A5025243413- Hydrology and Watershed Management Studies
- Soil Moisture and Remote Sensing
- Groundwater flow and contamination studies
- Plant Water Relations and Carbon Dynamics
- Meteorological Phenomena and Simulations
- Soil and Unsaturated Flow
- Peripheral Neuropathies and Disorders
- Climate variability and models
- Climate change and permafrost
- Reservoir Engineering and Simulation Methods
- Hereditary Neurological Disorders
- Cryospheric studies and observations
- Geophysics and Gravity Measurements
- Hydrological Forecasting Using AI
- Flood Risk Assessment and Management
- Groundwater and Isotope Geochemistry
- Precipitation Measurement and Analysis
- Atmospheric and Environmental Gas Dynamics
- Geophysical and Geoelectrical Methods
- Climate change impacts on agriculture
- Peripheral Nerve Disorders
- Irrigation Practices and Water Management
- Hydrology and Drought Analysis
- Peatlands and Wetlands Ecology
- Soil Geostatistics and Mapping
Forschungszentrum Jülich
2016-2025
Sphere Institute
2014-2025
Ernst Ruska Centre
2021-2024
Collaborative Research Group
2024
University Medical Center Utrecht
2000-2022
Centre for High Performance Computing
2021
RWTH Aachen University
2018
ETH Zurich
2004-2013
Erasmus MC
2010
National University of Singapore
2010
Core Ideas A community effort is needed to move soil modeling forward. Establishing an international consortium key in this respect. There a need better integrate existing knowledge models. Integration of data and models challenge modeling. The remarkable complexity its importance wide range ecosystem services presents major challenges the processes. Although progress has occurred last decades, processes remain disjointed between disciplines or services, with considerable uncertainty...
Abstract. Data assimilation (DA) holds considerable potential for improving hydrologic predictions as demonstrated in numerous research studies. However, advances DA have not been adequately or timely implemented operational forecast systems to improve the skill of forecasts better informed real-world decision making. This is due part a lack mechanisms properly quantify uncertainty observations and models real-time forecasting situations conduct merging data way that efficient transparent...
Real‐time groundwater flow modeling with filter methods is interesting for dynamical systems, which measurement data in real‐time are available. The Ensemble Kalman Filter (EnKF) approach used here to update states together parameters by adopting an augmented state vector approach. performance of EnKF investigated a synthetic study two‐dimensional transient model where (1) only the recharge rate spatiotemporally variable, (2) transmissivity spatially variable σ ln T 2 = 1.0 or (3) 2.7, and...
Abstract River‐groundwater interactions are at the core of a wide range major contemporary challenges, including provision high‐quality drinking water in sufficient quantities, loss biodiversity river ecosystems, or management environmental flow regimes. This paper reviews state art approaches characterizing and modeling groundwater interactions. Our review covers approaches, remote sensing to characterize streambed, emerging methods measure exchange fluxes between rivers groundwater,...
Abstract Technological and methodological progress is essential to improve our understanding of fundamental processes in natural engineering sciences. In this paper, we will address the potential new technological advancements soil hydrology move forward water related across a broad range scales. We focus on made quantifying root uptake processes, subsurface lateral flow, deep drainage at field catchment scale, respectively. elaborate value establishing science‐driven network hydrological...
[1] Soil water content is one of the key state variables in soil-vegetation-atmosphere continuum due to its important role exchange and energy at soil surface. A new promising method measure integral field or small catchment scale cosmic-ray probe (CRP). Recent studies CRP measurements have mainly presented results from test sites located very dry areas agricultural fields with sandy soils. In this study, distributed continuous a wireless sensor network (SoilNet) were used investigate...
The effect of high dose intravenous immunoglobulin (IVIg) treatment was studied in six patients with multifocal motor neuropathy (MMN). All responded to (0.4 g/kg for five consecutive days) an open trial. IVIg confirmed each patient a single patient, double blind, placebo controlled Four received two treatments and treatments, one randomised order. Five out but not placebo. One the same manner as treatment. Thus can lead improvement muscle strength MMN.
To determine the diagnostic value of high-resolution sonography in ulnar neuropathy at elbow (UNE).Sonographic nerve diameter measurement was compared three levels around medial epicondyle with a criterion standard including clinical and electrophysiologic characteristics cohort 123 patients presenting signs UNE. UNE or probable diagnosed 84 different condition 39 patient controls. Reference values were obtained 56 healthy volunteers.One hundred thirty-six affected arms studied (UNE 82, 9,...
