Grzegorz Karasiński

Dr. Grzegorz Karasiński

orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 January 2017 in Water
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Journal Article
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KKKatarzyna Kozak
Katarzyna Kozak
Marek RumanMarek Ruman
Marek Ruman
KKKlaudia Kosek
Klaudia Kosek
GKGrzegorz Karasiński
Grzegorz Karasiński
LSLukasz Stachnik
Lukasz Stachnik
Żaneta PolkowskaŻaneta Polkowska
Żaneta Polkowska
The paper presents changes in concentration levels of dioxin-like compounds that can be observed over the course of four study seasons in water samples collected from the Arctic watershed of Svalbard. The conducted analysis involved anthropogenic and natural factors that may affect the concentration of PAHs in the study samples of water. An attempt is made to indicate the emission source of the compounds being deposited and to identify the extent to which the substances under analysis actually affect the Arctic ecosystems. Moreover, the work employs the following: diagnostic ratios PAHs, air masses backward trajectory analysis, Lidar observations and land relief analysis in order to provide a multi-level interpretation of the obtained data. Natural environment constitutes a complex system of subtle correlations that need to be perceived as a dynamic medium, in which multi-faceted processes take place.

9 December 2013 in Acta Geophysica
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Journal Article
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GKGrzegorz Karasiński
Grzegorz Karasiński
Michał PosyniakMichał Posyniak
Michał Posyniak
MBMagdalena Bloch
Magdalena Bloch
PSPiotr Sobolewski
Piotr Sobolewski
ŁMŁukasz Małarzewski
Łukasz Małarzewski
JSJakub Soroka
Jakub Soroka

1 May 2002 in Chemical Physics Letters
Verified
Journal Article
Closed access
ACA. Czyżewski
A. Czyżewski
KEK. Ernst
K. Ernst
GFG. Franssen
G. Franssen
GKGrzegorz Karasiński
Grzegorz Karasiński
MKM. Kmieciak
M. Kmieciak
TSTadeusz Stacewicz
Tadeusz Stacewicz

23 February 2021 in Applied Sciences
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Journal Article
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Kyung Man HanKyung Man Han
Kyung Man Han
Chang Hoon JungChang Hoon Jung
Chang Hoon Jung
RPRaeseol Park
Raeseol Park
SPSoon-Young Park
Soon-Young Park
SLSojin Lee
Sojin Lee
HKHyun S. Kim
Hyun S. Kim
In this study, more accurate information on the levels of aerosol optical depth (AOD) was calculated from the assimilation of the modeled AOD based on the optimal interpolation method. Additionally, more realistic levels of surface particulate matters over the Arctic were estimated using the assimilated AOD based on the linear relationship between the particulate matters and AODs. In comparison to the MODIS observation, the assimilated AOD was much improved compared with the modeled AOD (e.g., increase in correlation coefficients from −0.15–0.26 to 0.17–0.76 over the Arctic). The newly inferred monthly averages of PM10 and PM2.5 for April–September 2008 were 2.18–3.70 μg m−3 and 0.85–1.68 μg m−3 over the Arctic, respectively. These corresponded to an increase of 140–180%, compared with the modeled PMs. In comparison to in-situ observation, the inferred PMs showed better performances than those from the simulations, particularly at Hyytiala station. Therefore, combining the model simulation and data assimilation provided more accurate concentrations of AOD, PM10, and PM2.5 than those only calculated from the model simulations.

12 November 2024
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Dataset
Open access
GKGrzegorz Karasiński
Grzegorz Karasiński
MKMarek Kubicki
Marek Kubicki
This dataset presents aerosol number concentrations measured with a condensation particle counter, TSI model 3007 (0.01-1um), during Horyzont II cruise from Hornsund to Gdynia in September 2023....