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Infiltration from the pedon to global grid scales: An overview and outlook for land surface modeling
Year:
2019
Source of publication :
Vadose Zone Journal
Authors :
Assouline, Shmuel
;
.
Volume :
1
Co-Authors:

Vereecken, H., Agrosphere Institute IBG-3, Forschungszentrum Jülich GmbH, Jülich, 52425, Germany, International Soil Modeling Consortium (ISMC), Forschungszentrum Jülich GmbH, Jülich, 52425, Germany; Weihermüller, L., Agrosphere Institute IBG-3, Forschungszentrum Jülich GmbH, Jülich, 52425, Germany;  Šimůnek, J., Dep. of Environmental Sciences, Univ. of California, Riverside, CA  92521, United States; Verhoef, A., Dep. of Geography and Environmental Science, Univ. of Reading, Reading, RG6 6AB, United Kingdom; Herbst, M., Agrosphere Institute IBG-3, Forschungszentrum Jülich GmbH, Jülich, 52425, Germany; Archer, N., British Geological Survey, The Lyell Centre, Edinburgh, EH14 4AP, United Kingdom; Mohanty, B., Dep. of Biological and Agricultural Engineering, Texas A&M Univ, College Station, TX  77843, United States; Montzka, C., Agrosphere Institute IBG-3, Forschungszentrum Jülich GmbH, Jülich, 52425, Germany; Vanderborght, J., Agrosphere Institute IBG-3, Forschungszentrum Jülich GmbH, Jülich, 52425, Germany; Balsamo, G., European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX, United Kingdom; Bechtold, M., Dep. of Earth and Environmental Sciences and Dep. of Computer Science, KU Leuven, Heverlee, 3001, Belgium; Boone, A., CNRM, UMR3589 (Météo-France, CNRS), Toulouse, France; Chadburn, S., School of Earth and Environment, Univ. of Leeds, Leeds, LS2 9JT, United Kingdom, Univ. of Exeter, Exeter, EX4 4QE, United Kingdom; Cuntz, M., Univ. de Lorraine, INRA, AgroParisTech, UMR Silva, Nancy, 54000, France; Decharme, B., CNRM, UMR3589 (Météo-France, CNRS), Toulouse, France; Ducharne, A., Sorbonne Univ, CNRS, EPHE, UMR 7619 METIS, Paris, France; Ek, M., Environmental Modeling Center, National Centers for Environmental Prediction, College Park, MD  20740, United States; Garrigues, S., French National Institute for Agricultural Research (INRA) CESBIO, Toulouse, France, Centre for Ecology and Hydrology, CEH, Wallingford, United Kingdom; Goergen, K., Agrosphere Institute IBG-3, Forschungszentrum Jülich GmbH, Jülich, 52425, Germany, Centre for High-Performance Scientific Computing in Terrestrial Systems, Geoverbund ABC/J, Jülich, 52425, Germany; Ingwersen, J., Institute of Soil Science and Land Evaluation, Biogeophysics, Univ. Hohenheim, Stuttgart, 70599, Germany; Kollet, S., Agrosphere Institute IBG-3, Forschungszentrum Jülich GmbH, Jülich, 52425, Germany; Lawrence, D.M., National Center for Atmospheric Research, Boulder, CO  80305, United States; Li, Q., Center for Monsoon Research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China; Or, D., ETH Zurich, Institut für Biogeo-chemie und Schadstoffdynamik, Zürich, 8092, Switzerland; Swenson, S., Climate and Global Dynamics Lab, Terrestrial Sciences, NCAR, Boulder, CO  80307, United States; de Vrese, P., Max-Planck Institut for Meteorology, Land in the Earth System, Hamburg, 20146, Germany; Walko, R., Rosenstiel School of Marine and Atmospheric Science, Univ. of Miami, Miami, FL  33149, United States; Wu, Y., Environmental Modeling Center, National Centers for Environmental Prediction and I.M. System Group at NCEP, College Park, MD  20740, United States; Xue, Y., Dep. of Atmospheric and Oceanic Sciences and Dep. of Geography, Univ. of California, Los Angeles, CA  90095, United States

Facilitators :
From page:
1
To page:
53
(
Total pages:
53
)
Abstract:

Infiltration in soils is a key process that partitions precipitation at the land surface into surface runoff and water that enters the soil profile. We reviewed the basic principles of water infiltration in soils and we analyzed approaches commonly used in land surface models (LSMs) to quantify infiltration as well as its numerical implementation and sensitivity to model parameters. We reviewed methods to upscale infiltration from the point to the field, hillslope, and grid cell scales of LSMs. Despite the progress that has been made, upscaling of local-scale infiltration processes to the grid scale used in LSMs is still far from being treated rigorously. We still lack a consistent theoretical framework to predict effective fluxes and parameters that control infiltration in LSMs. Our analysis shows that there is a large variety of approaches used to estimate soil hydraulic properties. Novel, highly resolved soil information at higher resolutions than the grid scale of LSMs may help in better quantifying subgrid variability of key infiltration parameters. Currently, only a few LSMs consider the impact of soil structure on soil hydraulic properties. Finally, we identified several processes not yet considered in LSMs that are known to strongly influence infiltration. Especially, the impact of soil structure on infiltration requires further research. To tackle these challenges and integrate current knowledge on soil processes affecting infiltration processes into LSMs, we advocate a stronger exchange and scientific interaction between the soil and the land surface modeling communities. © 2019 The Author(s).

