Authors: Daniel Ahrndsen; Anne Günther
Code name: practical planarian
Tag: Applications and impact
Summary: Showcases how climate science predicts and helps adapt to different extreme weather events (blizzards, floods, wildfires). Takes into account a participant’s state and addresses the extreme weather event most common in that state.
Content:
I. STIMULUS CASE ASSIGNMENT LOGIC Case 1 – “states with high or recurrent flood risk” Alabama, Arkansas, Delaware, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maryland, Mississippi, Missouri, Nebraska, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Virginia, West Virginia, Washington D.C.
Case 2 – “states with high or increasing wildfire risk” Alaska, Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, Wyoming, Hawaii
Case 3 – ”states with severe cold, snow, ice, or blizzards” Connecticut, Maine, Massachusetts, Michigan, Minnesota, New Hampshire, New Jersey, New York, Rhode Island, Vermont, Wisconsin
Case 4 – Fallback for participants not reporting their home state
- STIMULUS Intervention page 1 Which U.S. state do you currently live in? (You may choose not to answer. If so, please select “Prefer not to say.”) Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Washington, D.C. Prefer not to say
Intervention Page 2
IF state=”Prefer not to say”: You are living in the United States, a country facing risks by more and more extreme weather events. Please read the text on the following page carefully. It describes a real project in the U.S., working particularly on reducing the risks from these hazards by helping communities prepare for extreme weather.
ELSE: You reported that you are currently living in [STATE], one of several [CASE]. Please read the text on the following page carefully. It describes a real project in the U.S., working particularly on reducing the risks from these hazards by helping communities prepare for extreme weather.
Intervention page 3
Case 1 Predicting Floods Before They Strike In many parts of the United States, floods have become a very real and nearby threat. Heavy rainfall that overwhelms drainage systems or causes rivers to rise can happen quickly and without obvious warning. Flash floods and river floods have caused damage to homes, road closures, power outages, and even loss of life. Events like the 2025 Central Texas floods showed that dangerous floods can strike almost anywhere. For many families, these events are no longer something that happens “somewhere else” – they happen close to home. To help communities prepare, climate scientists at the National Severe Storms Laboratory (NSSL), part of the National Oceanic and Atmospheric Administration (NOAA), work on improving how floods and flash floods are predicted and warned against. They study heavy rainfall and use radar and sensor data to estimate how much rain will fall and where flooding is likely to happen. This research supports forecasting tools such as the Multi-Radar Multi-Sensor system and the FLASH flash-flood model, which help forecasters issue earlier and more accurate flood warnings. For these tools, climate researchers combine data from radar, satellites, and rain gauges, to show how rain is spreading and how water may move across the ground. This gives National Weather Service forecasters better information to send flood watches and warnings, giving people, emergency services, and local officials more time to prepare before dangerous water arrives. Together, this work shows how climate scientists, working alongside forecasters, are improving flood forecasts and early-warning systems – helping protect communities by giving them earlier and more reliable warnings.
Case 2 Detecting Wildfires Before They Spread In many parts of the United States, wildfires have become a very real and nearby threat. Fire seasons that once lasted a few weeks now stretch across several months, and even regions that rarely burned before are now facing fast-moving blazes. Wildfires have erased homes, and even caused loss of life. Events like the January 2025 Southern California wildfires showed that, in addition to dangers posed by flames, smoke and ash can travel hundreds of miles, turning skies orange and threatening people’s health. For many families, wildfires are no longer something that happens “somewhere else” – they happen close to home. To help communities prepare, climate scientists from the U.S. Department of Homeland Security and NASA are developing new early-detection systems that can spot wildfires minutes after they begin. Using satellite images, heat sensors, and artificial-intelligence models, these systems detect the first signs of smoke or fire and alert local emergency managers right away. Their work has already helped firefighters in several western states reach ignition sites faster and prevent small blazes from becoming major disasters. Climate researchers are also improving forecasts that show where and when dangerous fire conditions are likely to develop. This gives park rangers, energy companies, and residents more time to clear vegetation, secure equipment, or plan evacuations before a fire starts. Together, this work shows how climate scientists, working alongside forecasters, are improving wildfire forecasts and early-warning systems – helping protect communities by giving them earlier and more reliable warnings.
