Posts under tag: visualization
NASA released a new visualization of storms that took place in 2014 gathered from the Global Precipitation Measurement Core Observatory–a satellite network created with the Japan Aerospace Exploration Agency (JAXA)–that provides near real-time precipitation data covering most of the planet.
One of the stated goals of this project is to assist emergency management teams in issuing evacuation notices with the data to back it up.
For more information, check out the press release from NASA’s Goddard Space Flight Center
Visualizations like this one are done here at CASIT through the ACISS cluster managed by our Research Support Services team. For more information about their work, please check out their website.
Over the past weekend, the Mid-Atlantic, New England, and parts of Ontario and Quebec was delivered a massive amount of snow — but not as much as was predicted. FiveThirtyEight.com posted a series of articles on that powerful storm as it arrived and departed the area and were left trying to answer why the prediction models weren’t consistent or in some cases correct.
On the approach of the storm, there were four different weather models used by meteorologists to predict that New York City could get as much as eighteen inches of snow when at actually they received no more than ten (9.8″ measured in Central Park). There are multiple reasons for the variance between models like computational power for the models, the frequency and volume of data gathered, and lack of communication on the margin of error of the forecast.
For more information, check out these articles from FiveThirtyEight.com:
Additionally, CASIT’s Research Support Services (RSS) has data visualization capability for UO programs. For more information about their services and offerings, click here.