Angela's Blog

Models in the tropics: Why so uncertain?

By: angelafritz, 4:59 PM GMT on August 25, 2012

As Tropical Storm Isaac spins toward Cuba today, we're still talking about the "uncertainty" in the forecast, not only for track, but for intensity, too. Both models and forecasters are pretty confident in the forecast track over the next day or so, but what Isaac will look like once it reaches the Gulf of Mexico, and what intensity the storm could reach, is still buried in the cards.

Why so uncertain? The most basic answer to this question is that the atmosphere is chaotic, and predicting an outcome in a chaotic system sometimes seems more like a dark art than a science. But the more we know about how the system works, and the physics that govern it, the better our forecasts can be. And we've come along way since the dawn of weather forecasting. I can say with high confidence what the temperature will be tomorrow and whether or not it will rain. However, when it comes to tropical cyclones, especially cyclones like Isaac, there are so many variables at play, and so many that we don't know, that our certainty drops, and this is when its most important to be aware of changes in the forecast if you're in a vulnerable location.

Factors involved in forecast uncertainty in the tropics

• Quality and number of observations
One of the big reasons day-to-day weather is easier to predict than the path of a hurricane is that we have great observations over land. Weather stations across the country, at airports and in cities and in peoples' backyards, are constantly recording what the weather is. We also launch weather balloons into the air twice a day all over the country, and most of the world. Models use this data to get a "best guess" at what the atmosphere looks like right at this very moment, and then uses that as a starting point for a forecast. Like a runner in the Olympics, if the observations are bad and 3 feet behind the line, that runner isn't going to perform well. Meteorologists have a saying, "junk in, junk out." If we apply this theory to hurricane forecasting, you can see where the problem lies. How do we get frequent, high quality observations of a hurricane over water in the middle of the Atlantic? A couple of ways include visible, infrared, and wind-measuring satellite instruments. We can see a lot from space, but obviously having "ground-truth" observations is ideal. If a ship happens to be heading through a storm that's weak or developing, it can send some data, and if the storm is passing over an island, forecasters there can launch weather balloons into the storm. However, these are just specks of data in a vast ocean basin. This is where the Hurricane Hunters come in, whose job it is to fly into these tropical beasts and record as much data as possible on a single tank of gas. There are also planes (Gulfstreams) that fly above the storm and drop instruments into it, which then relay information on the way down. Models ingest this information just like they ingest data from a weather station, which greatly improves the forecast. Without the Hurricane Hunters, our forecasts would be much more uncertain.

An example of an ensemble model forecast from NCEP. This run happened on Friday, August 24th, at 8am EDT. Each line is a single model run. The circles mark off points in time along the line.

• Weather model chaos
Yes, I know chaos was the "basic answer" to the question, but there's a little more to it. Given our previous item about observation quality and frequency, we know that in the best case scenario, we want a 100% complete and accurate, three-dimensional view of the atmosphere to start a model with. In the worst case scenario, we have no data at all. Reality falls somewhere in the middle. We know that we're not going to have all the data we need to make a perfect forecast (wouldn't that be nice?). So we use that knowledge to hedge our bets. Instead of just running one single model, and hoping that the model gets it right, we run many, many models. These "ensemble forecasts" assume our data isn't perfect or complete. Some of them are the same model (e.g. the GFS or the ECMWF) run multiple times with slight variations in the initial conditions. Another way to get an ensemble forecast is to run a bunch of different models with the same initial data. We use ensemble forecasts for all kinds of weather, but in the case of tropical cyclones, the result doesn't look like one single line, or one single intensity forecast. It ends up looking something like the National Hurricane Center's "cone of uncertainty." It's basically the models' cone of uncertainty. The individual model runs come together to form a pretty good idea of what's going to happen, along with the "spread" of uncertainty, which translates into risk. And having an accurate picture of your risk is the best way you can prepare for an approaching storm.

