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Eija Asmi
Researcher at Finnish Meteorological Institute
Publications - 113
Citations - 4201
Eija Asmi is an academic researcher from Finnish Meteorological Institute. The author has contributed to research in topics: Aerosol & Environmental science. The author has an hindex of 31, co-authored 88 publications receiving 3341 citations. Previous affiliations of Eija Asmi include Blaise Pascal University.
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Journal ArticleDOI
Deposition of light-absorbing particles in glacier snow of the Sunderdhunga Valley, the southern forefront of the central Himalayas
Jonas Svensson,Jonas Svensson,Johan Ström,Henri Honkanen,Eija Asmi,Nathaniel B. Dkhar,Shresth Tayal,V. P. Sharma,Rakesh K. Hooda,Matti Leppäranta,Hans-Werner Jacobi,Heikki Lihavainen,Antti Hyvärinen +12 more
TL;DR: In this paper, the authors studied the deposition of LAPs in five snow pits sampled in 2016 and 2015 within 1 km from each other from two glaciers in the Sunderdhunga valley, in the state of Uttarakhand, India, and found that the enriched LAP layer is likely a result of strong melting that took place during the summers of 2015 and 2016.
Journal ArticleDOI
Changes in aerosol size distributions over the Indian Ocean during different meteorological conditions
Jutta Kesti,Eija Asmi,Ewan O'Connor,John Backman,Krishnakant Budhavant,August Andersson,Sanjeev Dasari,P. S. Praveen,H. Zahid,Örjan Gustafsson +9 more
TL;DR: Aerosol emissions in South Asia are large and the emitted aerosols can travel significant distances and, during the Asian southwest monsoon especially, are prone to modification through cloud process as mentioned in this paper.
Journal ArticleDOI
Overview: Recent advances in the understanding of the northern Eurasian environments and of the urban air quality in China – a Pan-Eurasian Experiment (PEEX) programme perspective
Hanna Lappalainen,Tuukka Petäjä,Timo Vihma,Jouni Räisänen,Alexander Baklanov,Sergey Chalov,Igor Esau,Ekaterina Ezhova,Matti Leppäranta,Dmitry Pozdnyakov,Jukka Pumpanen,Meinrat O. Andreae,Mikhail Arshinov,Eija Asmi,Jianhui Bai,Igor Bashmachnikov,Boris D. Belan,Boris K. Biskaborn,Michael Boy,Jaana Bäck,Bin Cheng,N. Chubarova,Jonathan Duplissy,Egor Dyukarev,Konstantinos Eleftheriadis,Martin Forsius,Martin Heimann,Sirkku Juhola,Vladimir Konovalov,Igor B. Konovalov,Pavel Konstantinov,Kajar Köster,Elena D. Lapshina,Anna Lintunen,Alexander Mahura,Risto Makkonen,Svetlana M. Malkhazova,Ivan Mammarella,Stefano Mammola,Stephany Buenrostro Mazon,Outi Meinander,Eugene Mikhailov,Victoria Miles,Stanislav Myslenkov,Dmitry Orlov,Jean-Daniel Paris,Roberta Pirazzini,Olga Popovicheva,Jouni Pulliainen,Kimmo Rautiainen,Torsten Sachs,Vladimir P Shevchenko,Andrey Skorokhod,Andreas Stohl,Elli Suhonen,Erik S. Thomson,M. N. Tsidilina,Veli-Pekka Tynkkynen,Petteri Uotila,Aki Virkkula,N. N. Voropay,Tobias Wolf,Sayaka Yasunaka,Jiahua Zhang,Yubao Qiu,Aijun Ding,Huadong Guo,Valery Bondur,Nikolay Kasimov,Sergej Zilitinkevich,Veli-Matti Kerminen,Markku Kulmala +71 more
TL;DR: The Pan-Eurasian Experiment (PEEX) Science Plan, released in 2015, addressed the need for a holistic system understanding and outlined the most urgent research needs for the rapidly changing Arctic-boreal region as mentioned in this paper .
Posted ContentDOI
Aerosol particle characteristics measured in the United Arab Emirates and their response to mixing in the boundary layer
Jutta Kesti,John Backman,Ewan O'Connor,Anne Hirsikko,Eija Asmi,Minna Aurela,Ulla Makkonen,Maria Filioglou,Mika Komppula,Hannele Korhonen,Heikki Lihavainen +10 more
TL;DR: In this paper, a one-year measurement campaign at a background location in the United Arab Emirates (UAE) to investigate the properties of aerosol particles in this region, study the impact of boundary layer mixing on background aerosol particle properties measured at the surface and study the temporal evolution of cloud formation potential in the region.
Journal ArticleDOI
Estimation of aerosol particle number distributions with Kalman Filtering – Part 1: Theory, general aspects and statistical validity
T. Viskari,T. Viskari,Eija Asmi,Pekka Kolmonen,Henri Vuollekoski,Tuukka Petäjä,Heikki Järvinen +6 more
TL;DR: In this paper, Extended Kalman Filter (EKF) is introduced as a method to estimate aerosol particle number size distributions from multiple simultaneous observations and validated by calculating the bias and the standard deviation for the estimated size distributions with respect to the raw measurements.