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Modeling denitrification: can we report what we don’t know?
  • +22
  • Balázs Péter Grosz,
  • Amanda Matson,
  • Klaus Butterbach-Bahl,
  • Timothy Clough,
  • Eric A. Davidson,
  • Rene Dechow,
  • Stephen DelGrosso,
  • Efstathios Diamantopoulos,
  • Peter Dörsch,
  • Edwin Haas,
  • Hongxing He,
  • Christopher Vincent Henri,
  • Dafeng Hui,
  • Kristina Kleineidam,
  • David Kraus,
  • Matthias Kuhnert,
  • Joël Léonard,
  • Christoph Mueller,
  • Søren O. Petersen,
  • Debjani Sihi,
  • Iris Vogeler,
  • Reinhard Well,
  • Jagadeesh Babu Yeluripati,
  • Jie Zhang,
  • Clemens Scheer
Balázs Péter Grosz
Thünen Institute of Climate-Smart Agriculture

Corresponding Author:[email protected]

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Amanda Matson
Wageningen University & Researchne
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Klaus Butterbach-Bahl
Aarhus University
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Timothy Clough
Lincoln University
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Eric A. Davidson
University of Maryland Center for Environmental Science
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Rene Dechow
Thünen Institute
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Stephen DelGrosso
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Efstathios Diamantopoulos
University of Copenhagen
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Peter Dörsch
Norwegian University of Life Sciences
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Edwin Haas
Institute for Meteorology and Climate Research (IMK-IFU)
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Hongxing He
McGill University
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Christopher Vincent Henri
Geological Survey of Denmark and Greenland
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Dafeng Hui
Tennessee State University
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Kristina Kleineidam
Justus-Liebig University Giessen
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David Kraus
Institute of Meteorology and Climate Research, Atmospheric Environmental Research, Karlsruhe Research Centre
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Matthias Kuhnert
Aberdeen University
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Joël Léonard
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Christoph Mueller
Justus-Liebig University Giessen
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Søren O. Petersen
Aarhus University
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Debjani Sihi
Oak Ridge National Laboratory
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Iris Vogeler
Aarhus University
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Reinhard Well
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Jagadeesh Babu Yeluripati
The James Hutton Institute
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Jie Zhang
Aarhus University
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Clemens Scheer
IMK-IFU, Karlsruhe Institute of Technology
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Biogeochemical models simulate soil nitrogen (N) turnover and are often used to assess N losses through denitrification. Though models simulate a complete N budget, only specific N pools/fluxes (i.e. N2O, NO3-, NH3, NOx) are usually published, because the full budget cannot be validated with measured data. Field studies rarely include full N balances, especially N2 fluxes, which are difficult to quantify. Limiting publication of modeling results based on available field data is a missed opportunity to improve the understanding of modeled processes. We suggest that the modeler community support publication of all simulated N pools and processes in future studies.
24 May 2023Submitted to ESS Open Archive
25 May 2023Published in ESS Open Archive