WEBVTT FILE 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