Climate Science

insight - Climate Science

Last Year's Summer Was the Warmest on Record in Over 2,000 Years

Last year's record-breaking global temperatures and extreme heat events around the world, including heatwaves linked to wildfires and reduced harvests, indicate a concerning trend of climate change.

Last year’s summer was the warmest in 2,000 years

2023 Northern Hemisphere Summer Temperatures Reach Unprecedented Highs in the Past 2,000 Years

The 2023 Northern Hemisphere summer was the warmest on record over the past 2,000 years, exceeding the 95% confidence range of natural climate variability by more than half a degree Celsius.

2023 summer warmth unparalleled over the past 2,000 years - Nature

Changing Wind Patterns: Exploring the Impacts of Global Stilling and Shifting Atmospheric Currents

Global average wind speeds are slowing down over the long term, a phenomenon known as "Global Stilling," which has significant implications for climate systems and weather patterns.

Assessment of Climate Change Impacts on Precipitation and Temperature in Mumbai Using Physics-Informed ConvLSTM2D Models

Integrating physics-informed deep learning models improves rainfall prediction accuracy at finer spatial scales.

Climate Downscaling: Deep-Learning Model for Precipitation Data

Mitigating climate impacts through deep-learning precipitation downscaling.

Calibrating Bayesian UNet++ for Sub-Seasonal Forecasting at ICLR 2024 Workshop

Calibration of neural networks is crucial for reliable and sharp sub-seasonal forecasting in climate sciences.

Evaluation and Ranking of Explainable AI Methods in Climate Science

Introduction of XAI evaluation metrics for climate science applications.

ClimateQ&A: Bridging the Gap Between Climate Scientists and the General Public

Traditional survey methods may not capture all knowledge gaps in public perception of climate change and biodiversity, highlighting the need for innovative approaches like ClimateQ&A.

Analyzing Public Perception of Climate Change with ClimateQ&A Platform

Novel open-ended method reveals public interest in personal impacts of climate change and biodiversity loss.

Precipitation Downscaling with Spatiotemporal Video Diffusion: A Data-Driven Approach

Extending video diffusion models for precipitation super-resolution improves accuracy and reliability in climate science applications.

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