Preliminary evaluation of the ECMWF 6th generation ocean and sea-ice reanalysis system (ORAS6)
Copernicus Publications (2023)
Assessing the Impact of Ocean In Situ Observations on MJO Propagation Across the Maritime Continent in ECMWF Subseasonal Forecasts
Journal of Advances in Modeling Earth Systems American Geophysical Union (AGU) 15:2 (2023)
Tropical cyclone-induced cold wakes in the northeast Indian Ocean
Environmental Science: Atmospheres Royal Society of Chemistry 2:3 (2022) 404-415
Abstract:
The physical processes during cyclone passage over the ocean. Air鈥搒ea interactions.Seasonal Arctic sea ice forecasting with probabilistic deep learning
Nature Communications Nature Research 12:1 (2021) 5124
Abstract:
Anthropogenic warming has led to an unprecedented year-round reduction in Arctic sea ice extent. This has far-reaching consequences for indigenous and local communities, polar ecosystems, and global climate, motivating the need for accurate seasonal sea ice forecasts. While physics-based dynamical models can successfully forecast sea ice concentration several weeks ahead, they struggle to outperform simple statistical benchmarks at longer lead times. We present a probabilistic, deep learning sea ice forecasting system, IceNet. The system has been trained on climate simulations and observational data to forecast the next 6 months of monthly-averaged sea ice concentration maps. We show that IceNet advances the range of accurate sea ice forecasts, outperforming a state-of-the-art dynamical model in seasonal forecasts of summer sea ice, particularly for extreme sea ice events. This step-change in sea ice forecasting ability brings us closer to conservation tools that mitigate risks associated with rapid sea ice lossOn the Treatment of Soil Water Stress in GCM Simulations of Vegetation Physiology
Frontiers in Environmental Science Frontiers 9 (2021) 689301