English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Now that regional circulation patterns can be reasonably well reproduced byocean circulation models, significant effort is being directed towardincorporating complex food webs into these models, many of which nowroutinely include multiple phytoplankton (P) and zooplankton (Z)compartments. This study quantitatively assesses how the number ofphytoplankton and zooplankton compartments affects the ability of alower-trophic-level ecosystem model to reproduce and predict observedpatterns in surface chlorophyll and particulate organic carbon. Fiveecosystem model variants are implemented in a one-dimensional assimilative(variational adjoint) model testbed in the Mid-Atlantic Bight. The fivemodels are identical except for variations in the level of complexityincluded in the lower trophic levels, which range from a simple 1P1Z food webto a considerably more complex 3P2Z food web. The five models assimilatedsatellite-derived chlorophyll and particulate organic carbon concentrationsat four continental shelf sites, and the resulting optimal parameters weretested at five independent sites in a cross-validation experiment. Althoughall five models showed improvements in model–data misfits afterassimilation, overall the moderately complex 2P2Z model was associated withthe highest model skill. Additional experiments were conducted in which20% random noise was added to the satellite data prior to assimilation.The 1P and 2P models successfully reproduced nearly identical optimalparameters regardless of whether or not noise was added to the assimilateddata, suggesting that random noise inherent in satellite-derived data doesnot pose a significant problem to the assimilation of satellite data intothese models. However, the most complex model tested (3P2Z) was sensitive tothe level of random noise added to the data prior to assimilation,highlighting the potential danger of over-tuning inherent in such complexmodels

biogeosciences

Using biogeochemical data assimilation to assess the relative skill of multiple ecosystem models in the Mid-Atlantic Bight: effects of increasing the complexity of the planktonic food web