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Towards family-friendly conferences: results from a first survey in the geosciences

Balancing academic careers and family responsibilities presents significant challenges, particularly for early-career researchers attending conferences. These events are essential for professional development but often create logistical difficulties for parents. Based on a survey of geoscientists, we show that parents require more support and non-parents largely approve of family-friendly measures. We provide practical guidelines to help conference organizers support researchers with families.

Hysteresis and irreversibility in permafrost physical response to increase and decrease of CO₂ emissions

We investigated a response of permafrost using an Earth system model driven by an idealized overshooting carbon emission scenario, and found that the permafrost response to warming and cooling is reversible in the area but irreversible in its property. The permafrost response shows hysteresis, arising from a slow soil response tied to heat conductivity and specific heat of water phase change. A carbon release from thawed permafrost accounts for 0.6–41% of the cumulative carbon emission.

Chlorophyll a variation trends in marginal seas: assessing the impact of global warming and anthropogenic activities using time-series satellite data (1998–2020)

Analyzing 1998–2020 satellite data, this study finds global warming reduces offshore Chl a in open marginal seas, a trend extending nearshore. In contrast, Chl a in highly polluted enclosed seas remains unaffected by warming, dominated instead by nutrient inputs. Successful environmental policies reducing pollution may inadvertently accelerate the climate-driven Chl a decline, revealing a complex ecological trade-off.

AngleCam V2: Predicting leaf inclination angles across taxa from daytime and nighttime photos

To adapt to changing environmental conditions, plants can adjust their leaf angles. We developed AngleCam V2, an AI method that estimates leaf inclination angles from photos taken during day and night. Trained on thousands of images from about 200 species, it monitors daily changes in leaf angle, aligns with laser-scanning data, and detects systematic shifts under water limitation. AngleCam V2 provides an open-source tool for monitoring leaf angle dynamics over time, taxa, and environments.

Catalogue of strong nonlinear surprises in ocean, sea-ice, and atmospheric variables in CMIP6

We present a first catalogue of abrupt changes/state transitions in ocean, sea-ice, and atmospheric variables in future Coupled Model Intercomparison Project Phase 6 climate scenarios. We find many models that show Arctic sea-ice disappearance, North Atlantic winter mixed-layer collapse and/or subsequent transition of the Atlantic Meridional Overturning Circulation to a weak state. We find more abrupt changes/state transitions than in previous work at lower global warming levels.

Rapid Evaluation Framework for the CMIP7 Assessment Fast Track

The Rapid Evaluation Framework (REF) is a community-driven platform for benchmarking and performance assessment of Earth system models. Built upon four disparate community evaluation tools, the REF is designed to provide model-data comparisons for the Assessment Fast Track for the Seventh Phase of the Coupled Model Intercomparison Project. The REF will be run at the Earth System Grid Federation to enable model devleopers and scientists to quickly identify model biases and performance issues.

Climate change may increase landslide frequency despite generally drier conditions in the Mediterranean area

Natural Hazards and Earth System Sciences
DOI 10.5194/nhess-26-3723-2026
10 August 2026

We present a framework linking projected rainfall with hydro-mechanical processes to assess landslide occurrences in a Mediterranean area, under RCP4.5 and RCP8.5. Despite generally drier soils, landslide frequency rises because shifts in the timing and intensity of rainfall, altering antecedent soil moisture during triggering events. This counterintuitive result highlights the importance of rainfall patterns in slope stability and informs climate-risk assessment and adaptation planning.

An update to the expression of atmospheric refractivity for GNSS signals

Refinement of previous work on atmospheric refractivity, providing an expression as a function of air density, temperature, and composition. Studies with radio occultations in weather prediction show that the formulation of refractivity is critical with large data volumes. Compared to earlier work, this study incorporates updated fundamental measurements, accounts for variability in atmospheric composition, and extends the model to include hydrometeors.

New insights into decadal climate variability in the North Atlantic revealed by data-driven dynamical models

We use artificial intelligence to learn simple equations from historical climate data that describe how North Atlantic ocean temperature, air pressure and rainfall vary and influence each other over decades. Analysing the model's behaviour and equation terms, we find rainfall strongly feeds back on both the ocean and the atmosphere. These interactions are well captured by the models and allow rainfall to be predicted over the ocean, and nearby regions such as Europe over coming decades.

Reviews and syntheses: Eddy covariance-based evapotranspiration partitioning

It is important to understand how much water is lost from plant processes to better understand ecosystem dynamics and the global water cycle. This review summarizes methods developed to partition plant water loss from total ecosystem water loss measurements. Eleven independent methods were identified, each reliant on various ecosystem assumptions. The methods were applied across 129 independent studies, reporting that globally, plant water loss accounts for 57 % of total ecosystem water loss.

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