On the role of patterns in understanding the functioning of soil-vegetation-atmosphere systems

Vereecken, Harry; Pachepsky, Yakov; Simmer, Clemens; Rihani, Jehan; Kunoth, Angela; Korres, Wolfgang; Graf, Alexander; Franssen, Harrie‐Jan Hendricks; Thiele-Eich, Insa; Shao, Yaping

doi:10.1016/j.jhydrol.2016.08.053

Cited by 47 publications

(42 citation statements)

References 262 publications

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“…For this purpose, satellite remote sensing comes into play as an independent data source with the required spatial resolution and coverage for many catchment-scale applications. Satellite imagery has been used for estimation of numerous states and fluxes of interest to hydrological modeling, such as snow cover (Immerzeel et al, 2009), groundwater storage change (Chen et al, 2016;Rodell et al, 2009;Sutanudjaja et al, 2013;Richey et al, 2015), soil moisture (SM; Wanders et al, 2014), vegetation water content (Mendiguren et al, 2015), land surface temperature (LST; Corbari et al, 2015) or actual evapotranspiration (ET; Guzinski et al, 2015). The conversions of the remotely sensed signal to hydrological variables are far from trivial and usually require in situ measurements and observations for model evaluation.…”

Section: G Mendiguren Et Al: a Remote-sensing-based Diagnostic Apprmentioning

confidence: 99%

“…As stated by Conradt et al (2013), "In conjunction with distributed hydrological modeling spatial calibration usually means individual multi-site calibration". The neglect of a specific focus on spatial patterns in model evaluation is a paradox in light of an increasing acknowledgement of the role of patterns in the functioning of hydrological systems (Vereecken et al, 2016). Moreover, it is against the rationale behind developing and applying distributed models (Freeze and Harlan, 1969;Refsgaard, 1997).…”

Section: Introductionmentioning

confidence: 99%

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Spatial pattern evaluation of a calibrated national hydrological model – a remote-sensing-based diagnostic approach

Mendiguren

Koch

Stisen

2017

Hydrol. Earth Syst. Sci.

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Abstract. Distributed hydrological models are traditionally evaluated against discharge stations, emphasizing the temporal and neglecting the spatial component of a model. The present study widens the traditional paradigm by highlighting spatial patterns of evapotranspiration (ET), a key variable at the land-atmosphere interface, obtained from two different approaches at the national scale of Denmark. The first approach is based on a national water resources model (DKmodel), using the MIKE-SHE model code, and the second approach utilizes a two-source energy balance model (TSEB) driven mainly by satellite remote sensing data. Ideally, the hydrological model simulation and remote-sensing-based approach should present similar spatial patterns and driving mechanisms of ET. However, the spatial comparison showed that the differences are significant and indicate insufficient spatial pattern performance of the hydrological model.The differences in spatial patterns can partly be explained by the fact that the hydrological model is configured to run in six domains that are calibrated independently from each other, as it is often the case for large-scale multi-basin calibrations. Furthermore, the model incorporates predefined temporal dynamics of leaf area index (LAI), root depth (RD) and crop coefficient (Kc) for each land cover type. This zonal approach of model parameterization ignores the spatiotemporal complexity of the natural system. To overcome this limitation, this study features a modified version of the DKmodel in which LAI, RD and Kc are empirically derived using remote sensing data and detailed soil property maps in order to generate a higher degree of spatiotemporal variability and spatial consistency between the six domains. The effects of these changes are analyzed by using empirical orthogonal function (EOF) analysis to evaluate spatial patterns. The EOF analysis shows that including remote-sensing-derived LAI, RD and Kc in the distributed hydrological model adds spatial features found in the spatial pattern of remote-sensing-based ET.

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Section: G Mendiguren Et Al: a Remote-sensing-based Diagnostic Apprmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatial pattern evaluation of a calibrated national hydrological model – a remote-sensing-based diagnostic approach

Mendiguren

Koch

Stisen

2017

Hydrol. Earth Syst. Sci.

