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Mats Lindeskog

Postdoc

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Effect of climate data on simulated carbon and nitrogen balances for Europe

Författare

  • Jan Hendrik Blanke
  • Mats Lindeskog
  • Johan Lindström
  • Veiko Lehsten

Summary, in English

In this study, we systematically assess the spatial variability in carbon and nitrogen balance simulations related to the choice of global circulation models (GCMs), representative concentration pathways (RCPs), spatial resolutions, and the downscaling methods used as calculated with LPJ-GUESS. We employed a complete factorial design and performed 24 simulations for Europe with different climate input data sets and different combinations of these four factors. Our results reveal that the variability in simulated output in Europe is moderate with 35.6%–93.5% of the total variability being common among all combinations of factors. The spatial resolution is the most important factor among the examined factors, explaining 1.5%–10.7% of the total variability followed by GCMs (0.3%–7.6%), RCPs (0%–6.3%), and downscaling methods (0.1%–4.6%). The higher-order interactions effect that captures nonlinear relations between the factors and random effects is pronounced and accounts for 1.6%–45.8% to the total variability. The most distinct hot spots of variability include the mountain ranges in North Scandinavia and the Alps, and the Iberian Peninsula. Based on our findings, we advise to conduct the application of models such as LPJ-GUESS at a reasonably high spatial resolution which is supported by the model structure. There is no notable gain in simulations of ecosystem carbon and nitrogen stocks and fluxes from using regionally downscaled climate in preference to bias-corrected, bilinearly interpolated CMIP5 projections.

Avdelning/ar

  • Institutionen för naturgeografi och ekosystemvetenskap
  • Matematisk statistik
  • MERGE: ModElling the Regional and Global Earth system
  • BECC: Biodiversity and Ecosystem services in a Changing Climate

Publiceringsår

2016-05-01

Språk

Engelska

Sidor

1352-1371

Publikation/Tidskrift/Serie

Journal of Geophysical Research - Biogeosciences

Volym

121

Issue

5

Dokumenttyp

Artikel i tidskrift

Förlag

Wiley

Ämne

  • Climate Research

Nyckelord

  • climate data
  • DGVM
  • downscaling
  • LPJ-GUESS
  • sensitivity
  • spatial resolution

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 2169-8953