• Strength and structure of the storm
This is probably the most interesting and yet most frustrating part of nailing down a tropical cyclone forecast. If a hurricane is well-developed, it's often easier to forecast the final outcome. Well-developed hurricanes are tall in the atmosphere, and their circulation is usually broad and uniform. It makes the "initial picture" easier to paint. For this reason, the models are able to get a handle on the hurricane and forecast an outcome that we're more likely to see than if a storm is disorganized and weak. Isaac has been disorganized for much of this week. The location of the center of circulation at the surface was not in the same place as the strongest thunderstorm activity. We saw the same thing in satellite measurements--that the storm was "tilted" with height--the sign of a poorly organized cyclone. Isaac was also weak. It's circulation was not well-developed and so surface wind speeds remained below hurricane threshold--a good thing for Hispaniola, Puerto Rico, and other affected islands in the Caribbean, to be sure. But this also leads to more uncertainty in the forecast track, and the forecast intensity. A weak storm's center of circulation has an easier time "shifting" from one place to another, and the center location is one of the most important factors in determining the track. We saw Isaac's center shift or wobble a few times over the past few days. In terms of intensity, it's hard to get a good idea of what Isaac will look like after it passes over Cuba, because we don't know exactly what impact Cuba will have on it. We know for sure that mountainous islands weaken tropical cyclones. However, a slight shift to the north or south and Isaac is back over warm water, which is the storm's fuel.

Given all this uncertainty, what should you do to prepare? Pay close attention to the forecasts from the National Hurricane Center. Be aware of the center's cone of uncertainty. Never assume that a cyclone is going to head directly down the middle of that cone. Assess your risk, and have a plan. And of course, be sure to heed weather warnings and follow directives from your local emergency managers.

Our friends at Portlight are gearing up for Isaac as we speak. You can find out how to support their disaster relief organization here.

Webcams to watch:

A few interesting Florida webcams to watch over the next day or so:
Marathon, Florida
Sanibel, Florida
Rotonda West, Florida

You can find me on Dr. Masters' blog this weekend in the afternoons. I'll be posting each day just after 5pm EDT.



Updated: 5:05 PM GMT on August 25, 2012


Manila a "waterworld" after massive flooding; A million people impacted

By: angelafritz, 6:23 PM GMT on August 08, 2012

Manila is under water this week as a period of heavy rain in the Philippines is likely coming to an end. A state of calamity has been declared for the provinces impacted by the floods. The head of the country's disaster response agency said that at least 60% of the city of Manila is under water, and that "it was difficult to distinguish the sea from the flood waters." 1.2 million people live in the affected region, and 400,000 have evacuated to shelters or other safe ground. The country's emergency response organization released a report today that sums up the damage from the "Southwest Monsoon."

• 16 people have died, 9 of whom were victims of a single landslide
• 147 roads are impassable to all types of vehicles
• 7 dams are at critical levels or overflowing
• 535 homes have been damaged, 466 of these are totally destroyed

A personal weather station near Manila (which records rainfall, unlike many of the official stations in the region) has recorded 17.77 inches of rain since August 4th. Typical rainfall for the Manila area for the entire month of August (its rainiest month) is 15.7 inches. One of our WunderPhotographers in the Philippines reports: "Over 750mm of rainfall in the past 48 hours resulted in the overflowing of 5 dams, 4 major waterways and several creeks that submerged 60% of the Philippine capital in 1-15ft of floodwater."

The rain seems to have started with the passing of Typhoon Saola, which likely primed the region for the onslaught of rain they were about to receive from Tropical Cyclone Haikui. Neither cyclone made direct impact over the Philippines, but both storms enhanced the unfavorable flow over the region, drawing in moisture and triggering long lived rain and thunderstorm activity and enhancing the southwest monsoon. The Haikui rain event has persisted from August 4th until now, though local officials are optimistic that the rain will let up over the next day or two now that Haikui has made landfall in China. Model forecasts show the same—the heavy rain should taper off into more typical daily thunderstorm activity as the southwest flow weakens.

Infrared satellite imagery from August 6, 2012 at 18:00 UTC, showing the location of both Manila in the Philippines and Typhoon Haikui as it approaches China. Areas of red are high cloud tops and are where we would expect the heaviest rainfall.

More images from Philippines photographer Chandyman below.


Flood Hurricane

Updated: 2:49 AM GMT on August 09, 2012


The views of the author are his/her own and do not necessarily represent the position of The Weather Company or its parent, IBM.

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About angelafritz

Atmospheric Scientist here at Weather Underground, with serious nerd love for tropical cyclones and climate change. Twitter: @WunderAngela

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