Note:
Related Files :
Infiltration
Knowledge management
Soil hydraulic properties
Soils
Surface measurement
Show More
Related Content
More details
DOI :
10.2136/vzj2018.10.0191
Article number:
0
Affiliations:
Database:
Scopus
Publication Type:
Review
;
.
Language:
English
Editors' remarks:
ID:
42701
Last updated date:
02/03/2022 17:27
Creation date:
22/07/2019 10:48
Scientific Publication
Infiltration from the pedon to global grid scales: An overview and outlook for land surface modeling
1

Vereecken, H., Agrosphere Institute IBG-3, Forschungszentrum Jülich GmbH, Jülich, 52425, Germany, International Soil Modeling Consortium (ISMC), Forschungszentrum Jülich GmbH, Jülich, 52425, Germany; Weihermüller, L., Agrosphere Institute IBG-3, Forschungszentrum Jülich GmbH, Jülich, 52425, Germany;  Šimůnek, J., Dep. of Environmental Sciences, Univ. of California, Riverside, CA  92521, United States; Verhoef, A., Dep. of Geography and Environmental Science, Univ. of Reading, Reading, RG6 6AB, United Kingdom; Herbst, M., Agrosphere Institute IBG-3, Forschungszentrum Jülich GmbH, Jülich, 52425, Germany; Archer, N., British Geological Survey, The Lyell Centre, Edinburgh, EH14 4AP, United Kingdom; Mohanty, B., Dep. of Biological and Agricultural Engineering, Texas A&M Univ, College Station, TX  77843, United States; Montzka, C., Agrosphere Institute IBG-3, Forschungszentrum Jülich GmbH, Jülich, 52425, Germany; Vanderborght, J., Agrosphere Institute IBG-3, Forschungszentrum Jülich GmbH, Jülich, 52425, Germany; Balsamo, G., European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX, United Kingdom; Bechtold, M., Dep. of Earth and Environmental Sciences and Dep. of Computer Science, KU Leuven, Heverlee, 3001, Belgium; Boone, A., CNRM, UMR3589 (Météo-France, CNRS), Toulouse, France; Chadburn, S., School of Earth and Environment, Univ. of Leeds, Leeds, LS2 9JT, United Kingdom, Univ. of Exeter, Exeter, EX4 4QE, United Kingdom; Cuntz, M., Univ. de Lorraine, INRA, AgroParisTech, UMR Silva, Nancy, 54000, France; Decharme, B., CNRM, UMR3589 (Météo-France, CNRS), Toulouse, France; Ducharne, A., Sorbonne Univ, CNRS, EPHE, UMR 7619 METIS, Paris, France; Ek, M., Environmental Modeling Center, National Centers for Environmental Prediction, College Park, MD  20740, United States; Garrigues, S., French National Institute for Agricultural Research (INRA) CESBIO, Toulouse, France, Centre for Ecology and Hydrology, CEH, Wallingford, United Kingdom; Goergen, K., Agrosphere Institute IBG-3, Forschungszentrum Jülich GmbH, Jülich, 52425, Germany, Centre for High-Performance Scientific Computing in Terrestrial Systems, Geoverbund ABC/J, Jülich, 52425, Germany; Ingwersen, J., Institute of Soil Science and Land Evaluation, Biogeophysics, Univ. Hohenheim, Stuttgart, 70599, Germany; Kollet, S., Agrosphere Institute IBG-3, Forschungszentrum Jülich GmbH, Jülich, 52425, Germany; Lawrence, D.M., National Center for Atmospheric Research, Boulder, CO  80305, United States; Li, Q., Center for Monsoon Research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China; Or, D., ETH Zurich, Institut für Biogeo-chemie und Schadstoffdynamik, Zürich, 8092, Switzerland; Swenson, S., Climate and Global Dynamics Lab, Terrestrial Sciences, NCAR, Boulder, CO  80307, United States; de Vrese, P., Max-Planck Institut for Meteorology, Land in the Earth System, Hamburg, 20146, Germany; Walko, R., Rosenstiel School of Marine and Atmospheric Science, Univ. of Miami, Miami, FL  33149, United States; Wu, Y., Environmental Modeling Center, National Centers for Environmental Prediction and I.M. System Group at NCEP, College Park, MD  20740, United States; Xue, Y., Dep. of Atmospheric and Oceanic Sciences and Dep. of Geography, Univ. of California, Los Angeles, CA  90095, United States

Infiltration from the pedon to global grid scales: An overview and outlook for land surface modeling

Infiltration in soils is a key process that partitions precipitation at the land surface into surface runoff and water that enters the soil profile. We reviewed the basic principles of water infiltration in soils and we analyzed approaches commonly used in land surface models (LSMs) to quantify infiltration as well as its numerical implementation and sensitivity to model parameters. We reviewed methods to upscale infiltration from the point to the field, hillslope, and grid cell scales of LSMs. Despite the progress that has been made, upscaling of local-scale infiltration processes to the grid scale used in LSMs is still far from being treated rigorously. We still lack a consistent theoretical framework to predict effective fluxes and parameters that control infiltration in LSMs. Our analysis shows that there is a large variety of approaches used to estimate soil hydraulic properties. Novel, highly resolved soil information at higher resolutions than the grid scale of LSMs may help in better quantifying subgrid variability of key infiltration parameters. Currently, only a few LSMs consider the impact of soil structure on soil hydraulic properties. Finally, we identified several processes not yet considered in LSMs that are known to strongly influence infiltration. Especially, the impact of soil structure on infiltration requires further research. To tackle these challenges and integrate current knowledge on soil processes affecting infiltration processes into LSMs, we advocate a stronger exchange and scientific interaction between the soil and the land surface modeling communities. © 2019 The Author(s).

Scientific Publication
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