Published May 26, 2023 | Version V1.0.0
Software Open

1D model STEP-GENDEC-CN

Authors/Creators

  • 1. Université Cheikh Anta Diop, Dakar, Senegal; Institut Sénégalais de Recherches Agricoles, Dakar, Senegal; LMI IESOL, Centre IRD-ISRA de Bel Air, Dakar, Senegal
  • 2. Laboratoire d'Aérologie, Université de Toulouse, CNRS, UPS-UT3, IRD, France
  • 3. Geosciences Environnement Toulouse, Université de Toulouse, CNES, CNRS, UPS-UT3, IRD, France,
  • 4. Geosciences Environnement Toulouse, Université de Toulouse, CNES, CNRS, UPS-UT3, IRD, France
  • 5. LMI IESOL, CIRAD, Dakar, Senegal; Eco&Sols, Montpellier, France

Contributors

Researcher:

Description

1D-STEP-GENDEC-CN is a 1D coupled process-based model developed for Sahelian herbaceous savannas. It simulates a set of processes describing the water, C and N cycling between the atmosphere, vegetation, and soil at daily temporal resolution. STEP-GENDEC-CN model is forced daily by rain, global radiation, air temperature, wind speed, and relative air humidity at 2 m height

Notes

Funded by EU DeSIRA CaSSECS (FOOD/2019/410-169) and H2020-MSCA-RISE INSA (871944)

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Additional details

Funding

European Commission
INSA - Integrated Nitrogen Studies in Africa 871944

References

  • Mougin et al., 1995, A regional Sahelian grassland model to be coupled with multispectral satellite data. I: Model description and validation. Remote Sensing of Environment 52, 181–193. https://doi.org/10.1016/0034-4257(94)00126-8
  • Moorhead et al., 1991, A general model of litter decomposition in the northern Chihuahuan Desert. Ecological Modelling 56, 197–219. https://doi.org/10.1016/0304-3800(91)90200-K
  • Delon et al., 2015, Modelling the effect of soil moisture and organic matter degradation on biogenic NO emissions from soils in Sahel rangeland (Mali). Biogeosciences 12, 3253–3272. https://doi.org/10.5194/bg-12-3253-2015
  • Bigaignon et al., 2020, Understanding N2O Emissions in African Ecosystems: Assessments from a Semi-Arid Savanna Grassland in Senegal and Sub-Tropical Agricultural Fields in Kenya, https://doi.org/10.3390/su12218875