Gross Primary Production of Antarctic Landfast Sea Ice: A Model-Based Estimate

• Other Authors: AADC (owner), AADC, DATA OFFICER (distributor), AADC, DATA OFFICER (custodian), AU/AADC > Australian Antarctic Data Centre, Australia (hasAssociationWith), Australian Antarctic Data Centre (publisher), Australian Antarctic Division (sponsor), WONGPAN, PAT (collaborator), WONGPAN, PAT (hasPrincipalInvestigator), WONGPAN, PAT (author), Wongpan, P. (originator)
• Format: Dataset
• Language: unknown
• Published: Australian Ocean Data Network
• Subjects: oceans; EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PLANTS > MICROALGAE; CRYOSPHERE > SEA ICE > ICE EXTENT; ICE EDGES; ICE TYPES; OCEANS > SEA ICE ALGAE; LANDFAST SEA ICE; SEA ICE SIMULATION; Computer > Computer; MODELS > MODELS; AMD/AU; CEOS; AMD; GEOGRAPHIC REGION > POLAR; CONTINENT > ANTARCTICA; OCEAN > SOUTHERN OCEAN; Antarctic; Southern Ocean; The Antarctic; Antarc*; Antarctica; ice algae; Sea ice
• Online Access: https://researchdata.edu.au/gross-primary-production-based-estimate/3384114

Progress Code: completed Gross Primary Production of Antarctic Landfast Sea Ice: A Model-Based Estimate These are the input and outputs containing gross primary production of Antarctic landfast sea ice (fast ice) data used in the paper " Gross Primary Production of Antarctic Landfast Sea Ice: A Model-Based Estimate" by Wongpan et al. There are required inputs and processed outputs from the 1-dimensional Louvain-la-Neuve Sea Ice Model (LIM1D). The model was configured to model Antarctic fast ice, assumed to form in situ with its spatial distribution prescribed from the recent satellite-derived fast ice product of Fraser et al. (2020), with an initial thickness of 0.05 m (Wongpan et al., 2021), and evolving with a 1–h time step. LIM1D represents the ice column as ten layers with equal thickness plus one additional snow layer. Four categories of physical processes are implemented: sea-ice growth and melt, thermal diffusion, brine dynamics, and radiative transfer. Photosynthesis was limited by light and macro-nutrient availability, temperature, and brine salinity. A full description of LIM1D is given in Vancoppenolle et al. (2010), Moreau et al. (2015) and Vancoppenolle and Tedesco (2016). We followed initialization and parameterizations as described in Lim et al. (2019) suggesting that ice algae (represented as diatoms) have higher silicate half-saturation constants (KSi) than pelagic diatom species. The model can be downloaded from http://forge.ipsl.jussieu.fr/lim1d revision #3.26. The Japanese 55-year atmospheric reanalysis product for driving ocean-sea ice models (JRA55-do; Tsujino et al., 2018) was used as surface forcing, selected because of its high resolution and development for forcing ocean and sea-ice models of the Ocean Model Intercomparison Project phase 2 (OMIP-2; Tsujino et al., 2020). To avoid truncation of extremely low air temperatures applied in JRA55-do around the Antarctic coast as a function of time and latitude(Large and Yeager, 2004; Tsujino et al., 2018), JRA55-do temperatures were ...