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Validation of reanalysis for Central Europe PERUN/Reanalysis
Beranová, Romana ; Rulfová, Zuzana ; Sokol, Zbyněk
PERUN/Reanalysis is based on the ALADIN numerical forecast model, which has been adapted for climatological calculations. To serve as one of the reference sets for estimating expected climate changes in the coming decades, it needs to undergo validation against station measurements and possibly against other commonly used data sets. In this conference paper, we will examine the validation of basic meteorological quantities across the computational domain of the ALADIN model. To achieve this, we will use station data from the ECA&D database, station data in the regular network (Eobs), and the ERA5 global reanalysis. Validation will be conducted for the period from 1990 to 2014. During validation, our primary focus will be on air temperature (minimum, maximum, and mean) and precipitation. We will also examine additional variables, including wind speed.\n
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Sea surface temperature variability in the North Atlantic and its effect on temperature and precipitation in Europe
Kodetová, Tereza ; Pokorná, Lucie (advisor) ; Beranová, Romana (referee)
The sea surface temperature (SST) of the North Atlantic (NA) has a demonstrable impact on Europe's climate. The main purpose of this final thesis is to investigate the long-term evolution of SST in SA and to describe the influence of SST change in NA on temperatures and precipitation in Europe. For this purpose, the freely available HadISST database from the Met Office Hadley Centre Observations datasets was chosen. The study period 1980-2019 was chosen so that the data would not be affected by switching to a different measurement type or processing method, and also by the inclusion of satellite measurements. This means that the data was acquired after the start of satellite measurements, which provides a much higher quality and more comprehensive coverage of the area. The next step was to calculate the average monthly and annual SSTs in the NA area of interest. Monthly mean SSTs ranged from 2,3 řC in the coldest month of March to the highest measured mean SST of 18,5 řC in August. The average annual SST of the area of interest was 10,5 řC over the 40 years analysed. Next, monthly and annual trends were detected from 1980-2019. The trends range from -0,7 řC to 1,5 řC, but it was confirmed that the area of interest is warming in all months over the 40 year period. The final objective was to...
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The application of atmospheric circulation classifications in the interpretation of climate model outputs
Stryhal, Jan ; Huth, Radan (advisor) ; Halenka, Tomáš (referee) ; Beranová, Romana (referee)
The application of atmospheric circulation classifications in the interpretation of climate model outputs Mgr. Jan Stryhal Automated (computer-assisted) classifications of atmospheric circulation patterns (circulation classifications, for short) constitute a tool widely used in synoptic and dynamic climatology to study atmospheric circulation and its link to various atmospheric, environmental, and societal phenomena. The application of circulation classifications to output of dynamical models of the atmosphere has developed considerably since the pioneering studies about three decades ago, reflecting rapid development in statistics, computing technology, and-naturally-climatological research, increasingly more and more dependent on simulations of the atmosphere, facing the paradigm of anthropogenic climate change. An uncoordinated use of various statistical approaches to analyzing output of global climate models (GCM) or their various ensembles, and an arbitrary selection of circulation variables, spatial and temporal domains, and reference datasets, have contributed to a need for a comparative study, which would shed some light on the sensitivity of studies dealing with an intercomparison of circulation classifications in two datasets to subjective choices. The present thesis responds to this need...
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The application of atmospheric circulation classifications in the interpretation of climate model outputs
Stryhal, Jan ; Huth, Radan (advisor) ; Halenka, Tomáš (referee) ; Beranová, Romana (referee)
The application of atmospheric circulation classifications in the interpretation of climate model outputs Mgr. Jan Stryhal Automated (computer-assisted) classifications of atmospheric circulation patterns (circulation classifications, for short) constitute a tool widely used in synoptic and dynamic climatology to study atmospheric circulation and its link to various atmospheric, environmental, and societal phenomena. The application of circulation classifications to output of dynamical models of the atmosphere has developed considerably since the pioneering studies about three decades ago, reflecting rapid development in statistics, computing technology, and-naturally-climatological research, increasingly more and more dependent on simulations of the atmosphere, facing the paradigm of anthropogenic climate change. An uncoordinated use of various statistical approaches to analyzing output of global climate models (GCM) or their various ensembles, and an arbitrary selection of circulation variables, spatial and temporal domains, and reference datasets, have contributed to a need for a comparative study, which would shed some light on the sensitivity of studies dealing with an intercomparison of circulation classifications in two datasets to subjective choices. The present thesis responds to this need...
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Long term variability of the relationshops between atmospheric circulation and surface climate elemets
Beranová, Romana ; Huth, Radan (advisor) ; Halenka, Tomáš (referee) ; Metelka, Ladislav (referee)
The stability of the relationships between atmospheric circulation and the surface climatic variables is an important precondition to construct scenarios of climate change by statistical methods. The aim of the work is therefore to examine if and how the relationships between atmospheric circulation (characterized by geopotenial heights of 500 hPa level) and surface climatic elements (mainly temperature and precipitation) are changing in European region and in the Czech Republic. The relationship between the NAO index and both temperature and precipitation were analysed for long period (1901-99) at 29 resp. 27 European stations. The NAO index strong influences climate in Europe. However, the relationships were changing in time. The course of 31-years running correlation differs between different European regions and different seasons. The circulation modes were identified in geopotential heights of 500 hPa level by rotated principal component analysis for period 1958-98. The climate in Europe is influenced by NAO, EA, EU1, EU2 and NA mode. The variability of the relationships was represented by 15-year running correlations at more than 100 European stations. The regions with similar courses of running correlations were identified by cluster analysis (PAM method). Despite the considerable variability of the...
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