Search Results - "Hendricks, H"

Accuracy of the cosmic-ray soil water content probe in humid forest ecosystems: The worst case scenario by Bogena, H. R., Huisman, J. A., Baatz, R., Hendricks Franssen, H.-J., Vereecken, H.

“…Soil water content is one of the key state variables in the soil‐vegetation‐atmosphere continuum due to its important role in the exchange of water and energy…”
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Actual evapotranspiration and precipitation measured by lysimeters: a comparison with eddy covariance and tipping bucket by Gebler, S, H-J Hendricks Franssen, Pütz, T, Post, H, Schmidt, M, Vereecken, H

“…This study compares actual evapotranspiration (ETa) measurements by a set of six weighable lysimeters, ETa estimates obtained with the eddy covariance (EC)…”
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Multi-mission satellite remote sensing data for improving land hydrological models via data assimilation by Khaki, M., Hendricks Franssen, H.-J., Han, S. C.

“…Satellite remote sensing offers valuable tools to study Earth and hydrological processes and improve land surface models. This is essential to improve the…”
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Parameter estimation by ensemble Kalman filters with transformed data: Approach and application to hydraulic tomography by Schöniger, A., Nowak, W., Hendricks Franssen, H.-J.

“…Ensemble Kalman filters (EnKFs) are a successful tool for estimating state variables in atmospheric and oceanic sciences. Recent research has prepared the EnKF…”
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An empirical vegetation correction for soil water content quantification using cosmic ray probes by Baatz, R., Bogena, H. R., Hendricks Franssen, H.-J., Huisman, J. A., Montzka, C., Vereecken, H.

“…Cosmic ray probes are an emerging technology to continuously monitor soil water content at a scale significant to land surface processes. However, the…”
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Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities by Liu, Y, Weerts, A. H, Clark, M, Hendricks Franssen, H.-J, Kumar, S, Moradkhani, H, Seo, D.-J, Schwanenberg, D, Smith, P, van Dijk, A. I. J. M, van Velzen, N, He, M, Lee, H, Noh, S. J, Rakovec, O, Restrepo, P

“…Data assimilation (DA) holds considerable potential for improving hydrologic predictions as demonstrated in numerous research studies. However, advances in…”
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Soil hydrology: Recent methodological advances, challenges, and perspectives by Vereecken, H., Huisman, J. A., Hendricks Franssen, H. J., Brüggemann, N., Bogena, H. R., Kollet, S., Javaux, M., van der Kruk, J., Vanderborght, J.

“…Technological and methodological progress is essential to improve our understanding of fundamental processes in natural and engineering sciences. In this…”
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Real-time groundwater flow modeling with the Ensemble Kalman Filter: Joint estimation of states and parameters and the filter inbreeding problem by Hendricks Franssen, H. J., Kinzelbach, W.

“…Real‐time groundwater flow modeling with filter methods is interesting for dynamical groundwater flow systems, for which measurement data in real‐time are…”
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Land Surface Modeling as a Tool to Explore Sustainable Irrigation Practices in Mediterranean Fruit Orchards by Dombrowski, O., Brogi, C., Hendricks Franssen, H.‐J., Pisinaras, V., Panagopoulos, A., Swenson, S., Bogena, H.

“…Irrigation strongly influences land‐atmosphere processes from regional to global scale. Therefore, an accurate representation of irrigation is crucial to…”
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SMOS soil moisture assimilation for improved hydrologic simulation in the Murray Darling Basin, Australia by Lievens, H., Tomer, S.K., Al Bitar, A., De Lannoy, G.J.M., Drusch, M., Dumedah, G., Hendricks Franssen, H.-J., Kerr, Y.H., Martens, B., Pan, M., Roundy, J.K., Vereecken, H., Walker, J.P., Wood, E.F., Verhoest, N.E.C., Pauwels, V.R.N.

“…This study explores the benefits of assimilating SMOS soil moisture retrievals for hydrologic modeling, with a focus on soil moisture and streamflow…”
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Calibration of a catchment scale cosmic-ray probe network: A comparison of three parameterization methods by Baatz, R., Bogena, H.R., Hendricks Franssen, H.-J., Huisman, J.A., Qu, W., Montzka, C., Vereecken, H.

