The NOAA's National Severe Storms Laboratory (NSSL) utilizes cutting-edge technology like the Phased Array Radar (PAR) for weather research. Unlike traditional radar systems, PAR offers swift, detailed, and adaptable observations of severe weather by employing electronic beam steering for rapid data collection. This innovation enables updates in seconds rather than minutes, enhancing the accuracy and timeliness of severe weather monitoring. In addition to its pivotal role in detecting severe thunderstorms and tornadoes, radar plays a crucial part in monitoring fire weather conditions. Given the significant risks wildfires pose to both lives and property, weather elements like strong winds, dry air, and sudden wind shifts can swiftly alter fire behavior. Forecasters leverage radar to identify these critical factors, providing real-time information on fire-induced plumes, smoke dispersion, and wind variations that can intensify wildfire threats. #severeweather #fireweather #phasedarrayradar #PAR #NOAA #NSSL https://lnkd.in/gP3yEHHQ
How to monitor severe weather disruptions
Explore top LinkedIn content from expert professionals.
Summary
Monitoring severe weather disruptions involves using advanced tools and real-time data to predict and track extreme weather events that could impact communities, businesses, and infrastructure. This process helps organizations and individuals make informed decisions to minimize risk and respond swiftly to emergencies.
- Use real-time platforms: Stay updated with apps and online dashboards that provide live weather alerts and threat assessments for your area or business operations.
- Leverage radar and satellites: Follow insights from radar systems and satellite imaging, which can track storms, floods, and wildfires even in challenging conditions.
- Act on forecast data: Set up automated alerts and review risk scores so you can prepare evacuation plans or protective measures ahead of severe weather events.
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Flooding in Western France: Insights from Sentinel-1 SAR Data 🛰️ Storm Herminia has left a trail of devastation across western France, with unprecedented rainfall causing severe flooding in regions like Parc naturel régional de Brière. The Sentinel-1 Synthetic Aperture Radar (SAR) satellite, part of the EU’s Copernicus program, has been instrumental in monitoring and assessing these floods. 📅 On 30 January 2025, Sentinel-1 SAR captured extensive flooding in the Brière region, providing critical data for disaster response and recovery efforts. Why Sentinel-1 SAR is a Game-Changer for Flood Monitoring: All-Weather Capability: Unlike optical satellites, SAR can penetrate clouds and operate day or night, making it ideal for monitoring floods during storms. High-Resolution Mapping: SAR provides detailed imagery that can assess flood extents at both regional and local scales, enabling precise damage assessment. Rapid Response: Near-real-time data allows emergency services to prioritize rescue efforts and allocate resources effectively. Quantitative Analysis: SAR can measure floodwater depth and track changes over time, aiding in recovery planning and risk mitigation. Key Findings from Sentinel-1 SAR Imagery: Parc naturel régional de Brière: The data revealed extensive inundation, with floodwaters surpassing historical levels. Vilaine and Seiche Rivers: Flood levels exceeded those of the 1995 and 1966 floods, respectively, highlighting the severity of the event. Climate Context: This event underscores the growing intensity of weather patterns linked to climate change. The accumulation of rainfall in January 2025 was unprecedented, with some areas receiving three times the average rainfall for the month. Applications for Disaster Management: Situational Awareness: SAR imagery helps authorities identify the most affected areas and plan evacuation routes. Infrastructure Monitoring: Damage to roads, bridges, and other critical infrastructure can be detected and addressed promptly. Risk Assessment: By comparing current flood extents with historical data, SAR aids in predicting future flood risks and improving resilience. 🌍 As climate change continues to influence extreme weather events, advanced remote sensing technologies like SAR will be essential for safeguarding vulnerable communities and building climate resilience. #FloodMonitoring #Sentinel1 #SAR #DisasterManagement #ClimateChange #RemoteSensing #FranceFloods #ClimateResilience #CopernicusProgram
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Tomorrow.io is revolutionizing global precipitation forecasting! Tomorrow.io’s NextGen platform now delivers our satellite-based global precipitation coverage with 5km resolution, updated every 5 minutes, filling critical radar gaps and providing 30 additional minutes of lead time for extreme weather events. What does this mean? ▪️Expanded Coverage – Closing radar blind spots, including areas where 27% of North America had poor or no radar. ▪️Improved Accuracy – 10% more accurate forecasts, validated against top industry benchmarks ▪️ Extended Warning Time – 30 more minutes to prepare for severe weather impacts, enabling proactive decisions that reduce risk. For industries like aviation, rail, supply chain, and insurance, this breakthrough represents billions in potential savings through better resilience planning. This isn’t just better forecasting. It’s a fundamental shift in how organizations prepare for and respond to weather impacts—with real-time, actionable insights that save time, money, and lives. Watch below as our satellite data reveals precipitation patterns during Hurricane Milton that traditional methods miss. The right panel shows how our enhanced detection capability persists even after the satellite pass, giving organizations crucial extra time to prepare. Learn more: https://okt.to/OJ6ID4 #WeatherIntelligence #BuildingResilience #InnovationForImpact
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⛈️ Severe weather is expected to impact critical supply chains, transportation, and business operations over the next 24-48 hours across parts of the US and Mexico. Here are 3 disruptive weather events the WeatherOptics Impact Intelligence Platform is monitoring today: ⚡ 1. Severe Weather Outbreak – Ohio Valley: Tornadoes, damaging winds, and large hail are expected across KS, IL, IN, KY, OH, and MI. Major logistics hubs like Chicago, Indianapolis, and Louisville face potential operational disruptions, delivery delays and facility safety risks. 🌀 2. Hurricane Erick – Eastern Pacific / Mexico: Rapid intensification is expected before landfall tomorrow in southern Mexico. Life-threatening flooding, mudslides, and storm surge are likely in Oaxaca and Guerrero. Businesses with assets or suppliers in this region need immediate contingency plans. 🌊 3. Flash Flood Risk – Western KY & TN Slow-moving storms may bring several inches of rain, triggering localized flash-flooding. Repeated downpours could impact ground transport and facility access. With WeatherOptics, companies monitor these threats in real-time and days before they happen using: → Impact Risk Scores for every asset, route, and location → Critical Event Briefings tuned for business relevance → Automated Monitoring & Alerting across fleets, facilities, and supply chain nodes We help teams move from reactive to proactive. Weather is an operational risk. Make sure your business is equipped to manage it: https://lnkd.in/dQfHmyxV
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⛈️ Weather prediction is powerful – and it saves lives. The chart below shows NOAA’s HRRR model forecast for July 21st in Overland Park, KS. Sadly, one life was lost during this catastrophic flooding event. What’s striking, though, is how accurately the model captured the rainfall volume and timing compared physical raingage data. 👉 The HRRR model provided a 2 hour lead time, showing cumulative rainfall climbing sharply before the storm hit. 👉 Like most models, it sometimes slightly underpredicts or overpredicts rainfall. But overall, it was within 3 hours of the actual event – a remarkable level of precision. 👉 For emergency management, stormwater operations, and city planning, this kind of accuracy is invaluable. At NEER, we provide a Weather API that can automatically pull this NOAA forecast data. Imagine what this means: Automated alerts for high-risk rainfall events. Better calibration of sewer and stormwater models. Data-driven decisions that help protect communities. Severe weather will always be a challenge. But with the right tools, we can turn accurate forecasts into timely action – and prevent future tragedies.