1 00:00:00,027 --> 00:00:05,840 Vuyovich: NASA SnowEx is a is a multi-year  field campaign to test a number of different   2 00:00:05,840 --> 00:00:11,120 remote sensing technologies that might get  launched from space or in preparation for   3 00:00:11,120 --> 00:00:18,160 some planned satellites. In past years we've had  you know a lot of people from all over the place,   4 00:00:18,160 --> 00:00:24,240 even internationally, come together to collect  observations and conduct a several week-long   5 00:00:24,240 --> 00:00:30,320 campaign. This year we really had to change the  design of that, and now we're focusing a lot more   6 00:00:30,320 --> 00:00:36,560 on local teams. So we have local research groups  who have you know maybe been using a study area   7 00:00:36,560 --> 00:00:42,800 for a number of years, continuing to collect  observations and following the SnowEx protocol.   8 00:00:42,800 --> 00:00:48,160 So at all these sites they're collecting the same  observations on the ground, while the different   9 00:00:48,160 --> 00:00:54,240 planes fly overhead. One of our sites is in  Idaho is being led by Boise State University,   10 00:00:54,240 --> 00:01:00,120 and a number of graduate students are going out on  a weekly basis to collect observations. Marshall:   11 00:01:00,960 --> 00:01:06,400 I think one of the things that makes Boise State  really unique in terms of snow research, one of   12 00:01:06,400 --> 00:01:12,160 the big ones is how accessible the mountains are.  We're only 15 miles from the campus, and so we can   13 00:01:12,160 --> 00:01:19,600 get folks into the winter environment relatively  easily. Snow impacts both Boise and Idaho because   14 00:01:19,600 --> 00:01:26,320 in this part of the world our water supply comes  primarily from the seasonal snow cover. About 70   15 00:01:26,320 --> 00:01:30,560 of our water each year comes from the snow that  falls in the mountains, and that's important   16 00:01:30,560 --> 00:01:35,600 both for water resources, for recreation, a lot  of people use our river systems, so it's a big   17 00:01:35,600 --> 00:01:40,400 part of the economy, for agriculture. And then  also for hydropower. And then predicting the   18 00:01:40,400 --> 00:01:44,400 amount of snow that we have in the mountains  is important for flood forecasting as well. 19 00:01:47,880 --> 00:01:55,040 Kraft: We are digging a snow pit. So we  dig one in the open and one in the forest,   20 00:01:55,040 --> 00:02:00,080 and within the snow pit we measure  the different layers of the snowpack,   21 00:02:00,880 --> 00:02:04,720 and then in each layer we look  at the snow crystal types,   22 00:02:04,720 --> 00:02:10,160 as well as the size of the snow crystals.  And then we measure the density of the snow   23 00:02:10,720 --> 00:02:16,080 and measure the liquid water content. So we're  looking at how much water is in the snowpack. 24 00:02:17,880 --> 00:02:23,600 Marshall: So a lidar system measures the  height of the snow, and this specific system   25 00:02:23,600 --> 00:02:29,360 we're working with Silverhawk Aviation out of  Caldwell, and it's allowing us to very quickly   26 00:02:29,360 --> 00:02:35,200 integrate that instrument and then fly on about  24 hours’ notice. What we're really finding is   27 00:02:35,200 --> 00:02:41,280 that the solution to the snow problem is going to  require field measurements like we're doing today,   28 00:02:41,280 --> 00:02:46,160 remote sensing like the helicopter that flew  over today and the satellites that are timed   29 00:02:46,160 --> 00:02:50,800 to overpass our site, and combining the models,  the remote sensing and the ground measurements.   30 00:02:50,800 --> 00:02:58,720 All three of those pieces are very critical. Snow  is a relatively new science and so a lot of the   31 00:02:59,280 --> 00:03:05,360 problems that we tackle are questions that that a  lot of people haven't actually looked at before.   32 00:03:05,360 --> 00:03:11,600 And what that means for I think students is that  it's much easier to make an impact than in some   33 00:03:11,600 --> 00:03:15,440 of these other fields that have been studied  for hundreds and hundreds of years. Vuyovich:   34 00:03:15,440 --> 00:03:21,120 NASA’s interest in in studying snow, there are a  number of different objectives. So you know from   35 00:03:21,120 --> 00:03:26,480 the water resources side, snow is in incredibly  important. And in the western United States,   36 00:03:26,480 --> 00:03:33,200 a lot of the water resources come from snow. In  other areas, it's hydropower. It provides some   37 00:03:33,200 --> 00:03:40,240 infiltration into the soil, so for agriculture. It  also feeds into some climate change questions. How   38 00:03:40,240 --> 00:03:45,840 the snowpack is changing, how does that  influence the energy balance of the Earth.