Impacts of aerosols on regional meteorology due to Siberian forest fires in May 2003
- Authors
- Youn, Daeok; Park, Rokjin J.; Jeong, Jaein I.; Moon, Byung-Kwon; Yeh, Sang-Wook; Kim, Young Ho; Woo, Jung-Hun; Im, Eul Gyu; Jeong, Jee-Hoon; Lee, Suk-Jo; Song, Chang-Keun
- Issue Date
- Mar-2011
- Publisher
- Elsevier BV
- Keywords
- Forest fire aerosols; Regional meteorology; Climate model; Chemistry-transport model
- Citation
- Atmospheric Environment, v.45, no.7, pp 1407 - 1412
- Pages
- 6
- Indexed
- SCI
SCIE
SCOPUS
- Journal Title
- Atmospheric Environment
- Volume
- 45
- Number
- 7
- Start Page
- 1407
- End Page
- 1412
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/38223
- DOI
- 10.1016/j.atmosenv.2010.12.028
- ISSN
- 1352-2310
1873-2844
- Abstract
- We examine the impacts of aerosols on regional meteorology due to intense Siberian forest fires occurred in May 2003 using both reanalysis data and global model simulations. Our analysis of the NCEP-DOE reanalysis data shows 99% statistical significant changes in meteorological variables over East Asia in May 2003 relative to the 30 years climatology. In particular a significant surface cooling was observed up to -3.5 K over Siberia and extended to the North Pacific region with the surface pressure increases up to 5.6 hPa. Whereas, smoke aerosols affected the large-scale circulations and resulted in the increases in rainfall rates of 2.9 mm day(-1) averaged over the NW Pacific (10-35 degrees N, 130-170 degrees E). We use the climate model simulations with and without biomass burning emissions over Siberia to examine the effects of smoke aerosols on the regional meteorology. The simulated results show consistent changes in meteorological variables including surface temperature, surface pressure and precipitation rates with the observations over East Asia and the NW Pacific, which support that the observed changes are likely due to smoke aerosols from the Siberian forest fires. The implication is that smoke aerosols from the forest fires should be properly considered to correctly simulate both regional climate and synoptic scale weather patterns. (C) 2010 Elsevier Ltd. All rights reserved.
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