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29 April 2016
April Data Digest
Three stories published during April describe the ways remotely sensed data and machine learning are changing how Earth is studied and understood; while a fourth shows the beauty of our planet through images captured by one of the satellites imaging the Earth.
22 April 2016
Data from the masses: Crowdsourcing and citizen science enhance the scientific process
Witness a landslide, feel an earthquake or observe the first buds of spring? Take out your cell phone and report a data point.
19 April 2016
Standards dramatically advance streamflow and flood forecasting in the U.S. and elsewhere
his is a story about how water data standards, computational hard work, high-performance computing, serendipity and synergy led to an operational capability for nationwide forecasting of streamflow and flooding at high-resolution, in near-real-time. This has been evolving for several years now, but has gone into hyper-drive in just the last couple years.
12 April 2016
The University of Washington’s eScience Institute, a unique environment for geospatial data science education
Earth scientists can choose from an ever-increasing array of datasets when they set out to study our changing planet. Every year, advances in remote sensing and sensor network technologies increase in resolution, streaming data to us on demand, in real time. If you’re like me, you find this new era of discovery exhilarating but also overwhelming. How will I ever find the time to learn the software and cloud technologies needed to keep up with this flow of new information?
18 March 2016
New findings from the New Horizons mission show Pluto is ‘really crazy’
Whether or not you believe Pluto should be called a planet, you should still be awed by the initial findings from the data the spacecraft New Horizons collected during its flyby of the dwarf planet last July. The seven science instruments aboard New Horizons gathered nearly 50 gigabits of data on the spacecraft’s digital recorders. Much of this data is still streaming back to Earth, but preliminary data and observations were published this week in the journal Science.
7 March 2016
Problematics for science leadership in a data-rich, open-science world
Across three and a half centuries the academy has built a solid reputation system that informs credentials for science leadership. As global science moves into an open data-, open-access mode, what changes might occur to this system? In the future how will the academy recognize and reward great scientific works and career achievements?
3 March 2016
Open data: Creating a culture of transparency and reproducibility in science
An article published today in Science urges stakeholders in the field sciences—funders, researchers, publishers and data repositories—to promote open, reproducible science through the sharing of all data and materials. Allowing research results to be replicated and data to be reused fosters innovation, high-quality research and public confidence in science. There are considerable benefits for scientists who make their data open too.
26 February 2016
[email protected]: Setting geoscience on fire
The popular science storytelling event [email protected] returned to the 2015 American Geophysical Union (AGU) Fall Meeting in San Francisco, CA last December. Sponsored by the NASA Applied Sciences Program and held in partnership with the Federation of Earth Science Information Partners (ESIP) and AGU’s Earth and Space Science Informatics (ESSI) Focus Group, the event featured 13 scientists sharing ideas and stories that made the audience laugh, cry and better understand our world.
18 February 2016
How the VIIRS “Blue Marble” image came about
Norman Kuring created the 2012 ‘Blue Marble’ image, an incredibly detailed, true-color image of Earth that’s featured in a new series of U.S. Postal Service space-themed stamps. Here, he describes the creation of this composite image taken with a number of swaths of the Earth’s surface on January 4, 2012.
10 February 2016
Turning climate data into art
Artist and scientist Jill Pelto turns climate data into watercolors, making visible the grim effects of climate change on forests, marine ecosystems and glaciers.