BEGIN:VCALENDAR VERSION:2.0 PRODID:-//jEvents 2.0 for Joomla//EN CALSCALE:GREGORIAN METHOD:PUBLISH BEGIN:VEVENT UID:6f9ced7b9a844a02b1809f8d8daeec68 CATEGORIES:Field and Summer Schools CREATED:20190930T125333 SUMMARY:Snow Measurement Field School LOCATION:White Mountain National Forest\, U.S\, Bretton Woods\, New Hampshire\, USA DESCRIPTION:Snow covers a large portion of the Earth’s mid- and high-latitude land surf ace for extended periods every year.  For humans, the precipitation that ac cumulates in mountains and forests in the form of snow is crucial, providin g water to about 2 billion people on Earth (Barnett et al., 2007; Mankin et al., 2015). It is equally important for virtually all humans in the way it regulates essential climate processes through the snow albedo effect (Kell ogg, 1973; Groisman et al., 1994; Lemke et al., 2007) and through its super b insulating properties (Goodrich, 1982; Mellor, 1964; Sturm et al., 1997). Quite simply, any change in global snow quality or quantity is likely to h ave serious climatic and societal consequences for all of us (Barnett et al ., 2005; Mankin et al., 2015; NASA, 2016; Sturm et al., 2017).\nAccurate sn owpack property measurements are needed as ground truth for remotely sensed data, as input for hydrological models, as input to ecological models, and as data when making avalanche forecasts. There are two reasons a scientist needs to know how to make these measurements: First, because they will dur ing their career collect and use field data for their own research purposes and should understand the spatial and temporal relevance of the data.  Sec ond, because they are likely to use snowpack data from field practitioners or agency sources and need to understand the accuracy and the richness of t he data they are using.\nThe curriculum assumes little prior knowledge and experience on the part of the students, and begins with field and snow safe ty, then progresses to simple but critical snow measurements like depth, de nsity, and snow water equivalent. Sampling schemes (including time/money co nstraints) are discussed. The students are divided into teams and paired wi th an instructor, then tasked with making field measurements that simulate what would be required in actual field campaigns. There is a specialized me asurement technique day where students will cycle through stations intended for students to get hands on experience with these instruments (including a snow micropenetromter (SMP), snow conductivity instruments, mobile radar system, near infrared camera, field spectrometer, and drones). Daylight hou rs are spent almost entirely out in the snow, but in the evenings students work collectively to produce secondary products and presentations based on the field results, and to participate in discussions about field measuremen ts, handling of data, and the use of more advanced instruments.\nBy the end of the course, students should be able to do the following:\n\n - Excavate and prepare a snow pit.\n - Measure and record profiles of density, snow t emperature, grain size, and hardness.\n - Characterize stratigraphy and lay ering, snow surface roughness, and snow grain types.\n - Use a Federal snow sampler, an avalanche probe, a magnaprobe, and other snow measurement equi pment. \n - Design their own experiment for sampling snow based on specific scientific objectives, and have an understanding of the strengths and limi tations of snow field data. Application Deadline: 15 October\nSee here more information and how to apply: http://www.cvent.com/events/snow-measurement -field-school/event-summary-3b8c1fc5494b4006bb7762666250fff9.aspx\n X-ALT-DESC;FMTTYPE=text/html:

Snow covers a large portion of the Earth’s mid- and high-latitude land surface for extended periods every year.  For humans, the precipitation that accumulates in mountains and forests in the form of snow is crucial, providing water to about 2 billion people on Earth (Barnett et al., 2007; Mankin et al., 2015). It is equally important for virtually all humans in the way it regulates essential clima te processes through the snow albedo effect (Kellogg, 1973; Groisman et al. , 1994; Lemke et al., 2007) and through its superb insulating properties (G oodrich, 1982; Mellor, 1964; Sturm et al., 1997). Quite simply, any change in global snow quality or quantity is likely to have serious climatic and s ocietal consequences for all of us (Barnett et al., 2005; Mankin et al., 20 15; NASA, 2016; Sturm et al., 2017).

Accurate snowpack property measu rements are needed as ground truth for remotely sensed data, as input for h ydrological models, as input to ecological models, and as data when making avalanche forecasts. There are two reasons a scientist needs to know how to make these measurements: First, because they will during their career coll ect and use field data for their own research purposes and should understan d the spatial and temporal relevance of the data.  Second, because the y are likely to use snowpack data from field practitioners or agency source s and need to understand the accuracy and the richness of the data they are using.

The curriculum assumes little prior knowledge and experience on the part of the students, and begins with field and snow safety, then pr ogresses to simple but critical snow measurements like depth, density, and snow water equivalent. Sampling schemes (including time/money constraints) are discussed. The students are divided into teams and paired with an instr uctor, then tasked with making field measurements that simulate what would be required in actual field campaigns. There is a specialized measurement t echnique day where students will cycle through stations intended for studen ts to get hands on experience with these instruments (including a snow micr openetromter (SMP), snow conductivity instruments, mobile radar system, nea r infrared camera, field spectrometer, and drones). Daylight hours are spen t almost entirely out in the snow, but in the evenings students work collec tively to produce secondary products and presentations based on the field r esults, and to participate in discussions about field measurements, handlin g of data, and the use of more advanced instruments.

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

Applicatio n Deadline: 15 October

See here more information and how to apply:&nb sp;http://www.cvent.com/events /snow-measurement-field-school/event-summary-3b8c1fc5494b4006bb7762666250ff f9.aspx

DTSTAMP:20260420T151531Z DTSTART;TZID=UTC;VALUE=DATE:20200106 DTEND;TZID=UTC;VALUE=DATE:20200110 SEQUENCE:0 TRANSP:OPAQUE END:VEVENT END:VCALENDAR