On the Road with NOAA As They Face Uncertainty in Their Agency and the Weather – Rolling Stone

On the Road with NOAA As They Face Uncertainty in Their Agency and the Weather – Rolling Stone

 

Advancing Sustainable Development Goals Through Severe Weather Research: A Report on Tornado Prediction and Mitigation Efforts

Research into the formation and behavior of tornadoes is a critical component of national and global strategies to enhance community resilience, mitigate climate-related hazards, and protect human life. The work conducted by the National Oceanic and Atmospheric Administration’s (NOAA) National Severe Storms Laboratory (NSSL) directly supports the achievement of several United Nations Sustainable Development Goals (SDGs), particularly those focused on building safe, resilient communities and taking urgent action to combat climate change.

Scientific Innovation and Resilient Infrastructure (SDG 9)

A fundamental challenge in severe weather science is the incomplete understanding of tornadogenesis. To address this knowledge gap, NSSL’s LIFT (Low-Level Internal Flows in Tornadoes) project is a multiyear field experiment designed to collect critical data on tornado formation. This initiative is a prime example of advancing scientific research and technological capabilities as outlined in SDG 9.

  • Objective: The project aims to gather information on the lowest 20 meters of a tornado, known as the “damage layer,” to improve prediction models and warning systems.
  • Technological Innovation: The LIFT team utilizes a suite of advanced, mobile instruments to get within miles of active tornadoes, including:
    1. Mobile mesonets to track temperature, pressure, and wind speed.
    2. Mobile Doppler LiDAR for horizontal scans of low-level wind fields.
    3. Customized trucks with high-speed cameras and specialized lighting to analyze hail, a frequent precursor to tornadoes.

This investment in research and development is crucial for building resilient infrastructure (Target 9.1) and enhancing scientific research (Target 9.5) to withstand and predict extreme weather events.

Building Sustainable and Safe Communities (SDG 11)

The primary goal of tornado research is to reduce the loss of life and economic devastation caused by these disasters, directly aligning with SDG 11, which aims to make cities and human settlements inclusive, safe, resilient, and sustainable.

Progress in Disaster Risk Reduction (Target 11.5)

  • Reduced Fatalities: Over the past 40 years, innovations such as Doppler radar, developed through NSSL research, have contributed to a nearly 50% reduction in tornado-related deaths.
  • Improved Early Warnings: The average lead time for tornado warnings has increased from approximately five minutes in the 1980s to as much as 90 minutes in recent events, providing residents with critical time to seek shelter.
  • Economic Impact: Tornadoes result in billions of dollars in property, business, and agricultural losses annually. In the first half of 2025 alone, estimated damages surpassed $10 billion. Improved forecasting, like NOAA’s Hurricane Forecast Improvement Program which saves an estimated $5 billion per hurricane, demonstrates the significant economic benefit of such research.

Climate Action and Adaptive Capacity (SDG 13)

As climate change contributes to hotter and wetter atmospheric conditions, the patterns and intensity of extreme weather events are changing. Tornado research is essential for strengthening resilience and adaptive capacity to these climate-related hazards (Target 13.1).

Emerging Challenges

  • Shifting “Tornado Alley”: A 2018 study identified a significant upward trend in tornado frequency in the Southeast, Midwest, and Northeast. This shift moves the primary threat zone into more densely populated areas.
  • Increased Vulnerability: The Southeast, in particular, has a higher concentration of mobile and manufactured homes and fewer residences with basements, leaving populations more vulnerable to tornado damage and loss of life.

Adapting research methods to these new geographical and demographic realities is critical for improving education and early warning systems (Target 13.3) in previously less-affected regions.

Threats to Continued Progress and Partnerships (SDG 17)

Despite proven successes, the continuity of this life-saving research is under threat from proposed federal budget cuts and significant staffing reductions at NOAA. These challenges jeopardize the multi-stakeholder partnerships (Target 17.16) that are essential for scientific advancement.

