Effects of Frozen Soil on Soil Temperature, Spring Infiltration, and Runoff: Results from the PILPS 2(d) Experiment at Valdai, Russia

Lifeng Luo Department of Environmental Sciences, Rutgers University, New Brunswick, New Jersey

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Alan Robock Department of Environmental Sciences, Rutgers University, New Brunswick, New Jersey

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Konstantin Y. Vinnikov Department of Meteorology, University of Maryland, College Park, Maryland

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C. Adam Schlosser Goddard Earth Sciences and Technology Center, NASA GSFC, Greenbelt, Maryland

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Andrew G. Slater CIRES, University of Colorado, Boulder, Colorado

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Aaron Boone Météo-France/CNRM, Toulouse, France

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Pierre Etchevers Météo-France/CNRM, Toulouse, France

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Florence Habets Météo-France/CNRM, Toulouse, France

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Joel Noilhan Météo-France/CNRM, Toulouse, France

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Harald Braden Agrometeorologic Research, German Weather Service, Braunschweig, Germany

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Peter Cox Hadley Centre for Climate Prediction and Research, Bracknell, Berkshire, United Kingdom

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Patricia de Rosnay Laboratoire de Meteorologie Dynamique du CNRS, Paris, France

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Robert E. Dickinson School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia

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Yongjiu Dai Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China

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Qing-Cun Zeng Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China

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Qingyun Duan NOAA/Office of Hydrology, Silver Spring, Maryland

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John Schaake NOAA/Office of Hydrology, Silver Spring, Maryland

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Ann Henderson-Sellers Australian Nuclear Science and Technology Organisation, Sydney, Australia

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Nicola Gedney Meteorology Department, Reading University, Reading, United Kingdom

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Yevgeniy M. Gusev Institute of Water Problems, Moscow, Russia

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Olga N. Nasonova Institute of Water Problems, Moscow, Russia

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Jinwon Kim Department of Atmospheric Sciences, University of California, Los Angeles, Los Angeles, California

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Eva Kowalczyk Division of Atmospheric Research, CSIRO, Aspendale, Australia

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Kenneth Mitchell NOAA/NCEP, Environmental Modeling Center, Camp Springs, Maryland

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Andrew J. Pitman Department of Physical Geography, Macquarie University, Sydney, Australia

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Andrey B. Shmakin Institute of Geography, Moscow, Russia

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Tatiana G. Smirnova NOAA/Forecast Systems Laboratory, Boulder, Colorado

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Peter Wetzel Mesoscale Dynamics and Precipitation Branch, NASA GSFC, Greenbelt, Maryland

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Yongkang Xue Department of Geography, University of California, Los Angeles, Los Angeles, California

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Zong-Liang Yang Department of Geological Sciences, University of Texas, Austin, Texas

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Abstract

The Project for Intercomparison of Land-Surface Parameterization Schemes phase 2(d) experiment at Valdai, Russia, offers a unique opportunity to evaluate land surface schemes, especially snow and frozen soil parameterizations. Here, the ability of the 21 schemes that participated in the experiment to correctly simulate the thermal and hydrological properties of the soil on several different timescales was examined. Using observed vertical profiles of soil temperature and soil moisture, the impact of frozen soil schemes in the land surface models on the soil temperature and soil moisture simulations was evaluated.

It was found that when soil-water freezing is explicitly included in a model, it improves the simulation of soil temperature and its variability at seasonal and interannual scales. Although change of thermal conductivity of the soil also affects soil temperature simulation, this effect is rather weak. The impact of frozen soil on soil moisture is inconclusive in this experiment due to the particular climate at Valdai, where the top 1 m of soil is very close to saturation during winter and the range for soil moisture changes at the time of snowmelt is very limited. The results also imply that inclusion of explicit snow processes in the models would contribute to substantially improved simulations. More sophisticated snow models based on snow physics tend to produce better snow simulations, especially of snow ablation. Hysteresis of snow-cover fraction as a function of snow depth is observed at the catchment but not in any of the models.

Current affiliation: Hadley Centre for Climate Prediction and Research, Bracknell, Berkshire, United Kingdom

Corresponding author address: Alan Robock, Department of Environmental Sciences, Rutgers University, 14 College Farm Road, New Brunswick, NJ 08901-8551. Email: robock@envsci.rutgers.edu

Abstract

The Project for Intercomparison of Land-Surface Parameterization Schemes phase 2(d) experiment at Valdai, Russia, offers a unique opportunity to evaluate land surface schemes, especially snow and frozen soil parameterizations. Here, the ability of the 21 schemes that participated in the experiment to correctly simulate the thermal and hydrological properties of the soil on several different timescales was examined. Using observed vertical profiles of soil temperature and soil moisture, the impact of frozen soil schemes in the land surface models on the soil temperature and soil moisture simulations was evaluated.

It was found that when soil-water freezing is explicitly included in a model, it improves the simulation of soil temperature and its variability at seasonal and interannual scales. Although change of thermal conductivity of the soil also affects soil temperature simulation, this effect is rather weak. The impact of frozen soil on soil moisture is inconclusive in this experiment due to the particular climate at Valdai, where the top 1 m of soil is very close to saturation during winter and the range for soil moisture changes at the time of snowmelt is very limited. The results also imply that inclusion of explicit snow processes in the models would contribute to substantially improved simulations. More sophisticated snow models based on snow physics tend to produce better snow simulations, especially of snow ablation. Hysteresis of snow-cover fraction as a function of snow depth is observed at the catchment but not in any of the models.

Current affiliation: Hadley Centre for Climate Prediction and Research, Bracknell, Berkshire, United Kingdom

Corresponding author address: Alan Robock, Department of Environmental Sciences, Rutgers University, 14 College Farm Road, New Brunswick, NJ 08901-8551. Email: robock@envsci.rutgers.edu

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