Local evaluation of the Interaction between Soil Biosphere Atmosphere soil multilayer diffusion scheme using four pedotransfer functions

Decharme, Bertrand; Boone, Aaron; Delire, Christine; Noilhan, J.

doi:10.1029/2011jd016002

Cited by 184 publications

(269 citation statements)

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“…We use the diffusive soil (DF) option meaning that the soil heat and mass transfers are solved on a multi-layer grid (Decharme et al, 2011). A recently developed multi-layer canopy radiative transfer scheme has been incorporated into MEB in order to determine the fraction of incoming radiation intercepted by the canopy layer, transmitted to the ground and reflected.…”

Section: Model Setupmentioning

confidence: 99%

“…In this study, the multi-layer soil diffusion (DF; Decharme et al, 2011) option is used, along with the explicit multi-layer snow scheme. The prognostic soil temperature is represented by T g , for N g soil layers.…”

Section: The Standard Isba Composite Soil-vegetation Modelmentioning

confidence: 99%

“…It is used for a suit of surface schemes in either offline or coupled mode with an atmospheric model and/or a hydrological model. ISBA has benefited from continuous improvements since its first version (Noilhan and Planton, 1989), in particular for the carbon cycle (Calvet et al, 1998;Gibelin et al, 2006), soil mass and heat transfer (Boone et al, 1999;Decharme et al, 2011), snowpack processes (Boone and Etchevers, 2001;Decharme et al, 2016), sub-grid hydrology (Decharme and Douville, 2006) and radiative transfer through the canopy .…”

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confidence: 99%

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The interactions between soil–biosphere–atmosphere (ISBA) land surface model multi-energy balance (MEB) option in SURFEXv8 – Part 2: Introduction of a litter formulation and model evaluation for local-scale forest sites

et al. 2017

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Abstract. Land surface models (LSMs) need to balance a complicated trade-off between computational cost and complexity in order to adequately represent the exchanges of energy, water and matter with the atmosphere and the ocean. Some current generation LSMs use a simplified or composite canopy approach that generates recurrent errors in simulated soil temperature and turbulent fluxes. In response to these issues, a new version of the interactions between soilbiosphere-atmosphere (ISBA) land surface model has recently been developed that explicitly solves the transfer of energy and water from the upper canopy and the forest floor, which is characterized as a litter layer. The multi-energy balance (MEB) version of ISBA is first evaluated for three well-instrumented contrasting local-scale sites, and sensitivity tests are performed to explore the behavior of new model parameters. Second, ISBA-MEB is benchmarked against observations from 42 forested sites from the global micrometeorological network (FLUXNET) for multiple annual cycles.It is shown that ISBA-MEB outperforms the composite version of ISBA in improving the representation of soil temperature, ground, sensible and, to a lesser extent, latent heat fluxes. Both versions of ISBA give comparable results in terms of simulated latent heat flux because of the similar formulations of the water uptake and the stomatal resistance. However, MEB produces a better agreement with the observations of sensible heat flux than the previous version of ISBA for 87.5 % of the simulated years across the 42 forested FLUXNET sites. Most of this improvement arises owing to the improved simulation of the ground conduction flux, which is greatly improved using MEB, especially owing to the forest litter parameterization. It is also shown that certain processes are also modeled more realistically (such as the partitioning of evapotranspiration into transpiration and ground evaporation), even if certain statistical performances are neutral. The analyses demonstrate that the shading effect of the vegetation, the explicit treatment of turbulent transfer for the canopy and ground, and the insulating thermal and hydrological effects of the forest floor litter turn out to be essential for simulating the exchange of energy, water and matter across a large range of forest types and climates.

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Section: Model Setupmentioning

confidence: 99%

Section: The Standard Isba Composite Soil-vegetation Modelmentioning

confidence: 99%

mentioning

confidence: 99%

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The interactions between soil–biosphere–atmosphere (ISBA) land surface model multi-energy balance (MEB) option in SURFEXv8 – Part 2: Introduction of a litter formulation and model evaluation for local-scale forest sites

et al. 2017

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“…This latest version, called ISBA CC , is used in this study. To better simulate soil moisture content in the deep Amazonian soils, we use the multilayer soil diffusion scheme implemented in ISBA and described by Decharme et al (2011Decharme et al ( , 2013. In addition, the canopy radiative transfer scheme developed by Carrer et al (2013) is used.…”

Section: Model Descriptionmentioning

confidence: 99%

Predicting the response of the Amazon rainforest to persistent drought conditions under current and future climates: a major challenge for global land surface models

Joetzjer¹,

Delire²,

Koshiro³

et al. 2014

Geosci. Model Dev.

