#climate-modeling

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Warren M. Washington, who used computers to probe climate change, dies at 88

Dr. Warren M. Washington significantly advanced climate science and policy, becoming a pivotal figure in addressing human-caused emissions and climate change.
#nasa

IBM, NASA and Oak Ridge develop a new AI foundation model for weather

The newly developed foundation model enhances climate modeling and weather prediction capabilities.

Heat-trapping 'glitter' could make Mars more habitable for humans, scientists say

Scientists propose using engineered particles to warm Mars slowly over a decade, making it a more hospitable step towards potential human habitation.

IBM, NASA and Oak Ridge develop a new AI foundation model for weather

The newly developed foundation model enhances climate modeling and weather prediction capabilities.

Heat-trapping 'glitter' could make Mars more habitable for humans, scientists say

Scientists propose using engineered particles to warm Mars slowly over a decade, making it a more hospitable step towards potential human habitation.
morenasa
#weather-forecasting

Google's AI Weather Model Outperforms Traditional Forecasting Methods

AI model NeuralGCM integrates AI technologies with physics-based models for advanced weather forecasting accuracy.

Google AI predicts long-term climate trends and weather - in minutes

Models combining weather-forecasting technology with machine learning can provide more accurate and detailed ensemble weather forecasts, improving preparation for extreme weather.

How AI is improving climate forecasts

Machine learning has transformed the way climate scientist Tapio Schneider works, making the process faster and more efficient.
Conventional climate models are energy-intensive, time-consuming, and struggle to simulate small-scale processes, which machine learning can help improve.

Google's AI Weather Model Outperforms Traditional Forecasting Methods

AI model NeuralGCM integrates AI technologies with physics-based models for advanced weather forecasting accuracy.

Google AI predicts long-term climate trends and weather - in minutes

Models combining weather-forecasting technology with machine learning can provide more accurate and detailed ensemble weather forecasts, improving preparation for extreme weather.

How AI is improving climate forecasts

Machine learning has transformed the way climate scientist Tapio Schneider works, making the process faster and more efficient.
Conventional climate models are energy-intensive, time-consuming, and struggle to simulate small-scale processes, which machine learning can help improve.
moreweather-forecasting

Half of Kew tree species at risk of death owing to climate crisis, study finds

More than half of Kew's tree species are at risk of death due to climate breakdown.

The economic commitment of climate change - Nature

Historical climate and economic data are crucial for estimating future damages and trends in climate modeling.

Why Is Ocean Heat Smashing Records? It's More Than Just Climate Change.

Ocean temperature records broken daily for over a year
Higher ocean temperatures fuel stronger storms

Hottest Survivable Temperatures Are Lower Than Expected

Current methods for measuring deadly heat may underestimate mortality rates
Wet-bulb global temperature is inadequate in predicting heat survivability

BLASTNet - The First Large Machine Learning Dataset for Fundamental Fluid Dynamics

AI researchers at Stanford are collecting data from computational fluid dynamics to create a dataset for rocket science, oceanography, and climate modeling.
They hope to use this dataset to advance these scientific fields in the same way web-scale data advanced language processing.
This project demonstrates the potential of AI and data collection to revolutionize scientific research.
#AI research

BLASTNet - The First Large Machine Learning Dataset for Fundamental Fluid Dynamics

AI researchers at Stanford are collecting data from computational fluid dynamics to create a dataset for rocket science, oceanography, and climate modeling.
They hope to use this dataset to advance these scientific fields in the same way web-scale data advanced language processing.
This project demonstrates the potential of AI and data collection to revolutionize scientific research.

BLASTNet - The First Large Machine Learning Dataset for Fundamental Fluid Dynamics

AI researchers at Stanford are collecting data from computational fluid dynamics to create a dataset for rocket science, oceanography, and climate modeling.
They hope to use this dataset to advance these scientific fields in the same way web-scale data advanced language processing.
This project demonstrates the potential of AI and data collection to revolutionize scientific research.

BLASTNet - The First Large Machine Learning Dataset for Fundamental Fluid Dynamics

AI researchers at Stanford are using data from computational fluid dynamics to advance rocket science, oceanography, and climate modeling.
They aim to create a single dataset that can revolutionize these fields similar to how web-scale data revolutionized language.
The project could lead to breakthroughs in understanding complex fluid dynamics and improving predictions in various domains.

BLASTNet - The First Large Machine Learning Dataset for Fundamental Fluid Dynamics

AI researchers at Stanford are using data from computational fluid dynamics to advance rocket science, oceanography, and climate modeling.
They aim to create a single dataset that can revolutionize these fields similar to how web-scale data revolutionized language.
The project could lead to breakthroughs in understanding complex fluid dynamics and improving predictions in various domains.

BLASTNet - The First Large Machine Learning Dataset for Fundamental Fluid Dynamics

AI researchers at Stanford are collecting data from computational fluid dynamics to create a dataset for rocket science, oceanography, and climate modeling.
They hope to use this dataset to advance these scientific fields in the same way web-scale data advanced language processing.
This project demonstrates the potential of AI and data collection to revolutionize scientific research.

BLASTNet - The First Large Machine Learning Dataset for Fundamental Fluid Dynamics

AI researchers at Stanford are collecting data from computational fluid dynamics to create a dataset for rocket science, oceanography, and climate modeling.
They hope to use this dataset to advance these scientific fields in the same way web-scale data advanced language processing.
This project demonstrates the potential of AI and data collection to revolutionize scientific research.

BLASTNet - The First Large Machine Learning Dataset for Fundamental Fluid Dynamics

AI researchers at Stanford are using data from computational fluid dynamics to advance rocket science, oceanography, and climate modeling.
They aim to create a single dataset that can revolutionize these fields similar to how web-scale data revolutionized language.
The project could lead to breakthroughs in understanding complex fluid dynamics and improving predictions in various domains.

BLASTNet - The First Large Machine Learning Dataset for Fundamental Fluid Dynamics

AI researchers at Stanford are using data from computational fluid dynamics to advance rocket science, oceanography, and climate modeling.
They aim to create a single dataset that can revolutionize these fields similar to how web-scale data revolutionized language.
The project could lead to breakthroughs in understanding complex fluid dynamics and improving predictions in various domains.
moreAI research

Uncovering the drivers of a million-year-old glacial transition | Penn Today

Understanding the Mid-Pleistocene Transition and the role of path dependence in glaciations.
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