AI for Climate, Energy, and Ecosystem Resilience at NVIDIA GTC 2025
From mitigating climate change to improving disaster response and environmental monitoring, AI is reshaping how we tackle critical global challenges. Advancements in fast, high-resolution climate forecasting, real-time monitoring, and digital twins are equipping scientists, policy-makers, and industry leaders with data-driven tools to understand, plan for, and respond to a warming planet.
At
NVIDIA GTC 2025
, running March 17–21, thought leaders, scientists, developers, and innovators will highlight how AI is helping shape a more sustainable and resilient future. The following sessions showcase AI’s role in climate forecasting, disaster mitigation, and conservation efforts, helping communities adapt to an increasingly unpredictable world.
Strengthening extreme weather predictions and disaster response
As global warming intensifies, and extreme weather events become more severe and frequent, communities need faster and more precise natural disaster predictions and response strategies. AI is improving flood, wildfire, and hurricane modeling, enabling earlier warnings and more effective mitigation efforts. Using large-scale weather simulations, satellite data analysis, and real-time predictive insights, AI is helping emergency responders and decision-makers minimize damage, improve disaster resilience, and keep communities safe.
Sessions
Transform Natural Catastrophe Risk Simulations with Advanced Computational Tools
AXA, AWS, and NVIDIA use Earth-2 simulations to model extreme weather events at unprecedented scale and precision. These tools help insurers, urban planners, and governments prepare for disasters by improving risk estimation and resilience planning, reducing the financial and societal impact of natural disasters.
Boosting Earth System Model Outputs Using Exascale Climate Emulators
Researchers at KAUST and Saint Louis University use exascale climate emulators powered by NVIDIA GPUs to accelerate and refine earth system model outputs. Achieving ultra-high spatial resolution (3.5 km), these models enable more accurate storm and climate simulations, improving extreme weather predictions, and helping emergency responders, insurers, and policymakers improve disaster response planning and climate resilience efforts.
Harnessing AI for Advanced Flood Risk Modelling and Mitigation Strategies
JBA Risk Management uses AI-driven weather models, including Spherical Fourier Neural Operators, to simulate storm seasons with greater accuracy. Using NVIDIA NIM, these models improve flood risk assessment, disaster response planning, and infrastructure investment decisions, all while reducing computational costs.
Near-Real-Time Fire Detection Leveraging Edge AI in Space: Transforming Thermal Earth Observation with NVIDIA
Wildfires require rapid response to minimize devastation. OroraTech’s use of NVIDIA Jetson technology onboard CubeSats delivers fire detection within 60 seconds, providing first responders with critical real-time data to deploy resources more effectively.
Autonomous Systems and Remote Sensing for Better Earth Data
Autonomous aircraft equipped with AI are revolutionizing environmental monitoring by collecting high-resolution data at scale. MIT researchers showcase how these low-cost, long-range systems gather critical data for precision agriculture, disaster response, and environmental assessments, providing actionable insights at scale.
Boosting climate forecasting for energy and infrastructure planning
Accurate, long-term climate forecasting is essential for guiding infrastructure investments, optimizing energy grids, and enhancing sustainability planning. AI-powered models make climate projections faster and more precise, guiding solar energy integration, climate-resilient infrastructure development, and sustainability strategies. These high-resolution, data-driven insights help city planners and decision-makers anticipate evolving conditions for a more resilient future.
Sessions
The Role of AI and Accelerated Computing in Understanding and Mitigating Urban Climate Change
Researchers are using AI, digital twins, and accelerated computing to model rising temperatures, air pollution, and extreme weather in cities. This session explores how generative AI and machine learning analyze satellite data, IoT sensors, and social insights to create high-resolution simulations of urban heat islands and pollution patterns. Experts will discuss how these insights help guide climate-resilient infrastructure, energy efficiency, and targeted adaptation strategies while addressing challenges like computational efficiency and equitable access to AI-driven solutions.
Enhancing Photovoltaic Power Predictions with High-Resolution Weather Forecasting from NVIDIA Earth-2
NVIDIA Earth-2 is revolutionizing solar energy forecasting with ultra-precise, AI-driven weather predictions. In collaboration with GCL and Peking University, researchers show how time series models and high-resolution weather data improve photovoltaic power forecasts, enhancing grid stability, and improving renewable energy planning for power providers and policymakers.
Applying AI Weather Models with NVIDIA Earth-2
NVIDIA Earth-2 AI-powered forecasting models generate high-resolution weather predictions at a fraction of the cost and time of traditional numerical models. This training lab explores how AI-driven downscaling techniques improve forecasting accuracy for industries such as energy and agriculture, providing more accurate forecasting and better decision-making across critical sectors.
