WunderWeather & Python, Lightning talks @AGU, Google SOC, and more!Highlights from your favorite Virtual Earth Science Lab. 

ESIP Lab September Update
Highlights from your favorite Earth science virtual lab! 

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NOTE: Congratulations to our two exceptional students, Harman Deep Singh and Abhishek Singh, for successfully completing Google Summer of Code. Mentored by ESIP community members Rich Signell (USGS) and Jesse Lopez (Axoim Data Science) the students made significant contributions to the open-source and Earth science communities. Signell noted of H. Deep Singh, “the xrviz tool he created will continue to be maintained, enhanced, and used as a foundational layer by the open-source community,” while Lopez noted of A. Singh “he developed a high-performing model that correctly identifies killer whale calls from passive acoustic data with far high accuracy (>98% vs. 60%) than the legacy method currently used by the research community.” Congrats again and we look forward to GSOC 2020!

Annie Burgess
Director, ESIP Lab


1. Ignite at the AGU Fall Meeting
2. Curious about ESIP Lab Funded Projects?
3. Phi Week ESIP Lab Video
4. WunderWeather: Access the Weather Underground API with Python

Ignite at the 2019 AGU Fall Meeting

The popular science storytelling event Ignite@AGU is returning to the 2019 American Geophysical Union Fall Meeting in San Francisco, CA. Sponsored by NASA’s Applied Sciences Program and held in partnership with ESIP, the event enables scientists to showcase their professional and personal interests through fast-moving, creative presentations.

When: Wednesday, December 11th from 6-8:30 pm
Format: 5 minute talk – 20 auto advancing slides
Submission Deadline: October 18th
Announcement of Selected Talks: November 1st

Be bold – it’s the best stage all week!

Learn more at: https://www.esipfed.org/igniteAGU2019

Curious about ESIP Lab Funded Projects?

While ESIP Lab small grant recipient come from a variety of scientific disciplines, they have the common goal of building prototype solutions to pressing technical challenges. Check out a few of our Lab-funded projects at https://www.esipfed.org/lab.  

Phi Week ESIP Lab Video

Annie Burgess, director of the ESIP Lab, is at ESA's Phi Week this week. Check out this short video preview of what she'll be chatting about. 

WunderWeather: Access the Weather Underground API with Python 

Lab Fellow Ben Roberts-Pierel highlights one of his favorite data exploration tools

Many of us use Weather Underground daily to check the weather. For anybody unaware, Weather Underground incorporates data from a wide variety of sources, including hundreds of thousands of dispersed weather stations, precipitation and temperature gauges, many maintained by citizen scientists. In this context, I have been curious about accessing some of these data. Like many other readers I assume, I am frequently looking for streamlined ways of collecting environmental sensor/monitoring data in a programming interface. Following this thread, this month I will highlight another Python package that does just this. The WunderWeather package is designed to allow the user to interact directly with the Weather Underground API via a Python interface. This package provides a wrapper for the API and has functionality to easily access commonly used parameters such as temperature, precipitation and weather alerts. The package allows the user to get current conditions or historical data from myriad sources and easily incorporate into app development, broader Python modules or other workflows. The project is described at: https://pypi.org/project/WunderWeather/#id7 where some limited examples are provided. The library relies on the requests package and was built in Python 3.5, so it is not back compatible with 2.7. 

In case people are unfamiliar with the Weather Underground model or are interested in joining the sensor network that is available here: https://www.wunderground.com/pws/overview

ESIP is funded with support from NASA, NOAA, and the USGS. 
Keep up on all the action on Slack – here is your INVITATION!

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