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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.
The processing of Global Positioning System (GPS) observations for high-precision network establishment requires models to reduce the influence of systematic errors. One of the crucial sources of these errors is tropospheric refraction, particularly its changes and influence on height determination in local precise GPS networks, especially those located in mountainous areas. The authors’ present results of GPS data processing of local precise geodynamic research network ŚNIEŻNIK2001 (Sudetes, SW Poland) using different input data (standard atmosphere, ground meteorological data) and different methods of tropospheric delay estimation. Bernese GPS Software v. 4.2 was used, as an analytical tool.
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.
Eastern Mediterranean water and heat balances were analysed over 52 years. The modelling uses a process-oriented approach resolving the one-dimensional equations of momentum, heat and salt conservation; turbulence is modelled using a twoequation model. The results indicate that calculated temperature and salinity follow the reanalysed data well. The water balance in the Eastern Mediterranean basin was controlled by the difference between inflows and outflows through the Sicily Channel and by net precipitation. The freshwater component displayed a negative trend over the study period, indicating increasing salinity in the basin. The heat balance was controlled by heat loss from the water surface, solar radiation into the sea and heat flow through the Sicily Channel. Both solar radiation and net heat loss displayed increasing trends, probably due to decreased total cloud cover. In addition, the heat balance indicated a net import of approximately 9 W m−2 of heat to the Eastern Mediterranean Basin from the Western Basin.
A statistical analysis of Baltic Sea upwelling has been carried out to cover, for the first time, the entire sea area for the period 1990–2009. Weekly composite SST maps based on NOAA/AVHRR satellite data were used to evaluate the location and frequency of upwelling. The results obtained were analysed and compared with earlier studies with excellent agreement. Our study enables the most intense upwelling areas in the entire Baltic Sea to be evaluated. According to the analysis of 443 SST maps, the most common upwelling regions are found off the Swedish south and east coasts (frequency 10–25%), the Swedish coast of the Bothnian Bay (16%), the southern tip of Gotland (up to 15%), and the Finnish coast of the Gulf of Finland (up to 15%). Pronounced upwelling also occurs off the Estonian coast and the Baltic east coast (up to 15%), the Polish coast and the west coast of Rugen (10–15%); otherwise the upwelling frequency was between 5 and 10%. Additionally, simulated SST distributions derived from a Baltic Sea numerical model were analysed for the same period. Furthermore, at specific positions close to the coastline, surface winds based on the SMHI meteorological data base were analysed for the same 20-year period. Wind components parallel to the coast were discriminated into favourable and unfavourable winds forcing upwelling. The obtained frequencies of upwelling-favourable winds fit very well the observed upwelling frequencies derived from satellite SST maps. A positive trend of upwelling frequencies along the Swedish east coast and the Finnish coast of the Gulf of Finland was calculated for the period 1990–2009.
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The inspiration to reassess method and timing for establishing alfalfa (Medicago sativa L.) is meteorological data documenting that current Polish winters are milder than several decades ago, when management recommendations were worked out for this crop. Additionally, prolonged periods of spring drought occur more frequently, posing significant challenges to the development of alfalfa seedlings under a companion crop. The hypothesis was made that as climatic conditions change, the traditional practice of spring sowing with a barley (Hordeum vulgare L.) companion crop may become higher risk, and direct sowing later in the season when rainfall is more dependable would provide advantages. From 2010 to 2014 three series of experiments were carried out over the establishment year and first production year. Establishment success and yield performance of alfalfa sown with a barley companion crop in April was compared to alfalfa direct sown in May, June, July and August. Plant density, overwinter survival, and diameter of the upper taproot from sowings performed in the period April to late July were similar. Plant density with August sowing was significantly higher, but taproot diameter was smaller than in plants sown earlier in spring or summer. Plants from all sowing treatments overwintered well, with the greatest stand loss of only 15% occurring with August sowing. In the first production year, mean dry matter yields were similar for alfalfa sown in the period from April to late July, averaging 11.7 Mg. ha⁻¹. First production year yield associated with August sowing was significantly lower, at 8.88 Mg. ha⁻¹. In the years and locations of this study, the alternative of direct sowing alfalfa up to late July resulted in similar establishment success to the traditional practice of sowing with a barley companion crop in early spring.
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The climate of Łeba

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Quickly developing tourist infrastructure of Łeba, including the needs of the city as a health resort and a perfect place for holiday at any time of the year, requires an elaboration of the comprehen-sive climatic characteristics. Taking into consideration the needs of the typical holiday makers and people with respiratory, circulatory and rheumatic diseases or metabolic disorders, elaboration of an appropriate description of the local climatic conditions in one of the most often visited spa on the Polish sea coast is more and more crucial. Daily meteorological data from the IMGW weather station in Łeba for the period 1986-2005 were the basis for this paper. The climatological analysis, besides the characteristics of the air tempera- ture and precipitation, includes the distribution of other principal meteorological elements (pres-sure, wind, sunshine hours, cloudiness, relative humidity) and the frequency of weather phenom-ena (fogs, storms).
The article presents changes in thermal and precipitation conditions on Polish territory in the years 1971–2010 based on data from six meteorological stations (Koszalin, Olsztyn, Poznań, Lublin, Opole and Kraków). These data concern the monthly average air temperature, precipitation and the number of days with precipitation per month. Based on the analysis of changing trends in the study of meteorological elements, authors observed an increase in the mean annual air temperature of about 0.9°C over 10 years in all localities. In contrast, trends in the average monthly air temperatures were characterised by temporal and spatial variation. As a result of the increase in temperature, there was a change in the dates signifying the beginning and the end of the thermal periods: farming (OG), vegetation (OW), intensive vegetation (OIW) and maturation or thermal summers (OD/L). A tendency for these periods to start earlier was noted. Statistically signifi cant changes were found for the following periods: vegetation in Koszalin and Olsztyn, intensive vegetation at all stations and thermal summer only in Lublin. An increasingly later end to these periods was noted, and statistically signifi cant trends were found for the dates of the end of the following periods: maturation (thermal summer) at all stations except Opole, intensive vegetation in Poznań and Lublin and vegetation in Lublin and Opole. Seasonal and monthly precipitation totals in the years 1971–2010 were characterised by cyclicality. Signifi cant upward trends were found only in the case of monthly precipitation totals in August in Koszalin and the sum of precipitation in the cooler half of the year in Poznań. In contrast, there was more days with precipitation at all stations included in the study, but the statistical signifi cance of trends varied by location. Changes in thermal and precipitation conditions were accompanied by, among other factors, an increase in temperature, changes in the length of thermal periods and an increase in the frequency of rainfall. All of this is important information for the agricultural sector regarding changing crop conditions.
Abiotic factors such as sunspot activity, radiation, insolation, air temperature and rainfall in the Białowieża Primeval Forest were measured for 26 years and the number of mature cows and bulls, calves born each year, bull/cow and calPcow ratios were counted. Results showed that, in 26 years, 984 calves were born (482 males and 502 females). The sex ratio was 0.96. The number of calves depended mostly on the bull/cow relation which changed from 0,12 to 0.46. Calf/cow ratio changed from 0.32 to 0.92. The rainfall in September was the most important abiotic factor. Less rain was associated with more male calves and an alteration in the male/female ratio in next year. The same concerns the calf/cow ratio. Rainfall over 3 mm in September diminished this ratio to 0.6. The other abiotic factors did not influence the fertilisation in the bison cows in the 3 autumn months. However, they showed the range of environmental indices, to which all animals living in the Forest must adapt their metabolism.
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