Welcome to Waterviz
A Water Cycle Visualization Tool at the Hubbard Brook Experimental Forest
The data in this visualization accurately reflect water moving through a small forested watershed in New Hampshire, USA right now. The number in the v-notch is current stream flow in mm/hour. Click on the visualization key below for an explanation of the graphic elements and hear the data as music via Internet Radio on our Listen In page.
We invite you to explore Waterviz and learn more about the science and art behind our project.
The background image is a painting of water at Hubbard Brook by Xavier Cortada. Moving particles animate different sections of the painting which represent different flows within the water cycle. The number of particles and speed with which they move are directly proportional to the data generated by environmental sensors in the Hubbard Brook. Starting from the bottom, the purple shapes represent soil water; the particles flowing from left to right in the middle of the painting are stream flow; the particles rising from the surface of the stream represent evaporation; the particles rising from the surface of the vegetation are transpiration; the particles seen occasionally in the upper left hand quadrant are precipitation (as rain and snow); and in the winter, the snowpack can be seen growing and shrinking in proportion to actual snow depth.
The data that drives Waterviz comes from a variety of sensors installed at Hubbard Brook. An hourly processing routine gathers data from the different sensor files, merges these data, and updates the Waterviz database. More than a dozen measurements are used for Waterviz and related data visualization and sonification. This table shows a subset of the most recent hour of data available.
This graph shows water input and output from the system. Water input is measured by precipitation sensors, and water output is the sum of stream discharge and evapotranspiration (modeled from air temperature, relative humidity, wind speed, solar radiation, and barometric pressure).