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Abstract. While a majority of global climate models project drier and longer dry seasons over the Amazon under higher CO 2 levels, large uncertainties surround the response of vegetation to persistent droughts in both present-day and future climates. We propose a detailed evaluation of the ability of the ISBA CC (Interaction Soil-Biosphere-Atmosphere Carbon Cycle) land surface model to capture drought effects on both water and carbon budgets, comparing fluxes and stocks at two recent throughfall exclusion (TFE) experiments performed in the Amazon. We also explore the model sensitivity to different water stress functions (WSFs) and to an idealized increase in CO 2 concentration and/or temperature. In spite of a reasonable soil moisture simulation, ISBA CC struggles to correctly simulate the vegetation response to TFE whose amplitude and timing is highly sensitive to the WSF. Under higher CO 2 concentrations, the increased wateruse efficiency (WUE) mitigates the sensitivity of ISBA CC to drought. While one of the proposed WSF formulations improves the response of most ISBA CC fluxes, except respiration, a parameterization of drought-induced tree mortality is missing for an accurate estimate of the vegetation response. Also, a better mechanistic understanding of the forest responses to drought under a warmer climate and higher CO 2 concentration is clearly needed.

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“…The ISBA surface scheme (Noilhan and Planton, 1989;Noilhan and Mahfouf, 1996) simulates interactions between the soil, vegetation and the atmosphere with a sub-hourly time step (SVAT model). The multilayer version of ISBA (ISBA-DIF) uses a diffusive approach (Boone et al, 2000;Decharme et al, 2011): surface and soil water fluxes are propagated from the surface through the soil column. Transport equations for mass and energy are solved using a multilayer vertical discretization of the soil.…”

Section: Hydrological Modelling On the Local Scale 421 The Isba Surmentioning

confidence: 99%

Providing a non-deterministic representation of spatial variability of precipitation in the Everest region

Eeckman¹,

Chevallier²,

Boone³

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. This paper provides a new representation of the effect of altitude on precipitation that represents spatial and temporal variability in precipitation in the Everest region. Exclusive observation data are used to infer a piecewise linear function for the relation between altitude and precipitation and significant seasonal variations are highlighted. An original ensemble approach is applied to provide non-deterministic water budgets for middle and high-mountain catchments. Physical processes at the soilatmosphere interface are represented through the Interactions Soil-Biosphere-Atmosphere (ISBA) surface scheme. Uncertainties associated with the model parametrization are limited by the integration of in situ measurements of soils and vegetation properties. Uncertainties associated with the representation of the orographic effect are shown to account for up to 16 % of annual total precipitation. Annual evapotranspiration is shown to represent 26 % ± 1 % of annual total precipitation for the mid-altitude catchment and 34% ± 3 % for the high-altitude catchment. Snowfall contribution is shown to be neglectable for the mid-altitude catchment, and it represents up to 44 % ± 8 % of total precipitation for the highaltitude catchment. These simulations on the local scale enhance current knowledge of the spatial variability in hydroclimatic processes in high-and mid-altitude mountain environments.

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Local evaluation of the Interaction between Soil Biosphere Atmosphere soil multilayer diffusion scheme using four pedotransfer functions

Cited by 184 publications

References 100 publications

The interactions between soil–biosphere–atmosphere (ISBA) land surface model multi-energy balance (MEB) option in SURFEXv8 – Part 2: Introduction of a litter formulation and model evaluation for local-scale forest sites

The interactions between soil–biosphere–atmosphere (ISBA) land surface model multi-energy balance (MEB) option in SURFEXv8 – Part 2: Introduction of a litter formulation and model evaluation for local-scale forest sites

Predicting the response of the Amazon rainforest to persistent drought conditions under current and future climates: a major challenge for global land surface models

Providing a non-deterministic representation of spatial variability of precipitation in the Everest region

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