Visualization

submitted by Carrie La Jeunesse

In this example, time-series data for the USGS station at Jacobs Well near Wimberley, Texas (https://waterdata.usgs.gov/nwis/uv?site_no=08170990) is shown from January 9 through 29, 2017. The GWIS plot shows both streamflow and specific conductance in the graph. Double y-axes are used showing how specific conductance changes as streamflow increases.

usgs.gov - February 8, 2017

A new JavaScript library, called GWIS (Graphing Water Information System), can create time-series plots of information measured at U.S. Geological Survey hydrologic data collection sites across the United States.

Developed by the USGS Texas Water Science Center, the user-friendly interface integrates the open-source dygraphs JavaScript charting library with hydrologic data provided by USGS water services.

Image: NASA's GRACE satellites (artist's concept) measured Atlantic Ocean bottom pressure as an indicator of deep ocean current speed. In 2009, this pattern of above-average (blue) and below-average (red) seafloor pressure revealed a temporary slowing of the deep currents. Image credit: NASA/JPL-Caltech

jpl.nasa.gov - November 2nd, 2015

A team of NASA and university scientists has developed a new way to use satellite measurements to track changes in Atlantic Ocean currents, which are a driving force in global climate. The finding opens a path to better monitoring and understanding of how ocean circulation is changing and what the changes may mean for future climate.

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Video: Video explaining the Aclima/Google Map partnership

theverge.com - July 29th, 2015 - Jacob Kastrenakes

A small number of Google Street View cars are recording more than photos of the road — they're also taking snapshots of the air quality around them. Aclima, a company that creates networks of environmental sensors, announced this week that it's been working with Google to put air quality detectors on some of its cars. The sensors allow Google's vehicles to pick up information on carbon dioxide, methane, black carbon, particulate matter, and other pollutants on a block-by-block basis.

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