NASA says how rain and snow travel across the globe

I know everyone has a dream of watching clouds and rain from your home, right...??? If so, your dream will come true now. Because, NASA says how rain and snow travel across the globe. So, let's see how we can see the rain and snow.

NASA news :

NASA released visualization of storm swirls that took place in 2004.

NASA's " Global precipitation Measurement Core Observatory " (GMP), a satellite network that provides near real time precipitation data covering the entire planet.

How this video helpful :

The video shown is going to help save lives. It tells you " which coastlines to evacuate ".

For example, if you saw that more clouds are gathering at a certain place, you may understand that more rain will fall there. Then, result is floods. People will definitely lost their money, pets and sometimes even lives.

So, by watching clouds before rain will helpful to you to predict that disaster. Then, automatically you can warn the people who are living there and you can send people to a safe place...

Gail Skofronick - Jackson :

He is the GMP project scientist at NASA's Goddard Space Flight Center.

He said, " GMP sees globally, so you can start to track the hurricane and cyclones and know which coastlines to evacuate " . He said these words in NASA briefing today article.

Duration :

The GMP gathers the data every 30 minutes. As, NASA says how we can see the rain and snow travel across the globe, we can get data easily and with in a short span of delay. So, no way to occurrence of disaster.

Idea :

Nasa says, " it can be used to develop rainfall accumulation maps ". So, you can point out, the place easily and you can ring the emergency bell.

Places you can watch :

You can watch the place with pretty fun also like, precipitation in the USA as it turns to snow in Canada or watch rain move from west south Africa to South America, etc...,.

" This view from space has given us an ability to see the entire globe in multiple dimensions ", Jackson said.

Watch video : 

As you read up to now how these are using theoretically. Now, watch the video, you can get more knowledge how the clouds are moving or going from one region to another region..

Watch video here,  Nasa says how rain and snow travel across the globe


Final Words :

With the GMP, we can watch the rain and snow travel across the globe. Not even depend on the disaster intimation centers.

You can not only save your life, but also a nation can save from those disasters..


Add more story...??? Or any questions...??? You can comment below.. More discussion will give you more knowledge..



Source :  NASA

Machine learning technique is used to measure stars

Astronomers are taking the help of machine to sort through 1000's of stars in our galaxy and learn their sizes, compositions, etc...

Machine Learning :

Machine learning is in everything from media streaming services that predict what you want to watch, to the post office, where computers automatically read handwritten address and direct mail to the correct zip codes.


Earlier :

Machine learning has applied to the Cosmos before; what makes this latest effort unique is that it is the 1st to predict specific traits of stars, such as size and metal content. These traits are essential to learning about when a star was born & how it has changed since that time.


Need of Machine Learning :

Now astronomers are turning to machines to help them identify basic properties of stars based on sky survey images. Normally, these kinds of details require a spectrum, which is detailed sifting of starlight into different wavelengths. But, with machine learning, computer algorithms can quickly flip through available stacks of images, properties of stars with more information and short time and with less expensive.


Large Synoptic Survey Telescope :

Every night, telescope around the world obtain 1000's of images of the sky. The flood of new data is only expected to rise with upcoming wide field surveys like the Large Synoptic Survey Telescope ( LSST ), a National Science Foundation and Department of Energy project that will be based in Chile.

The Survey will image the entire visible sky every few nights, gathering data on billions of stars and how some of those stars change in brightness overtime.

Humans can't easily make sense of all this data. That is where machines, or in this case, computers using specialized algorithms can help out.

Training Period :

Before the machines can learn, scientists need a training period. Scientists started with 9000 stars as their training set. They obtained spectra for these stars, which revealed several of their basic properties....

Stars
Temperature
Heavy elements ( iron )

The varying brightness of stars had also been recorded by the Sloan Digital Sky survey, producing plots called " light curves ". By feeding the computer both sets of data, it could then make associations between the star properties and the light curves.

Scientists can discover and classify new types of stars without need of spectra, which are expensive and time consuming to obtain.


Comparison :

The technique essentially works in same way as Email Spam Filters. The spam filters are programmed to identify keywords associated with junk mail, and then remove the unwanted emails containing those words.

Similar way, the machine learning program becomes better at accurately predicting properties of the stars with addnl training from astronomers.

Goal :

The team's next goal is to get those computers smart enough to handle the more than 50 million variable stars that the LSST project will observe.

Adam Miller's Words :

He is the lead author of NASA's Jet Propulsion Laboratory in Pasadena, California.

He said, " With more information about the different kinds of stars in our Milkyway Galaxy, we can better map the Galaxy's Structure and History. This is exciting time to be applying advanced algorithms to astronomy ".

Final Words....!!!!

If you've any ideas... You can directly contact to the scientist. You can see the details below...

Whitney Clavin
Jet propulsion laboratory, Pasadena,
California.
Contact no: 818-354-4673
Email : whitney.clavin@jpl.nasa.gov