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Joni-Pekka Pietikäinen

Researcher at Finnish Meteorological Institute

Publications -  23
Citations -  568

Joni-Pekka Pietikäinen is an academic researcher from Finnish Meteorological Institute. The author has contributed to research in topics: Climate model & Aerosol. The author has an hindex of 13, co-authored 21 publications receiving 351 citations. Previous affiliations of Joni-Pekka Pietikäinen include Max Planck Society & University of Eastern Finland.

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Regional climate downscaling over Europe: perspectives from the EURO-CORDEX community

Daniela Jacob, +69 more
TL;DR: The European CORDEX (EURO-CORDEX) initiative as discussed by the authors is a large voluntary effort that seeks to advance regional climate and Earth system science in Europe, which includes the design and coordination of ongoing ensembles of regional climate projections of unprecedented size and resolution.
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Climate and air quality trade-offs in altering ship fuel sulfur content

TL;DR: In this paper, the authors used an aerosol-climate model ECHAM-HAMMOZ to test whether by altering ship fuel sulfur content, the present-day aerosolinduced cooling effect from shipping could be preserved, while at the same time reducing premature mortality rates related to shipping emissions.
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Black carbon concentration and deposition estimations in Finland by the regional aerosol–climate model REMO-HAM

TL;DR: In this article, the prediction skill of the regional aerosol-climate model REMO-HAM was assessed against the black carbon (BC) concentration measurements from five locations in Finland, with focus on Hyytiala station for the year 2005.
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The regional climate model REMO (v2015) coupled with the 1-D freshwater lake model FLake (v1): Fenno-Scandinavian climate and lakes

TL;DR: In this article, the regional climate model REMO was coupled with the FLake lake model to include an interactive treatment of lakes, and the results show that the new model version improves the representation of the Fenno-Scandinavian climate in terms of 2'm temperature and precipitation, but the downside is that an existing wintertime cold bias in the model is enhanced.