Sediment export from glaciated basins involves complex interactions between ice flow, basal erosion and sediment transfer in subglacial and proglacial streams. In particular, we know very little about the processes associated with sediment transfer by subglacial streams. The Haut Glacier d'Arolla (VS, Switzerland) was investigated during the summer melt season of 2015. LiDAR survey revealed positive surface changes in the ablation zone, indicating glacier uplift, at the end of the morning during the period of peak ablation. Instream measures of sediment transport showed that suspended load and bedload responded differently to diurnal flow variability. Suspended load depended on the availability of fine material whereas bedload depended mainly on the competence of the flow. Interpretation of these results allowed development of a conceptual model of subglacial sediment transport dynamics. It is based upon the mechanisms of clogging (deposition) and flushing (transport/erosion) in sub‐glacial channels as forced by diurnal flow variability. Through the melt season, the glacier hydrological response evolves from being buffered by glacier snow cover with a poorly developed subglacial drainage system to being dominated by more rapid ice melt with a more hydraulically efficient subglacial channel system. The resultant changes in the shape of diurnal discharge hydrographs, and notably higher peak flows and lower base flows, causes sediment transport to become discontinuous, with overnight clogging and late morning flushing of subglacial channels. Overnight clogging may be sufficient to reduce subglacial channel size, creating temporarily pressurized flow and lateral transfer of water away from the subglacial channels, leading to the late morning glacier surface uplift. However, without further data, we cannot exclude other hypotheses for the uplift. © 2018 John Wiley & Sons, Ltd.

The term metabolism describes the carbon and energy transfer in, out, and within a living system, which may refer to the level of individual organisms as well as to the scale of entire ecosystems. In the aquatic environment, the functioning of ecosystem metabolism is often described by the rates of gross primary production (GPP) and ecosystem respiration (R), which together build the metabolic balance of a system,

Whiting events are transient phenomena commonly occurring in hardwater lakes and manifesting as a turquoise coloration of surface waters during massive calcium carbonate precipitation. While biological and physico‐chemical drivers of carbonate precipitation are known, their relative contributions in controlling whiting events' timing and spatial extent remain poorly understood. Coupling spatially resolved data obtained for two sampling surveys using multiple analytical techniques and geochemical modeling, this study investigated the mechanisms underlying a whiting event during the early summer of 2019 in Lake Geneva. Satellite observations showed that the phenomenon started during a snowmelt period in the catchment at the Rhône River delta before spreading along the lake's northern shore and covering vast areas of its deeper basin. Authigenic calcite precipitated at the river mouth during mixing of warmer calcite super‐saturated lake surface waters with colder snowmelt‐diluted, sediment‐rich river water containing detrital carbonates as potential nucleation sites. The development of the whiting event depended upon the thermal stratification of the water column and the existence of a physically stable metalimnion, within which a river interflow transported finer particles across the lake. During transport, the whiting plume enriched in authigenic carbonates by settling of coarser detrital particles and additional precipitation likely both on the fine‐grained carbonate fraction and through biologically induced mechanisms in the superficial layers of the lake. This study provides novel mechanistic insights on the conditions controlling whiting events in lakes, highlighting a tight coupling of their dynamics with processes acting at the catchment scale.

Abstract. The gas transfer velocity (k) is a major source of uncertainty when assessing the magnitude of lake gas exchange with the atmosphere. For the diversity of existing empirical and process-based k models, the transfer velocity increases with the level of turbulence near the air–water interface. However, predictions for k can vary by a factor of 2 among different models. Near-surface turbulence results from the action of wind shear, surface waves, and buoyancy-driven convection. Wind shear has long been identified as a key driver, but recent lake studies have shifted the focus towards the role of convection, particularly in small lakes. In large lakes, wind fetch can, however, be long enough to generate surface waves and contribute to enhance gas transfer, as widely recognised in oceanographic studies. Here, field values for gas transfer velocity were computed in a large hard-water lake, Lake Geneva, from CO2 fluxes measured with an automated (forced diffusion) flux chamber and CO2 partial pressure measured with high-frequency sensors. k estimates were compared to a set of reference limnological and oceanic k models. Our analysis reveals that accounting for surface waves generated during windy events significantly improves the accuracy of k estimates in this large lake. The improved k model is then used to compute k over a 1-year time period. Results show that episodic extreme events with surface waves (6 % occurrence, significant wave height > 0.4 m) can generate more than 20 % of annual cumulative k and more than 25 % of annual net CO2 fluxes in Lake Geneva. We conclude that for lakes whose fetch can exceed 15 km, k models need to integrate the effect of surface waves.

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