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Ocean-Land-Atmosphere Research (OLAR)


Arctic ozone soars in 2024 due to series of extraordinary atmospheric events

Scientists have discovered that record-high Arctic stratospheric ozone levels observed in March 2024 were caused by exceptionally strong planetary waves, El Niño, and other large-scale climate oscillations. The study's findings highlight the growing importance of atmospheric dynamics in controlling Arctic ozone variability.

SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeObservational study·DateJul 22, 2026

The merits and pitfalls of metaphor use in science communication

Researchers explore two popular metaphors for describing climate-related issues: the ocean conveyor belt and tipping point metaphors. While they have scientific origins and helped foster interdisciplinary communications, oversimplification can lead to misunderstanding. Dr. Gerrit Lohmann suggests integrating communication research with...

SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeCommentary/editorial·DateMay 7, 2026

Pacific annular warming elevates the 2026/27 El Niño prediction

Researchers have forecasted a super El Niño event toward the end of 2026, driven by a rare and extreme surface annular warming pattern in the tropical Pacific. The current heat content buildup alone would generate a moderate El Niño, but adding the influence of annular warming intensifies it into the super category.

SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeComputational simulation/modeling·DateApr 21, 2026

Improved short-term sea level change predictions with better AI training

Researchers developed a new AI-based SLA forecasting model that outperforms existing approaches and can be widely applied to other prediction tasks. The Multistep-Earthformer model achieves high-accuracy short- and medium-range sea level anomaly forecasting by optimizing training strategies.

SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeComputational simulation/modeling·DateFeb 26, 2026

Early-summer Arctic ice melt impacts late-summer Indian monsoon rainfall

Researchers found a strong inverse correlation between Arctic sea ice extent and Indian summer monsoon rainfall on interannual timescales. Decreased Arctic sea ice variability during June to July leads to increased rainfall over western and northwestern India, indicating a westward shift in the monsoon season.

SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeObservational study·DateFeb 23, 2026

Team evaluates CMIP6 climate models that simulate multiyear El Niño events

A research team evaluated 39 CMIP6 climate models to better understand their performance in simulating multiyear El Niño events and their impact on southern China's spring precipitation. Most models struggle to reproduce the associated precipitation anomalies, highlighting substantial inter-model differences.

SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeData/statistical analysis·DateJan 15, 2026

New oceanic data assimilation system improves prediction accuracy

A new global ocean data assimilation system has been developed to improve the accuracy of sea-surface temperature and sea-level anomaly forecasts. The YHGO platform integrates a fully nonlinear and non-Gaussian data assimilation method with a mass-conserving ocean model, leading to improved performance compared to existing systems.

SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeComputational simulation/modeling·DateDec 14, 2025

Integrated atmosphere-to-seafloor monitoring needed to better forecast cyclones, researchers say

A team of researchers emphasizes the need for an intelligent observation network to track and forecast tropical cyclones. By combining unmanned aerial, surface, and underwater vehicles, they aim to create a dynamic observation network across the atmosphere, ocean surface, and water column.

SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeSystematic review·DateDec 10, 2025

Nature-inspired solution softens impacts of hard coastal structures

Researchers developed artificial mangrove roots that mimic natural mangrove root systems, serving as an additional option to mitigate erosion in areas where hard structures have caused negative end effects. AMRs allow water to pass through and help reduce wave impact, promoting sediment retention and enhancing shoreline stability.

SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeObservational study·DateNov 16, 2025

What we know and what we need to know about Antarctic marine viruses

Researchers aim to fill the knowledge gap on Antarctic marine viruses, particularly RNA viruses, to understand their ecological importance. They highlight the need for further research on viral tagging, single-cell sequencing, and studying the marginal ice zone to expand our understanding of these viruses.

SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeLiterature review·DateOct 14, 2025

New unmanned submersible developed to collect typhoon data and improve forecasting

The Blue Whale, an 11-meter submersible unmanned vessel, can collect comprehensive water column parameter data while eliminating risks to human life. It is designed to operate in extreme sea states and enhance disaster preparedness through accurate typhoon intensity forecasts and marine condition warnings.

SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeNews article·DateSep 25, 2025

How pre- and post-monsoon information can shape cyclone preparedness in the Bay of Bengal

Researchers found significant differences in oceanic conditions between pre- and post-monsoon tropical cyclones in the Bay of Bengal. The study highlights the importance of seasonality in cyclone intensity and the ocean's response, with potential applications for predicting cyclone impacts and developing early warning tools.

SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeData/statistical analysis·DateSep 16, 2025

Algae of polar origin may impact tropical ocean biogeochemistry, food webs

Researchers discovered Polarella, a type of dinoflagellate, in the Eastern Tropical North Pacific Ocean, which contributes significantly to global primary production. The study found increased stress response genes and opportunistic lifestyle in Polarella, suggesting its ecological and biogeochemical role in tropical oceans.

SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeData/statistical analysis·DateJul 7, 2025

Air-Sea interaction modeling mystery solved, researchers report

A new study has discovered that increasing ocean resolution is key to accurately simulating AMO variability, particularly at multidecadal timescales. High-resolution ocean experiments correctly showed the AMO lasting 40-80 years, while low-resolution ocean experiments showed unrealistic cycles every 10-20 years.

SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeExperimental study·DateApr 24, 2025

Eddy-mean flow energy exchange depends on three variables

Researchers found that the eddy-mean kinetic energy exchange term is separated into three parts: one associated with cross-stream variation, one with along-stream variation, and one with mean flow direction. This new framework describes eddy-mean energy exchange without accounting for forces or physical properties.

SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeData/statistical analysis·DateFeb 19, 2025

Integrated design of Global Ocean Observing System essential to monitor climate change

The study found that different instrumental systems in the Global Ocean Observing System (GOOS) complement each other and are essential for accurately monitoring ocean warming. The GOOS, which includes platforms such as free drifting instrumented floats, mooring buoys, and autonomous pinniped data, provides a comprehensive view of ocea...

SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeObservational study·DateJan 29, 2024

Sulfur-cycling microbes could lead to new possibilities in river-wetland-ocean remediation

Researchers propose a conceptual framework for understanding the diversity and composition of sulfur-cycling microbes in river-wetland-ocean continuum. They recommend developing new cultivation methods and studying life strategies, communities, and adaptations to improve ecosystem functioning through microbiome engineering.

SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeLiterature review·DateDec 5, 2023

Unmanned and unbothered: autonomous intelligent oceanic exploration is upon us

The ISOOS system uses a smart carrier as the mobile base and control center, connecting multiple UAVs, USVs, and AUVs for simultaneous 3D observation of targeted regions. This enables fast mapping of ocean floor and studying submesoscale eddies, previously difficult to access due to variability in space and time.

SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeNews article·DateOct 8, 2023

Global droughts differ by coastal or inland location; only 40% accompanied by heatwaves

Research from Fudan University reveals that global droughts exhibit distinct characteristics based on their geographical location, with only 40% of coastal droughts accompanying heatwaves. The study developed a clustering algorithm to analyze drought events and found significant differences in symmetry between inland and coastal types.

SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeData/statistical analysis·DateSep 12, 2023

AI-enabled forecasting model predicts nearly two years of ENSO events

A new AI-enabled forecasting model can predict ENSO events for up to 22 months, overcoming the limitations of previous models. The Spatio-Temporal Information Extraction and Fusion (STIEF) model uses deep learning to extract space and time features and fuse them together, providing a more accurate prediction length.

SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeData/statistical analysis·DateMay 21, 2023

Why Antarctic ice shelves are losing their mass and how it leads to global sea level rise

Researchers investigate the impact of oceanic warming on Antarctic ice shelves, highlighting the role of circumpolar deep water in causing melting and calving. The study emphasizes the need for improved understanding and modeling to predict future sea levels and their effects on coastal communities.

SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeLiterature review·DateMay 18, 2023

Researchers call for the science needed to get the ocean we want

The High Seas Treaty aims to establish cooperative approaches to improve ocean management, but scientists argue that more research is needed to effectively implement the agreement. The treaty proposes massive marine protected areas covering 30% of the ocean by 2030, which could significantly improve ocean conservation.

SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeCommentary/editorial·DateMar 30, 2023

Antarctic sea ice at lowest level in 45 years marks a reversal from the long-term increasing trend to a decreasing trend

Satellite observations reveal Antarctic sea ice extent has dropped to a record low of 1.788 million square kilometers, marking a reversal from long-term increasing trend to a decreasing one. This occurrence raises questions about the cause and implications of this change, particularly in light of human-caused global warming.

SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeNews article·DateMar 5, 2023