Advancing AI-driven environmental monitoring and conservation
AI is transforming environmental monitoring, conservation, and ecosystem management with advanced digital twin technology and autonomous systems. From high-resolution coral reef modeling to large-scale ecosystem assessments, these innovations provide scientists and conservationists with critical insights to guide conservation strategies and protect biodiversity.
Session
Exploring Earth’s Oceans: Using Digital Twins to Drive Digital Ocean Collaboration
Oceans regulate climate and support biodiversity, but their complexity makes them challenging to study. MITRE uses NVIDIA Omniverse to create digital twins of ocean systems, enabling real-time simulations and predictive modeling. These tools foster collaboration among scientists, policymakers, and educators to improve marine resource management, drive conservation efforts, and bolster climate resilience.
In-person posters
Photo-Realistic 3D Digital Twin to Enhance Understanding of the Great Barrier Reef
​​AI-powered 3D digital twins are advancing how researchers model and monitor coral reef ecosystems. Using Reef-NeRF and Reef-3DGS, scientists can create highly detailed reconstructions to track coral health, measure structural changes, and assess the impacts of climate change. These tools provide conservationists and policymakers with critical data to inform reef recovery strategies and improve long-term conservation efforts
Mangrove Simulation Predicts Carbon Sequestration Solutions
Mangrove forests are a key solution to carbon capture and climate mitigation, but effective restoration requires precise monitoring and management. ID Water Co., Ltd. is using AI-powered irrigation automation and GPU-driven carbon sink modeling to improve mangrove reforestation efforts. These models improve survival rates, optimize carbon sequestration, and address verification challenges, making large-scale restoration more feasible and impactful.
Revolutionizing Antarctic Flora Monitoring with AI and Drones
AI-powered drones and hyperspectral imaging are enabling high-precision mapping of Antarctic vegetation. Using NVIDIA GPUs, researchers can detect moss and lichen with over 99% accuracy, providing key insights into climate-driven ecosystem changes while reducing the need for invasive field surveys in this fragile ecosystem.
Join our global community of developers, scientists, business leaders, and innovators at NVIDIA GTC 2025 to discover how AI drives solutions to our most complex challenges.
From NVIDIA CEO
Jensen Huang’s must-see keynote
to over 900 sessions, 300+ exhibits, hands-on technical training, and exclusive networking events, GTC offers a firsthand look at AI’s real-world impact.
The
session catalog
is open—start building your agenda today.
NVIDIA GTC 2025 上的人工智能促进气候、能源和生态系统复原力
