1,605 results for climate

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The top nature and climate stories of 2025 | World Economic Forum

Dec 10, 2025 · 2025 has brought both challenges and breakthroughs for nature and climate around the world. From 'no deal' on a global plastics treaty to renewables overtaking coal in power production, …

arxiv.org/abs/2206.06197v2

Typicality of the 2021 Western North America Summer Heatwave

Elucidating the statistical properties of extreme meteo-climatic events and capturing the physical processes responsible for their occurrence are key steps for improving our understanding of climate variability and climate change and for better evalu...

arxiv.org/abs/1809.00027v1

Dimensionality-Reduction of Climate Data using Deep Autoencoders

We explore the use of deep neural networks for nonlinear dimensionality reduction in climate applications. We train convolutional autoencoders (CAEs) to encode two temperature field datasets from pre-industrial control runs in the CMIP5 first ensembl...

en.wikipedia.org/wiki/Tom_Steyer

Tom Steyer - Wikipedia

Steyer co-founded Galvanize Climate Solutions with Katie Hall, his longtime friend and business partner. Galvanize is a climate-focused investment firm.

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Earth Now – Climate Change: Vital Signs of the Planet

Earth Now – Climate Change: Vital Signs of the Planet

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American Coot | Audubon Field Guide

Audubon’s scientists have used 140 million bird observations and sophisticated climate models to project how climate change will affect the range of the American Coot.

arxiv.org/abs/2506.14623v1

Low-code to fight climate change: the Climaborough project

The EU-funded Climaborough project supports European cities to achieve carbon neutrality by 2030. Eleven cities in nine countries will deploy in real conditions products and services fostering climate transition in their local environment. The Climab...

arxiv.org/abs/0901.0537v1

Nonlinear Dimensionality Reduction Methods in Climate Data Analysis

Linear dimensionality reduction techniques, notably principal component analysis, are widely used in climate data analysis as a means to aid in the interpretation of datasets of high dimensionality. These linear methods may not be appropriate for t...

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Intelligent Climate and Energy Solutions | Carrier

Feb 26, 2026 · Carrier Global Corporation (NYSE: CARR), global leader in intelligent climate and energy solutions, today reported financial results for the fourth quarter and full year of 2025.

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How can offshore wind be a nature-positive climate solution?

Jun 24, 2024 · Offshore wind plays a vital role in addressing climate change and reducing greenhouse gas emissions, yet it has possible impacts on nature. The industry needs to understand its …

arxiv.org/abs/2508.09376v1

Weather Jiu-Jitsu: Climate Adaptation for the 21st Century

Extreme climate events, e.g., droughts, floods, heat waves, and freezes, are becoming more frequent and intense with severe global socio-economic impacts. Growing populations and economic activity leads to increased exposure to these events. Scaling...

arxiv.org/abs/2405.07534v1

BharatBench: Dataset for data-driven weather forecasting over India

Advanced weather and climate models use numerical techniques on grided meshes to simulate atmospheric and ocean dynamics, which are computationally expensive. Data-driven approaches are gaining popularity in weather and climate modeling, with a broad...

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The top nature and climate stories of 2025 | World Economic Forum

Dec 10, 2025 · 2025 has brought both challenges and breakthroughs for nature and climate around the world. From 'no deal' on a global plastics treaty to renewables overtaking coal in power production, …

arxiv.org/abs/1611.06056v1

Percolation framework to describe El Niño conditions

Complex networks have been used intensively to investigate the flow and dynamics of many natural systems including the climate system. Here, we develop a percolation based measure, the order parameter, to study and quantify climate networks. We find...