Outlook for exploiting artificial intelligence in the earth and environmental sciences

SA Boukabara, V Krasnopolsky… - Bulletin of the …, 2021 - journals.ametsoc.org
Promising new opportunities to apply artificial intelligence (AI) to the Earth and
environmental sciences are identified, informed by an overview of current efforts in the …

Leveraging modern artificial intelligence for remote sensing and NWP: Benefits and challenges

SA Boukabara, V Krasnopolsky… - Bulletin of the …, 2019 - journals.ametsoc.org
Artificial intelligence (AI) techniques have had significant recent successes in multiple fields.
These fields and the fields of satellite remote sensing and NWP share the same fundamental …

Artificial intelligence revolutionises weather forecast, climate monitoring and decadal prediction

S Dewitte, JP Cornelis, R Müller, A Munteanu - Remote Sensing, 2021 - mdpi.com
Artificial Intelligence (AI) is an explosively growing field of computer technology, which is
expected to transform many aspects of our society in a profound way. AI techniques are …

Challenges and benchmark datasets for machine learning in the atmospheric sciences: Definition, status, and outlook

PD Dueben, MG Schultz, M Chantry… - … Intelligence for the …, 2022 - journals.ametsoc.org
Benchmark datasets and benchmark problems have been a key aspect for the success of
modern machine learning applications in many scientific domains. Consequently, an active …

The outlook for AI weather prediction

I Ebert-Uphoff, K Hilburn - 2023 - nature.com
The outlook for AI weather prediction Skip to main content Thank you for visiting nature.com.
You are using a browser version with limited support for CSS. To obtain the best experience, we …

Artificial intelligence and the climate emergency: Opportunities, challenges, and recommendations

M Taddeo, A Tsamados, J Cowls, L Floridi - One Earth, 2021 - cell.com
Artificial intelligence (AI) has the potential to play an important role in addressing the climate
emergency, but this potential must be set against the environmental costs of developing AI …

[图书][B] Artificial intelligence methods in the environmental sciences

SE Haupt, A Pasini, C Marzban - 2008 - books.google.com
How can environmental scientists and engineers use the increasing amount of available
data to enhance our understanding of planet Earth, its systems and processes? This book …

Data assimilation: making sense of Earth Observation

WA Lahoz, P Schneider - Frontiers in Environmental Science, 2014 - frontiersin.org
Climate change, air quality, and environmental degradation are important societal
challenges for the Twenty-first Century. These challenges require an intelligent response …

Towards implementing artificial intelligence post-processing in weather and climate: Proposed actions from the Oxford 2019 workshop

SE Haupt, W Chapman, SV Adams… - … of the Royal …, 2021 - royalsocietypublishing.org
The most mature aspect of applying artificial intelligence (AI)/machine learning (ML) to
problems in the atmospheric sciences is likely post-processing of model output. This article …

AI for climate impacts: applications in flood risk

A Jones, J Kuehnert, P Fraccaro, O Meuriot… - npj Climate and …, 2023 - nature.com
In recent years there has been a surge of interest in the potential of Artificial Intelligence (AI)
to address the global threat of climate change. Here, we consider climate change …