https://orcid.org/0000-0002-1831-5081
Figures & data
Figure 1. Main PEEX four focus areas and substructure of the research infrastructure.
Figure 2. Seamless-coupling approach: multi-dimensions (tools, scales, components and processes) and linking to services and end-users through evaluation of impacts and consequences and assessments.
Figure 3. Examples (snapshots) of modelling results: (a) EC-Earth – cloud condensation nuclei, CCN spatial distribution in the Northern Hemisphere (note relatively lower CCN in the Arctic regions, dominating lower values over ocean/sea areas compared to land); and (b) CESM/ocean-ice – surface speed in the eddy-resolving version (note fine-scale filaments along the Norwegian and Siberian coast, indicative of the turbulent mixing processes that bring the fresh estuary waters into the interior ocean).
Figure 4. The components (atmosphere – for air, hydrosphere – for water, pedosphere – for soil, biosphere – for ecosystems) and processes of the models being a part of the PEEX-Modelling-Platform (PEEX-MP).
Figure 5. Schematics of the EC-Earth model components: TM5 (aerosols and chemistry), NEMO (ocean), IFS (atmosphere), LPJ-GUESS (vegetation); the submodels are connected via the OASIS coupler.
Figure 6. Schematics of the Enviro-HIRLAM – seamless meteorology-chemistry-aerosols multi-scale modelling system.
Figure 7. Example of operational forecasts for PM2.5 in downscaling chain – regional-subregional-urban scales at (a) 15, (b) 5, and (c) 2.5 km horizontal resolutions, respectively – for China’s regions.
Figure 8. PEEX model infrastructure with a linkage to the PEEX observation infrastructure.
Figure 9. Scheme of environmental risk assessment and mitigation strategy optimization based on forward and inverse modelling.
Figure 10. PEEX Modelling Platform data flow from model runs to products and publications with long-term archiving and delivering for potential customers.
Figure 11. Screenshot of the online PEEX-View tool (with locations of the PEEX stations) showing: (a) aerosol concentration and backward trajectories arriving at the SMEAR-II (Hyytiälä) station, MODIS-derived fire locations for 12 June 2008, and monthly average ocean chlorophyll concentrations from MODIS; and (b) monthly averaged (June 2008) aerosol optical depth and chlorophyll concentrations.
Figure 12. Web-based atlas for (a) month-to-month variability of average (AVG) and summary (SUM) time integrated air concentration (TIAC), dry (DD) and wet (WD) deposition patterns of sulphates from smelters of the Norilsk Nikel Enterprize (Krasnoyarsk Krai, Russia); and (a) individual yearly loadings for population (in kg/person) from deposited sulfates resulted from the severonickel smelters (Kola Peninsula) continuous emissions (mild scenario, appx 32 thou. tonnes of SO2).
TBED-2023-0046R2_SupplMaterial.docx
Download MS Word (31.9 KB)Data availability statement
The data that support the findings of this study are available from authors of this paper upon reasonable request. The model outputs (from different mentioned models) are available on a case-by-case or project-by-project basis and can be accessed through communication with owners of the model results or following the references in the manuscript to corresponding publications. The observations (from different mentioned studies/campaigns/etc.) are also available on a same basis and can be accessed by contacting the owners of the observations or following the references in the manuscript to corresponding publications (or mentioned datasets/databases). The results shown in Section 4 of the manuscript (at https://www.atm.helsinki.fi/peex_view and http://www.atm.helsinki.fi/peex/webatlas/WEBATLAS.html) can be openly/publicly accessed and downloaded.