Seamless Modelling for Environmental Studies: Enviro-HIRLAM Recent Research and Development

Autor: Alexander Mahura, Roman Nuterman, Alexander Baklanov, Georgii Nerobelov, Mykhailo Savenets, Larysa Pysarenko, Margarita Sedeeva, Pavel Amosov, Aleksandr Losev, Victoria Maksimova, Fidel Pankratov, Svitlana Krakowska, Sergey Smyshlayaev, Tuukka Petaja, Markku Kulmala
Rok vydání: 2022
DOI: 10.5194/egusphere-egu22-10551
Popis: The Enviro-HIRLAM (Environment - HIgh Resolution Limited Area Model) is seamless/ online integrated numerical weather prediction and atmospheric chemical transport modelling system capable to simulate simultaneously meteorology – atmospheric composition on regional to subregional – urban scales.The main areas of the model research and development include: downscaling/ nesting for high resolutions; improved resolving boundary and surface layers structures; urbanization and sub-layer processes; improvement of advection schemes; integration of natural and anthropogenic emission inventories; implementation of gas-phase chemistry mechanisms, aerosol dynamics and microphysics, aerosol feedback and interactions mechanisms.The Enviro-components includes: gas-phase chemistry; aerosol microphysics with nucleation, coagulation, condensation of sulfate, mineral dust, sea-salt, black and organic carbon together with aerosols’ dry and wet deposition, sedimentation processes; parameterisations of urban sublayer with modifications of the interaction soil–biosphere–atmosphere scheme; sulfur cycle mechanism with dimethyl sulfide, sulfur dioxide and sulfate; radiation scheme improved to account explicitly for aerosol radiation interactions for aerosol subtypes; aerosol activation implemented in condensation-convection scheme with nucleation dependent on aerosol properties and ice-phase processes; locally mass-conserving semi-Lagrangian numerical advection scheme; natural and anthropogenic emission inventories.The Enviro-HIRLAM utilises extraction and pre-processing of initial/ boundary meteorology-chemistry-aerosol conditions and observations for data assimilation (from ECMWF’s ERA-5 & CAMS), pre-processing of selected emission inventories for anthropogenic and natural emissions. The latest version has been run on CRAY-XC30/40 and Atos BullSequana HPCs machines, and it has been developed through the research and HPC projects such as Enviro-HIRLAM at CSC and Enviro-PEEX & Enviro-PEEX(Plus) at ECMWF, as well as other research projects.The research, development and science education of the modelling system and its applications will be demonstrated on examples, where the Enviro-HIRLAM is used as a research tool for studies in domain of the Pan-Eurasian Experiment (PEEX; https://www.atm.helsinki.fi/peex) programme. Examples of such include: aspects of regional-subregional-urban downscaling with focus on metropolitan areas of St.Petersburg and Moscow; influence of dust transport from artificial tailing dumps and Cu-Ni smelters of the Kola Peninsula on pollution of environment and health of population; aerosol feedbacks and interactions at regional scale in the Arctic-boreal domain; evaluation of atmosphere-land-sea surfaces interactions, and in particular, heat-moisture exchange/ regime between these surfaces and for better understanding and forecasting of local meteorology in the Arctic; analysis of urban meteorology and atmospheric pollution with integrated approach to high-resolution numerical modelling; and others. The modelling output provides meteorology-chemistry related input to assessment studies for population and environment as well as can be integrated into GIS environment for further risk/vulnerability/consequences/etc. estimation, and other studies.The science education component for the model is also realised though short-term visits of young researchers, organization and carrying out research training weeks. The latest face-to-face trainings took place in Apr and Jun 2019 (Helsinki and Tyumen), and online in Nov-Dec 2021 (https://megapolis2021.ru).
Databáze: OpenAIRE