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Jari Holopainen

Researcher at University of Helsinki

Publications -  28
Citations -  789

Jari Holopainen is an academic researcher from University of Helsinki. The author has contributed to research in topics: Climate change & North Atlantic oscillation. The author has an hindex of 16, co-authored 28 publications receiving 714 citations. Previous affiliations of Jari Holopainen include Finnish Meteorological Institute & University of Eastern Finland.

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Summer temperature variations in Lapland during the Medieval Warm Period and the Little Ice Age relative to natural instability of thermohaline circulation on multi-decadal and multi-centennial scales†

TL;DR: In this paper, a tree ring-based analysis for climate variability at a regional scale is presented for high latitudes of Europe, and the absolute dated temperature reconstruction seeks to characterise the summer temperatures since AD 750.
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Little Ice Age Farming in Finland: Preindustrial Agriculture on the Edge of the Grim Reaper’s Scythe

TL;DR: This paper examined potential climatic influences on historical agrarian populations in Finland by means of historical weather diaries, rye phenology, and rye and barley grain-figure (ratio between sown and harvested grain) data from the sixteenth to the nineteenth centuries.
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Food availability at birth limited reproductive success in historical humans.

TL;DR: It is found that among both men and women born into landless families, marital prospects, probability of reproduction, and offspring viability were all positively related to local crop yield during the birth year, and maternal investment in offspring in prenatal or early postnatal life was generally absent.
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A collection of sub-daily pressure and temperature observations for the early instrumental period with a focus on the "year without a summer" 1816

TL;DR: The eruption of Mount Tambora (Indonesia) in April 1815 is the largest documented volcanic eruption in history and is associated with a large global cooling during the following year, felt particul...
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Persistence matters: Estimation of the statistical significance of paleoclimatic reconstruction statistics from autocorrelated time series

TL;DR: In this paper, the significance of calibration and verification statistics used in dendroclimatic reconstructions by combining Monte-Carlo iterations with frequency (Ebisuzaki) or time (Burg) domain time series modelling is estimated.