• Natural Hazards and Earth System Sciences
• DOI 10.5194/nhess-19-1653-2019
• 7 August 2019

The article presents the Alsatian regional flood risk observatory ORRION, a participative online platform on which information is shared between individuals, stakeholders, engineers, and scientists. This maximizes knowledge capitalization and contributes to building a common knowledge base for flood risk. From this information, long chronicles of floods are derived for the Rhine, and most of its main Alsatian tributaries and their main characteristics are identified and analysed.

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• Hydrology and Earth System Sciences
• DOI 10.5194/hess-23-3155-2019
• 31 July 2019

Salinity is one of the most common water quality threats in river basins and irrigated regions worldwide. Available watershed models, however, do not simulate the fate and transport of salt species. This paper presents a modified version of the popular SWAT watershed model that simulates the transport of major salt ions in a watershed system. Salt is transported via surface runoff, soil percolation, groundwater flow, and streamflow. The model can be used in salt-affected watersheds worldwide.

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• Hydrology and Earth System Sciences
• DOI 10.5194/hess-23-3117-2019
• 23 July 2019

Flooding can arise from multiple sources, including waves, extreme sea levels, rivers, and severe rainfall. When two or more sources combine, the consequences can be greatly multiplied. We find the potential for the joint occurrence of extreme sea levels and river discharge to be greater on the western coast of the UK compared to the eastern coast. This is due to the weather conditions generating each flood source around the UK. These results will help increase our flood forecasting ability.

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• Natural Hazards and Earth System Sciences
• DOI 10.5194/nhess-19-1319-2019
• 5 July 2019

Considering flood risk composed of hazard, exposure, and vulnerability from global to local scales, this paper reviews and presents increasing observed flood losses and projections of flood hazard and losses. We acknowledge existence of multiple driving factors and of considerable uncertainty, in particular with regards to projections for the future. Finally, this paper analyses options for flood risk reduction from a global framework to regional and local scales.

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• Hydrology and Earth System Sciences
• DOI 10.5194/hess-23-2637-2019
• 19 June 2019

Most commercial automatic rain samplers are costly and do not prevent evaporation from the collection bottles. Hence, we have developed a microcontroller-based collector enabling timer-actuated integral rain sampling. The simple, low-cost device is robust and effectively minimizes post-sampling evaporation. The excellent performance of the collector during an evaporation experiment in a lab oven suggests that even multi-week field deployments in warm climates are feasible.

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• Earth System Dynamics
• DOI 10.5194/esd-10-333-2019
• 14 June 2019

Processes causing the same global-average radiative forcing might lead to different global temperature changes. We expand the theoretical framework by which we calculate paleoclimate sensitivity with an efficacy factor. Applying the revised approach to radiative forcing caused by CO₂and land ice albedo perturbations, inferred from data of the past 800 000 years, gives a new paleo-based estimate of climate sensitivity.

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• Natural Hazards and Earth System Sciences
• DOI 10.5194/nhess-19-1129-2019
• 13 June 2019

The work addresses the need for reliable precipitation forecasts in hyper-arid environments through state-of-the-art hydro-meteorological modeling. Accounting for land–atmosphere interactions in the applied model is shown to improve the accuracy of precipitation output. The chain of events controlling the soil moisture–precipitation feedback are diagnosed and verified by in situ observations and satellite data.

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• Geoscience Communication
• DOI 10.5194/gc-2-95-2019
• 29 May 2019

Humanity’s situation with respect to climate change is sometimes likened to that of a frog in a slow-boiling pot of water. But are we telling the frog what he needs to know? Most climate science is communicated to governments in the form of predictions of what is most likely to happen. I argue it should instead answer the following questions: what is the worst that could happen, and how likely will that become as time goes by? The risks and need to act will then become much clearer to see.

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• Hydrology and Earth System Sciences
• DOI 10.5194/hess-23-2261-2019
• 10 May 2019

This study applies a two-way coupled agent-based model (ABM) with a river-reservoir management model (RiverWare) to analyze the role of risk perception in water management decisions using the Bayesian inference mapping joined with the cost–loss model. The calibration results capture the dynamics of historical irrigated area and streamflow changes and suggest that the proposed framework improves the representation of human decision-making processes compared to conventional rule-based ABMs.

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• Natural Hazards and Earth System Sciences
• DOI 10.5194/nhess-19-957-2019
• 2 May 2019

A state-of-the-art regional climate model ensemble for Europe is investigated for extreme precipitation intensities. The models poorly reproduce short duration events of less than a few hours. Further, there is poor connection to some known hotspots for extreme cases. The model performance is much improved at 12 h durations. Projected future increases scale with seasonal mean temperature change, within a range from a few percent to over 10 percent per degree Celsius.

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