Climate monitoring and weather warning systems

As of July 9, 2024, the 🇺🇸 has faced 15 confirmed weather/climate disaster events, each causing over $1 billion in losses. These events included 13 severe storms and 2 winter storms, resulting in the tragic loss of 106 lives and significant economic impacts. For comparison, the annual average from 1980–2023 was 8.5 events, but the average for the past 5 years (2019–2023) has surged to 20.4 events. The #EarlyWarningforAll initiative provides early warning systems globally to save lives and reduce damage. This initiative, supported by the World Meteorological Organization (WMO) United Nations Office for Disaster Risk Reduction (UNDRR), International Telecommunication Union (ITU), and the International Federation of Red Cross and Red Crescent Societies - IFRC, focuses on four essential pillars: disaster risk knowledge, detection and forecasting, warning dissemination and communication, and preparedness and response capabilities. Early warning systems are proven to be cost-effective, providing more than a tenfold return on investment. For instance, giving just 24 hours’ notice of an impending hazardous event can reduce damage by 30%. The initiative aims to have these systems in place worldwide by 2027, particularly focusing on vulnerable regions such as Small Island Developing States and Least Developed Countries, where the death toll from climate disasters is disproportionately high. https://lnkd.in/d3bDaUBe

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

Climate Information and Early Warning Systems (CIEWS) play a crucial role in reducing vulnerability to the adverse impacts of climate change and building resilience against its effects. Presented at the 66th Global Environment Facility Council: Evaluation of GEF Support to Climate Information and Early Warning Systems. This evaluation rigorously assesses how projects funded by the GEF Trust Fund, the Least Developed Countries Fund (LDCF) and the Special Climate Change Fund (SCCF) have incorporated CIEWS components. It provides evidence on the performance of these interventions through an assessment of their relevance, results, and sustainability. The evaluation shows that CIEWS projects are aligned with the GEF Trust Fund and LDCF/SCCF strategies, are demand-driven by beneficiary countries, and effectively targeting regions at higher risks of climate-related hazards. With significant catalytic potential, GEF projects in this realm achieve satisfactory outcomes and demonstrate strong effectiveness. The evaluation also highlights areas for improvement, such as reaching the last mile, aligning indicators with established good practices, and exploring strategies to strengthen the financial sustainability of CIEWS components. Click here for the full evaluation: https://lnkd.in/ey6_vk5Y