Case 3 Forecasting Winter Storms Before They Strike In many parts of the United States, severe winter storms have become a very real and nearby threat. Heavy snowfall, freezing rain, and sudden cold snaps have caused power outages, road closures, and even loss of life. Events like the 2021 Texas freeze and the 2022 Buffalo blizzard showed that dangerous winter weather can strike almost anywhere. For many families, these storms are no longer something that happens “somewhere else” – they happen close to home. To help communities prepare, climate scientists at the National Weather Service and several U.S. universities are developing new forecasting systems that can predict blizzards and extreme cold days to weeks in advance. Using satellite data, radar observations, and high-resolution climate models, they identify patterns in the atmosphere that signal when and where dangerous storms are likely to form. Their work has already helped local authorities issue warnings earlier and protect residents and infrastructure before conditions worsen. Climate researchers are also working with city planners and emergency agencies to translate forecasts into concrete actions – salting roads, securing power lines, or warning schools and hospitals in time to prepare. Together, this work shows how climate scientists, working alongside forecasters, are improving winter storm forecasts and early-warning systems – helping to protect communities by giving them earlier and more reliable warnings.
Case 4 Improving Warnings for Extreme Weather Before It Strikes In many parts of the United States, extreme weather events have become a very real and nearby threat. Heavy rain, flash floods, wildfires, and winter storms can damage homes and roads, and sometimes even lead to loss of life. Recent outbreaks of extreme weather have shown that dangerous conditions can arise with little time to react. For many families, these events are no longer something that happens “somewhere else” – they happen close to home. To help communities prepare, climate scientists at NOAA’s Hazardous Weather Testbed conduct research to improve how severe and hazardous weather is detected, analyzed, and warned against. In this testbed, researchers and operational National Weather Service forecasters work side by side to evaluate new tools, data, and warning technologies in a setting that closely mimics real forecasting offices. They test experimental radar, satellite, and modeling products during both live weather events and archived cases to see how these innovations perform in practice. Climate researchers are refining systems that support faster, clearer, and more reliable warnings for extreme weather. By bringing together researchers, forecasters, and sometimes emergency managers, the Testbed helps ensure that new scientific advances are usable in real-world operations and truly meet the needs of those who protect the public. Together, this work shows how climate scientists, working alongside forecasters, are improving extreme weather forecasts and early-warning systems – helping protect communities by giving them earlier and more reliable warnings this season and in the years ahead. References [not displayed to participants]
Case 1 is based on NSSL (n.d.). “NSSL Research: Flooding”. https://www.nssl.noaa.gov/research/flood/ Case 2 is based on DHS Science & Technology Directorate (2025). “Technology to Reduce the Impacts of Wildfires”. https://www.gao.gov/products/gao-25-108161 Case 3 is based on Novak, D.R. (2023). “Innovations in Winter Storm Forecasting and Decision Support”. American Meteorological Society. https://doi.org/10.1175/BAMS-D-22-0065.1 Case 4 is based on Calhoun, K. M., Berry, K. L., Kingfield, D. M., Meyer, T., Krocak, M. J., Smith, T. M., Stumpf, G., & Gerard, A. (2021). “The Experimental Warning Program of NOAA’s Hazardous Weather Testbed.” Bulletin of the American Meteorological Society, 102(12), E2229-E2246. https://doi.org/10.1175/BAMS-D-21-0017.1
Risk categories [not displayed to participants]
Federal Emergency Management Agency (2025). FEMA National Risk Index Data v 1.20.0 [Dataset]. U.S. Department of Homeland Security. https://www.fema.gov/flood-maps/products-tools/national-risk-index Federal Emergency Management Agency (2025). National Flood Hazard Layer (NFHL) [GIS dataset]. U.S. Department of Homeland Security. https://www.fema.gov/flood-maps/national-flood-hazard-layer U.S. Department of Agriculture, Forest Service (2025). Wildfire Risk to Communities [Dataset]. https://wildfirerisk.org
Social class
From American National Election Studies.
How would you describe your social class?