Skip to main navigation Skip to search Skip to main content

Impact analysis of climate data aggregation at different spatial scales on simulated net primary productivity for croplands.

  • M. Kuhnert
  • , J. Yeluripati
  • , P. Smith
  • , H. Hoffmann
  • , M. van Oijen
  • , J. Constantin
  • , E. Coucheney
  • , R. Dechow
  • , H. Eckersten
  • , T. Gaiser
  • , B. Grosz
  • , E. Haas
  • , K.C. Kersebaum
  • , R. Kiese
  • , S. Klatt
  • , E. Lewan
  • , C. Nendel
  • , H. Raynal
  • , C. Sosa
  • , X. Specka
  • E. Teixeira, E.L. Wang, L. Weihermuller, G. Zhao, Z.G. Zhao, S. Ogle, F. Ewert
  • University of Aberdeen
  • University of Bonn
  • UK Centre for Ecology and Hydrology (Edinburgh. Scotland)
  • INRA - Institut National de la Recherche Agronomique
  • Thünen Institute
  • Swedish University of Agricultural Sciences
  • Karlsruhe Institute of Technology
  • Institute of Meteorology and Climate Research (Germany)
  • Leibniz Centre for Agricultural Landscape Research
  • CSIRO
  • New Zealand Institute for Plant and Food Research Ltd.
  • University of Colorado

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)41-52
JournalEuropean Journal of Agronomy
Volume88
DOIs
Publication statusPublished - 24 Jul 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Climate data aggregation
  • Crop modelling
  • Extreme events
  • NNP
  • Net primary production
  • Scaling

Cite this