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“…Considering observability, predictability, and the impact of heterogeneity on processes at the relevant scales through modelling could reduce resources spent on specific data gathering and benefit the gain in observing complementary data sets. Another aspect brought by merging data and modelling through data assimilation is the potential facilitation of upscale cascading of knowledge from smaller-scale process understanding to larger-scale simplified representation, patterns and parameterization 20 (Heffernan et al, 2014;Vereecken et al, 2016a). In this way, models can feed back to data and even drive observation requirements for maximum benefits for the model.…”

Section: Satisfying Cross-disciplinary Data Demand For Esd Modelsmentioning

confidence: 99%

Integration of terrestrial observational networks: opportunity for advancing Earth system dynamics modelling

Baatz

Sullivan

et al. 2017

Preprint

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Abstract. Advancing our understanding of Earth System Dynamics (ESD) depends on the development of models and other analytical tools that integrate physical, biological and chemical data. This ambition of increased understanding and model development of ESD based on integrated site observations was at the origin of the creation of the networks of Long Term Ecological Research (LTER), Critical Zone Observatories (CZO), and others. We organized a survey to identify pressing gaps in data availability from these networks, in particular for the future development and evaluation of models that 5 represent ESD processes. With the survey results, we look for gaps between data collection and ESD model development, to draw perspectives for the improvement both in data collection and model integration.From this overview of model applications gathered in the context of LTER-and CZO research, we identified three challenges: 1) Improving integration of observational data in Earth system modelling, 2) developing coupled Earth system models, and 3) identifying complementarity and ways to integrate the existing networks. These challenges lead to 10 perspectives and recommendations for strategic integration of observational networks and links to the ESD modelling community. We propose the further integration of the observational networks, either by 1) making the existing sitedetermined networks also functional topological networks with organising spread and coverage, and/or 2) thematically and geographically restructuring or co-locating the existing networks, and further formalizing these recommendations among these communities. Such integration will enable cross-site comparison and synthesis studies, which will offer significant 15 insights and extraction of organizing principles, classifications, and general rules of coupling processes and environmental conditions. IntroductionIn light of accelerating global change (e.g. IPCC, 2014;Camill, 2010), the scientific and societal imperatives are paramount 20 to improve our understanding of Earth System Dynamics (ESD), which comprise complex interactions among rock, soil, water, air, and living organisms that regulate the natural habitat and determine the availability of life-sustaining resources for human well-being (MEA, 2005). Understanding and modelling of Earth system processes and interactions among Earth system compartments can be enhanced by accessing a wider range of both observational and experimental data (Banwart et al., 2012;Aronova et al., 2010;Reid et al., 2010). For this purpose, observational networks have been developed the last 25 decennia aiming at a temporal and multidisciplinary coverage of continental and global scale ecosystem observations. The Critical Zone Observatory network (Brantley et al. 2015), the International Long Term Ecosystem Research network (Mirtl et al., 2017), the National Ecological Observatory Network of the US , Schimel et al. 2001, the Chinese Ecosystem Research Network (Fu et al., 2010) and the Australian Terrestrial Ecosystem Research N...

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“…Soil moisture is the key variable linking climate, vegetation, and hydrological processes (Dirmeyer, 2011;Ge & Zou, 2013;Koster et al, 2004;Vereecken et al, 2016;Vivoni, Moreno, et al, 2008;Williams et al, 2016;Zeng et al, 2004). At the regional scale, climate forcing, particularly precipitation, is the dominant factor controlling the temporal pattern of soil moisture dynamics (Crow et al, 2012;Fatichi et al, 2015;Western et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

Impact of Plant Functional Types on Coherence Between Precipitation and Soil Moisture: A Wavelet Analysis

Liu

Hao

Stebler

et al. 2017

Geophysical Research Letters

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Mapping the spatiotemporal patterns of soil moisture within heterogeneous landscapes is important for resource management and for the understanding of hydrological processes. A critical challenge in this mapping is comparing remotely sensed or in situ observations from areas with different vegetation cover but subject to the same precipitation regime. We address this challenge by wavelet analysis of multiyear observations of soil moisture profiles from adjacent areas with contrasting plant functional types (grassland, woodland, and encroached) and precipitation. The analysis reveals the differing soil moisture patterns and dynamics between plant functional types. The coherence at high-frequency periodicities between precipitation and soil moisture generally decreases with depth but this is much more pronounced under woodland compared to grassland. Wavelet analysis provides new insights on soil moisture dynamics across plant functional types and is useful for assessing differences and similarities in landscapes with heterogeneous vegetation cover.

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On the role of patterns in understanding the functioning of soil-vegetation-atmosphere systems

Cited by 47 publications

References 262 publications

Spatial pattern evaluation of a calibrated national hydrological model – a remote-sensing-based diagnostic approach

Spatial pattern evaluation of a calibrated national hydrological model – a remote-sensing-based diagnostic approach

Integration of terrestrial observational networks: opportunity for advancing Earth system dynamics modelling

Impact of Plant Functional Types on Coherence Between Precipitation and Soil Moisture: A Wavelet Analysis

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