Tag Archives: atmospheric sciences

UW Bothell prof, students present crowd-funded study of coal train emissions

Atmospheric scientist Dan Jaffe tonight will present the first results of a crowd-funded study of train emissions, conducted with four undergraduates from the Seattle and Bothell campuses and funded by public donations.

Jaffe will present first results from the study in a public talk at 7 p.m. Monday, Nov. 4 at UW Bothell. The results measure the amount of small- and medium-sized particles released by different types of trains in Seattle and in the Columbia River Gorge. He will give a second, more technical presentation of the results at the UW Seattle campus Friday, Nov. 22 at 3:30 p.m. in Johnson Hall 75.

Read the full story here: http://www.washington.edu/news/2013/11/04/uw-bothell-prof-students-present-crowd-funded-study-of-coal-train-emissions/

Research Opportunity: Visualization and machine-aided interpretation of cloud patterns in satellite data

Con­tact Name: Robert Wood

Con­tact Email: robwood2[at]uw.edu

Depart­ment: Atmospheric Sciences

Descrip­tion:

Clouds have fascinated us for thousands of years. Behind their natural beauty lies a tremendous complexity that continues to elude complete theoretical understanding. The fundamental role that clouds play in the Earth’s climate system means that it is important that we search for better ways to understand and describe the processes than control their formation, maintenance, and dissipation.

Satellites have been providing a wealth of cloud imagery for decades, and yet our ability to use such data effectively remains very limited. The human eye is an exceptional but time-consuming tool for interpreting cloud structures in satellite data. The research project will examine techniques for improved display, visualization and machine-learning techniques to aid in the interpretation of clouds.

Hours are flexible but to move forward, I would like to find a student who can commit at least 15 hours per week.

Require­ments:

The student should have expertise/skills in one or more of the following: computer visualization techniques, computer programming, neural network design. An understanding of atmospheric sciences is not necessary, but a desire to learn about the field would be very helpful. Students majoring in computer science or a related field would be ideal.

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