Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "meteorological" wg kryterium: Temat

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-9 z 9
    Tytuł:
    MeteoGIS: GIS-based system for monitoring of severe meteorological phenomena
    Autorzy:
    Jurczyk, A.
    Ośródka, K.
    Szturc, J.
    Giszterowicz, M.
    Przeniczny, P.
    Tkocz, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/108449.pdf
    Data publikacji:
    2015
    Wydawca:
    Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
    Tematy:
    meteorological data
    weather radar
    GIS
    monitoring
    nowcasting
    Opis:
    The MeteoGIS system developed at the Institute of Meteorology and Water Management – National Research Institute in Poland is a GIS-based system for real-time monitoring of weather and the generation of meteorological warnings. Apart from its monitoring features, it can also provide more advanced analysis, including SQL (Structured Query Language) queries and statistical analyses. Input data are provided mainly by the INCA-PL 2 nowcasting model which employs forecasts from the high-resolution AROME numerical weather prediction model and measurement data from the Polish weather radar network POLRAD and surface meteorological stations. As well as this, data from the PERUN lighting detection system are used. Ingestion of such data allows for the mitigation of risk from potentially hazardous weather phenomena such as extreme temperatures, strong wind, thunderstorms, heavy rain and subsequent impending floods. The following meteorological parameters at ground level are visualised in the MeteoGIS: (i) precipitation (accumulation and type), (ii) temperature, (iii) wind (speed and direction), (iv) lightning (locations and type). End users of the system are workers from civil protection services who are interested in shortterm warnings against severe weather events, especially area-oriented ones (related to districts, catchments, etc.). The reliability of visualised data is a very important issue, and from the MeteoGIS user’s point of view the improvement in data quality is a continuous process.
    Źródło:
    Meteorology Hydrology and Water Management. Research and Operational Applications; 2015, 3, 2; 49-61
    2299-3835
    2353-5652
    Pojawia się w:
    Meteorology Hydrology and Water Management. Research and Operational Applications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Meteorological hazards - visualization system for national protection against extreme hazards for Poland
    Autorzy:
    Wypych, A.
    Ustrnul, Z.
    Henek, E.
    Powiązania:
    https://bibliotekanauki.pl/articles/108506.pdf
    Data publikacji:
    2014
    Wydawca:
    Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
    Tematy:
    meteorological hazard
    warning system
    climatic map
    Polska
    Opis:
    Meteorological hazard maps are one of the components of the IT System for Country Protection against extreme hazards (ISOK) created by a consortium of Polish institutions, including the Institute of Meteorology and Water Management – National Research Institute. These maps present meteorological phenomena such as: temperature extremes, heavy and flood-producing rainfall, strong winds, intensive snowfall, fogs, glaze, rime and thunderstorms with hail. These elements were chosen arbitrarily due to recorded or estimated losses. The main aim of the maps is to present visualization methods of hazard forecast with consideration of climatological (historical) background. To identify areas especially exposed to the above meteorological hazards, extensive climatological analyses were performed, based on long-term daily data (mainly the 1951-2010 period). The main component of the warning system is a set of prediction maps created automatically on the basis of scientific algorithms that provide the probability of the occurrence of particular phenomena, or the conditions favourable for them. The algorithms’ structure, based on information about physical processes in the atmosphere, as well as detailed climatological analysis, enables the reclassification of the forecast values – predicted by the ALADIN mesoscale atmospheric model – into four groups of any hazard at the gridded points. Finally, the information will be interpolated and will result in the production of maps of spatial distribution presenting the objective probability of a particular hazard, i.e. its actual risk. Results of historical analysis are to be presented for the public by a number of climatological maps, and accompanied by additional fact sheets to provide society with an actual view of the spatial distribution of the distinguished weather phenomena, and the interrelated risks.
    Źródło:
    Meteorology Hydrology and Water Management. Research and Operational Applications; 2014, 2, 1; 37-42
    2299-3835
    2353-5652
    Pojawia się w:
    Meteorology Hydrology and Water Management. Research and Operational Applications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    After COP24 Conference in Katowice - the role of the Institute of Meteorology and Water Management – National Research Institute in connection of hydrological and meteorological measurements and observations with climate change adaptation actions
    Autorzy:
    Barszczewska, Marta
    Skąpski, Ksawery
    Powiązania:
    https://bibliotekanauki.pl/articles/108552.pdf
    Data publikacji:
    2019
    Wydawca:
    Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
    Tematy:
    adaptation
    climate change
    national meteorological
    hydrological survey
    Opis:
    Monitoring of progress in the implementation of the Paris Agreement as well as the Katowice Climate Package is not possible without conducting observations and measurements of the status of individual elements of the atmosphere and hydrosphere using a uniform methodology. These measurements in Poland are carried out by the Institute of Meteorology and Water Management – National Research Institute, which this year is celebrating its 100th anniversary, playing a role of the national hydrological and meteorological survey. Measurement data collected, processed and made available by IMGW-PIB improve the ability to identify and assess potential threats early by using modern tools to detect extreme weather events, and thus allow public authorities and the public to provide up-to-date data on the state of the atmosphere and hydrosphere, forecasts and warnings in both everyday and threat situations. The data collected and processed by the Institute are the basis for determining the level of achievement of the objectives of the Paris Agreement, but also for monitoring, forecasting and planning necessary actions in the territory of Poland. These activities, in order to ensure consistency and correctness of interpretation as well as planning activities implementing the Paris Agreement by recipients and users of forecasting systems all over the world, are carried out in cooperation with hydrological and meteorological survey and services within the World Meteorological Organization.
