EcoGEnIE 1.0: plankton ecology in the cGEnIE Earth system model

Ward, Ben A.; Wilson, Jamie D.; Death, Ros M.; Monteiro, Fanny M.; Yool, Andrew ORCID: https://orcid.org/0000-0002-9879-2776; Ridgwell, Andy. 2018 EcoGEnIE 1.0: plankton ecology in the cGEnIE Earth system model. Geoscientific Model Development, 11 (10). 4241-4267. https://doi.org/10.5194/gmd-11-4241-2018

Before downloading, please read NORA policies.

Text gmd-11-4241-2018.pdf.crdownload Available under License Creative Commons Attribution 4.0. Download (8MB)

Abstract/Summary

We present an extension to the carbon-centric Grid Enabled Integrated Earth system model (cGEnIE) that explicitly accounts for the growth and interaction of an arbitrary number of plankton species. The new package (ECOGEM) replaces the implicit, flux-based parameterisation of the plankton community currently employed, with explicitly resolved plankton populations and ecological dynamics. In ECOGEM, any number of plankton species, with ecophysiological traits (e.g. growth and grazing rates) assigned according to organism size and functional group (e.g. phytoplankton and zooplankton) can be incorporated at runtime. We illustrate the capability of the marine ecology enabled Earth system model (EcoGEnIE) by comparing results from one configuration of ECOGEM (with eight generic phytoplankton and zooplankton size classes) to climatological and seasonal observations. We find that the new ecological components of the model show reasonable agreement with both global-scale climatological and local-scale seasonal data. We also compare EcoGEnIE results to the existing biogeochemical incarnation of cGEnIE. We find that the resulting global-scale distributions of phosphate, iron, dissolved inorganic carbon, alkalinity, and oxygen are similar for both iterations of the model. A slight deterioration in some fields in EcoGEnIE (relative to the data) is observed, although we make no attempt to re-tune the overall marine cycling of carbon and nutrients here. The increased capabilities of EcoGEnIE in this regard will enable future exploration of the ecological community on much longer timescales than have previously been examined in global ocean ecosystem models and particularly for past climates and global biogeochemical cycles.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.5194/gmd-11-4241-2018
ISSN:	1991-9603
Date made live:	04 Jan 2019 12:02 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/521956

Actions (login required)

View Item

Document Downloads

More statistics for this item...