How to Explore Climate Change Impacts by Location

Is your district prone to climate risk? Explore the 'District-Level Climate Risk Assessment for India' report to find out. 𝐾𝑒𝑦 𝑡𝑎𝑘𝑒𝑎𝑤𝑎𝑦𝑠: 𝖱𝗂𝗌𝗄 𝖬𝖺𝗉𝗉𝗂𝗇𝗀 𝖥𝗋𝖺𝗆𝖾𝗐𝗈𝗋𝗄:    - Methodology is based on the #IPCC framework, ensuring comparability across districts by assessing risks through hazard, exposure, and vulnerability components.   - By mapping risks at the district level, it provides granular insights, enabling targeted interventions tailored to local conditions and administrative units. 𝖯𝗋𝖾𝗏𝖺𝗅𝖾𝗇𝖼𝖾 𝖺𝗇𝖽 𝖣𝗂𝗌𝗍𝗋𝗂𝖻𝗎𝗍𝗂𝗈𝗇 𝗈𝖿 𝖱𝗂𝗌𝗄𝗌:    - #Floods and #droughts are the most prevalent climate hazards, affecting 87% and 30% of districts, respectively, with many regions experiencing both.   - Very high flood risk is concentrated in Assam and West Bengal, while drought risk is prominent in Bihar, Jharkhand, Odisha, UP, and Maharashtra. 𝖳𝗁𝖾 𝖣𝗋𝗂𝗏𝖾𝗋𝗌 𝗈𝖿 𝖱𝗂𝗌𝗄:    - High risk doesn’t solely stem from hazard intensity; exposure (e.g., population density) and vulnerability (e.g., poverty) can amplify impacts.   - For Ex. in Patna, high exposure and vulnerability elevate flood risk despite a lower hazard index. 𝖣𝗎𝖺𝗅 𝖱𝗂𝗌𝗄 𝖢𝗁𝖺𝗅𝗅𝖾𝗇𝗀𝖾𝗌:    - 11 districts, including Alappuzha, and several in Assam, face dual risks of floods and droughts, driven by erratic rainfall patterns and geographic vulnerabilities.   - These districts require integrated adaptation strategies to address overlapping hazards, such as managing monsoon floods and subsequent dry spells. 𝖢𝖺𝗉𝖺𝖼𝗂𝗍𝗒 𝖡𝗎𝗂𝗅𝖽𝗂𝗇𝗀 𝖺𝗇𝖽 𝖯𝗈𝗅𝗂𝖼𝗒 𝖱𝖾𝗅𝖾𝗏𝖺𝗇𝖼𝖾: - The project conducted workshops for ‘state climate change cells’ fostering the ability to replicate risk assessments and develop state-specific risk maps.   -Findings support the integration of climate risk into State Action Plans on Climate Change (SAPCCs) for securing #climatefinance. 𝖴𝗍𝗂𝗅𝗂𝗍𝗒 𝖿𝗈𝗋 𝖣𝖾𝖼𝗂𝗌𝗂𝗈𝗇-𝖬𝖺𝗄𝗂𝗇𝗀:    - District-level risk maps enable policymakers to identify and prioritize interventions in high-risk areas, optimizing resource allocation for adaptation measures.   - Risk indices empower local communities to advocate for compensation or insurance, enhancing grassroots resilience against climate impacts. 𝖥𝗎𝗍𝗎𝗋𝖾 𝖣𝗂𝗋𝖾𝖼𝗍𝗂𝗈𝗇𝗌:  - The report suggests developing risk indices for sectors like agriculture and urban water supply to address specific vulnerabilities.   - It recommends extending assessments to future climate scenarios and other hazards-e.g., landslides and heat stress.

🌍 How is climate change reshaping our planet? 🌪️💧🔥 As we witness increasingly frequent and severe extreme weather events, the science of attribution is shedding light on the human fingerprint behind these phenomena. Carbon Brief’s latest interactive map offers a comprehensive overview of over 600 studies, examining nearly 750 extreme weather events and trends worldwide. 📊🌡️ 💡 Key takeaways: 👉 74% of cases: Events were made more likely or severe due to climate change. This includes events deemed virtually impossible without human-induced warming. 👉 9% of cases: Climate change made these events less likely or less severe, primarily cold extremes and blizzards. 👉 83% overall: Clear evidence of human influence. 👉 17% of cases: Either no discernible human influence (10%) or inconclusive results (7%). 👉 Most studied event types: Heat extremes (28%), rainfall and flooding (24%), and drought (14%) dominate the research focus. 🌍 Regional insights: The studies are concentrated in Europe (22%), eastern and southeastern Asia (22%), and North America (18%), highlighting an urgent need to expand research in underrepresented regions. 📈 First introduced in 2017, this map now includes more data than ever before, reflecting advancements in attribution science and its critical role in understanding climate impacts. 🌱 Tools like this are vital for turning data into action, enabling policymakers, businesses, and communities to mitigate the impacts of extreme weather. 🔗 Curious to explore this groundbreaking map? Check it out here: https://lnkd.in/e66_r2P8 💬 What are your thoughts on the role of attribution science in driving climate action? How can this research guide corporate sustainability strategies and public policy? #ClimateChange 🌍 #Sustainability 🌱 #ExtremeWeather 🌪️ #ScienceForPolicy 📊 #AttributionStudies 🔬

