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3 Ways Big Data, Supercomputing Change Weather Forecasting
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Lorna Garey
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Lorna Garey,
User Rank: Author
6/10/2014 | 4:22:46 PM
Re: Advice for now
I am an editor for IW - so, my interest is purely theoretical at this point! However, given climate change, I can definitely see the value of being able to predict severe weather with greater accuracy.
Per Nyberg
IW Pick
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Per Nyberg,
User Rank: Apprentice
6/10/2014 | 2:09:31 PM
Re: Advice for now
Hi Lorna, Good question.   I think it depends on a number of factors including the level of in-house expertise, business area, complexity of your business model and geographic location of your business.    As this is a growing industry, the range of services and service providers varies greatly by vertical industry and location.   A good place to start is always with your national meteorological and hydrological service, along with any state and local government agencies.   Many government organizations have business outreach programs or relationships with organizations in the private sector that can work with business.   For example, NOAA in the U.S. has such information on their Industrial Meteorology page (http://www.nws.noaa.gov/im/).     There are some good conferences that focus on technology and services aspects.  InterMET Asia was recently held in Singapore and the Meteorological Technology World Expo will be held in Brussels, 21-23 October.    Cray participated and presented on big data at InterMET and we will also participate at Met Expo.
Weather Analytics
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Weather Analytics,
User Rank: Apprentice
6/10/2014 | 1:26:06 PM
Re: Advice for now
Hey Lorna,

We see lots of different applications and approaches to accessing and using weather data.  The benefit of a structured and scrubbed database is that no extended services or customized product tools are necessary.  Through some of our reporting tools and web-based map platforms, it's easy to get data across the globe and throughout 34 years of history (as well as current and forecast conditions).  Secondly, in relation to distribution modeling, pulling data through an API makes running historic analysis and live predicitive analytics much faster and easier - and can be done on an in-house platform or product.

What kind of projects are you working on?

Cheers!
Gary_EL
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Gary_EL,
User Rank: Ninja
6/9/2014 | 1:06:08 PM
Weather predicting is getting better and better
I can remember, not all that long ago, when I never biothered to listen to weather forecasts because they were usually wrong. Not so any more. Has this process of improvement reached it's limit, or can we expect continued improvement?
Lorna Garey
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Lorna Garey,
User Rank: Author
6/9/2014 | 11:25:32 AM
Advice for now
Per, Say a company wanted to start tapping into advanced predictive weather info now to adjust its distribution models. What's the first step? Are specialized service providers the only route for most companies, or could an advanced IT team implement in-house using APIs?


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