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. Read more
An update to the expression of atmospheric refractivity for GNSS signals Atmospheric Measurement Techniques DOI 10.5194/amt-19-5135-2026 7 August 2026 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. Read more
New insights into decadal climate variability in the North Atlantic revealed by data-driven dynamical models Earth System Dynamics DOI 10.5194/esd-17-1061-2026 7 August 2026 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. Read more
Reviews and syntheses: Eddy covariance-based evapotranspiration partitioning Biogeosciences DOI 10.5194/bg-23-5313-2026 3 August 2026 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. Read more
disdrodb: an open-source Python package for standardized processing, sharing, and analysis of disdrometer data Atmospheric Measurement Techniques DOI 10.5194/amt-19-4943-2026 30 July 2026 disdrodb is a Python package for standardized sharing, processing, and analysis of disdrometer observations. It makes precipitation particle size distribution datasets easier to discover, access, and download, and converts heterogeneous raw measurements into global harmonized products for remote sensing precipitation retrievals and particle size distribution studies. Read more
A global high-resolution hydrological model to simulate the dynamics of surface liquid reservoirs: application on Mars Geoscientific Model Development DOI 10.5194/gmd-19-6909-2026 29 July 2026 In this paper, we present a global high-resolution hydrological model to investigate how water may have once flowed and accumulated on Mars. Using detailed topography, the model tracks how lakes and seas form, grow, merge, overflow, and dry out over time. It reveals how a vast northern ocean could emerge from smaller bodies of water. This approach links surface landforms to past climates, offering new perspectives on Mars' watery history and its potential habitability. Read more
Valley longitudinal profiles record the fluvial landscape evolution and geological structure of the Gamburtsev Subglacial Mountains, East Antarctica Earth Surface Dynamics DOI 10.5194/esurf-14-575-2026 29 July 2026 This study focusses on the Gamburtsev Subglacial Mountains, a 600 km-long mountain range that is completely hidden beneath the Antarctic Ice Sheet. We look at the valley networks within the Gamburtsevs and use these to understand how the mountains formed. Our main findings are that the valleys were first cut by rivers that existed before Antarctica was glaciated, the shape of the valleys is affected by the bedrock geology, and the mountains are probably younger than previously thought. Read more
Assessment of seismicity and risk from gas injection in the Groningen gas field Natural Hazards and Earth System Sciences DOI 10.5194/nhess-26-3443-2026 28 July 2026 Gas production from the Groningen gas field caused felt earthquakes, resulting in field closure in 2023. Despite this, earthquakes are expected to continue for years to come. This study models whether gas injection may be used to reduce earthquakes. The results suggest that, under continued zero-production scenarios, gas injection would decrease the number of earthquakes and the associated seismic risk compared to a no-injection scenario, offering a potential avenue for active mitigation. Read more
CO2 and H2O isotope exchange and flux partitioning in Amazonia Biogeosciences DOI 10.5194/bg-23-5163-2026 28 July 2026 We used high-frequency H₂O and CO₂ isotope measurements taken in the Amazon Tall Tower Observatory (ATTO) to separate water vapour and carbon dioxide fluxes into their component processes. During midday, ~95 % of evapotranspiration came from plant transpiration. Isotopes also revealed the balance between photosynthesis and respiration, showing strong sensitivity to leaf CO₂ ratios. These results improve understanding of Amazon ecosystem function. Read more
The added value of new ground-based observations in improving China's methane emission quantification Atmospheric Measurement Techniques DOI 10.5194/amt-19-4759-2026 24 July 2026 Methane is a potent greenhouse gas, yet existing satellite and ground observations in China are too sparse to accurately quantify emissions, highlighting the need for an expanded ground network. Using Bayesian inversion and simulated annealing, we identify optimal locations for new sites. Results show that prioritizing stations in eastern and southwestern China would be most effective. Expanding the network with 50 stations could nearly double the current emission constraint capability. Read more