Assimilation of Groundwater Level and Soil Moisture Data in an Integrated Land Surface‐Subsurface Model for Southwestern Germany-Reference-Cited by-同舟云学术

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Assimilation of Groundwater Level and Soil Moisture Data in an Integrated Land Surface‐Subsurface Model for Southwestern Germany

Published:2022-06 Issue:6 Volume:58 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resources Research

Author:

Hung Ching Pui¹²^ORCID,Schalge Bernd²³^ORCID,Baroni Gabriele⁴^ORCID,Vereecken Harry¹²^ORCID,Hendricks Franssen Harrie‐Jan¹²^ORCID

Affiliation:

1. Forschungszentrum Jülich GmbH Agrosphere (IBG‐3) Jülich Germany

2. Centre for High‐Performance Scientific Computing in Terrestrial Systems Jülich Germany

3. Institute for Geosciences University of Bonn Bonn Germany

4. Department of Agricultural and Food Sciences University of Bologna Bologna Italy

Funder

Deutsche Forschungsgemeinschaft

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021WR031549

Reference88 articles.

1. An Ensemble Adjustment Kalman Filter for Data Assimilation

2. Incorporating water table dynamics in climate modeling: 3. Simulated groundwater influence on coupled land-atmosphere variability

3. A Parallel Multigrid Preconditioned Conjugate Gradient Algorithm for Groundwater Flow Simulations

4. Calibration of a catchment scale cosmic-ray probe network: A comparison of three parameterization methods

5. Effects of uncertainty in soil properties on simulated hydrological states and fluxes at different spatio-temporal scales

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4. Evapotranspiration prediction for European forest sites does not improve with assimilation of in situ soil water content data;Hydrology and Earth System Sciences;2024-02-28

5. Can a Sparse Network of Cosmic Ray Neutron Sensors Improve Soil Moisture and Evapotranspiration Estimation at the Larger Catchment Scale?;Water Resources Research;2024-01

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