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The Global N20 Model Intercomparison Project
Bulletin of American Meteorological Society
  • Hanqin Tian, Chinese Academy of Sciences
  • Jia Yang, Chinese Academy of Sciences
  • Chaoqun (Crystal) Lu, Iowa State University
  • Rongting Xu, Auburn University
  • Josep G. Canadell, Commonwealth Scientific and Industrial Research Organisation Oceans and Atmosphere
  • Robert B. Jackson, Stanford University
  • Almut Arneth, Stanford University
  • Jinfeng Chang, Laboratoire des Sciences du Climat et de l’Environnement
  • Guangsheng Chen, Chinese Academy of Sciences
  • Philippe Ciais, University of Florida
  • Stefan Gerber, University of Florida
  • Akihiko Ito, National Institute for Environmental Studies
  • Yuanyuan Huang, University of Florida
  • Fortunat Joos, University of Berne
  • Sebastian Lienert, University of Bern
  • Palmira Messina, Laboratoire des Sciences du Climat et de l’Environnement
  • Stefan Olin, Lund University
  • Shufen Pan, Chinese Academy of Sciences
  • Changhui Peng, Northwest A&F University
  • Eri Saikawa, Emory University
  • Rona L. Thompson, Norsk Institutt for Luftforskning
  • Nicolas Vuichard, Laboratoire des Sciences du Climat et de l’Environnement
  • Wilfried Winiwarter, University of Zielona Gora
  • Sonke Zaehle, Max Planck Institut für Biogeochemie
  • Bowen Zhang, Auburn University
  • Kerou Zhang, Northwest A&F University
  • Qiuan Zhu, Northwest A&F University
Document Type
Article
Publication Version
Published Version
Publication Date
6-27-2018
DOI
10.1175/BAMS-D-17-0212.1
Abstract

Nitrous oxide (N2O) is an important greenhouse gas and also an ozone-depleting substance that has both natural and anthropogenic sources. Large estimation uncertainty remains on the magnitude and spatiotemporal patterns of N2O fluxes and the key drivers of N2O production in the terrestrial biosphere. Some terrestrial biosphere models have been evolved to account for nitrogen processes and to show the capability to simulate N2O emissions from land ecosystems at the global scale, but large discrepancies exist among their estimates primarily because of inconsistent input datasets, simulation protocol, and model structure and parameterization schemes. Based on the consistent model input data and simulation protocol, the global N2O Model Intercomparison Project (NMIP) was initialized with 10 state-of-the-art terrestrial biosphere models that include nitrogen (N) cycling. Specific objectives of NMIP are to 1) unravel the major N cycling processes controlling N2O fluxes in each model and identify the uncertainty sources from model structure, input data, and parameters; 2) quantify the magnitude and spatial and temporal patterns of global and regional N2O fluxes from the preindustrial period (1860) to present and attribute the relative contributions of multiple environmental factors to N2O dynamics; and 3) provide a benchmarking estimate of N2O fluxes through synthesizing the multimodel simulation results and existing estimates from ground-based observations, inventories, and statistical and empirical extrapolations. This study provides detailed descriptions for the NMIP protocol, input data, model structure, and key parameters, along with preliminary simulation results. The global and regional N2O estimation derived from the NMIP is a key component of the global N2O budget synthesis activity jointly led by the Global Carbon Project and the International Nitrogen Initiative.

Comments

This article is published as Tian, H., J. Yang, C. Lu, R. Xu, J. Canadell, R. Jackson, A. Arneth, et al. 2018. The global N2O Model Intercomparison Project (NMIP): objectives, simulation protocol and expected products. Bulletin of American Meteorological Society Doi: 10.1175/BAMS-D-17-0212.1. Posted with permission.

Copyright Owner
American Meteorological Society
Language
en
File Format
application/pdf
Citation Information
Hanqin Tian, Jia Yang, Chaoqun (Crystal) Lu, Rongting Xu, et al.. "The Global N20 Model Intercomparison Project" Bulletin of American Meteorological Society (2018) p. 1231 - 1251
Available at: http://works.bepress.com/chaoqun_lu/36/