precipitation: Participants interested in watershed science (or green infrastructure) will learn how to deploy a rain and soil moisture sensors to estimate infiltration and runoff. * Flow control: Participants interested in "smart" water systems and urban water infrastructure, will learn how to deploy a smart valve, which can be controlled remotely to change the flow of urban water in real time. Prerequisites: No prior experience is needed, but some programing knowledge is a plus. Participants will acquire the core skills necessary to effectively deploy reliable sensor networks upon completion of the workshop. A laptop with MS Windows is preferred. The course will be held at University of Michigan<https://www.umich.edu/> in Ann Arbor, MI. Included in the registration fee are course tuition, facilities costs, catered lunches and light refreshments. Visit the event website<http://www.cvent.com/d/zvqbxh> for more information and to register<http://www.cvent.com/d/zvqbxh/4W>. ________________________________ ________________________________ Training Workshop: Using In-Situ Water Quality Sensors - Lagrangian and Eulerian Applications November 7 - 9, 2017 || Gainesville, FL Early Bird Registration Deadline: June 30th 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>. ________________________________ ________________________________ 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 et...@cuahsi.org<mailto:et...@cuahsi.org>.