Using ultrasonography we found multiple sites with nerve enlargement along the course of brachial plexus, median, ulnar, and radial nerves in majority 21 patients multifocal motor neuropathy. Sonography electrophysiologic studies showed more abnormalities than expected on purely clinical grounds. Moreover, sonography revealed without or abnormalities.
Ensemble Kalman filters (EnKFs) are a successful tool for estimating state variables in atmospheric and oceanic sciences. Recent research has prepared the EnKF parameter estimation groundwater applications. EnKFs optimal sense of Bayesian updating only if all involved multivariate Gaussian. Subsurface flow transport variables, however, generally do not show Gaussian dependence on hydraulic log conductivity among each other, even is multi‐Gaussian. To improve this context, we apply nonlinear,...
Abstract Cosmic ray probes are an emerging technology to continuously monitor soil water content at a scale significant land surface processes. However, the application of this method is hampered by its susceptibility presence aboveground biomass. Here we present simple empirical framework account for moderation fast neutrons biomass in calibration. The extends N 0 ‐calibration function and was developed using extensive data set from network 10 cosmic located Rur catchment, Germany. results...
<b>Objective:</b> Identification and examination of all patients with multifocal motor neuropathy (MMN) in the Netherlands to document clinical spectrum response IV immunoglobulin (IVIg) determine correlates outcome. <b>Methods:</b> A national cross-sectional descriptive study was performed. Ninety-seven were identified; 88 participated. Logistic regression analysis used determinants <b>Results:</b> Age at onset younger men than women (38 vs 45 years, <i>p =</i> 0.05). Onset weakness distal...
The clinical and electrophysiological features were prospectively studied of 75 patients (46 men 29 women) with chronic polyneuropathy presenting in middle or old age whom a diagnosis could not be made even after extensive evaluation follow up six months. mean at the onset symptoms was 56.5 years. idiopathic are heterogeneous. On grounds 44 had sensorimotor, sensory, two motor polyneuropathy. overall course slowly progressive. None became severely disabled. Electrophysiological nerve biopsy...
Core Ideas We provide an overview of the TERENO-Rur hydrological observatory. present information on general physical characteristics Rur catchment. Ongoing interdisciplinary research aims to advance understanding complex processes. observatory, which is main observational platform TERENO (TERrestrial ENvironmental Observatories) Eifel/Lower Rhine Valley Observatory. The catchment area exhibits distinct gradients in altitude, climate, land use, soil properties, and geology. Eifel National...
Abstract. This study compares actual evapotranspiration (ETa) measurements by a set of six weighable lysimeters, ETa estimates obtained with the eddy covariance (EC) method, and calculated full-form Penman–Monteith equation (ETPM) for Rollesbroich site in Eifel (western Germany). The comparison measured EC (including correction energy balance deficit) lysimeters is rarely reported literature allows more insight into performance both methods. An evaluation two methods year 2012 shows good...
<h3>Objective:</h3> To determine the prevalence and specificity of antibodies against single gangliosides ganglioside complexes in serum from 88 patients with multifocal motor neuropathy (MMN) to study association clinical features. <h3>Methods:</h3> ELISA was used detect immunoglobulin (Ig)M, IgG, IgA GM1, GM2, GD1a, GD1b, GM1b, GT1a, GT1b, GQ1b, GalNAc-GD1a, glycolipid SGPG; absorption studies were performed cross-reactivity. Presence consisting any combinations GQ1b also tested....
Abstract The Community Land Model (CLM) includes a large variety of parameterizations, also for flow in the unsaturated zone and soil properties. Soil properties introduce uncertainties into land surface model predictions. In this paper, moisture are updated coupled CLM Microwave Emission (CMEM) by Local Ensemble Transform Kalman Filter (LETKF) state augmentation method. estimated through update textural organic matter density. These variables used predicting retention characteristic...
Abstract. Climate change related modifications in the spatio-temporal distribution of precipitation and evapotranspiration will have an impact on groundwater resources. This study presents a modelling approach exploiting advantages integrated hydrological broad climate model basis. We applied MIKE SHE perialpine, small catchment northern Switzerland near Zurich. To examine we forced with data from eight GCM-RCM combinations showing systematic biases which are corrected by three different...
Abstract Most activities of humankind take place in the transition zone between four compartments terrestrial system: unconfined aquifer, including unsaturated zone; surface water; vegetation; and atmosphere. The mass, momentum, heat energy fluxes these drive their mutual state evolution. Improved understanding processes that is important for climate projections, weather prediction, flood forecasting, water soil resources management, agriculture, quality control. different transport...