“…•We applied three parameterization methods for cosmic-ray soil moisture probes.•The methods were evaluated with independent measurements.•All three methods…”
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The influence of riverbed heterogeneity patterns on river-aquifer exchange fluxes under different connection regimes by Tang, Q., Kurtz, W., Schilling, O.S., Brunner, P., Vereecken, H., Hendricks Franssen, H.-J.

“…•The role of riverbed heterogeneity patterns on exchange fluxes is investigated.•Analysis is made with an integrated hydrological model and data…”
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Assimilation of 3D radar reflectivities with an ensemble Kalman filter on the convective scale by Bick, T., Simmer, C., Trömel, S., Wapler, K., Hendricks Franssen, H.‐J., Stephan, K., Blahak, U., Schraff, C., Reich, H., Zeng, Y., Potthast, R.

“…An ensemble data assimilation system for 3D radar reflectivity data is introduced for the convection‐permitting numerical weather prediction model of the…”
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Herbivore population regulation and resource heterogeneity in a stochastic environment by Hempson, G. P., Illius, A. W., Hendricks, H. H., Bond, W. J., Vetter, S.

“…Large-mammal herbivore populations are subject to the interaction of internal density-dependent processes and external environmental stochasticity. We…”
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Characterisation of river–aquifer exchange fluxes: The role of spatial patterns of riverbed hydraulic conductivities by Tang, Q., Kurtz, W., Brunner, P., Vereecken, H., Hendricks Franssen, H.-J.

“…•Paper investigates impact of riverbed conductivity patterns on exchange fluxes.•Paper compares EnKF and NS-EnKF for inverse conditioning of leakage…”
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Assimilation of High‐Resolution Soil Moisture Data Into an Integrated Terrestrial Model for a Small‐Scale Head‐Water Catchment by Gebler, S., Kurtz, W., Pauwels, V. R. N., Kollet, S.J., Vereecken, H., Hendricks Franssen, H.‐J.

“…Land surface‐subsurface modeling combined with data assimilation was applied on the Rollesbroich hillslope (Germany). Dense information from a soil moisture…”
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Iterative filter based estimation of fully 3D heterogeneous fields of permeability and Mualem-van Genuchten parameters by Chaudhuri, A., Franssen, H.-J. Hendricks, Sekhar, M.

“…•Estimation of heterogeneous hydraulic conductivity and van Genuchten α and n fields•Iterative EnKF successfully estimated jointly the soil parameter…”
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Optimization of a Radiative Transfer Forward Operator for Simulating SMOS Brightness Temperatures over the Upper Mississippi Basin by Lievens, H., Al Bitar, A., Verhoest, N. E. C., Cabot, F., De Lannoy, G. J. M., Drusch, M., Dumedah, G., Franssen, H.-J. Hendricks, Kerr, Y., Tomer, S. K., Martens, B., Merlin, O., Pan, M., van den Berg, M. J., Vereecken, H., Walker, J. P., Wood, E. F., Pauwels, V. R. N.

“…The Soil Moisture Ocean Salinity (SMOS) satellite mission routinely provides global multiangular observations of brightness temperature TB at both horizontal…”
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A comparison of seven methods for the inverse modelling of groundwater flow. Application to the characterisation of well catchments by Hendricks Franssen, H.J., Alcolea, A., Riva, M., Bakr, M., van der Wiel, N., Stauffer, F., Guadagnini, A.

“…Inverse modelling is a key step in groundwater-related hydrological studies. Several inversion techniques were developed during the last decades, but hardly…”
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Assimilation of SMOS soil moisture and brightness temperature products into a land surface model by Lievens, H., De Lannoy, G.J.M., Al Bitar, A., Drusch, M., Dumedah, G., Hendricks Franssen, H.-J., Kerr, Y.H., Tomer, S.K., Martens, B., Merlin, O., Pan, M., Roundy, J.K., Vereecken, H., Walker, J.P., Wood, E.F., Verhoest, N.E.C., Pauwels, V.R.N.

“…The Soil Moisture and Ocean Salinity (SMOS) mission has the potential to improve the predictive skill of land surface models through the assimilation of its…”
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