Market Overview

Understory Announces Partnership with Center for Collaborative Adaptive Sensing of the Atmosphere Program


CASA's City Warn™ project unites private and public weather
networks in North Texas

1000+ first responders and emergency managers in 50 Dallas-Fort
Worth locations involved in pilot initiative

the weather network and analytics company, today announced its
partnership with University of Massachusetts Amherst and Colorado State
University, lead institutions for the Engineering
Research Center for Collaborative Adaptive Sensing of the Atmosphere
. CASA's City Warn™ project is funded by the National Science
Foundation and has created a "Living Lab for Severe Weather Warning
Systems in North Central Texas." By contributing on-the-ground insights
from its sensor network, Understory is providing critical data in Texas
to close weather observation gaps in real-time to support more accurate
forecasting and facilitate quicker resource allocation in the case of a
severe weather event.

"Understory is able to contribute AI-driven proprietary data to CASA's
pilot project, which seeks to revolutionize the human ability to
observe, understand, predict and respond to hazardous weather," said
Alex Kubicek, CEO of Understory. "Our in-situ station measurements, in
conjunction with more traditional, radar-based networks create a
holistic picture of weather as it unfolds, enabling first responders and
emergency managers to make quicker decisions."

"Our goal is to a provide a complete and ongoing weather picture
utilizing different types of information from individual sensors to
coordinated networks, radars to barometers," said Brenda Philips, CASA's
Co-Director, UMass Amherst. "In this program, we are bringing together
environmental data providers with local community users in a
public-private partnership model to close weather observation gaps and
drive more efficient and effective responses to weather events."

"Having access to hail data from the Understory sensors helps us to
validate measurements made by our gap-filling X-band CASA radars, and to
create better hail forecasting algorithms," said Prof. V. Chandrasekar,
lead scientist from Colorado State University, a partnering academic
institution. Other participants of the pilot include the National
Weather Service and the North Central Texas Council of Governments
(NCTCOG), DFW Emergency Managers and Public Safety Officials.

To learn more about the project, please visit:

For further information about Understory, please visit:

About Understory

Understory analyzes and processes the data it collects to create
real-time datasets, views, and actionable information from historical,
current, and forecasted weather events to provide better insight and
early detection of risks. Understory's composite of granular weather
data has applications across a variety of markets, including
broadcasting, agriculture, forecasting, and risk mitigation. For more
information, visit

About the Collaborative Adaptive Sensing of the Atmosphere Program

CASA is a multi-sector partnership among academia, industry and
government dedicated to engineering revolutionary weather-sensing
networks. These innovative networks will save lives and property by
detecting the region of the lower atmosphere currently below
conventional radar range - mapping storms, winds, rain, temperature,
humidity, and the flow of airborne hazards. Established in 2003 as a
prestigious National Science Foundation Engineering Center with over $40
million in federal, university, industry and state funding, the Center
brings together a multidisciplinary group of engineers, computer
scientists, meteorologists, sociologists, graduate and undergraduate
students, as well as industry and government partners to conduct
fundamental research, develop enabling technology, and deploy prototype
engineering systems based on a new paradigm: Distributed Collaborative
Adaptive Sensing (DCAS) networks. Since 2010, the work of CASA has been
supported by the Jerome M. Paros Fund for Measurement and Environmental
Sciences Research. For more information, visit

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