Projects

Weather and climate extremes are associated with large impacts on society and environment, and frequency of some of these extremes has increased and/or is projected to increase in a future climate. It is important to better understand physical mechanisms leading to extremes, their mutual links, and how they are reproduced in climate models. The project deals with temperature and precipitation extremes in Europe, with focus on warm season. The main aims are to (i) examine the role of atmospheric circulation and land-atmosphere coupling in initiating development of temperature extremes and supporting their persistence in observed climate and ERA-5 reanalysis, including the study of links to extremes of precipition and other variables, (ii) analyze spatial patterns of differences between individual driving mechanisms (advective, radiative, and land-surface factors) in key regions of Europe, and (iii) evaluate ability of current high-resolution climate models to reproduce the driving mechanisms of extremes and their spatial patterns. This represents an important step towards better understanding credibility of climate model outputs, and for further model improvements.
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High-impact winter weather significantly affects both nature and society. Its severity may not decrease despite the growing global temperature, due to changes in atmospheric circulation in a future climate. The proposed project aims to expand knowledge of high-impact winter weather and, specifically, to evaluate threats associated with winter extremes that should be included in the preparation of adaptation strategies. The project aims (i) to analyse temporal and spatial variability of observed high-impact weather events over central Europe and their links to atmospheric circulation and other variables, (ii) to evaluate the ability of current EURO-CORDEX regional climate models to simulate high-impact weather events and their links to circulation, and (iii) to assess changes of those events in possible future climates in two sets of model projections (forced by RCP 4.5 and RCP 8.5 concentration pathways) for two periods (2021–2050, 2071–2100). Added value of studying compound extreme events (e.g. the combination of low temperature and high wind velocity) will be assessed.
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Links between weather and human health have been a subject of increased attention recently, but in spite of growing knowledge, many issues remain open. The main aims of the project are to (i) improve methodological aspects of modelling weather-related morbidity and mortality in the population of the Czech Republic using advanced statistical tools; (ii) identify susceptible population groups and examine modifying effects of characteristics such as age, health disorders, and education; (iii) identify differences in the susceptible population groups between urban and rural regions and in relation to socioeconomic status; and (iv) examine changes in weather-related morbidity and mortality over recent decades and their links to changes in the population structure, its socioeconomic status, diseases prevalence, and environmental factors. The project makes use of nationwide cause-specific mortality and morbidity data sets, and its results will allow for better understanding of the weather-to-human health links, which is necessary for preventing excess deaths.
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The main aim is development and testing of new features of the parametric spatial weather generator, so that it can be used to produce more realistic gridded weather series representing present and future climate conditions on various spatial and temporal scales. In completing the project aims (A) The surface weather generator will be linked with generator of modes of circulation variability, which will allow to account for the advection of spatial surface weather patterns and effect of the larger scale circulation on weather. (B) The nesting scheme will be developed to condition the high-resolution generator run on the smaller area with shorter time step on the lower-resolution generator. (C) The generator parameters will be modified with climate change scenarios, which will be derived from the Regional Climate Model simulations and account also for changes in temporal circulation variability and spatial weather variability. The generator will be validated using multiple climatological indices and its performance compared with other available gridded surface weather series.
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