FATE Output Visualiser (FOV) is a web-interface to visualise and extract selected simulation outputs (NetCDF data) generated by Finely-Advanced Transboundary Environmental model (FATE). Figure 1 shows a sample gif animation created by FOV.
FATE is the most recently developed 3D dynamic multi-media model and is capable of predicting the global fate and transport of polychlorinated biphenyls (PCBs) in and across the atmosphere, oceans, soil, vegetation, and cryosphere (Figure 2; Kawai et al., 2014; Handoh and Kawai, 2014). The land-ocean surface cell of FATE describes fractions for the following nine land-cover classes: ocean, inland water, permanent ice, bare soil, grass, deciduous needle-leaf, deciduous broad-leaf, evergreen needle-leaf, and evergreen broad-leaf forests (Figure 3). The modelled atmosphere and ocean compartments reproduce dynamic processes (advection and diffusion) with spatial resolutions of 2.5° × 2.5° × 20 layers (1 - 0.01 in the sigma vertical coordinate system throughout the depth of troposphere) and 1.0° × 1.0° × 51 layers (0 - 6,000 m), respectively. The model also reproduces bioaccumulation in lower trophic-level (TL) organisms (particulate organic matter (POM) as a proxy for phytoplankton and zooplankton) and its subsequent bioaccumulation through marine food webs (teleosts, coastal and pelagic elasmobranchs), other important biogeochemical processes in the ocean interior, dry and wet depositions, inter-media diffusive exchange of gaseous substances, degradations, phase partitions, and 1D transport across the vegetation–soil boundary (defoliation, infiltration, and diffusion). PCBs emission datasets (Breivik et al., 2016) were used to force the current version of FATE (See Handoh and Kawai (2014) for the rest of input datasets).
FATE-predicted PCBs concentrations in the atmosphere, oceans, and marine mammals were validated against several independent observational datasets, part of which have been curated on ChemTHEATRE. Further development of FATE is currently being undertaken to employ CMIP6 simulations (such as UKESM1-0-LL HISTORICAL and SSP585 experiments) as new inputs, to apply a Bayesian uncertainty/sensitivity analysis (Handoh and Kawai, 2014) into quantification of a systemic and integrated ecological risk (= exposure × toxicity) in the light of Planetary Boundaries for ‘Novel Entities’ (formerly chemical pollution), and to predict the global fates and transports of other persistent organic pollutants (POPs) and mercury (Kawai et al., 2020) under the Stockholm Convention on POPs and Minamata Convention on Mercury, respectively.
Breivik, K., Armitage, J.M., Wania, F., Sweetman, A.J., and Jones, K.C. (2016). Tracking the global distribution of persistent organic pollutants accounting for e-waste exports to developing regions. Environmental Science & Technology, 50(2): 798-805.
Handoh, I.C., and Kawai, T. (2014). Modelling exposure of oceanic higher trophic-level consumers to polychlorinated biphenyls: Pollution 'hotspots' in relation to mass mortality events of marine mammals. Marine Pollution Bulletin, 85(2): 824-830.
Kawai, T., Jagiello, K., Sosnowska, A., Odziomek, K., Gajewicz, A., Handoh, I.C., Puzyn, T., and Suzuki, N. (2014). A new metric for long-range transport potential of chemicals. Environmental Science & Technology, 48(6): 3,245-3,252.
Kawai, T., Sakurai, T., and Suzuki, N. (2020). Application of a new dynamic 3-D model to investigate human impacts on the fate of mercury in the global ocean.Environmental Modelling & Software, 124, 104599.