    Źródło:
    Meteorology Hydrology and Water Management. Research and Operational Applications; 2019, 7, 2; 85-86
    2299-3835
    2353-5652
    Pojawia się w:
    Meteorology Hydrology and Water Management. Research and Operational Applications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Meteorological and agricultural drought indices used in drought monitoring in Poland: a review
    Autorzy:
    Łabędzki, L.
    Bąk, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/108536.pdf
    Data publikacji:
    2014
    Wydawca:
    Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
    Tematy:
    drought indices
    meteorological drought
    agricultural drought
    monitoring
    operational system
    Opis:
    In the article, a brief review is presented of the definition of meteorological and agricultural droughts, drought indices and the operational systems of monitoring droughts in Poland. Drought is a widespread and frequent disaster which occurs more often within humid climate zones. Meteorological drought is the result of deficiencies in precipitation. Agricultural drought is an effect of various characteristics of meteorological and hydrological drought in agriculture comprising the reduction of evapotranspiration, soil water deficits, and reduced crop yield. Drought indicators are the common measures for drought assessment. The paper contains an inventory of drought measures (indicators) that are applied to evaluate meteorological and agricultural drought in Poland. For meteorological drought monitoring and the assessment of its intensity, four different indices have been used in Poland: relative precipitation index (RPI), effective drought index (EDI), standardised precipitation index (SPI) and climatic water balance (CWB). Agricultural drought is monitored by soil moisture index (SMI), agricultural drought index (CDI) and the potential reduction of final yield (yield reduction ratio YR). The working drought monitoring systems give information for the whole country or for a specific region but they are directed to some specific drought analyses. Four different drought monitoring systems have been under operation in Poland since 2005. The Institute of Meteorology and Water Management (IMGW) conducts the system called “POSUCH@”. The Institute of Soil Science and Plant Cultivation conducts the agricultural drought monitoring system. The Institute of Technology and Life Sciences (ITP) has developed two systems: the regional drought monitoring system in the Kujawy region and the nationwide system of monitoring and forecasting water deficit and surplus in agriculture.
    Źródło:
    Meteorology Hydrology and Water Management. Research and Operational Applications; 2014, 2, 2; 3-13
    2299-3835
    2353-5652
    Pojawia się w:
    Meteorology Hydrology and Water Management. Research and Operational Applications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Influence of computational grid resolution on the quality of forecasts of dangerous convection phenomena: a case study of August 11, 2017
    Autorzy:
    Mazur, Andrzej
    Duniec, Grzegorz
    Powiązania:
    https://bibliotekanauki.pl/articles/2166587.pdf
    Data publikacji:
    2022
    Wydawca:
    Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
    Tematy:
    meteorological model
    supercell
    high-resolution approach
    convection-permitting scale
    Opis:
    On August 11, 2017, a violent convection phenomenon took place in northwestern Poland, i.e., a storm combined with intense rainfall and hurricane winds. This paper presents an attempt to analyze this case by using the results of a numerical weather model, at grid spacings of 7 km, 2.8 km, and 0.7 km. Various convective indicators were analyzed to assess the nature of the event. The key question the authors try to answer is: „To what extent, if any, did a tenfold increase in resolution improve the quality of the numerical forecasts?” This question, however, has not been conclusively resolved. The most likely cause of this event was a supercell rapidly moving from south to northeast. This supercell's path has been mapped (qualitatively at least) by the Supercell Detection Index at all resolutions used. As the resolution increased, the forecasted maximum gusts also increased from 25 m/s in the domain with a resolution of 7 km to 35 m/s at a resolution of 2.8 km and up to about 50 m/s at the highest resolution of 0.7 km. A key conclusion is that the results of the model at a resolution of 2.8 km are much closer to reality than at 7 km. This effect did not pertain to differences between the 2.8 km and 0.7 km models. The latter increase in resolution did not significantly improve the quality of the forecast.
