1 00:00:00,130 --> 00:00:04,200 VO: In order improve hurricane forecasts, scientists model storms of the past. 2 00:00:04,220 --> 00:00:08,310 Braun: We model old storms because it gives a way to 3 00:00:08,330 --> 00:00:12,470 compare the simulations to observations and try to assess the 4 00:00:12,490 --> 00:00:16,630 physical processes within storms and also how well those 5 00:00:16,650 --> 00:00:20,760 processes are represented in the forecast models. Because that's key to 6 00:00:20,780 --> 00:00:24,940 improving forecasts in the future. VO: With improvements in computing power, 7 00:00:24,960 --> 00:00:28,970 researchers have been running ensemble forecasts. 8 00:00:28,990 --> 00:00:33,050 Braun: Instead of a single forecast, we run a whole series of forecasts where you make slight 9 00:00:33,070 --> 00:00:37,160 variations to the initial information that goes into the models and then see how much 10 00:00:37,180 --> 00:00:41,220 spread you get within those forecasts. Running ensembles gives us a visual description 11 00:00:41,240 --> 00:00:45,350 of the level of uncertainty associated with forecasting tropical storms. 12 00:00:45,370 --> 00:00:49,460 Braun: And the average over all those ensembles usually gives you a better forecast 13 00:00:49,480 --> 00:00:53,580 than if you ran just a single forecast model. VO: One way to test forecast models is to 14 00:00:53,600 --> 00:00:57,670 reanalyze past storms. Reale: It's very important to study the 15 00:00:57,690 --> 00:01:01,840 worst possible storms in history because those are the ones that really put the 16 00:01:01,860 --> 00:01:05,990 system to a challenge. VO: NASA and NOAA cooperate in satellite 17 00:01:06,010 --> 00:01:10,190 systems and sharing data, as well as experiments and modeling research, all of 18 00:01:10,210 --> 00:01:14,380 which enable NOAA and other agencies to provide better forecasts of tropical cylones. 19 00:01:14,400 --> 00:01:18,460 Reale: When NOAA and National Hurricane Center issues a forecast, the better the 20 00:01:18,480 --> 00:01:22,550 forecast is historically, the more likely it is that people would trust the 21 00:01:22,570 --> 00:01:26,640 forecast, and decision makers will make the right decisions and 22 00:01:26,660 --> 00:01:30,720 they will tell what place has to be evacuated and what place can stay. 23 00:01:30,740 --> 00:01:34,840 VO: To get a clearer look at the processes inside the hurricane, NASA's Global 24 00:01:34,860 --> 00:01:38,970 Precipitation Measurement Microwave Imager, or GMI, gives us an 25 00:01:38,990 --> 00:01:43,050 X-ray beneath the clouds. Braun: If you have a storm that maybe isn't well defined, doesn't have 26 00:01:43,070 --> 00:01:47,210 a visible eye, with the GMI and similar instruments 27 00:01:47,230 --> 00:01:51,360 you're able to see the rainfall structure underneath those clouds 28 00:01:51,380 --> 00:01:55,440 So you can see the ring of heavy precipitation in the eye wall, as well as 29 00:01:55,460 --> 00:01:59,510 several of the rain bands. And that really helps to tell us a lot about how the storm is evolving, 30 00:01:59,530 --> 00:02:03,590 and how that might relate to the intensity of the storm. 31 00:02:03,610 --> 00:02:07,670 VO: Representing those small-scale eye processes in global models has been an ongoing 32 00:02:07,690 --> 00:02:11,780 area of research. Reale: By increasing resolution and increasing, of course, the quality of 33 00:02:11,800 --> 00:02:15,910 the physical processes that are represented inside the model, 34 00:02:15,930 --> 00:02:19,990 global models have been getting better and better. They make hurricanes 35 00:02:20,010 --> 00:02:24,090 smaller, more compact, closer to the real size, 36 00:02:24,110 --> 00:02:28,280 and the eye becomes smaller and smaller and they become more intense. 37 00:02:28,300 --> 00:02:30,813