ECOCLIMAP-II/Europe: a twofold database of ecosystems and surface parameters at 1 km resolution based on satellite information for use in land surface, meteorological and climate models

Faroux, Stéphanie; Tchuenté, Armel Thibaut Kaptué; Roujean, Jean‐Louis; Masson, Valéry; Martin, E.; Moigne, Patrick Le

doi:10.5194/gmd-6-563-2013

Cited by 257 publications

(234 citation statements)

References 45 publications

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“…The above-ground vegetation parameters, the rooting depth (1.5 m) and the deep reservoir size (0.5 m) are provided by the ECOCLIMAP-II database (Gibelin et al, 2006;Faroux et al, 2013). The soil hydraulic properties (θ s , θ fc , θ wp ) are derived from the local soil texture using the ISBA pedotransfer functions (Noilhan and Laccarère, 1994).…”

Section: Simulation Casesmentioning

confidence: 99%

Evaluation of land surface model simulations of evapotranspiration over a 12-year crop succession: impact of soil hydraulic and vegetation properties

Garrigues

Olioso

Calvet

et al. 2015

Hydrol. Earth Syst. Sci.

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Abstract. Evapotranspiration has been recognized as one of the most uncertain terms in the surface water balance simulated by land surface models. In this study, the SURFEX/ISBA-A-gs (Interaction Sol-BiosphereAtmosphere) simulations of evapotranspiration are assessed at the field scale over a 12-year Mediterranean crop succession. The model is evaluated in its standard implementation which relies on the use of the ISBA pedotransfer estimates of the soil properties. The originality of this work consists in explicitly representing the succession of crop cycles and inter-crop bare soil periods in the simulations and assessing its impact on the dynamics of simulated and measured evapotranspiration over a long period of time. The analysis focuses on key parameters which drive the simulation of ET, namely the rooting depth, the soil moisture at saturation, the soil moisture at field capacity and the soil moisture at wilting point. A sensitivity analysis is first conducted to quantify the relative contribution of each parameter on ET simulation over 12 years. The impact of the estimation method used to retrieve the soil parameters (pedotransfer function, laboratory and field methods) on ET is then analysed. The benefit of representing the variations in time of the rooting depth and wilting point is evaluated. Finally, the propagation of uncertainties in the soil parameters on ET simulations is quantified through a Monte Carlo analysis and compared with the uncertainties triggered by the mesophyll conductance which is a key above-ground driver of the stomatal conductance.This work shows that evapotranspiration mainly results from the soil evaporation when it is continuously simulated over a Mediterranean crop succession. This results in a high sensitivity of simulated evapotranspiration to uncertainties in the soil moisture at field capacity and the soil moisture at saturation, both of which drive the simulation of soil evaporation. Field capacity was proved to be the most influencing parameter on the simulation of evapotranspiration over the crop succession. The evapotranspiration simulated with the standard surface and soil parameters of the model is largely underestimated. The deficit in cumulative evapotranspiration amounts to 24 % over 12 years. The bias in daily daytime evapotranspiration is −0.24 mm day −1 . The ISBA pedotransfer estimates of the soil moisture at saturation and at wilting point are overestimated, which explains most of the evapotranspiration underestimation. The use of field capacity values retrieved from laboratory methods leads to inaccurate simulation of ET due to the lack of representativeness of the soil structure variability at the field scale. The most accurate simulation is achieved with the average values of the soil properties derived from the analysis of field measurements of soil moisture vertical profiles over each crop cycle. The representation of the variations in time of the wilting point and the maximum rooting depth over the crop succession has litPublished by Copernicus Publica...

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Section: Simulation Casesmentioning

confidence: 99%

Evaluation of land surface model simulations of evapotranspiration over a 12-year crop succession: impact of soil hydraulic and vegetation properties

Garrigues

Olioso

Calvet

et al. 2015

Hydrol. Earth Syst. Sci.

