1 00:00:04,710 --> 00:00:02,310 in order to improve hurricane forecasts 2 00:00:07,190 --> 00:00:04,720 scientists model storms of the past we 3 00:00:09,830 --> 00:00:07,200 model old storms because it gives us a 4 00:00:11,990 --> 00:00:09,840 way to compare the simulations to 5 00:00:14,549 --> 00:00:12,000 observations and try to assess the 6 00:00:16,870 --> 00:00:14,559 physical processes within storms and 7 00:00:18,870 --> 00:00:16,880 also how well those processes are 8 00:00:20,550 --> 00:00:18,880 represented in the forecast models 9 00:00:22,230 --> 00:00:20,560 because that's key to improving 10 00:00:23,750 --> 00:00:22,240 forecasts in the future with 11 00:00:25,509 --> 00:00:23,760 improvements in computing power 12 00:00:28,630 --> 00:00:25,519 researchers have been running ensemble 13 00:00:31,109 --> 00:00:28,640 forecasts instead of a single forecast 14 00:00:33,750 --> 00:00:31,119 we run a whole series of forecasts where 15 00:00:35,270 --> 00:00:33,760 you you make slight variations to the 16 00:00:37,270 --> 00:00:35,280 initial information that goes into the 17 00:00:39,270 --> 00:00:37,280 models and then see how much spread you 18 00:00:41,270 --> 00:00:39,280 get within those forecasts running 19 00:00:43,190 --> 00:00:41,280 ensembles gives us a visual description 20 00:00:45,590 --> 00:00:43,200 of the level of uncertainty associated 21 00:00:47,590 --> 00:00:45,600 with forecasting tropical storms and the 22 00:00:49,190 --> 00:00:47,600 average of over all those ensembles 23 00:00:51,350 --> 00:00:49,200 usually gives you a better forecast than 24 00:00:53,350 --> 00:00:51,360 if you ran just a single forecast model 25 00:00:55,590 --> 00:00:53,360 one way to test forecast models is to 26 00:00:57,990 --> 00:00:55,600 re-analyze past storms it's very 27 00:00:59,990 --> 00:00:58,000 important to study the worst possible 28 00:01:02,389 --> 00:01:00,000 storms in history because those are the 29 00:01:04,630 --> 00:01:02,399 ones that really put the system to a 30 00:01:06,950 --> 00:01:04,640 challenge nasa and noaa cooperate in 31 00:01:08,710 --> 00:01:06,960 satellite systems and sharing data as 32 00:01:10,870 --> 00:01:08,720 well as experiments and modeling 33 00:01:12,469 --> 00:01:10,880 research all of which enable noaa and 34 00:01:15,030 --> 00:01:12,479 other agencies to provide better 35 00:01:16,630 --> 00:01:15,040 forecasts of tropical cyclones when noaa 36 00:01:19,030 --> 00:01:16,640 a national hanukkah center issues a 37 00:01:21,429 --> 00:01:19,040 forecast the better the forecast is 38 00:01:22,789 --> 00:01:21,439 historically the more likely that people 39 00:01:25,030 --> 00:01:22,799 would trust 40 00:01:26,710 --> 00:01:25,040 the forecast and decision makers will 41 00:01:29,270 --> 00:01:26,720 make the right decisions and they will 42 00:01:31,350 --> 00:01:29,280 tell what place has to be evacuated and 43 00:01:32,950 --> 00:01:31,360 what place can stay to get a clearer 44 00:01:35,350 --> 00:01:32,960 look at the processes inside the 45 00:01:38,069 --> 00:01:35,360 hurricane nasa's global precipitation 46 00:01:40,149 --> 00:01:38,079 measurement microwave imager or gmi 47 00:01:41,910 --> 00:01:40,159 gives us an x-ray beneath the clouds if 48 00:01:44,469 --> 00:01:41,920 you have a storm that maybe isn't well 49 00:01:47,109 --> 00:01:44,479 defined doesn't have a visible eye with 50 00:01:49,830 --> 00:01:47,119 the gmi and similar instruments you're 51 00:01:51,670 --> 00:01:49,840 able to see the the rainfall structure 52 00:01:53,590 --> 00:01:51,680 underneath those clouds so you can see 53 00:01:56,230 --> 00:01:53,600 the ring of heavy precipitation in the 54 00:01:57,990 --> 00:01:56,240 eye wall as well several the rain bands 55 00:02:00,069 --> 00:01:58,000 and that really helps to tell us a lot 56 00:02:01,830 --> 00:02:00,079 about how the storm is evolving and how 57 00:02:04,389 --> 00:02:01,840 that might relate to the intensity of 58 00:02:06,469 --> 00:02:04,399 the storm representing those small scale 59 00:02:08,389 --> 00:02:06,479 eye processes in global models has been 60 00:02:10,229 --> 00:02:08,399 an ongoing area of research 61 00:02:12,470 --> 00:02:10,239 by increasing resolution and increasing 62 00:02:15,030 --> 00:02:12,480 of course the quality of the physical 63 00:02:15,910 --> 00:02:15,040 processes representation inside the 64 00:02:19,670 --> 00:02:15,920 model 65 00:02:22,550 --> 00:02:19,680 better and better they make hurricanes 66 00:02:24,710 --> 00:02:22,560 that are smaller more compact closer to 67 00:02:26,470 --> 00:02:24,720 their real sides and the eye becomes