
NOAA's Scientific Integrity Policy explained: impacts on operations, extreme weather analysis, and scientific practices. Insights into policy implementation and its significance for climate research.

Unveiling of NOAA's scientific integrity policy, emphasizing protection of scientific findings, transparency, and strengthening science. Follows a lecture on predicting and managing extreme events.

Explore operational applications and initial results from Suomi NPP and JPSS satellites, including sensor performance, data products, and their impact on global Earth observations and weather forecasting.

Explore innovative approaches to modeling complex social-climate interactions using data-driven dynamical systems, offering insights into sustainable solutions and policy implications.

Explore Kalman Filter in data assimilation for weather and climate models. Learn theoretical foundations and practical applications of this crucial mathematical approach.

Explore carbon dioxide removal deployment strategies with Dr. Joe Romm's keynote on law and policy implications from planning to project implementation.

Explore new guidance for maritime companies to set science-based emissions reduction targets aligned with 1.5°C, accelerating industry decarbonization efforts.

Exploring data science applications in environmental research, addressing challenges of big data in climate modeling and Earth observation, and discussing future opportunities in the field.

Explore diverse academic career paths for atmospheric scientists, from university administration to research and teaching roles, with insights on job search, required skills, and daily responsibilities.

Explore techniques for detecting tectonic and climatic signals in GPS position data, enhancing understanding of Earth's dynamic processes and environmental changes.

Explore the historical ties between meteorological science and state power, and their impact on climate crisis data today with environmental historian Sara J. Grossman.

Explore machine learning methods for improving Earth system predictions, featuring insights from Dan Lu of Oak Ridge National Laboratory on enhancing climate modeling and forecasting.

Explore Earth's past climates to validate climate models and predict future behavior. Learn about challenges in paleoclimate data analysis and efforts to standardize and analyze these unique archives.

Learn Python visualization techniques for geophysical fluid dynamics, covering data representation and analysis tools essential for atmospheric and oceanic research.

Explore machine learning approaches for analyzing large-scale time series and spatio-temporal data, with applications in healthcare and climate modeling.

Explore AI-powered global weather forecasting using 3D deep networks and Earth-specific priors. Learn about Pangu-Weather's accuracy in medium-range predictions and extreme weather tracking.

Explore geophysical fluid dynamics through lectures, talks, and tutorials on eddies, waves, turbulence, and climate modeling. Gain insights from theory, models, and observations in this interdisciplinary meeting.

Explore SBTi's draft fossil fuel finance criteria and provide feedback on updated guidance for financial institutions setting science-based climate targets.

Explore deep learning and rare event sampling techniques for analyzing climate extremes' impact on power systems.

Explore mathematical modeling approaches examining smooth vs non-smooth dynamics across climate, energy transfer, and neural systems, revealing insights into complex real-world phenomena.

Explore uncertainty quantification using Gaussian Process emulators for complex systems. Learn about sequential design methods, mutual information criteria, and applications in climate, tsunami, and earthquake modeling.