Impact of Funding and Staffing Shortfalls

  • Interruption of Research: Proposed cuts to NOAA’s research division, the Office of Oceanic and Atmospheric Research, threaten to shutter critical laboratories like NSSL and interrupt over 30 years of continuous tornado-centric field projects.
  • Degradation of Data Quality: Staffing shortages have already led to a reported 17% reduction in weather balloon launches, creating “holes in the data” that undermine the accuracy of computer models and forecasts.
  • Delayed Assessments: Insufficient staffing at local National Weather Service offices has delayed post-disaster damage surveys, which are essential for accurately assigning EF-scale ratings and improving future building codes and risk models.

The interruption of long-term projects and partnerships with universities risks discarding decades of progress and compromising the nation’s ability to protect its citizens. Experts warn that such cuts could halt progress in weather prediction, leading to a future with increased risk and preventable loss of life, directly undermining the global commitment to the Sustainable Development Goals.

Analysis of Sustainable Development Goals in the Article

1. Which SDGs are addressed or connected to the issues highlighted in the article?

  • SDG 9: Industry, Innovation, and Infrastructure

    Explanation

    • The article heavily focuses on scientific research and technological innovation aimed at understanding and predicting tornadoes. It details the work of the National Oceanic and Atmospheric Administration (NOAA) and its National Severe Storms Laboratory (NSSL), highlighting projects like LIFT. It describes innovative infrastructure, such as “souped-up trucks” with “mobile Doppler LiDAR” and high-speed cameras, which are essential for data collection. The discussion about budget cuts threatening this research directly relates to investment in scientific innovation.
  • SDG 11: Sustainable Cities and Communities

    Explanation

    • The core purpose of the research discussed is to make human settlements safer and more resilient to natural disasters. The article explicitly quantifies the impact of tornadoes on communities, citing “dozens of deaths and billions of dollars in damages” annually. It discusses efforts to reduce these impacts, making a direct connection to creating sustainable and safe communities. The focus on vulnerable areas, such as the Southeast with its high concentration of mobile homes, further reinforces this link.
  • SDG 13: Climate Action

    Explanation

    • The article connects the increasing severity and challenges of weather prediction to climate change, stating that it “makes it hotter and wetter.” The research efforts by NOAA are presented as a crucial mechanism for strengthening resilience and adaptive capacity to these climate-related hazards. Improving early warning systems for tornadoes is a key component of climate action and adaptation.
  • SDG 17: Partnerships for the Goals

    Explanation

    • The article highlights the collaborative nature of the tornado research. It mentions that NOAA and NSSL are not working in isolation, citing partnerships with academic institutions: “Multiple universities study these storms, including Texas Tech University and the University of Oklahoma, both of which are partners on LIFT.” This demonstrates a multi-stakeholder partnership that mobilizes knowledge, expertise, and technology to achieve a common goal.

2. What specific targets under those SDGs can be identified based on the article’s content?

  1. Target 11.5: By 2030, significantly reduce the number of deaths and the number of people affected and substantially decrease the direct economic losses…caused by disasters…with a focus on protecting the poor and people in vulnerable situations.

    Explanation

    • The article directly addresses this target by quantifying the human and economic cost of tornadoes (“more than 60 people were killed by tornadoes, and insurers estimated tornado damages topped $10 billion”). It also highlights progress, noting that research and innovations have “almost halved the deaths from tornadoes” over the past 40 years. The mention of the Southeast, where housing stock leaves residents “more vulnerable to tornado damage,” aligns with the focus on protecting vulnerable populations.
  2. Target 13.1: Strengthen resilience and adaptive capacity to climate-related hazards and natural disasters in all countries.

    Explanation

    • The entire LIFT project and NOAA’s research are aimed at strengthening resilience to tornadoes, which are described as being influenced by climate change. By improving understanding and prediction, the research enhances the nation’s adaptive capacity to these extreme weather events.
  3. Target 9.5: Enhance scientific research, upgrade the technological capabilities…encouraging innovation and substantially increasing…public and private research and development spending.

    Explanation

    • This target is central to the article. The LIFT project is a clear example of enhancing scientific research. The text describes technological upgrades like Doppler radar, mobile LiDAR, and custom-built camera systems. The conflict over President Trump’s proposed budget, which calls for “cutting more than $1 billion in funding for the agency” and “scrapping the Office of Oceanic and Atmospheric Research,” is a direct discussion of public R&D spending.
  4. Target 11.b: …substantially increase the number of cities and human settlements adopting and implementing integrated policies and plans towards…resilience to disasters, and develop and implement…holistic disaster risk management at all levels.

