1 00:00:00,040 --> 00:00:04,150 [ howling wind ] 2 00:00:04,170 --> 00:00:08,210 Walt: We just returned from the GPM Cold Season 3 00:00:08,230 --> 00:00:12,270 Precipitation Experiment held in Ontario, Canada. 4 00:00:12,290 --> 00:00:16,329 And it was a very successful experiment. We collected the bulk of the 5 00:00:16,350 --> 00:00:20,510 data that we went up there to get, and I think that everybody is very happy with the dataset. 6 00:00:20,530 --> 00:00:24,550 I would say that it did not snow across the norther tier of the United 7 00:00:24,570 --> 00:00:28,580 States and Southern Canada as much as we had hoped it would this year, but surprisingly 8 00:00:28,600 --> 00:00:32,610 enough, even given the relative lack of snow that we had, 9 00:00:32,630 --> 00:00:36,630 we got all the events that we basically wanted. 10 00:00:36,650 --> 00:00:40,670 One of the objectives for this field campaign was to 11 00:00:40,690 --> 00:00:44,750 test the range of snowfall intensities 12 00:00:44,770 --> 00:00:48,800 that occur. And the idea being there that we would be able to 13 00:00:48,820 --> 00:00:52,870 sort of find where it is in that spectrum of events that we would actually be able to 14 00:00:52,890 --> 00:00:56,930 detect falling snow from space with the GPM 15 00:00:56,950 --> 00:01:00,960 Core satellite. 16 00:01:00,980 --> 00:01:05,019 [ jet engine ] 17 00:01:05,040 --> 00:01:09,050 Through the duration of the campaign we went the full 18 00:01:09,070 --> 00:01:13,100 six weeks using all the aircraft hours that were available to us on the DC-8. 19 00:01:13,120 --> 00:01:17,120 We flew about 14 missions, for a total about 75 flight hours 20 00:01:17,140 --> 00:01:21,140 I sort of assumed we would show up and basically burn out our flight 21 00:01:21,160 --> 00:01:25,190 hours in a very short time up there in frequent heavy snowfall 22 00:01:25,210 --> 00:01:29,280 events, and what actually transpired is that we ended up using the entire 23 00:01:29,300 --> 00:01:33,320 duration of the field campaign to get our datasets because the snow events 24 00:01:33,340 --> 00:01:37,370 were sort of spaced fairly regularly and 25 00:01:37,390 --> 00:01:41,670 were not that heavy and we kept wanting to get the heavier event, and it took a while 26 00:01:41,690 --> 00:01:45,840 to get that. Steve: As you can see it's snowing pretty good 27 00:01:45,860 --> 00:01:49,870 this morning at the CARE site. Pretty nice large aggregates. 28 00:01:49,890 --> 00:01:53,930 It's exactly what we're looking for and it just keeps coming down. 29 00:01:53,950 --> 00:01:57,950 Walt: So we've completed the GCPEx experiment in terms of being 30 00:01:57,970 --> 00:02:01,990 on the ground and collecting the data. Now a phenomenal effort actually goes 31 00:02:02,010 --> 00:02:06,020 into quality controlling all of the data we collected. That is, to make sure that 32 00:02:06,040 --> 00:02:10,080 all of those datasets that we collected are usable, 33 00:02:10,100 --> 00:02:14,140 there's no bad data in the datasets, and that has to be done for 34 00:02:14,160 --> 00:02:18,270 a huge number of ground instruments that were deployed, both radars 35 00:02:18,290 --> 00:02:22,310 direct measurements of snowfall using gauges, particle 36 00:02:22,330 --> 00:02:26,350 imaging systems, all of those data on the ground. And then you have to move to the aircraft 37 00:02:26,370 --> 00:02:30,380 data, which is also very complex because you've got several different probe types 38 00:02:30,400 --> 00:02:34,410 that were flying in the clouds, looking at different aspects of the precipitation 39 00:02:34,430 --> 00:02:38,460 and all of that data has to be quality controlled. And finally you have the 40 00:02:38,480 --> 00:02:42,480 satellite simulator, or the DC-8, that carried the radiometer, the 41 00:02:42,500 --> 00:02:46,550 COSMIR radiometer and the APR-2 radar. 42 00:02:46,570 --> 00:02:50,630 All of those data have to be--and we're talking gigabytes and terabytes-- 43 00:02:50,650 --> 00:02:54,730 of data that has to be quality controlled. That will take on the order of six months to 44 00:02:54,750 --> 00:02:58,770 a year to accomplish. And that connection in between what I 45 00:02:58,790 --> 00:03:02,810 measured during this field campaign to what I think I'm going to see in space 46 00:03:02,830 --> 00:03:06,850 essentially encompasses the development process of 47 00:03:06,870 --> 00:03:10,880 making an algorithm to retrieve the snowfall from space. 48 00:03:10,900 --> 00:03:14,920 [ rain ] 49 00:03:14,940 --> 00:03:19,040 [ rain ] 50 00:03:19,060 --> 00:03:23,080 [ rain dripping ] 51 00:03:23,100 --> 00:03:25,989