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Author Zylowska, K.; Nieróbca, A.; Kozyra, J.; Syp, A.
Title Climatic condition for yielding of maize in Poland in the period 1971-2010 Type Conference Article
Year 2014 Publication Abbreviated Journal
Volume Issue Pages
Keywords CropM
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Area Expedition Conference MACSUR CropM International Symposium and Workshop: Modelling climate change impacts on crop production for food security, Oslo, Norway, 2014-02-10 to 2014-02-12
Notes Approved no
Call Number (up) MA @ admin @ Serial 2932
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Author Nieróbca, A.; Kozyra, J.; Doroszewski, A.; Zylowska, K.
Title The agro-meteorological model for yields of winter triticale Type Conference Article
Year 2014 Publication Abbreviated Journal
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Area Expedition Conference MACSUR CropM International Symposium and Workshop: Modelling climate change impacts on crop production for food security, Oslo, Norway, 2014-02-10 to 2014-02-12
Notes Approved no
Call Number (up) MA @ admin @ Serial 2684
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Author Kozyra, J.; Nieróbca, A.; Borzecka –Walker, M.; Pudelko, R.; Zylowska, K.; Labedzki, L.; Bak, J.; Faber, A.; Krasuska, E.
Title Adaptation to climate change in Central Europe – needs and reality Type Conference Article
Year 2014 Publication Abbreviated Journal
Volume Issue Pages
Keywords CropM
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Area Expedition Conference XIII ESA congress, Debrecen, Hungary, 2014-08-25 to 2014-08-29
Notes Approved no
Call Number (up) MA @ admin @ Serial 2571
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Author Kozyra, J.; Nieróbca, A.; Zylowska, K.
Title Changes in winter wheat phenology in Poland during the years 1975-2011 Type Conference Article
Year 2014 Publication Abbreviated Journal
Volume Issue Pages
Keywords CropM
Abstract
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Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
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Area Expedition Conference XIII ESA congress, Debrecen, Hungary, 2014-08-25 to 2014-08-29
Notes Approved no
Call Number (up) MA @ admin @ Serial 2572
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Author Baranowski, P.; Krzyszczak, J.; Slawinski, C.; Hoffmann, H.; Kozyra, J.; Nieróbca, A.; Siwek, K.; Gluza, A.
Title Multifractal analysis of meteorological time series to assess climate impacts Type Journal Article
Year 2015 Publication Climate Research Abbreviated Journal Clim. Res.
Volume 65 Issue Pages 39-52
Keywords multifractal analysis; time series; agro-meteorological parameters; detrended fluctuation analysis; daily temperature records; catalonia ne spain; fractal analysis; river-basin; precipitation; variability; patterns; trends; china
Abstract Agro-meteorological quantities are often in the form of time series, and knowledge about their temporal scaling properties is fundamental for transferring locally measured fluctuations to larger scales and vice versa. However, the scaling analysis of these quantities is complicated due to the presence of localized trends and nonstationarities. The objective of this study was to characterise scaling properties (i.e. statistical self-similarity) of the chosen agro-meteorological quantities through multifractal detrended fluctuation analysis (MFDFA). For this purpose, MFDFA was performedwith 11 322 measured time series (31 yr) of daily air temperature, wind velocity, relative air humidity, global radiation and precipitation from stations located in Finland, Germany, Poland and Spain. The empirical singularity spectra indicated their multifractal structure. The richness of the studied multifractals was evaluated by the width of their spectrum, indicating considerable differences in dynamics and development. In log-log plots of the cumulative distributions of all meteorological parameters the linear functions prevailed for high values of the response, indicating that these distributions were consistent with power-law asymptotic behaviour. Additionally, we investigated the type of multifractality that underlies the q-dependence of the generalized Hurst exponent by analysing the corresponding shuffled and surrogate time series. For most of the studied meteorological parameters, the multifractality is due to different long-range correlations for small and large fluctuations. Only for precipitation does the multifractality result mainly from broad probability function. This feature may be especially valuable for assessing the effect of change in climate dynamics.
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Language English Summary Language Original Title
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ISSN 0936-577x 1616-1572 ISBN Medium Article
Area Expedition Conference
Notes CropM, ft_macsur Approved no
Call Number (up) MA @ admin @ Serial 4666
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