Combining the VAS 3D interpolation method and Wind Atlas methodology to produce a high-resolution wind resource map for the Czech Republic

2015 ◽  
Vol 77 ◽  
pp. 291-299 ◽  
Author(s):  
David Hanslian ◽  
Jiří Hošek
Keyword(s):  
Czech Republic ◽  
High Resolution ◽  
Interpolation Method ◽  
The Czech Republic ◽  
Wind Resource ◽  
3D Interpolation

scholarly journals Evaluation of discrepancies in spatial distribution of rainfall erosivity in the Czech Republic caused by different approaches using GIS and geostatistical tools

2017 ◽  
Vol 12 (No. 2) ◽  
pp. 117-127 ◽  
Author(s):  
J. Brychta ◽  
M. Janeček
Keyword(s):  
Spatial Distribution ◽  
Czech Republic ◽  
Temporal Resolution ◽  
Agricultural Land ◽  
Interpolation Method ◽  
Rainfall Data ◽  
Rainfall Erosivity ◽  
Yearly Variation ◽  
The Czech Republic ◽  
R Factor

The study presents all approaches of rainfall erosivity factor (R) computation and estimation used in the Czech Republic (CR). A lot of distortions stem from the difference in erosive rainfall criteria, time period, tipping rain gauges errors, low temporal resolution of rainfall data, the type of interpolation method, and inappropriate covariates. Differences in resulting R values and their spatial distribution caused by the described approaches were analyzed using the geostatistical method of Empirical Bayesian Kriging and the tools of the geographic information system (GIS). Similarity with the highest temporal resolution approach using 1-min rainfall data was analyzed. Different types of covariates were tested for incorporation to the cokriging method. Only longitude exhibits high correlation with R and can be recommended for the CR conditions. By incorporating covariates such as elevation, with no or weak correlation with R, the results can be distorted even by 81%. Because of significant yearly variation of R factor values and not clearly confirmed methodology of R values calculation and their estimation at unmeasured places we recommend the R factor for agricultural land in the Czech Republic R = 40 MJ/ha·cm/h +/– 10% depends on geographic location.

scholarly journals Fine-scale movement patterns and habitat selection of little owls (Athene noctua) from two declining populations

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0256608
Author(s):  
Martin Mayer ◽  
Martin Šálek ◽  
Anthony David Fox ◽  
Frej Juhl Lindhøj ◽  
Lars Bo Jacobsen ◽  
...  
Keyword(s):  
Czech Republic ◽  
High Resolution ◽  
Habitat Selection ◽  
Bird Species ◽  
Space Use ◽  
Gps Data ◽  
The Czech Republic ◽  
Movement Trajectories ◽  
Athene Noctua ◽  
Little Owl

Advances in bio-logging technology for wildlife monitoring have expanded our ability to study space use and behavior of many animal species at increasingly detailed scales. However, such data can be challenging to analyze due to autocorrelation of GPS positions. As a case study, we investigated spatiotemporal movements and habitat selection in the little owl (Athene noctua), a bird species that is declining in central Europe and verges on extinction in Denmark. We equipped 6 Danish food-supplemented little owls and 6 non-supplemented owls in the Czech Republic with high-resolution GPS loggers that recorded one position per minute. Nightly space use, measured as 95% kernel density estimates, of Danish male owls were on average 62 ha (± 64 SD, larger than any found in previous studies) compared to 2 ha (± 1) in females, and to 3 ± 1 ha (males) versus 3 ± 5 ha (females) in the Czech Republic. Foraging Danish male owls moved on average 4-fold further from their nest and at almost double the distance per hour than Czech males. To create availability data for the habitat selection analysis, we accounted for high spatiotemporal autocorrelation of the GPS data by simulating correlated random walks with the same autocorrelation structure as the actual little owl movement trajectories. We found that habitat selection was similar between Danish and Czech owls, with individuals selecting for short vegetation and areas with high structural diversity. Our limited sample size did not allow us to infer patterns on a population level, but nevertheless demonstrates how high-resolution GPS data can help to identify critical habitat requirements to better formulate conservation actions on a local scale.

scholarly journals Little known Homerian (lower Silurian) graptolites from kosov quarry near Beroun, the Czech republic

2019 ◽  
Vol 75 (1) ◽  
pp. 44-58
Author(s):  
Petr Štorch ◽  
Štěpán Manda
Keyword(s):  
Czech Republic ◽  
High Resolution ◽  
The Czech Republic ◽  
Lower Silurian ◽  
Stratigraphic Range

Abstract The Homerian graptolite fauna of the upper Cyrtograptus lundgreni and lower Colonograptus ludensis-Colonograptus gerhardi biozones, recovered from densely sampled sections in Kosov quarry includes several poorly known species, which appear to be useful in high resolution correlation. Gothograptus kozlowskii, Gothograptus aff. domeyki, Semigothograptus meganassa, Pristiograptus auctus, Monograptus ambiguus, Monograptus subflexilis and Cyrtograptus hemmanni are described and discussed in detail with reference to their stratigraphic range and palaeogeographic distribution which indicates close links between the Homerian graptolite faunas of Baltica, Avalonia and peri-Gondwanan Europe.

