Karsten Schulz
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View article: Enhancing snow depth estimation with snow cover geometrical descriptors
Enhancing snow depth estimation with snow cover geometrical descriptors Open
Snow depth (SD) estimations are very valuable in particular for snow-hydrological modelling, water resource management, ecological studies, and natural hazard assessment such as avalanche forecasting. In statistical SD models, snow-covered…
View article: Soil moisture and precipitation intensity jointly control the transit time distribution of quick flow in a flashy headwater catchment
Soil moisture and precipitation intensity jointly control the transit time distribution of quick flow in a flashy headwater catchment Open
The rainfall–runoff transformation in catchments usually follows a variety of slower and faster flow paths, leading to a mixture of “younger” and “older” water in streamflow. Previous studies have investigated the time-variable distributio…
View article: Distilling Hydrological and Land Surface Model Parameters from Physio-Geographical Properties Using Text-Generating AI
Distilling Hydrological and Land Surface Model Parameters from Physio-Geographical Properties Using Text-Generating AI Open
The estimation of parameters for distributed hydrological and land-surface models is inherently difficult, particularly in data-scarce regions. We present a novel approach that employs variational autoencoders (VAEs) that have been trained…
View article: Lehrforst Rosalia – Long-term forest monitoring for improved ecosystem understanding
Lehrforst Rosalia – Long-term forest monitoring for improved ecosystem understanding Open
Generating long-term ecological data is essential for understanding how ecosystems respond to environmental stressors and is a core motivation of the eLTER research infrastructure. At Lehrforst Rosalia, a forest site in eastern Austria, we…
View article: Regional-scale assessment of groundwater recharge and the water balance for Austria
Regional-scale assessment of groundwater recharge and the water balance for Austria Open
Study Region: The study area covers Austria (83 900km2) and neighboring regions with transboundary river basins. Study Focus: Knowledge of regional groundwater recharge patterns is essential for sustainable water resource management. Curre…
View article: Non-invasive monitoring of high-alpine snow dynamics with Cosmic-Ray neutron sensing – a case study at two locations at the Zugspitze Massif 
Non-invasive monitoring of high-alpine snow dynamics with Cosmic-Ray neutron sensing – a case study at two locations at the Zugspitze Massif  Open
Monitoring snow water resources is crucial to understand the dynamics of snow-fed mountain rivers. Still, in harsh and remote environments like mountain regions using conventional measurement techniques remains particularly challenging. Co…
View article: Signals of a superconducting gravimeter at the high-alpine Mt. Zugspitze show that a satellite-derived snow depth image improves the simulation of the snow water equivalent evolution
Signals of a superconducting gravimeter at the high-alpine Mt. Zugspitze show that a satellite-derived snow depth image improves the simulation of the snow water equivalent evolution Open
Estimating the amount of snow, its evolution and spatiotemporal distribution in complex high-alpine terrain is currently considered as one of the most important challenges in alpine hydrology and water resources management. This is predomi…
View article: From multiple meteorological forecasts to river runoff: Learning and adjusting real-time biases to enhance predictions
From multiple meteorological forecasts to river runoff: Learning and adjusting real-time biases to enhance predictions Open
Deep learning models such as the Long Short Term Memory Network (LSTM) are capable of representing rainfall-runoff relationships and outperform classical hydrological models in gauged and ungauged settings (Kratzert et al., 2018). Previous…
View article: Superconducting Gravimeter Observations Show That a Satellite‐Derived Snow Depth Image Improves the Simulation of the Snow Water Equivalent Evolution in a High Alpine Site
Superconducting Gravimeter Observations Show That a Satellite‐Derived Snow Depth Image Improves the Simulation of the Snow Water Equivalent Evolution in a High Alpine Site Open
The lack of accurate information on the spatiotemporal variations of snow water equivalent (SWE) in mountain catchments remains a key problem in snow hydrology and water resources management. This is partly because there is no sensor to me…
View article: Soil moisture and precipitation intensity control the transit time distribution of quick flow in a flashy headwater catchment
Soil moisture and precipitation intensity control the transit time distribution of quick flow in a flashy headwater catchment Open
The rainfall-runoff transformation in catchments usually follows a variety of slower and faster flow paths which leads to a mixture of “younger” and “older” water in streamflow. Previous studies have investigated the time-variable distribu…
View article: Superconducting gravimeter observations show that a satellite-derived snow depth image improves the simulation of the snow water equivalent evolution in a high alpine site
Superconducting gravimeter observations show that a satellite-derived snow depth image improves the simulation of the snow water equivalent evolution in a high alpine site Open
The lack of accurate information on the snow water equivalent (SWE) including its spatio-temporal variations in mountain catchments remains a key problem in snow hydrology and water resources management. This is partly because there is no …
View article: On the sensitivity and robustness of Austrian-wide water balance components & groundwater recharge: A regional-scale evaluation of objective functions in calibration 
On the sensitivity and robustness of Austrian-wide water balance components & groundwater recharge: A regional-scale evaluation of objective functions in calibration  Open
Regional water resource management requires adaptation measures to cope with a changing environment and climate. Large- and regional-scale hydrological models can provide information on water cycle components and their future projections f…
