Latest Articles for Climate Science

Explore how interpretable machine learning can enhance weather and climate predictions.

A new method enhances atmospheric modeling efficiency and accuracy using mixed finite element methods.

Study the movements of fluids influenced by temperature differences in vertical settings.

New ensemble methods enhance predictions in weather and climate systems.

A new method to study past climate using marine microfossils.

Explore the analysis of trajectories and their applications in various fields.

A new approach enhances precipitation simulations for better climate response.

Combining data sources for better weather forecasts in the Philippines.

Examining past climate changes using oxygen isotope ratios in ocean sediments.

New methods improve weather forecasts using data assimilation techniques.

A new method utilizes deep learning for complex mathematical equations in various fields.

Examining how ENSO affects extreme rainfall patterns in India’s summer monsoon.

Study of edge-waves and slopes in baroclinic instability enhances weather and climate models.

Exploring how machine learning enhances climate data analysis and predictions.

Foundation models are transforming how we analyze and predict climate and environmental changes.

This study evaluates how language models handle climate change claims.

Poseidon uses machine learning to efficiently predict solutions for complex PDEs.

Examining how ocean circulation influences climate and the potential impacts of climate change.

Introducing S3, a method to enhance time-series data analysis through intelligent rearrangement.

A look at the Stefan problem and the behavior of phase changes.

This paper discusses methods to estimate parameters in second-order stochastic differential equations using real-world data.

Learn how the Hadley circulation shapes climate and reacts to global warming.

Examining how tilt and atmosphere affect TRAPPIST-1e's potential for life.

Combining machine learning and traditional models to enhance weather prediction accuracy.

New methods improve Kalman filtering efficiency and uncertainty estimates in high-dimensional settings.

A new approach improves accuracy in weather predictions by simulating multiple scales.

Adaptive mesh refinement enhances accuracy in weather forecasting by adjusting detail dynamically.

Research aims to improve solar wind forecasts using data from the Parker Solar Probe.

Introducing FB-LTS, a method improving efficiency in shallow water simulations.

A new method improves wind predictions using statistical models and data integration.

A study on how water droplets affect ice accumulation on different structures.

A novel approach improves tracking of ocean eddies by addressing data uncertainties.

Examining the reliability and significance of solar magnetograms in understanding solar activity.

A look into advanced techniques for better data assimilation and filtering.

A clear overview of thermodynamics, its laws, and applications in various fields.

New methods for identifying significant changes in data variance over time.

Analyzing the link between pollution and rising temperatures for effective policy action.

A new model aims to improve medium-range weather predictions.

A novel approach to measure dependencies in extreme data sets across various fields.

Examining how mixing affects ocean oscillations and climate dynamics.