4.7 Article

Potential Predictability of Net Primary Production in the Ocean

期刊

GLOBAL BIOGEOCHEMICAL CYCLES
卷 34, 期 6, 页码 -

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1029/2020GB006531

关键词

net primary production; prediction; Large Marine Ecosystems

资金

  1. National Science Foundation [OCE-1752724, OCE-1558225]
  2. Office of Science of the U.S. Department of Energy [DEAC02-05CH11231]
  3. NCAR's Computational and Information Systems Laboratory
  4. National Oceanic and Atmospheric Administration Climate Program Office under Climate Variability and Predictability Program [NA09OAR4310163]
  5. National Science Foundation Collaborative Research EaSM2 Grant [OCE-1243015]
  6. National Center for Atmospheric Research - National Science Foundation [1852977]

向作者/读者索取更多资源

Interannual variations in marine net primary production (NPP) contribute to the variability of available living marine resources, as well as influence critical carbon cycle processes. Here we provide a global overview of near-term (1 to 10 years) potential predictability of marine NPP using a novel set of initialized retrospective decadal forecasts from an Earth System Model. Interannual variations in marine NPP are potentially predictable in many areas of the ocean 1 to 3 years in advance, from temperate waters to the tropics, showing a substantial improvement over a simple persistence forecast. However, some regions, such as the subpolar Southern Ocean, show low potential predictability. We analyze how bottom-up drivers of marine NPP (nutrients, light, and temperature) contribute to its predictability. Regions where NPP is primarily driven by the physical supply of nutrients (e.g., subtropics) retain higher potential predictability than high-latitude regions where NPP is controlled by light and/or temperature (e.g., the Southern Ocean). We further examine NPP predictability in the world's Large Marine Ecosystems. With a few exceptions, we show that initialized forecasts improve potential predictability of NPP in Large Marine Ecosystems over a persistence forecast and may aid to manage living marine resources.

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