Mar 272013
 

Forecast

When you go to one of the major sites to look up the weather, it's often hard to find what you're looking for. The sites feel dated, there isn't much hierarchy to the information, and navigation gets buried in the show-as-much-information-as-possible-on-the-same-page approach. Forecast, a site by the makers of the Dark Sky app, hopes to improve that experience during those times you need more than the high and lows for the day from the nearest widget.

When you visit Forecast, you notice a difference right away. There's a map with local, regional, and global views, the temperature in large print on the right, and there are descriptions about what to expect that are easy to understand.

From there, you get your daily forecasts below the map with details on demand. So you can get a lot of the same information that you get from larger sites, but you don't get hit with a bunch of data at once, and when you request more information, you get it quickly.

There's also an API. Forecast and the Dark Sky app both run on it, which is the cherry on top of the goodness.

I usually go to Matthew Ericson's minimalist weather page when I'm figuring out when to ride my bike or mow the lawn. Forecast might be my new weather destination for a while.

Feb 162013
 

From NOAA, an animation showing a wave of cold during the Martin Luther King Jr. holiday weekend last month:

A drop in the jet stream sent temperatures across the United States plummeting over the Martin Luther King Jr Holiday weekend. The pronounced change in temperatures can be seen in this weather data from NOAA/NCEP's Real-Time Mesoscale Analysis. Areas colored blue are below freezing. The diurnal cycle of heating and cooling can be seen over time, but the pattern is clear: much of the U.S. is pretty cold.

While you're at it, you might as well check out other videos on the NOAA Visualizations YouTube channel. Some good stuff.

Jan 292013
 

We've all seen rain maps for a sliver of time. Screw that. I want to see the total amount of rainfall over a ten-year period. Bill Wheaton did just that in the video above, showing cumulative rainfall between 1960 and 1970. The cool part is that you see mountains appear, but they're not actually mapped.

The hillshaded terrain (the growing hills and mountains) is based on the rainfall data, not on actual physical topography. In other words, hills and mountains are formed by the rainfall distribution itself and grow as the accumulated precipitation grows. High mountains and sharp edges occur where the distribution of precipitation varies substantially across short distances. Wide, broad plains and low hills are formed when the distribution of rainfall is relatively even across the landscape.

See also Wheaton's video that shows four years of rain straight up.

Is there more recent data? It could be an interesting complement to the drought maps we saw a few months ago. [Thanks, Bill]

Oct 312012
 

Sandy aftermath

The New York Times provides a detailed look at the Sandy aftermath, across states and locally. With millions of people losing power in a short amount of time, the outages map and chart is the most dramatic.

More than six million customers lost power Monday as Hurricane Sandy felled trees, downed power lines and flooded substations. The storm led to power failures in at least 17 states, including more than a million customers in Pennsylvania and New Jersey and about 660,000 in New York City.

Sep 262012
 

Global cloud coverage

In the latest Chrome experiment, Google mapped cloud coverage around the world in Cloud Globe. The interactive animation shows coverage from July 1, 2010 to September 12, 2012, with a globe that you can move around as expected and a timeline on the bottom that indicates high levels of coverage. As the animation plays through, storms are highlighted with a circle and pointer. Finally, you can turn on the vegetation layer, and the green regions happen to be under the clouds. Imagine that.

Sep 102012
 

Nate Silver says the weatherman is not a moron.

Still, most people take their forecasts for granted. Like a baseball umpire, a weather forecaster rarely gets credit for getting the call right. Last summer, meteorologists at the National Hurricane Center were tipped off to something serious when nearly all their computer models indicated that a fierce storm was going to be climbing the Northeast Corridor. The eerily similar results between models helped the center amplify its warning for Hurricane Irene well before it touched down on the Atlantic shore, prompting thousands to evacuate their homes. To many, particularly in New York, Irene was viewed as a media-manufactured nonevent, but that was largely because the Hurricane Center nailed its forecast. Six years earlier, the National Weather Service also made a nearly perfect forecast of Hurricane Katrina, anticipating its exact landfall almost 60 hours in advance. If public officials hadn’t bungled the evacuation of New Orleans, the death toll might have been remarkably low.

I like the bit later in the article that describes the number crunching machine and how humans are involved in the analysis. The National Weather Service has heavy-duty computing power to process data coming from weather stations across the country, but the computer is still bad at doing a lot of things.

To most people, statistics means plugging numbers into an advanced calculator that spits out values, without much thought involved. Those people don't work with data.

Tornado tracks

 Mapping, weather  Comments Off
May 262012
 

TornadoTracks

John Nelson of IDV Solutions put 56 years worth of tornadoes on a map. John plotted each tornado's path and used brightness for its F-scale (level of intensity). He also added secondary charts for deaths and injuries and frequency by F-scale.

It makes a gorgeous map. I would love to see the data incorporated into the wind map.

So... practically speaking, if you live in the Midwest or Southern US, you should probably put this on your reading list.

May 022012
 

Glaciers are big, slow-moving objects, and it might seem that not much is happening if you stare at one for a while. The Extreme Ice Survey, founded by James Balog in 2007, aims to provide the ice with a "visual voice" using time-lapse photography.

One aspect of EIS is an extensive portfolio of single-frame photos celebrating the beauty–the art and architecture–of ice. The other aspect of EIS is time-lapse photography; currently, 27 cameras are deployed at 18 glaciers in Greenland, Iceland, the Nepalese Himalaya, Alaska and the Rocky Mountains of the U.S. These cameras record changes in the glaciers every half hour, year-round during daylight, yielding approximately 8,000 frames per camera per year. We edit the time-lapse images into stunning videos that reveal how fast climate change is transforming large regions of the planet.

Some of the videos span four years, from 2007 to 2011, and it's amazing to see the sped-up dynamic of the ice. I like this one, which Balog refers to as the cat's paw. It looks like a big paw of ice reaching into the ocean.

[via Boing Boing]

Apr 182012
 

Drought map

NPR has a look at weekly drought figures over the past couple of years. The focus is on Texas, a state that's been hit hard the past few months. In 2011, there was an estimated agricultural loss of $7.62 billion.

The current drought began in October 2010. Though the situation has improved recently, the drought is far from over — and the conditions that caused it aren’t going away anytime soon.

Texas is a place susceptible to extreme weather, and the last year was no exception. Thousands of square miles were burned in wildfires, billions were lost in agriculture, and its impact could still linger in years to come.

Hit the play button, and the string of images runs like a flip book. Low tech, but effective.

[via Matt Stiles]

Mar 012012
 

The difference:

In this animated short, the relationship between trend and variation are explained with an excellent analogy to a man walking his dog. There is much more variation in the path that the dog takes as compared with the man, but they are both headed the same way. Similarly, weather can be highly variable and climate means long term trends.

I heard that a kitten dies every time a news anchor debunks global warming with an unexpected day of snow.

[Spark]