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Jan Kyselý

Researcher at Czech University of Life Sciences Prague

Publications -  122
Citations -  6863

Jan Kyselý is an academic researcher from Czech University of Life Sciences Prague. The author has contributed to research in topics: Climate model & Climate change. The author has an hindex of 40, co-authored 110 publications receiving 4781 citations. Previous affiliations of Jan Kyselý include Charles University in Prague & Technical University of Liberec.

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Ambient Particulate Air Pollution and Daily Mortality in 652 Cities

TL;DR: The data show independent associations between short-term exposure to PM10 and PM2.5 and daily all-cause, cardiovascular, and respiratory mortality in more than 600 cities across the globe, and reinforce the evidence of a link between mortality and PM concentration established in regional and local studies.
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Classifications of Atmospheric Circulation Patterns

TL;DR: It is mentioned a more extensive use in climate studies, both of past, present, and future climates, innovative applications in the ensemble forecasting, increasing variety of synoptic–climatological investigations, and steps above from the troposphere.
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Projections of temperature-related excess mortality under climate change scenarios

Antonio Gasparrini, +54 more
TL;DR: In this article, the authors show that climate change can directly affect human health by varying exposure to non-optimal outdoor temperature, however, evidence on this direct impact at a global scale is limited.
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The burden of heat-related mortality attributable to recent human-induced climate change

Ana M. Vicedo-Cabrera, +81 more
TL;DR: In this article, the authors use empirical data from 732 locations in 43 countries to estimate the mortality burdens associated with the additional heat exposure that has resulted from recent human-induced warming, during the period 1991-2018.
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Global, regional, and national burden of mortality associated with non-optimal ambient temperatures from 2000 to 2019: a three-stage modelling study

Qi Zhao, +80 more
TL;DR: In this paper, the global, regional, and national mortality burden associated with non-optimal ambient temperatures was evaluated using time-series data collected from 750 locations in 43 countries and five meta-predictors.