activity
20232026
most citedTowards Accurate Forecasting of Renewable Energy : Building Datasets and Benchmarking Machine Learning Models for Solar and Wind Power in France

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

physics.ao-ph2026★ 1 cited

Atmospheric Methane Removal as a Third Climate Intervention: Termination Risks and Air Pollutant Effects

Katsumasa Tanaka, Weiwei Xiong, Didier A. Hauglustaine +8

Atmospheric Methane Removal (AMR) is a third class of climate intervention, along with Carbon Dioxide Removal (CDR) and Solar Radiation Management (SRM). We show that, unlike CDR,…

cs.LG2025

Achieving Skilled and Reliable Daily Probabilistic Forecasts of Wind Power at Subseasonal-to-Seasonal Timescales over France

Eloi Lindas, Yannig Goude, Philippe Ciais

In a growing renewable based energy system, accurate and reliable wind power forecasts are crucial for grid stability, balancing supply and demand and market risk management. Even…

eess.SP2025★ 3 cited

Towards Accurate Forecasting of Renewable Energy : Building Datasets and Benchmarking Machine Learning Models for Solar and Wind Power in France

Eloi Lindas, Yannig Goude, Philippe Ciais

Accurate prediction of non-dispatchable renewable energy sources is essential for grid stability and price prediction. Regional power supply forecasts are usually indirect through…

physics.ao-ph2024

Aligning long-term climate mitigation with enhanced methane action

Katsumasa Tanaka, Kushal Tibrewal, Philippe Ciais +1

The Global Methane Pledge and other methane measures may potentially undermine CO2 mitigation in certain countries, unless they are considered as additional to the existing Nationa…

physics.ao-ph2023

Transparent framework to assess the revision of climate pledges after the first Global Stocktake

Kushal Tibrewal, Katsumasa Tanaka, Philippe Ciais +1

To assess the impact of potential future climate pledges after the first Global Stocktake, we propose a simple, transparent framework for developing emission and temperature scenar…