An inter-comparison of approaches and frameworks to quantify irrigation from satellite data Hydrology and Earth System Sciences DOI 10.5194/hess-28-441-2024 7 February 2024 This study provides a comparison of methodologies to quantify irrigation to enhance regional irrigation estimates. To evaluate the methodologies, we compared various approaches to quantify irrigation using soil moisture, evapotranspiration, or both within a novel baseline framework, together with irrigation estimates from other studies. We show that the synergy from using two equally important components in a joint approach within a baseline framework yields better irrigation estimates. Read more
Uncertainty assessment of satellite remote-sensing-based evapotranspiration estimates: a systematic review of methods and gaps Hydrology and Earth System Sciences DOI 10.5194/hess-27-4505-2023 15 December 2023 Satellite data are increasingly used to estimate evapotranspiration (ET) or the amount of water moving from plants, soils, and water bodies into the atmosphere over large areas. Uncertainties from various sources affect the accuracy of these calculations. This study reviews the methods to assess the uncertainties of such ET estimations. It provides specific recommendations for a comprehensive assessment that assists in the potential uses of these data for research, monitoring, and management. Read more
Simulated hydrological effects of grooming and snowmaking in a ski resort on the local water balance Hydrology and Earth System Sciences DOI 10.5194/hess-27-4257-2023 29 November 2023 Ski resorts are a key socio-economic asset of several mountain areas. Grooming and snowmaking are routinely used to manage the snow cover on ski pistes, but despite vivid debate, little is known about their impact on water resources downstream. This study quantifies, for the pilot ski resort La Plagne in the French Alps, the impact of grooming and snowmaking on downstream river flow. Hydrological impacts are mostly apparent at the seasonal scale and rather neutral on the annual scale. Read more
Technical note: NASAaccess – a tool for access, reformatting, and visualization of remotely sensed earth observation and climate data Hydrology and Earth System Sciences DOI 10.5194/hess-27-3621-2023 16 October 2023 We present an open-source platform in response to the NASA Open-Source Science Initiative for accessing and presenting quantitative remote-sensing earth observation,and climate data. With our platform scientists, stakeholders and concerned citizens can engage in the exploration, modelling, and understanding of data. We envisioned this platform as lowering the technical barriers and simplifying the process of accessing and leveraging additional modelling frameworks for data. Read more
Calibration of groundwater seepage against the spatial distribution of the stream network to assess catchment-scale hydraulic properties Hydrology and Earth System Sciences DOI 10.5194/hess-27-3221-2023 6 September 2023 We propose a model calibration method constraining groundwater seepage in the hydrographic network. The method assesses the hydraulic properties of aquifers in regions where perennial streams are directly fed by groundwater. The estimated hydraulic conductivity appear to be highly sensitive to the spatial extent and density of streams. Such an approach improving subsurface characterization from surface information is particularly interesting for ungauged basins. Read more
Prediction of the absolute hydraulic conductivity function from soil water retention data Hydrology and Earth System Sciences DOI 10.5194/hess-27-1565-2023 5 May 2023 The soil hydraulic conductivity function is usually predicted from the water retention curve (WRC) with the requirement of at least one measured conductivity data point for scaling the function. We propose a new scheme of absolute hydraulic conductivity prediction from the WRC without the need of measured conductivity data. Testing the new prediction with independent data shows good results. This scheme can be used when insufficient or no conductivity data are available. Read more
Patterns and drivers of water quality changes associated with dams in the Tropical Andes Hydrology and Earth System Sciences DOI 10.5194/hess-27-1493-2023 26 April 2023 Dams are an important and rapidly growing means of energy generation in the Tropical Andes of South America. To assess the impacts of dams in the region, we assessed differences in the upstream and downstream water quality of all hydropower dams in Colombia. We found evidence of substantial dam-induced changes in water temperature, dissolved oxygen concentration and suspended sediments. Dam-induced changes in Colombian waters violate regulations and are likely impacting aquatic life. Read more
Global evaluation of the “dry gets drier, and wet gets wetter” paradigm from a terrestrial water storage change perspective Hydrology and Earth System Sciences DOI 10.5194/hess-26-6457-2022 27 February 2023 Although the “dry gets drier, and wet gets wetter (DDWW)” paradigm is prevalent in summarizing wetting and drying trends, we show that only 11.01 %–40.84 % of the global land confirms and 10.21 %–35.43 % contradicts the paradigm during 1985–2014 from a terrestrial water storage change perspective. Similar proportions that intensify with the increasing emission scenarios persist until the end of the 21st century. Findings benefit understanding of global hydrological responses to climate change. Read more
High-resolution drought simulations and comparison to soil moisture observations in Germany Hydrology and Earth System Sciences DOI 10.5194/hess-26-5137-2022 30 December 2022 In this paper, we deliver an evaluation of the second generation operational German drought monitor (www.ufz.de/duerremonitor) with a state-of-the-art compilation of observed soil moisture data from 40 locations and four different measurement methods in Germany. We show that the expressed stakeholder needs for higher resolution drought information at the one-kilometer scale can be met and that the agreement of simulated and observed soil moisture dynamics can be moderately improved. Read more
Improving hydrologic models for predictions and process understanding using neural ODEs Hydrology and Earth System Sciences DOI 10.5194/hess-26-5085-2022 23 December 2022 Neural ODEs fuse physics-based models with deep learning: neural networks substitute terms in differential equations that represent the mechanistic structure of the system. The approach combines the flexibility of machine learning with physical constraints for inter- and extrapolation. We demonstrate that neural ODE models achieve state-of-the-art predictive performance while keeping full interpretability of model states and processes in hydrologic modelling over multiple catchments. Read more