Every year, natural disasters hit harder and closer to home. But when city leaders ask, "How will rising heat or wildfire smoke impact my home in 5 years?"—our answers are often vague. Traditional climate models give sweeping predictions, but they fall short at the local level. It's like trying to navigate rush hour using a globe instead of a street map. That’s where generative AI comes in. This year, our team at Google Research built a new genAI method to project climate impacts—taking predictions from the size of a small state to the size of a small city. Our approach provides: - Unprecedented detail – in regional environmental risk assessments at a small fraction of the cost of existing techniques - Higher accuracy – reduced fine-scale errors by over 40% for critical weather variables and reduces error in extreme heat and precipitation projections by over 20% and 10% respectively - Better estimates of complex risks – Demonstrates remarkable skill in capturing complex environmental risks due to regional phenomena, such as wildfire risk from Santa Ana winds, which statistical methods often miss Dynamical-generative downscaling process works in two steps: 1) Physics-based first pass: First, a regional climate model downscales global Earth system data to an intermediate resolution (e.g., 50 km) – much cheaper computationally than going straight to very high resolution. 2) AI adds the fine details: Our AI-based Regional Residual Diffusion-based Downscaling model (“R2D2”) adds realistic, fine-scale details to bring it up to the target high resolution (typically less than 10 km), based on its training on high-resolution weather data. Why does this matter? Governments and utilities need these hyperlocal forecasts to prepare emergency response, invest in infrastructure, and protect vulnerable neighborhoods. And this is just one way AI is turbocharging climate resilience. Our teams at Google are already using AI to forecast floods, detect wildfires in real time, and help the UN respond faster after disasters. The next chapter of climate action means giving every city the tools to see—and shape—their own future. Congratulations Ignacio Lopez Gomez, Tyler Russell MBA, PMP, and teams on this important work! Discover the full details of this breakthrough: https://lnkd.in/g5u_WctW  PNAS Paper: https://lnkd.in/gr7Acz25

In a The World Bank blog, German Caruso and Inés de Marcos introduce the Climate Effects Navigator Toolkit (CLIENT), a new interactive platform that combines climate and human capital data to analyze the long-term effects of disasters on health, education, and livelihoods. Key features: 📊 Tracks six hazard types (e.g. droughts, floods, heatwaves, hurricanes) over nearly five decades. Users can tweak thresholds, timeframes, and measure by land or population to analyze exposure, frequency, and severity at subnational levels. 🧍Uses census microdata to show who’s most affected. Users can explore how disasters impact school attendance, employment, electricity access, and more, before and after events, to highlight vulnerable groups like children or underserved households. ⚙ Overlays World Bank project data with climate-affected areas, helping identify where current initiatives are helping, and where gaps remain, enabling better targeting of climate-smart investments. 🔍 Integrates almost five decades of climate data across 38,000+ subnational regions and harmonizes climate records, census data, population stats, and administrative boundaries into a flexible toolkit with over 300 customizable parameters. 🗒️ Read the blog: https://lnkd.in/gGsURKjD 🖥️ Try the toolkit: https://lnkd.in/gUJB3Kkc 💻 Check out the Climate Change Knowledge Portal: https://lnkd.in/gw2eThqb

