Hurricanes Harvey, Irma and Maria - Part 1
Researchers share new discoveries from 2017 Atlantic hurricanes, discussing novel technologies, rainfall studies, and implications for future hurricane science and forecasting.
Wildfire-Driven Thunderstorms and Their Role in Climate
Explore pyrocumulonimbus clouds from wildfires, their impact on climate, and global comparisons. Learn about smoke behavior, atmospheric effects, and implications for weather patterns.
Spectrum Policy, 5G, and Environmental Satellites - A Risky Mix for the Earth Science Community?
Experts discuss 5G deployment's impact on weather forecasting, environmental satellites, and Earth science, exploring challenges and actions for the scientific community moving forward.
Intensifying Storms and Flooding in a Changing Climate
Experts discuss climate change's impact on storm intensity, rainfall, and flooding. Insights on hurricane intensification, data collection, and population displacement due to extreme weather events.
New Insights into the Formation of Tornadoes
New insights challenge traditional understanding of tornado formation in supercell thunderstorms, potentially revolutionizing forecasting methods and warning systems for these destructive phenomena.
An Endless World Map - Viewing the World Through "Authagraph"
革新的な世界地図「AuthaGraph」の発明：長方形に収まりながら大陸の相対的な大きさを維持。航路、地質学、気象、世界史など多様なテーマに応用可能な新しい世界の見方を提案。
Modelling, Upscaling and Simulation of Dissolution and Precipitation in a Porous Medium with an Evolving Pore-Scale Geometry
Explore modeling and simulation of dissolution and precipitation in porous media, focusing on evolving pore-scale geometry and its impact on Darcy scale properties. Learn upscaling techniques and numerical approaches.
Creating Personalised Warnings for Future Natural Hazards
Explore the future of natural hazard warnings with Dr. Sally Potter as she advocates for personalized alerts, addressing key challenges and improving public safety through innovative early warning systems.
Numerical Weather Prediction - Facing the Future with C++
Explore numerical weather prediction's future with C++, addressing challenges in data processing, scalability, and power efficiency for complex atmospheric modeling and forecasting.
Meteorology, Climate and Python - Desperately Trying to Forget Technical Details
Explore meteorology and climate analysis using Python, focusing on practical applications and data visualization techniques while avoiding unnecessary technical complexities.
Digital Painting Basics - Introduction to Speed Painting - Concept Art Tutorial
Learn speed painting techniques for digital concept art, including composition, color balance, and atmospheric effects. Discover how to create quick, impactful landscapes and moods in this introductory tutorial.
Affinity Photo - Samorost Inspired Mushroom World
Create a whimsical mushroom fantasy world in Affinity Photo, inspired by Samorost 3. Learn photo stitching techniques to craft a playful, imaginative scene that sparks viewer curiosity.
Earth's Atmosphere - Reasons for the Seasons
Explore atmospheric layers and understand seasonal changes on Earth through an engaging introduction to climate science.
Earth's Atmosphere - Introduction to Weather and Extreme Storm Systems
Explore extreme weather systems and their impact on Earth's atmosphere, gaining insights into powerful storm formations and atmospheric phenomena.
Deep Learning for Detecting Anthropogenic Global Warming Signal in Daily Precipitation
Explore deep learning's detection of climate change signals in daily precipitation, revealing human impact on global hydrological patterns through advanced neural network analysis.
Weather Forecasting Using Deep Learning - A Paradigm Shift with MetNet-3
Explore neural network-based weather forecasting with MetNet-3, revolutionizing traditional methods for improved accuracy and reliability across various sectors.
Pangu-Weather: Accurate Medium-Range Global Weather Forecasting with 3D Deep Neural Networks
Explore Pangu-Weather, an AI-based method for accurate medium-range global weather forecasting using 3D deep networks and Earth-specific priors, outperforming traditional numerical prediction systems.
Deep Learning for Global Climate Monitoring and Predictions
Explore advanced deep learning techniques for climate prediction, including few-shot learning and data assimilation, to enhance accuracy in global climate monitoring and forecasting.
Pattern Formation in Fluid-Fluid Displacement Through Simple Porous Media
Explore fluid-fluid displacement patterns in porous media, examining reactive flows and mixed-wet systems. Gain insights into underlying physics and applications in subsurface processes.
Clouds - Their Formation and Importance for Present and Future Climate
Explore cloud formation, aerosol impacts on climate, and potential cloud modification strategies to mitigate global warming. Gain insights into atmospheric science and climate change.
The New Jersey Heat Vulnerability Index: Understanding and Applying the Tool
Explore the Heat Vulnerability Index for New Jersey, its construction, application, and importance in identifying at-risk communities during extreme heat events.