Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Mykhailo Savenets"'
Autor:
Mykhailo Savenets, Valeriia Rybchynska, Alexander Mahura, Roman Nuterman, Alexander Baklanov, Markku Kulmala, Tuukka Petäjä
Publikováno v:
Atmosphere, Vol 15, Iss 5, p 550 (2024)
Wildfires frequently occur in Ukraine during agricultural open-burning seasons in spring and autumn. High aerosol concentrations from fire emissions can significantly affect meteorological processes via direct and indirect aerosol effects. To study t
Externí odkaz:
https://doaj.org/article/bf8b1201a0164b7fb99a6c49012af0cf
Publikováno v:
Вісник Харківського національного університету імені В.Н. Каразіна. Серія Геологія. Географія. Екологія, Iss 57, Pp 195-205 (2022)
Introduction. Air pollution heterogeneity and rapid urbanization impose numerous constraints on available near-surface air quality monitoring. The solution for effective warning comes with the integration of different data, including remote sensing.
Externí odkaz:
https://doaj.org/article/e0f0ec0ff5d541b6a6c2bb4893cd49d3
Autor:
Alexander Mahura, Roman Nuterman, Alexander Baklanov, Mykhailo Savenets, Larysa Pysarenko, Svitlana Krakowska, Igor Ezau, Behzad Heibati, Benjamin Foreback, Michael Boy, Risto Makkonen, Hanna K. Lappalainen, Tuukka Petäjä, Markku Kulmala
The Enviro-HIRLAM (Environment - HIgh Resolution Limited Area Model) is seamless/ online integrated numerical weather prediction and atmospheric chemical transport modelling system. It is capable of simultaneous simulation of meteorology – atmosphe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d4240356bdde0ee9997959ef08c106c
https://doi.org/10.5194/egusphere-egu23-17305
https://doi.org/10.5194/egusphere-egu23-17305
Funding Information: The study is part of the Enviro–PEEX on the ECMWF (Pan-Eurasian Experiment (PEEX; https://www.atm.helsinki.fi/peex , last access: last access: 8 December 2022) Modelling Platform research and development of online coupled integ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f2776dc7f9d0a3400e2d1f3266a6839
https://acp.copernicus.org/articles/22/15777/2022/
https://acp.copernicus.org/articles/22/15777/2022/
Publikováno v:
Meteorological Applications. 29
Autor:
Mykhailo Savenets
Publikováno v:
Időjárás. 125:271-290
The study presents analysis of current air pollution state over Ukraine including remote regions and uncontrolled Ukrainian territories; features of NO2, SO2, and CO spatial distribution and seasonality under the influence of local anthropogenic emis
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
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 compos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39fa08a1bd470f2ba413c00a29c17d21
https://doi.org/10.5194/egusphere-egu22-10551
https://doi.org/10.5194/egusphere-egu22-10551
The study presents the analysis of regional atmospheric condition changes in Ukraine caused by direct and indirect aerosol effects performed by a series of simulations using the Environment – High Resolution Limited Area Model (Enviro-HIRLAM). The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc22c5246547804327ffcabf69d28e24
https://doi.org/10.5194/egusphere-egu22-4792
https://doi.org/10.5194/egusphere-egu22-4792
Biomass burning is one of the biggest sources of black carbon concentrations which negatively impacts human health and contribute to climate forcing. In this work we explore horizontal and vertical variability of black carbon concentrations over Ukra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69dbc646fc642bcd76d19556b47f4e8b
https://acp.copernicus.org/preprints/acp-2022-103/
https://acp.copernicus.org/preprints/acp-2022-103/