    Źródło:
    Meteorology Hydrology and Water Management. Research and Operational Applications; 2022, 10, 2; 1--18
    2299-3835
    2353-5652
    Pojawia się w:
    Meteorology Hydrology and Water Management. Research and Operational Applications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Estimates of current and future climate change in Belarus based on meteorological station data and the EURO-CORDEX-11 dataset
    Autorzy:
    Danilovich, Irina
    Geyer, Beate
    Powiązania:
    https://bibliotekanauki.pl/articles/2014153.pdf
    Data publikacji:
    2021
    Wydawca:
    Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
    Tematy:
    climate change
    meteorological observations
    projections
    scenario
    air temperature
    precipitation
    snow
    wind
    Opis:
    This study provides an assessment of the current and future changes (in terms of both direction and value) in air temperature, precipitation, snow, wind and their extremes over the territory of Belarus using information from 42 meteorological stations and 92 regional circulation model (RCM) simulations with the highest available horizontal resolution (EUR-11). Three representative concentration pathway scenarios, namely, RCP2.6, RCP4.5 and RCP8.5, are considered. Results demonstrate that in recent decades, temperature has increased over the territory of Belarus by 1.3°C, with the largest increase occurring during the cold season (2.1-2.3°C). Ensemble scenarios project further increases in air temperature in the current century by +0.5-1.5°C, +2.8°C, and +5.2°C under the RCP2.6, RCP4.5 and RCP8.5 scenarios, with the largest increase during the cold season under the RCP8.5 scenario. The annual means were observed to increase (insignificantly) by 5-7% and the summer precipitation extremes exhibited a 20-25% growth in recent decades. Moreover, dry conditions have intensified in Belarus, particularly during the growing season. Further increases in precipitation of 10-15% across Belarus are projected to occur in all seasons under the RCP4.5 and RCP8.5 scenarios. Simulation models predict greater increases in single day rainfall events compared to their multiday precipitation counterparts. The greatest increases in maximal dry period length (by 1-2) are expected to occur in summer and autumn. The models project the general decrease in snowfall across Belarus to continue into the current century, with a reduction in snow precipitation days of 10-30 days. Despite the reduced wind strength (by 0.9-1.0 m·s -1 ) since the 1970s over the territory of Belarus, the ensemble model reveals slight nonsignificant changes in seasonal and annual wind strengths until the end of the century. Significant changes of 1-3 days under varying directions of the wind regime were observed for days with a strong breeze and storms.
    Źródło:
    Meteorology Hydrology and Water Management. Research and Operational Applications; 2021, 9, 1-2; 1-30
    2299-3835
    2353-5652
    Pojawia się w:
    Meteorology Hydrology and Water Management. Research and Operational Applications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Classification by multiple regression - a new approach towards the classification of extremes
    Autorzy:
    Enke, W.
    Spekat, A.
    Kreienkamp, F.
    Powiązania:
    https://bibliotekanauki.pl/articles/108605.pdf
    Data publikacji:
    2016
    Wydawca:
    Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
    Tematy:
    empirical-statistical downscaling
    regression analysis
    climate analysis
    climate projections
    meteorological extremes
    Opis:
    There are numerous algorithmic classification methods that attempt to address the connections between different scales of the atmosphere, such as EOFs, clustering, and neural nets. However, their relative strength lies in the description of the mean conditions, whereas extremes are poorly covered by them. A novel approach towards the identification of linkages between large-scale atmospheric fields and local extremes of meteorological parameters is presented in this paper. The principle is that a small number of objectively selected fields can be used to circumscribe a local meteorological parameter by way of regression. For each day, the regression coefficients form a kind of pattern which is used for a classification based on similarity. As it turns out, several classes are generated which contain days that constitute extreme atmospheric conditions and from which local meteorological parameters can be computed, yielding an indirect way of determining these local extremes just from large-scale information. The range of applications is large. (i) Not only local meteorological parameters can be subjected to such a regression based classification procedure. It can be extended to extreme indicators, such as threshold exceedances, yielding on the one hand the relevant atmospheric fields to describe those indicators, and on the other hand grouping days with “favourable atmospheric conditions”. This approach can be further extended by investigating networks of measurement stations from a region and describing, e.g., the probability for threshold exceedances at a given percentage of the network. (ii) The method can not only be used as a filtering tool to supply days in the current climate with extreme conditions, identified in an objective way. The method can be applied to climate model projections, using the previously found parameter-specific combinations of atmospheric fields. From those fields, as they constitute the modelled future climate, local time series can be generated which are then analysed with respect to the frequency and magnitude of future extremes. The method has sensitivities (i) due to the degree to which there are connections between large-scale fields and local meteorological parameters (measured, e.g., by the correlation) and (ii) due to the varying quality of the different fields (geopotential, temperature, humidity etc.) projected by the climate model.