从减缓气候变化到改进灾害响应和环境监测，AI 正在重塑我们应对重大全球挑战的方式。快速、高分辨率的气候预报、实时监控和数字孪生技术的进步为科学家、政策制定者和行业领导者提供了数据驱动的工具，帮助他们了解、规划和应对一个变暖的星球。
在 3 月 17 日至 21 日举行的
NVIDIA GTC 2025
大会上，思想领袖、科学家、开发者和创新者将重点介绍 AI 如何帮助塑造更具可持续性和韧性的未来。以下会议展示了 AI 在气候预测、灾难缓解和保护工作中发挥的作用，帮助社区适应日益不可预测的世界。
加强极端天气预测和灾害响应
随着全球变暖加剧，极端天气事件变得更加严重和频繁，社区需要更快、更精确的自然灾害预测和响应策略。AI 正在改进洪水、野火和飓风建模，从而实现更早的警报和更有效的缓解措施。借助大规模天气模拟、卫星数据分析和实时预测性见解，AI 正在帮助应急响应人员和决策者尽可能减少损失、提高抗灾能力，并确保社区安全。
会议
借助高级计算工具转变自然灾害风险模拟 AXA、AWS 和 NVIDIA 使用 Earth-2 模拟以前所未有的规模和精度对极端天气事件进行建模。这些工具通过改进风险估计和恢复能力规划，减少自然灾害的金融和社会影响，帮助保险公司、城市规划人员和政府做好灾害准备。
使用百亿亿级 (Exascale) 气候模拟器提升地球系统模型的输出
KAUST 和圣路易斯大学的研究人员使用由 NVIDIA GPUs 提供支持的百亿亿级 (Exascale) 气候模拟器来加速和优化地球系统模型的输出。这些模型可实现超高的空间分辨率 (3.5 公里)，从而能够更准确地模拟风暴和气候，改进极端天气预测，并帮助应急响应人员、保险公司和政策制定者改进灾害应对规划和气候弹性工作。
将 AI 用于高级洪水风险建模和缓解策略
JBA Risk Management 使用 AI 驱动的天气模型 (包括 Spherical Fourier Neural Operators) 更准确地模拟风暴季。借助 NVIDIA NIM，这些模型可改善洪水风险评估、灾害应对规划和基础设施投资决策，同时降低计算成本。
在太空中利用边缘 AI 进行近乎实时的火灾检测：借助 NVIDIA 改变热地球观测方式
野火需要快速响应，以尽可能减少破坏。OroraTech 在 CubeSats 上使用 NVIDIA Jetson 技术，可在 60 秒内完成火灾检测，从而为急救人员提供关键的实时数据，以便更有效地部署资源。
利用自主系统和遥感获取更好的地球数据
配备 AI 的自主飞机正在大规模收集高分辨率数据，从而彻底改变环境监测。麻省理工学院的研究人员展示了这些低成本的远程系统如何为精准农业、灾害响应和环境评估收集关键数据，并大规模提供可行的见解。
提升气候预测能力以加强能源和基础设施规划
准确的长期气候预测对于指导基础设施投资、优化电网和增强可持续发展规划至关重要。AI 驱动的模型能够更快、更精确地进行气候预测，为太阳能集成、气候弹性基础设施开发和可持续发展策略提供指导。这些由数据驱动的高分辨率见解可帮助城市规划人员和决策者预测不断变化的条件，打造更具弹性的未来。
会议
AI 和加速计算在了解和减缓城市气候变化方面的作用
研究人员正在利用 AI、数字孪生和加速计算对城市中的气温升高、空气污染和极端天气进行建模。此会议将探讨生成式 AI 和机器学习如何分析卫星数据、物联网传感器和社会见解，以创建城市热岛和污染模式的高分辨率模拟。专家们将讨论这些见解如何帮助指导适应气候变化的基础设施、能效和有针对性的适应战略，同时应对计算效率和公平获取 AI 驱动的解决方案等挑战。
借助 NVIDIA Earth-2 的高分辨率天气预报增强太阳能发电预测
NVIDIA Earth-2 通过 AI 驱动的超精确天气预测，正在彻底改变太阳能预测。研究人员与 GCL 和北京大学合作，展示了时间序列模型和高分辨率天气数据如何改善太阳能发电预测、增强电网稳定性，以及如何改善电力供应商和政策制定者的可再生能源规划。
将 AI 天气模型与 NVIDIA Earth-2AI 驱动的预测模型结合使用
，生成高分辨率天气预测，所需的成本和时间远低于传统数值模型。此训练实验室将探讨 AI 驱动的降比例技术如何提高能源和农业等行业的预测准确性，从而为关键领域提供更准确的预测和更好的决策。
推进 AI 驱动的环境监测和保护
AI 正在利用先进的数字孪生技术和自主系统，改变环境监测、保护和生态系统管理。从高分辨率珊瑚礁建模到大规模生态系统评估，这些创新为科学家和自然保护主义者提供了重要见解，以指导保护策略和保护生物多样性。
会议
探索地球的海洋：使用数字孪生推动数字海洋协作海洋调节气候并支持生物多样性
，但其复杂性使研究这些海洋具有挑战性。MITRE 使用 NVIDIA Omniverse 创建海洋系统的数字孪生，实现实时模拟和预测建模。这些工具促进了科学家、政策制定者和教育工作者之间的协作，以改善海洋资源管理、推动保护工作，并增强气候恢复能力。
线下海报
逼真的 3D 数字孪生增强对大堡礁的理解 AI 驱动的 3D 数字孪生正在推进研究人员建模和监测珊瑚礁生态系统的方式。借助 Reef-NeRF 和 Reef-3DGS，科学家可以创建高度精细的重建模型，以追踪珊瑚健康状况、测量结构变化并评估气候变化的影响。这些工具为环保人士和政策制定者提供关键数据，以便制定珊瑚礁恢复策略并改进长期保护工作
Mangrove Simulation 预测碳封存解决方案
红树林是碳捕获和气候减缓的关键解决方案，但有效的恢复需要精确的监控和管理。ID Water Co.，Ltd.正在使用由 AI 提供动力支持的喷洒自动化和 GPU 驱动的碳汇建模来改进红树林再造工作。这些模型可提高存活率、优化碳封存并解决验证难题，从而提高大规模修复的可行性和成效。
借助 AI 和无人机革新南极植物监测
AI 赋能的无人机和高光谱成像技术可实现对南极植被的高精度绘图。借助 NVIDIA GPU，研究人员可以以超过 99%的准确率检测和，从而对气候驱动的生态系统变化提供关键见解，同时减少在这个脆弱的生态系统中进行侵入性实地调查的需求。
在 NVIDIA GTC 2025 大会上，加入由开发者、科学家、业务领袖和创新者组成的全球社区，了解 AI 如何为我们面临的复杂挑战提供解决方案。
从 NVIDIA 首席执行官
Jensen Huang 不容错过的主题演讲
，到 900 多场会议、300 多场展览、实操技术培训和独家交流活动，GTC 让您亲身体验 AI 对现实世界的影响。
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