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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/67908

    Título
    Trend and the cycle of fluctuations and statistical distribution of temperature of Berlin, Germany, in the period 1995–2012
    Autor
    Rasekhi, Saeed
    Pérez Bartolomé, Isidro AlbertoAutoridad UVA Orcid
    García Pérez, María ÁngelesAutoridad UVA
    Pazoki , FatemehAutoridad UVA Orcid
    Año del Documento
    2023
    Editorial
    MDPI
    Descripción
    Producción Científica
    Documento Fuente
    Environmental Sciences Proceedings, 2023, Vol. 27, Nº. 1, 5
    Resumen
    Temperature, as one of the most important factors in meteorological data analysis, is a variable parameter with severe changes in different periods. The trend of temperature changes over time is also particularly important to investigating climate change. In this research, using the data from the TRY Project, which includes meteorological data with an accuracy of 1 km grid and a time accuracy of 1 hour, the temperature parameter of the city of Berlin is selected and the average temperature of the urban area of Berlin was calculated at different temporal scales. In addition to finding the linear regression trend of average annual temperature increase, Fourier transforms analysis and the least squared error fitting method was used to investigate harmonic temperature fluctuations to find the main sinusoidal period. Further, with the statistical analysis of data in daily averages and 1 h intervals by considering medians of data as the benchmark for classification, months from April to October were determined as the hot months of the year, and hours from 9 to 19 were determined as daytime. Based on the mentioned classification, it was found that while the median difference between hot and cold months is more than 12 °C, the median difference between days and nights for the hot and cold months’ data is 5.2 °C and 2.1 °C, respectively. With this classification, the probability distribution of temperature was studied for each group, and the degree of similarity of this distribution with probability distribution functions such as normal, beta, gamma, and cosine, were investigated. The separate analysis of the data categorized by this method had the highest degree of similarity with beta and normal functions.
    Materias (normalizadas)
    Temperature trend
    Distribution functions
    Meteorology
    Harmonic analysis
    Statistics
    Materias Unesco
    2502 Climatología
    2509 Meteorología
    1209 Estadística
    2501 Ciencias de la Atmósfera
    ISSN
    2673-4931
    Revisión por pares
    SI
    DOI
    10.3390/ecas2023-15704
    Version del Editor
    https://www.mdpi.com/2673-4931/27/1/5
    Propietario de los Derechos
    © 2023 The authors
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/67908
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
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    • DEP31 - Artículos de revista [167]
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    Trend-and-the-Cycle-of-Fluctuations.pdf
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    Universidad de Valladolid

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