- Landscape Assessment of AI for Climate and Nature🔍
- Climate Change Forecasting using Machine Learning Algorithms🔍
- Decomposing Climate Risks in Stock Markets🔍
- Maria Katherina Dal Barco🔍
- Cholera Risk🔍
- Machine learning methods enhance prediction of atmospheric ...🔍
- Utilizing Machine Learning in Climate Risk Model Benchmarking🔍
- The US must balance climate justice challenges in the era of ...🔍
A machine learning approach to assess implications of Climate Risk ...
Landscape Assessment of AI for Climate and Nature
U S Senate, Artificial Intelligence Environmental Impacts Act of ... Machine Learning Approach Using Google Earth Engine,”. Remote Sensing ...
Climate Change Forecasting using Machine Learning Algorithms
Visualization Techniques for Climate Change with the Help of ML and AI focuses on the effects of climate change and how they might be avoided or ...
2022, we develop machine learning-based indicators to measure risks from climate mitigation, and the direction of the risk is identified through manual labels.
Maria Katherina Dal Barco | UCP Knowledge Network
The two-step Machine Learning approach ... climate impact assessments by analysing the ... approach to using Machine Learning for climate risk analysis and ...
Cholera Risk: A Machine Learning Approach Applied to Essential ...
Cholera outbreaks were converted into a binary data format with a value of one indicating outbreak in a particular month and district, and a ...
Machine learning methods enhance prediction of atmospheric ...
The studies of smoke emission forecasts and ethane detection demonstrate how machine learning enables faster, more accurate predictions.
Utilizing Machine Learning in Climate Risk Model Benchmarking
The conventional approach commonly entails employing broad assumptions and correlations to assess the impacts of various climate scenarios on ...
The US must balance climate justice challenges in the era of ...
AI and machine learning will assume prominent roles in mitigating the escalating effects of climate change, adapting to a warmer planet, and ...
Weathering Risk: A Climate and Security Risk Assessment
A mixed methods approach combines cross-sectoral climate impact modelling, machine learning and data analysis with stakeholder-focused ...
Enhancing Regional Climate Downscaling through Advances in ...
Yang, 2023: Machine learning methods in weather and climate ... machine learning hydrologic models for ungauged regions and climate change impact assessment.
AI for Climate Change: Revolutionizing Solutions for a Sustainable ...
AI plays a crucial role in assessing and mitigating climate-related risks. Machine learning algorithms can analyze diverse datasets, including historical ...
From Climate Stress Testing to Climate Value-at-Risk: A Stochastic ...
Rather than using a single or limited set of scenarios, we use a probabilistic approach to generate thousands of simulated pathways. We can then ...
Climate risk modeling helps organizations evaluate, adapt, mitigate, and build resilience to the risks of climate change so they are ready for the ...
Reconceptualizing the interplay between geopolitical index, green ...
... machine learning approach. Anis Jarboui, Emna Mnif, Nahed Zghidi ... risk, climate risk and energy markets from an international perspective.
Predicting Corporate Carbon Footprints for Climate Finance Risk ...
This paper uses machine learning to improve the prediction of corporate emissions so that financial regulators and investors can make better decisions about ...
How can artificial intelligence help tackle climate change? - Greenly
Its ability to learn, predict, and innovate is transforming our approach. From optimizing renewable energy sources to predicting weather ...
Early View Article - Sustainability risk in insurance companies
Our objective is to analyse the impact of physical risk in a home insurance portfolio and to measure in economic terms the effect of climate change in the ...
Assessing Financial Risks from Physical Climate Shocks
There is a deep litera- ture and practice on assessing the economic impacts of physi- cal climate shocks that can be drawn upon. This paper argues that there ...
AI and Climate Risk Analytics | Imperial College Business School
Downscaling of physical risks for climate risk scenario design. ... In this strand of work we use machine learning to downscale global climate model outputs to ...
... assessing their financial impact ... Entelligent's climate scenario analysis and climate risk approach—which are patented—use sophisticated ...