output
20162025
most citedYoung People's Burden: Requirement of Negative CO2 Emissions

248 citations

5 papers

physics.ao-ph2025

Neural ocean forecasting from sparse satellite-derived observations: a case-study for SSH dynamics and altimetry data

Daria Botvynko, Pierre Haslée, Lucile Gaultier +5

We present an end-to-end deep learning framework for short-term forecasting of global sea surface dynamics based on sparse satellite altimetry data. Building on two state-of-the-ar…

physics.ao-ph2025★ 1 cited

Hybrid machine learning data assimilation for marine biogeochemistry

Ieuan Higgs, Ross Bannister, Jozef Skákala +2

Marine biogeochemistry models are critical for forecasting, as well as estimating ecosystem responses to climate change and human activities. Data assimilation (DA) improves these…

physics.flu-dyn2024★ 8 cited

GLONET: Mercator's end-to-end neural Global Ocean forecasting system

Anass El Aouni, Quentin Gaudel, Charly Regnier +5

Accurate ocean forecasting is crucial in different areas ranging from science to decision making. Recent advancements in data-driven models have shown significant promise, particul…

physics.ao-ph2022★ 8 cited

Global warming in the pipeline

James E. Hansen, Makiko Sato, Leon Simons +14

Improved knowledge of glacial-to-interglacial global temperature change implies that fast-feedback equilibrium climate sensitivity (ECS) is 1.2 +/- 0.3°C (2) per W/m. Consis…

physics.ao-ph2016★ 248 cited

Young People's Burden: Requirement of Negative CO2 Emissions

James Hansen, Makiko Sato, Pushker Kharecha +9

Global temperature is a fundamental climate metric highly correlated with sea level, which implies that keeping shorelines near their present location requires keeping global tempe…