View article: Tracking high-alpine snow mass evolution using signals of a superconducting gravimeter combined with snowpack modelling and stereo satellite imagery
Tracking high-alpine snow mass evolution using signals of a superconducting gravimeter combined with snowpack modelling and stereo satellite imagery Open
Monitoring the amount of snow, its spatiotemporal distribution as well as the onset and amount of snow-melt induced runoff generation are key challenges in alpine hydrology. Cryo-hydro-gravimetry is a non-invasive method of observing tempo…
View article: Integrating High-Resolution Tracer Data with Soil Moisture and Precipitation Dynamics to Characterize Streamflow Age Distribution in a Headwater Catchment
Integrating High-Resolution Tracer Data with Soil Moisture and Precipitation Dynamics to Characterize Streamflow Age Distribution in a Headwater Catchment Open
The partitioning of rainfall into different hydrological components, such as lateral subsurface flow,  overland flow, and soil water storage, is essential for understanding and predicting streamflow responses and contaminant tran…
View article: Morphological indexes to describe snow-cover patterns in a high-alpine area
Morphological indexes to describe snow-cover patterns in a high-alpine area Open
The spatiotemporal distribution of snow affects hydrological and climatological processes at different scales. Accordingly, quantifying geometric features of snow-cover patterns is important, providing a valuable complement for snow water …
View article: Agricultural Practices and Soil and Water Conservation in the Transboundary Region of Kenya and Uganda: Farmers’ Perspectives of Current Soil Erosion
Agricultural Practices and Soil and Water Conservation in the Transboundary Region of Kenya and Uganda: Farmers’ Perspectives of Current Soil Erosion Open
Poor agricultural practices among small-scale sub-Saharan African farmers can lead to soil erosion and reduce agricultural productivity. However, information on such practices is normally not well documented, making it challenging to desig…
View article: Soil information on a regional scale: Two machine learning based approaches for predicting saturated hydraulic conductivity
Soil information on a regional scale: Two machine learning based approaches for predicting saturated hydraulic conductivity Open
Saturated hydraulic conductivity (Ksat) and other soil (hydraulic) properties are fundamental for applications that depend on modeling hydrological processes, such as the quantification of future groundwater recharge rates. Yet, for most a…
View article: Seasonal evaluation of morphological indexes in quantifying snow cover patterns in the Zugspitze area
Seasonal evaluation of morphological indexes in quantifying snow cover patterns in the Zugspitze area Open
The spatiotemporal distribution of snow cover affects several processes at different scales, such as the Earth’s energy balance, the hydrological cycle and ecosystems functions, with important implications on many aspects of human li…
View article: Utilization of snow depth patterns to derive spatially distributed precipitation correction factors for operational hydrological modelling
Utilization of snow depth patterns to derive spatially distributed precipitation correction factors for operational hydrological modelling Open
Simulations and information on snow cover dynamics and snowmelt in high-alpine catchments are essential for the operation of storage hydropower plants in order to predict reservoir inflow during the snowmelt season. The distribution of the…
View article: Tracking water movement through a small agricultural catchment using StorAge Selection functions and hydrologic modeling
Tracking water movement through a small agricultural catchment using StorAge Selection functions and hydrologic modeling Open
 Determining the processes that drive streamflow generation and catchment-scale transport of nutrients and pollutants by water is one of the challenges of modern hydrology. In the last decades, substantial knowledge has been gained fr…
View article: RechAUT - Variability of Groundwater Recharge and its Implication for Sustainable Land Use in Austria
RechAUT - Variability of Groundwater Recharge and its Implication for Sustainable Land Use in Austria Open
Water in the vadose zone is an essential part of the global water cycle making up some of the largest freshwater resources on Earth. Climate as well as land use change are known to alter water fluxes in the vadose zone, and thus changes in…
View article: Automatic Regionalization of Model Parameters for Hydrological Models
Automatic Regionalization of Model Parameters for Hydrological Models Open
Parameter estimation is one of the most challenging tasks in large‐scale distributed modeling, because of the high dimensionality of the parameter space. Relating model parameters to catchment/landscape characteristics reduces the number o…
View article: Soil information on a regional scale: Two machine learning based approaches for predicting saturated hydraulic conductivity
Soil information on a regional scale: Two machine learning based approaches for predicting saturated hydraulic conductivity Open
Version 1.0 - This version is the final revised one. This is the dataset accompanying the paper: Zeitfogel et al., Soil information on a regional scale: Two machine learning based approaches for predicting saturated hydraulic conductivity,…
View article: Soil information on a regional scale: Two machine learning based approaches for predicting saturated hydraulic conductivity
Soil information on a regional scale: Two machine learning based approaches for predicting saturated hydraulic conductivity Open
Version 1.0 - This version is the final revised one. This is the dataset accompanying the paper: Zeitfogel et al., Soil information on a regional scale: Two machine learning based approaches for predicting saturated hydraulic conductivity,…
View article: Soil information on a regional scale: Two Machine Learning based approaches for predicting Ksat
Soil information on a regional scale: Two Machine Learning based approaches for predicting Ksat Open
Version Submission: Please be aware that this version of the dataset is NOT the final revised one! Soil property and Ksat maps for Austria. The digital soil maps were generated based on a Machine Learning and PTF-based approach (indirect a…