    Źródło:
    Meteorology Hydrology and Water Management. Research and Operational Applications; 2016, 4, 1; 25-39
    2299-3835
    2353-5652
    Pojawia się w:
    Meteorology Hydrology and Water Management. Research and Operational Applications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Maximum daily rainfall analysis at selected meteorological stations in the upper Lusatian Neisse River basin
    Autorzy:
    Wdowikowski, M.
    Kaźmierczak, B.
    Ledvinka, O.
    Powiązania:
    https://bibliotekanauki.pl/articles/108530.pdf
    Data publikacji:
    2016
    Wydawca:
    Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
    Tematy:
    trend analysis
    Mann-Kendall test
    meteorological data
    maximum rainfall
    GED
    Lusatian Neisse
    IMWM-NRI
    probabilistic distribution
    Opis:
    The scope of this study was to assess the usefulness of top probability distributions to describe maximum rainfall data in the Lusatian Neisse River basin, based on eight IMWM-NRI meteorological stations. The research material was composed of 50-year precipitation series of daily totals from 1961 to 2010. Misssing measurement data were estimated using a weighted average method. Homogeneity for refilled data were investigated by precipitation double aggregation curve. Correlation between the measurement data varied from 96 to 99% and did not indicate a violation of the homogeneity of rainfall data series. Variability of recorded daily precipitation maxima were studied by linear regression and non-parametric Mann-Kendall tests. Long-term period changes at maximum rainfalls for four stations remained statistically insignificant, and for the other four were significant, although the structure of maximums was relatively similar. To describe the measured data, there were used the Fréchet, Gamma, Generalized Exponential Distribution (GED), Gumbel, Log-normal and Weibull distributions. Particular distribution parameters were estimated using the maximum likelihood method. The conformity of the analyzed theoretical distributions with measured data was inspected using the Schwarz Bayesian information criterion (BIC) and also by the relative residual mean square error (RRMSE). Among others, the Gamma, GED, and Weibull distributions fulfilled the compliance criterion for each meteorological station respectively. The BIC criterion indicated GED as the best; however differences were minor between GED on the one hand and the Gamma and Weibull distributions on the other. After conducting the RRMSE analysis it was found that, in comparison to the other distributions, GED best describes the measured maximum rainfall data.
    Źródło:
    Meteorology Hydrology and Water Management. Research and Operational Applications; 2016, 4, 1; 53-63
    2299-3835
    2353-5652
    Pojawia się w:
    Meteorology Hydrology and Water Management. Research and Operational Applications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Atmospheric self-cleaning coefficients as indicators of the atmospheric ability to dissipate pollutants in Ukraine
    Autorzy:
    Malytska, L.
    Balabukh, V.
    Powiązania:
    https://bibliotekanauki.pl/articles/108486.pdf
    Data publikacji:
    2018
    Wydawca:
    Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
    Tematy:
    jakość powietrza
    odprowadzanie
    zanieczyszczenie
    współczynnik samooczyszczania
    zintegrowany indeks meteorologiczny
    air quality
    pollutant dissipation ability
    self-cleaning coefficient
    integrated meteorological index
    Opis:
    Air quality is determined by the level of air pollution, which depends on the concentration of pollutants and meteorological conditions conducive to their transport, dispersion and washout from the atmosphere. If emission variety is poor, the pollution level depends only on meteorological conditions. This article considers the atmospheric ability to dissipate pollutants in Ukraine, and the various features of this ability in different regions, through the comparative analysis of modifications of the atmosphere’s self-cleaning index – the special mathematical formulas that formalize the influence of basic meteorological parameters on the content of impurities in the air. In Ukraine, in accordance with the atmosphere self-cleaning coefficient (K), meteorological conditions mostly lead to the dissipation of contaminants. But there are also allocated buffer zones, where meteorological conditions are favourable to a limited extent; it is very likely these areas will increase due to climate change. Based on analysis of the improved integrated meteorological index (UMPA), all territory of the country has steadily favourable conditions for the dissipation of pollutants, without limitedly favourable areas. The component analysis, however, showed that it is fully true only for the thermal component. Analysis of precipitation and wind coefficients has shown that the steppe zone has a sufficient, but unstable wetting, which ensures only partial opportunities for the atmosphere’s self-cleaning and only a small part of Ukraine has good airing conditions. Taking into account the fact that results are not consistent and that the UMPA was developed for physical and geographical conditions of the north of the Russian Federation, we propose priority actions for adapting it for Ukraine.
    Źródło:
    Meteorology Hydrology and Water Management. Research and Operational Applications; 2018, 6, 1; 59-65
    2299-3835
    2353-5652
    Pojawia się w:
    Meteorology Hydrology and Water Management. Research and Operational Applications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-9 z 9

      Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies