Monitoring and Modeling the Terrestrial System from Pores to Catchments: The Transregional Collaborative Research Center on Patterns in the Soil–Vegetation–Atmosphere System

Simmer, Clemens; Thiele-Eich, Insa; Masbou, M.; Amelung, Wulf; Bogena, Heye; Crewell, Susanne; Diekkrüger, Bernd; Ewert, Frank; Franssen, Harrie‐Jan Hendricks; Huisman, Johan Alexander; Kemna, Andreas; Kollet, Stefan; Langensiepen, Matthias; Löhnert, Ulrich; Rahman, Mostaquimur; Rascher, Uwe; Schneider, Karl; Schween, Jan H.; Shao, Yaping; Shrestha, Prabhakar; Stiebler, Maik; Sulis, Mauro; Vanderborght, Jan; Vereecken, Harry; Kruk, Jan van der; Waldhoff, Guido; Zerenner, Tanja

doi:10.1175/bams-d-13-00134.1

Cited by 88 publications

(72 citation statements)

References 82 publications

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“…Soil moisture partitions the incoming rainfall into runoff and infiltration, and controls water and energy fluxes, as well as exchange of trace gases at the Earths' surface [1][2][3][4]. Accurate information about soil moisture temporal and spatial variation is therefore important for further application [2], e.g., for flood and drought forecasts [5,6], as well as for climate impact studies [7].…”

Section: Introductionmentioning

confidence: 99%

Validation of Spaceborne and Modelled Surface Soil Moisture Products with Cosmic-Ray Neutron Probes

et al. 2017

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Section: Introductionmentioning

confidence: 99%

Validation of Spaceborne and Modelled Surface Soil Moisture Products with Cosmic-Ray Neutron Probes

et al. 2017

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“…This work further explores the value of measured neutron intensity by CRNSs to improve modelling of terrestrial systems on the catchment scale (Simmer et al, 2015) using a land surface model. The main novelties are as follows:…”

Section: Introductionmentioning

confidence: 99%

Evaluation of a cosmic-ray neutron sensor network for improved land surface model prediction

Baatz¹,

Franssen²,

Han³

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. In situ soil moisture sensors provide highly accurate but very local soil moisture measurements, while remotely sensed soil moisture is strongly affected by vegetation and surface roughness. In contrast, cosmic-ray neutron sensors (CRNSs) allow highly accurate soil moisture estimation on the field scale which could be valuable to improve land surface model predictions. In this study, the potential of a network of CRNSs installed in the 2354 km 2 Rur catchment (Germany) for estimating soil hydraulic parameters and improving soil moisture states was tested. Data measured by the CRNSs were assimilated with the local ensemble transform Kalman filter in the Community Land Model version 4.5. Data of four, eight and nine CRNSs were assimilated for the years 2011 and 2012 (with and without soil hydraulic parameter estimation), followed by a verification year 2013 without data assimilation. This was done using (i) a regional high-resolution soil map, (ii) the FAO soil map and (iii) an erroneous, biased soil map as input information for the simulations. For the regional soil map, soil moisture characterization was only improved in the assimilation period but not in the verification period. For the FAO soil map and the biased soil map, soil moisture predictions improved strongly to a root mean square error of 0.03 cm 3 cm −3 for the assimilation period and 0.05 cm 3 cm −3 for the evaluation period. Improvements were limited by the measurement error of CRNSs (0.03 cm 3 cm −3 ). The positive results obtained with data assimilation of nine CRNSs were confirmed by the jackknife experiments with four and eight CRNSs used for assimilation. The results demonstrate that assimilated data of a CRNS network can improve the characterization of soil moisture content on the catchment scale by updating spatially distributed soil hydraulic parameters of a land surface model.

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“…These results are consistent with, e.g., Kuo et al (1999), who related the increase in average soil moisture contents with grid coarsening to decreasing slope gradient and curvature variations. Sulis et al (2011) also explained catchment wetness in terms of storage and ground to water table depth via decreasing local slopes and plan curvature variations due to aggregation effects. Different S unsat t with grid resolutions reflects different spatial soil moisture variability, which in turn influences simulated land-atmosphere interactions.…”

Section: Resultsmentioning

confidence: 99%

“…The aim of this study is to examine the effects of resolution-dependent model heterogeneity using the Terrestrial System Modeling Platform (TerrSysMP, Shrestha et al, 2014;Gasper et al, 2014;Sulis et al, 2015) on the variability of modeled soil moisture, soil temperature and surface fluxes in a temperate climate when no subgrid-scale parameterizations are used. The rest of the manuscript is organized as follows: Sect.…”

Section: P Shrestha Et Al: Impacts Of Grid Resolution On Surface Enmentioning

confidence: 99%

“…Previous studies with offline hydrological models have shown that the aggregation of topography to coarser grid resolution (e.g., 1 km) has a strong impact on the water balance (e.g., Zhang and Montgomery, 1994;Kuo et al, 1999;Vivoni et al, 2005; Bormann, 2006;Herbst et al, 2006;Giertz et al, 2006;Dixon and Earls, 2009;Sciuto and Diekkrueger, 2010;Sulis et al, 2011). Many of these studies focused primarily on the spatial-scale-dependent behavior of catchment discharge, groundwater table depth and catchment mean soil moisture.…”

Section: Introductionmentioning

confidence: 99%

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Impacts of grid resolution on surface energy fluxes simulated with an integrated surface-groundwater flow model

Shrestha

Sulis

Simmer

et al. 2015

Hydrol. Earth Syst. Sci.

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Abstract. The hydrological component of the Terrestrial Systems Modeling Platform (TerrSysMP), which includes integrated surface-groundwater flow, was used to investigate the grid resolution dependence of simulated soil moisture, soil temperature, and surface energy fluxes over a subcatchment of the Rur, Germany. The investigation was motivated by the recent developments of new earth system models, which include 3-D physically based groundwater models for the coupling of land-atmosphere interaction and subsurface hydrodynamics. Our findings suggest that for grid resolutions between 100 and 1000 m, the non-local controls of soil moisture are highly grid resolution dependent. Local vegetation, however, strongly modulates the scaling behavior, especially for surface fluxes and soil temperature, which depends on the radiative transfer property of the canopy. This study also shows that for grid resolutions above a few 100 m, the variation of spatial and temporal patterns of sensible and latent heat fluxes may significantly affect the resulting atmospheric mesoscale circulation and boundary layer evolution in coupled runs.

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Monitoring and Modeling the Terrestrial System from Pores to Catchments: The Transregional Collaborative Research Center on Patterns in the Soil–Vegetation–Atmosphere System

Cited by 88 publications

References 82 publications

Validation of Spaceborne and Modelled Surface Soil Moisture Products with Cosmic-Ray Neutron Probes

Validation of Spaceborne and Modelled Surface Soil Moisture Products with Cosmic-Ray Neutron Probes

Evaluation of a cosmic-ray neutron sensor network for improved land surface model prediction

Impacts of grid resolution on surface energy fluxes simulated with an integrated surface-groundwater flow model

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