MUREX: a land-surface field experiment to study the annual cycle of the energy and water budgets

Calvet, Jean‐Christophe; Bessemoulin, Pierre; Noilhan, J.; Berne, Christine; Braud, Isabelle; Courault, Dominique; Fritz, N.; González-Sosa, Enrique; Goutorbe, J.P.; Haverkamp, R.; Jaubert, Geneviève; Kergoat, Laurent; Lachaud, Guy; Laurent, Jean‐Paul; Mordelet, Patrick; Olioso, Albert; Péris, P.; Roujean, Jean‐Louis; Thony, J.L.; Tosca, Claude; Vauclin, Michel; Vignes, D.

doi:10.1007/s00585-999-0838-2

Cited by 42 publications

(29 citation statements)

References 31 publications

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“…Even if the surface heat storage can be at a maximum during spring over midlatitudes, it does not seem physical that the spring heat storage is largely superior to the summer rate. During the MUREX experiment (43°24′N, 1°10′E), a fallow site similar to SMOSREX, Calvet et al [1999] showed that the spring heat storage is not so different than the summer rate.…”

Section: Surface Energy Fluxesmentioning

confidence: 99%

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

et al. 2011

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The Surface Monitoring Of the Soil Reservoir Experiment (SMOSREX) site is used in this study to evaluate the performance of the Interaction between Soil Biosphere Atmosphere soil multilayer diffusion scheme (ISBA‐DF) in reproducing short‐term and long‐term evolution of soil moisture and temperature profiles, surface energy fluxes, and drainage rate using both the Brooks and Corey and the van Genuchten models describing soil‐water retention and conductivity curves. The site consists of a fallow field in southwestern France where intensive measurements were made during the 2001–2007 period. Two sets of four simulations describing homogeneous and heterogeneous soil properties are performed using four continuous pedotransfer functions. ISBA‐DF is also compared with the ISBA “force‐restore” soil scheme (ISBA‐FR) since this version is currently used in several meteorological, hydrological, and/or climate applications. ISBA‐DF exhibits a good performance in terms of simulating the soil moisture profile and the surface energy fluxes, especially when heterogeneous soil properties are considered. Its soil moisture dynamic does not depend on the field capacity, which is a clear advantage compared with ISBA‐FR. However, it shows some drawbacks in simulating the surface temperature. The Brooks and Corey model exhibits the best skill scores in simulating the soil moisture profile and the surface fluxes compared with the van Genuchten model. Nevertheless, the differences are not significant, and the results on a single site reduce the generality of this intercomparison. Finally, two additional sets of experiments are performed to assess the scheme sensitivity to increasing soil depth and to the soil vertical discretization.

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Section: Surface Energy Fluxesmentioning

confidence: 99%

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

et al. 2011

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“…The root biomass was not measured at SMOSREX. Over the grassland of the MUREX site, located in the same region as SMOSREX, most roots were found in the 0.25 m surface soil layer and few roots were observed in deeper layers, down to 0.70 m (Calvet et al, 1999). It must be noted that, in this study, a simple force-restore version of the model hydrology is used.…”

Section: Soil Moisturementioning

confidence: 99%

Monitoring of water and carbon fluxes using a land data assimilation system: a case study for southwestern France

Albergel

Calvet

Mahfouf

et al. 2010

Hydrol. Earth Syst. Sci.

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Abstract.A Land Data Assimilation System (LDAS) able to ingest surface soil moisture (SSM) and Leaf Area Index (LAI) observations is tested at local scale to increase prediction accuracy for water and carbon fluxes. The ISBA-A-gs Land Surface Model (LSM) is used together with LAI and the soil water content observations of a grassland at the SMOSREX experimental site in southwestern France for a seven-year period (2001)(2002)(2003)(2004)(2005)(2006)(2007). Three configurations corresponding to contrasted model errors are considered: (1) best case (BC) simulation with locally observed atmospheric variables and model parameters, and locally observed SSM and LAI used in the assimilation, (2) same as (1) but with the precipitation forcing set to zero, (3) real case (RC) simulation with atmospheric variables and model parameters derived from regional atmospheric analyses and from climatological soil and vegetation properties, respectively. In configuration (3) two SSM time series are considered: the observed SSM using Thetaprobes, and SSM derived from the LEWIS L-band radiometer located 15m above the ground. Performance of the LDAS is examined in the three configurations described above with either one variable (either SSM or LAI) or two variables (both SSM and LAI) assimilated. The joint assimilation of SSM and LAI has a positive impact on the carbon, water, and heat fluxes. It represents a greater impact than assimilating one variable (either LAI or SSM). Moreover, the LDAS is able to counterbalance large errors in the precipitation forcing given as input to the model.

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“…The satellite data we will use are essentially sensitive to the surface top (the penetration depth is usually of the order of the observed wavelength). We checked on ancillary data sets providing a detailed description of the vertical soil moisture profiles [ Calvet et al , 1999; Wigneron et al , 1995] that the surface top moisture (∼0.5 cm) is rather well correlated with the 10 cm layer moisture, even at small timescales (correlation of at least 0.6 for the 4 analyzed locations with daily measurements). When averaged over the month, even larger correlations are expected.…”

Section: Data Sourcesmentioning

confidence: 99%

Sensitivity of satellite microwave and infrared observations to soil moisture at a global scale: Relationship of satellite observations to in situ soil moisture measurements

Prigent¹

2005

J. Geophys. Res.

110

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This study presents a systematic and integrated analysis of the sensitivity of the available satellite observations to in situ soil moisture measurements. Although none of these satellites is optimized for land surface characterization, before the launches of the SMOS‐ and HYDROS‐dedicated missions they are the only potential sources of global soil moisture measurements. The satellite observations include passive microwave emissivities, active microwave scatterometer data, and infrared estimates of the diurnal amplitude of the surface skin temperature. The Global Soil Moisture Data Bank provides in situ soil moisture measurements in five separate regions. This simultaneous analysis of various satellite observations and the large amount of in situ measurements has two major advantages. First, this analysis helps identify and separate the physical mechanisms that affect the satellite observations. For example, we show that the passive microwave polarization differences at 19 GHz and above are essentially sensitive to the vegetation and not to the soil moisture (i.e., the correlation between microwave observations and soil moisture is only indirect and comes from the statistical correlation between vegetation and soil moisture). Second, this analysis enables an objective comparison of the relative potential of the various satellite observations for soil moisture retrieval when other conditions are held constant. The second part of this study benefits from this synthesis to derive a relationship between satellite observations and soil moisture at a global scale.

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MUREX: a land-surface field experiment to study the annual cycle of the energy and water budgets

Cited by 42 publications

References 31 publications

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

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

Monitoring of water and carbon fluxes using a land data assimilation system: a case study for southwestern France

Sensitivity of satellite microwave and infrared observations to soil moisture at a global scale: Relationship of satellite observations to in situ soil moisture measurements

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