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Quantifying and visualizing the skill of biogeochemistry models in reproducing satellite chlorophyll patterns with binary metrics: a validation study-
Baetens, K.; Salon, S.; Cossarini, G.; Wehde, H.; Legrand, S.; Mahdon, R.; Maksymczuk, J. (2016). Quantifying and visualizing the skill of biogeochemistry models in reproducing satellite chlorophyll patterns with binary metrics: a validation study., in: Degraer, S. et al. (Ed.) North Sea Open Science Conference 7-10/11/2016. Abstract Booklet. pp. 89
In: Degraer, S. et al. (2016). North Sea Open Science Conference 7-10/11/2016. Abstract Booklet. Royal Belgian Institute of Natural Sciences and Belgian Biodiversity Platform: Brussel. 142 pp.
Available in  Authors 
Document type: Summary
Keyword
    Marine/Coastal
Author keywords
    Validation technique; biogeochemistry models; satellite data; neighbouring methods; binary methods; pattern validation
Authors  Top 
  • Baetens, K.
  • Salon, S.
  • Cossarini, G.
  • Wehde, H.
  • Legrand, S.
  • Mahdon, R.
  • Maksymczuk, J.
All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors 
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