🌊🔍Exploring Flood Impact Analysis and Visualization with ArcGIS Pro🌍✨   Flooding is one of the most devastating natural disasters, exacerbated by climate change, impacting communities, economies, and environments. With the power of ArcGIS Pro, we can conduct comprehensive flood impact analyses and create stunning visualizations that help us understand and mitigate these risks. "... visible danger is the best argument for prevention - this also applies in digital worlds ..." 🌡️ Climate Change and Flooding: Climate change is leading to increased rainfall (in some areas to decreased as well), rising sea levels, and more frequent extreme weather events, resulting in heightened flood risks. Understanding these changes is crucial for effective planning and response. 📈 Key Benefits of Using ArcGIS Pro for Flood Analysis: 1️⃣ Data Integration: Combine various datasets, including elevation, land use, climate models, and historical flood events, to create a robust analysis. 2️⃣ 3D Visualization: Utilize 3D capabilities to visualize flood extents and impacts on infrastructure and communities, considering future climate scenarios. 3️⃣ Scenario Modeling: Simulate different flood scenarios under varying climate conditions to assess potential impacts and plan effective responses. 4️⃣ Hydrological Analysis Tools: Use tools like the Hydrology toolset to analyze watershed dynamics and flood risk. 5️⃣ Remote Sensing: Leverage satellite imagery and remote sensing data to monitor changes in land cover and water bodies due to climate change. 6️⃣ Community Engagement: Share interactive maps and visualizations with stakeholders to raise awareness and drive action. By leveraging these tools, we can enhance our preparedness and response strategies, ultimately saving lives and reducing economic losses. 💪🌈 🤝 Let's spark a conversation! How are you leveraging ArcGIS for flood Analysis? Share your insights, challenges, and success stories below. Let's amplify our collective GIS capabilities! 💬💡 💡 🌟 #FloodAnalysis #ClimateChange #DataVisualization #Resilience #FloodManagement #ArcGISPro #RiskMitigation #Esri #GIS #SpatialAnalysis #ArcGIS #flood #climatechange #FloodManagement #DisasterResponse #UrbanPlanning #Sustainability #ClimateChangeAdaption #EsriDeutschland #ArcGISPro #esrivoices🔍 🚀 🌱

𝗪𝗵𝗮𝘁 𝗶𝗳 𝘄𝗲 𝗰𝗼𝘂𝗹𝗱 𝗽𝗶𝗻𝗽𝗼𝗶𝗻𝘁 𝗵𝗼𝘄 𝗺𝘂𝗰𝗵 𝗰𝗹𝗶𝗺𝗮𝘁𝗲 𝗰𝗵𝗮𝗻𝗴𝗲 𝗶𝘀 𝘁𝗼 𝗯𝗹𝗮𝗺𝗲 𝗳𝗼𝗿 𝗲𝘃𝗲𝗿𝘆 𝗲𝘅𝘁𝗿𝗲𝗺𝗲 𝘄𝗲𝗮𝘁𝗵𝗲𝗿 𝗲𝘃𝗲𝗻𝘁? 𝗧𝗵𝗮𝗻𝗸𝘀 𝘁𝗼 𝗖𝗮𝗿𝗯𝗼𝗻𝗕𝗿𝗶𝗲𝗳 - 𝗻𝗼𝘄 𝘄𝗲 𝗰𝗮𝗻! Carbon Brief just released one of the most powerful climate tools I’ve seen in a while: an interactive map of every major extreme weather event where scientists have formally assessed the role of climate change. This latest iteration of the interactive map includes more than 600 studies, covering almost 750 extreme weather events and trends. Because each point on the map tells a story—and about three-quarters of all events mapped end the same way: they were made worse or more likely by human-induced climate change. There were multiple cases where scientists found that an 'extreme-event' was virtually impossible without human influence. Only around 9% of all events were less severe because of climate change. Here are a few insights that stood out to me: ➤ Heatwaves are the clearest signal. They account for more than one-third of studies, and nearly every single one has been intensified by warming. ➤ Many extreme events—like the 2021 Pacific Northwest heat dome—were deemed virtually impossible without climate change. ➤ We need more global equity in climate science. Most attribution studies focus on Europe, North America, and China. Countries most vulnerable to climate extremes—especially in the Global South—are underrepresented. That skews both policy and preparedness. ➤ Attribution science is maturing fast. The field barely existed in 2004. Today, we can assess the climate fingerprints of disasters in near-real time. That’s game-changing for insurers, governments, and risk modelers alike. 𝗠𝘆 𝗧𝗮𝗸𝗲: As someone modelling systemic climate risk for business, I see this dataset as more than academic. It’s a new layer of evidence for scenario analysis, impact forecasting, and portfolio stress testing. But it’s also a reminder that climate change is not a future problem it’s changing our weather 𝘳𝘪𝘨𝘩𝘵 𝘯𝘰𝘸. 𝗜𝗳 𝘆𝗼𝘂’𝗿𝗲 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗰𝗹𝗶𝗺𝗮𝘁𝗲 𝗿𝗶𝘀𝗸 𝘁𝗼𝗼𝗹𝘀, 𝗮𝗱𝗮𝗽𝘁𝗮𝘁𝗶𝗼𝗻 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀, 𝗼𝗿 𝘀𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗳𝗶𝗻𝗮𝗻𝗰𝗲 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀—𝘁𝗵𝗶𝘀 𝗺𝗮𝗽 𝗶𝘀 𝗴𝗼𝗹𝗱. 🔗 Explore it here: https://lnkd.in/eyaZES6x #ClimateRisk #ExtremeWeather #AttributionScience #Sustainability #ClimateAction #ScenarioAnalysis #ClimateData #NetZero #Adaptation _____________ For updates on sustainability, climate, and innovation, follow me on LinkedIn: Scott Kelly