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“…soil and root depths; porosity; soil types), and geographical data (elevation and slope). Ground-surface physical parameters were created using Ecoclimap (Faroux et al, 2013) provided by Meteo-France, and ground surfacecover data were created using MIRCA2000 (Portmann et al, 2008) and GLCC version 2.0 provided by the United States Geological Survey (USGS). The Shuttle Radar Topography Mission (SRTM) 90 m digital elevation data was used to determine elevation and slope.…”

Section: Hydrological Modelmentioning

confidence: 99%

Projected hydrological changes and their consistency under future climate in the Chao Phraya River Basin using multi-model and multi-scenario of CMIP5 dataset

Kotsuki

Tanaka

Watanabe

2014

Hydrological Research Letters

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Abstract:It is important to examine what future hydrological changes could occur as a result of climate change. In this study, we projected hydrological changes and their consistency under near-future and end-of-21st-century climate in the Chao Phraya River Basin. Through hydrological simulations using output from six AOGCMs under the RCP 4.5 and 8.5 scenarios, we have reached the following conclusions. Our results demonstrate a projected increase in mid-rainy season precipitation under future climate, which is a necessary condition for a large volume of runoff to occur in the late rainy season. Under end-of-21st-century climate, all simulations using six AOGCMs showed a large increase (> 20%) in runoff in Nakhon Sawan catchment under both RCP scenarios. Compared to the capacities of the Bhumibol and Sirikit dams, projected increases in runoff at the end of the 21st century are high. New flood management and mitigation plans will likely be necessary. Ensemble mean increases in precipitation and runoff were higher under RCP 8.5 than under the RCP 4.5 scenario in both projected periods. Thus, higher global mean temperature would cause higher precipitation and runoff in the basin. This inference is also supported by the higher precipitation and runoff projected under the late future compared with under the near-future climate.

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“…This work is one of several LC_CCI publications that have previously described the need for consistent land cover mapping (Bontemps et al, 2012), the user requirements (Tsendbazar et al, 2014) and the processing of remote sensing data (Radoux et al, 2014). Land cover to PFT conversion is a complex task and until the mapping of plant functional traits at global scale becomes possible (i.e., via "optical types"; Ustin and Gamon, 2010), the cross-walking approach remains a viable alternative for generating vegetation requirements for ESM and DGVM modeling approaches (Bonan et al, 2002;Faroux et al, 2013;Gotangco Castillo et al, 2013;Jung et al, 2006;Lawrence et al, 2011;Lawrence and Chase, 2007;Poulter et al, 2011;Verant et al, 2004;Wullschleger et al, 2014). The LC_CCI conversion scheme described here provides users with a transparent methodology as well as the flexibility to modify the cross-walking approach to fit the needs of their study region.…”

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confidence: 99%

Plant functional type classification for earth system models: results from the European Space Agency's Land Cover Climate Change Initiative

et al. 2015

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Abstract. Global land cover is a key variable in the earth system with feedbacks on climate, biodiversity and natural resources. However, global land cover data sets presently fall short of user needs in providing detailed spatial and thematic information that is consistently mapped over time and easily transferable to the requirements of earth system models. In 2009, the European Space Agency launched the Climate Change Initiative (CCI), with land cover (LC_CCI) as 1 of 13 essential climate variables targeted for research development. The LC_CCI was implemented in three phases: first responding to a survey of user needs; developing a global, moderate-resolution land cover data set for three time periods, or epochs (2000, 2005, and 2010); and the last phase resulting in a user tool for converting land cover to plant functional type equivalents. Here we present the results of the LC_CCI project with a focus on the mapping approach used to convert the United Nations Land Cover Classification System to plant functional types (PFTs). The translation was performed as part of consultative process among map producers and users, and resulted in an open-source conversion tool. A comparison with existing PFT maps used by three earth system modeling teams shows significant differences between the LC_CCI PFT data set and those currently used in earth system models with likely consequences for modeling terrestrial biogeochemistry and land-atmosphere interactions. The main difference between the new LC_CCI product and PFT data sets used currently by three different dynamic global vegetation modeling teams is a reduction in high-latitude grassland cover, a reduction in tropical tree cover and an expansion in temperate forest cover in Europe. The LC_CCI tool is flexible for users to modify land cover to PFT conversions and will evolve as phase 2 of the European Space Agency CCI program continues.

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ECOCLIMAP-II/Europe: a twofold database of ecosystems and surface parameters at 1 km resolution based on satellite information for use in land surface, meteorological and climate models

Cited by 257 publications

References 45 publications

Evaluation of land surface model simulations of evapotranspiration over a 12-year crop succession: impact of soil hydraulic and vegetation properties

Evaluation of land surface model simulations of evapotranspiration over a 12-year crop succession: impact of soil hydraulic and vegetation properties

Projected hydrological changes and their consistency under future climate in the Chao Phraya River Basin using multi-model and multi-scenario of CMIP5 dataset

Plant functional type classification for earth system models: results from the European Space Agency's Land Cover Climate Change Initiative

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