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001-es BibID:	BIBFORM081047
Első szerző:	Hadnagy István (meteorológus)
Cím:	The approximation of wind speed distributions with theoretical distributions of meteorological stations located in different orographic conditions / Hadnagy István, Tar Károly
Dátum:	2019
ISSN:	0324-6329
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk
Megjelenés:	Időjárás. - 123 : 3 (2019), p. 329-349. -
További szerzők:	Tar Károly (1947-) (klimatológus)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM136269
Első szerző:	Tar Károly (klimatológus)
Cím:	Statistical structure of the homogenized precipitation time series of Hungary : Part 2: Statistics of days and areas with precipitation in Hungary / Károly Tar, Sándor Szegedi, István Hadnagy, Tamás Tóth, István Lázár
Dátum:	2026
ISSN:	0324-6329
Megjegyzések:	The database of the present examination is the homogenized and interpolated precipitation time series of Hungary, which is diurnal amounts of precipitation for the 1233 grid cells, covering the area of the country for 1971-2022, in the state of the database in 2023. Firstly, the diurnal amount of precipitation over the area of the country, which is the sum of precipitation that falls in each grid cell over the area of the country has been chosen as a variable to be analyzed. Its annual and monthly characteristics have been analyzed for different independent variables. Secondly, spatial characteristics of the diurnal amount of precipitation, that is its distribution among the grid cells have been examined as well. Based on the above time series, nationwide dry, nationwide rainy, and locally rainy/dry days can be distinguished. In this article, we examine the frequency and precipitation yield of both nationwide, and locally rainy days. Precipitation tendency of an area is measured by the frequency of rainy days on the area and their precipitation yield based on the statistics of rainy days per grid. Our basic goal is to explore the temporal and spatial distribution of rainy days nationwide and locally.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk nationwide rainy days rainy days and areas
Megjelenés:	Időjárás. - 130 : 1 (2026), p. 45-68. -
További szerzők:	Szegedi Sándor (1970-) (klimatológus) Hadnagy István (1986-) (meteorológus) Tóth Tamás (1982-) (klimatológus) Lázár István (1986-) (geográfus)
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001-es BibID:	BIBFORM134436
Első szerző:	Tar Károly (klimatológus)
Cím:	Statistical structure of the homogenized precipitation time series of Hungary : Part 1: Statistics of dry days and areas in Hungary / Károly Tar, Sándor Szegedi, István Hadnagy, Tamás Tóth, István Lázár
Dátum:	2025
ISSN:	0324-6329
Megjegyzések:	An exact statistical description of present and future climate requires a database representative in space and time. However, observation records - that is raw climatological time series - are loaded with inhomogeneities due to changes in the location of the weather stations and usage of different instruments and observation protocols. Datasets must be homogenized first, which means that previous measurement data must be adjusted to the present observation protocols, while missing data must be supplemented. The data base of the present examination is the homogenized precipitation time series of Hungary, that is diurnal amounts of precipitation for the 1233 grid cells which cover the area of the country over the period of 1971-2022 in the state of the database in 2023. Firstly, the diurnal amount of precipitation over the area of the country, that is the sum of precipitation what falls in each cell of the grid over the area of the country has been chosen as a variable to be analyzed. Its annual and monthly characteristics have been analyzed for different independent variables. Secondly, spatial characteristics of the diurnal amount of precipitation, that is its distribution among the grid cells have been examined as well. In this article, after summarizing the climatic characteristics and the characteristics for the examined period of the total precipitation in Hungary, we analyze the spatial and temporal statistical properties of the daily dry grids and the dry days per grid. Dry days and grid cells are those when and where the daily precipitation amount is under 0.1 mm
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk
Megjelenés:	Időjárás. - 129 : 4 (2025), p. 393-417. -
További szerzők:	Szegedi Sándor (1970-) (klimatológus) Hadnagy István (1986-) (meteorológus) Tóth Tamás (1982-) (klimatológus) Lázár István (1986-) (geográfus)
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001-es BibID:	BIBFORM106201
035-os BibID:	(Scopus)85143897754
Első szerző:	Tar Károly (klimatológus)
Cím:	Statistical method for estimating average daily wind speed during the day / Károly Tar, István Lázár, István Hadnagy
Dátum:	2022
ISSN:	0324-6329
Megjegyzések:	Meteorologists keep searching and running models to provide the most accurate forecast of wind speed in addition to gaining a more detailed understanding of the wind conditions in Hungary. Wind speed and wind energy estimates, forecasts, and their verification are based on wind statistics from a longer or shorter previous period. Consequently, in addition to dynamic methods, purely statistical models also play an important role, i.e., findings that can be obtained from the statistical analysis of the existing database of measured data. The successive phases of the statistical method for producing scientific or operational information that can be extracted from measured, corrected, and stored meteorological data are generally: statistical analysis/processing, creating, verification, and application of the model, recording of the required information. The targeted information in this paper is the daily average of hourly wind speeds. The exact average of this time series can only be determined after the last measurement. To estimate this average during the day, however, the so-called sliding average model has been developed, which can be applied to any climatic element if its measured values are recorded at regular times over a certain period of time. The results presented in this paper are recommended for the preparation of the so-called "timetable", which is one of the most difficult problems for wind farm operators. This is basically the estimation of the amount of electricity produced the following day over short periods. It would be a significant help in the above if we can determine the probability of a decrease or increase in the average wind speed on the next day (and with it, the average daily wind power), or which of these two probabilities is greater. This requires an estimate of average wind speed of the next day. In addition, the results of one of our previous studies on the statistical structure of day-to-day changes in average daily wind speeds were also used. According to the results of the monthly testing of the model over a given period, the frequency of good estimates is between 80.6 % and 54.8%.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk sliding average model wind statistics wind farms daily wind power event frequency Hungary
Megjelenés:	Időjárás. - 126 : 4 (2022), p. 481-510. -
További szerzők:	Lázár István (1986-) (geográfus) Hadnagy István (1986-) (meteorológus)
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