    Explanation

    • The article provides a concrete example of implementing disaster risk management through improved early warning systems. It states that the average lead time for tornado alerts increased from “closer to five minutes” in the 1980s to “90 minutes before a tornado touched down” in a recent Texas event. This is a direct result of policies and plans based on scientific research.
  5. Target 17.16: Enhance the Global Partnership for Sustainable Development, complemented by multi-stakeholder partnerships that mobilize and share knowledge, expertise, technology and financial resources…

    Explanation

    • The article explicitly mentions the partnership between a public entity (NOAA) and academic institutions (“Texas Tech University and the University of Oklahoma, both of which are partners on LIFT”). This collaboration to share knowledge, technology (the research trucks), and expertise is a direct reflection of this target.

3. Are there any indicators mentioned or implied in the article that can be used to measure progress towards the identified targets?

  1. Indicator 11.5.1: Number of deaths, missing persons and directly affected persons attributed to disasters per 100,000 population.

    Explanation

    • The article provides direct data points for this indicator, such as “more than 60 people were killed by tornadoes” in the first half of 2025, “46 people were killed” in a 1999 outbreak, and “19 people dead” in a Kentucky tornado. It also notes a long-term reduction, stating research has “almost halved the deaths from tornadoes.”
  2. Indicator 11.5.2: Direct economic loss attributed to disasters.

    Explanation

    • The article explicitly mentions economic losses, stating that in early 2025, “insurers estimated tornado damages topped $10 billion.” It also quantifies the economic benefit of research, noting that the Hurricane Forecast Improvement Program “saves the federal government about $5 billion per hurricane.”
  3. Implied Indicator for Early Warning Effectiveness (related to 13.1 and 11.b): Lead time of early warnings for natural disasters.

    Explanation

    • The article provides a clear metric for progress in early warning systems. It contrasts the “average lead time…closer to five minutes” in the 1980s with a recent example where “residents received notice from forecasters 90 minutes before a tornado touched down.” This demonstrates a measurable improvement in disaster preparedness.
  4. Indicator 9.5.1: Research and development expenditure as a proportion of GDP.

    Explanation

    • While not providing a proportion of GDP, the article directly discusses R&D expenditure in absolute terms. It mentions the “proposed 2026 budget for NOAA called for cutting more than $1 billion in funding” and the fear that this will stop progress, directly tying funding levels to research outcomes.
  5. Indicator 9.5.2: Researchers (in full-time equivalent) per million inhabitants.

    Explanation

    • The article implies this indicator by discussing staffing levels at NOAA. It notes that due to cuts and attrition, “nearly 2,000 of the agency’s staff of 12,000 were gone, with more than 3,000 open vacancies listed.” This directly addresses the human resources available for research and forecasting.

4. Table of SDGs, Targets, and Indicators

SDGs Targets Indicators Identified in Article
SDG 11: Sustainable Cities and Communities 11.5: Reduce deaths and economic losses from disasters.

11.b: Implement holistic disaster risk management.

11.5.1: Number of deaths from tornadoes (e.g., “more than 60 people were killed”).

11.5.2: Direct economic losses from tornadoes (e.g., “damages topped $10 billion”).

Implied: Increase in early warning lead time (from 5 to 90 minutes).

SDG 13: Climate Action 13.1: Strengthen resilience and adaptive capacity to climate-related hazards. Implied: Development and implementation of advanced forecasting and data collection systems (LIFT project, Doppler LiDAR) to adapt to severe weather events exacerbated by climate change.
SDG 9: Industry, Innovation, and Infrastructure 9.5: Enhance scientific research and upgrade technological capabilities. 9.5.1: R&D expenditure (e.g., discussion of proposed “$1 billion in funding” cuts to NOAA).

9.5.2: Number of researchers (e.g., discussion of NOAA staffing cuts, “nearly 2,000 of the agency’s staff of 12,000 were gone”).

SDG 17: Partnerships for the Goals 17.16: Enhance multi-stakeholder partnerships that share knowledge and technology. Implied: Existence of partnerships between public agencies and academia (e.g., “NOAA…partners on LIFT” with “Texas Tech University and the University of Oklahoma”).

Source: rollingstone.com