scholarly journals Antidiabetic compounds in stem juice from babana grown in natural and greenhouse

2017 ◽  
Vol 35 (No. 5) ◽  
pp. 407-413 ◽  
Author(s):  
Nguyen Dong ◽  
Nováková Alena ◽  
Spurná Klára ◽  
Hričko Jiří ◽  
Phung Huong ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Liquid Chromatography ◽  
Czech Republic ◽  
High Resolution ◽  
High Resolution Mass Spectrometry ◽  
Natural Habitat ◽  
The Czech Republic ◽  
Musa Paradisiaca ◽  
Ultrahigh Performance Liquid Chromatography ◽  
Resolution Mass

The stem juices from Musa × paradisiaca L. banana plants cultivated in their original natural habitat in Vietnam and those cultivated in a greenhouse in the Czech Republic were investigated for the presence of phytochemicals with antidiabetic potency. Respective bioactivities of these phytochemicals were also determined. Sample screening using ultrahigh performance liquid chromatography coupled with tandem high-resolution mass spectrometry (UHPL-HRMS/MS) method showed some differences in the pattern of bioactive compounds, both in terms of their number and concentration. p-Hydroxybenzoic and gallic acids were the predominant analytes found in stem juice from plants grown<br />in Vietnam, while ferulic acid was the major compound found in juice obtained from greenhouse bananas. Despite differences in the occurrence of potentially antidiabetic compounds, both extracts exhibited comparable inhibitory activity against α-glucosidase and α-amylase.

scholarly journals Comparing ALADIN-CZ and ALADIN-LAEF Precipitation Forecasts for Hydrological Modelling in the Czech Republic

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Martin Vokoun ◽  
Martin Hanel
Keyword(s):  
Czech Republic ◽  
High Resolution ◽  
Deterministic Model ◽  
Hydrological Modelling ◽  
Added Value ◽  
Limited Area ◽  
Ensemble Model ◽  
Rainfall Events ◽  
The Czech Republic ◽  
Weather Situation

Precipitation forecasting has great significance for hydrological modelling, particularly for issuing flood alerts. This study assesses the high-resolution deterministic model ALADIN-CZ (Aire Limitée, Adaptation Dynamique, Development International–Czech Republic) and the ensemble model ALADIN-LAEF (Limited Area Ensemble Forecasting). Verified precipitation data were modified to the form in which they enter the hydrological model used for flood forecasting in the Czech Republic. ALADIN-LAEF, unlike ALADIN-CZ, is currently not considered to be of any value for hydrological predictions in the Czech Republic. In the present paper, we assess the added value of the ensemble model. The most significant rainfall events from the summer seasons during 2011–2015 were selected for the purpose of this study. The results show that ALADIN-LAEF does not have a lower success rate than ALADIN-CZ in predicting significant rainfall events. In fact, for the most verification scores and metrics, ALADIN-LAEF was assessed as more skilful. Surprisingly, the high-resolution ALADIN-CZ does not yield higher success rates than ALADIN-LAEF even at short prediction lead times. This is due to spatial aggregation into hydrological regions, with an area significantly larger than the resolution of the forecasting models. Furthermore, the relationship between synoptic weather types, hydrological regions, and predictability was considered. It was found that the worst prediction results are related to weather situation C (cyclone over central Europe), which dominantly affects Berounka and Lower Elbe catchments.

scholarly journals Observation Preprocessing System for RC LACE (OPLACE)

2019 ◽  
Vol 16 ◽  
pp. 223-228
Author(s):  
Alena Trojáková ◽  
Máté Mile ◽  
Martina Tudor
Keyword(s):  
Czech Republic ◽  
High Resolution ◽  
Regional Cooperation ◽  
Weather Prediction ◽  
Data Sources ◽  
Limited Area ◽  
The Czech Republic ◽  
Meteorological Observations ◽  
Common Observation ◽  
Aircraft Data

Abstract. Meteorological observations are indispensable for the initialization of numerical weather prediction (NWP) forecast. To enable the application of observations in NWP models a technical preprocessing is necessary. Within the framework of RC LACE (Regional Cooperation for Limited Area modelling in Central Europe) consortium, a common observation preprocessing system (OPLACE) has been built up to deliver meteorological observations in an appropriate format for data assimilation in the NWP system ALADIN (Air Limiteée Adaptation Dynamique Développment International) The purpose of this paper is to document the OPLACE data sources, preprocessing steps and means to make preprocessed observations available. Furthermore, it describes an exchange of dense national surface synoptic measurements and high-resolution aircraft data in real-time among RC LACE national meteorological services (NMS) of Austria, Croatia, the Czech Republic, Hungary, Romania, Slovakia, and Slovenia.

Social variation in size at birth and preterm delivery in the Czech Republic and Sweden, 1989-91

1998 ◽  
Vol 12 (1) ◽  
pp. 7-24 ◽  
Author(s):  
Koupilova ◽  
Vagero ◽  
Leon ◽  
Pikhart ◽  
Prikazsky ◽  
...  
Keyword(s):  
Czech Republic ◽  
Preterm Delivery ◽  
The Czech Republic ◽  
Social Variation ◽  
Size At Birth
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