Multifractal analysis of meteorological time series to assess climate impacts

P Baranowski, J Krzyszczak, C Slawinski… - Climate …, 2015 - int-res.com
Agro-meteorological quantities are often in the form of time series, and knowledge about
their temporal scaling properties is fundamental for transferring locally measured …

A modified multifractal detrended fluctuation analysis (MFDFA) approach for multifractal analysis of precipitation

JLM Martínez, I Segovia-Domínguez… - Physica A: Statistical …, 2021 - Elsevier
Abstract Multifractal Detrended Fluctuation Analysis (MFDFA) is an efficient method to
investigate the long-term correlations of the power law of non-stationary time series, in which …

Investigating annual and monthly trends in precipitation structure: an overview across Portugal

MIP De Lima, SCP Carvalho… - Natural Hazards and …, 2010 - nhess.copernicus.org
This work investigates recent changes in precipitation patterns manifested in long annual
and monthly precipitation time series recorded in Portugal. The dataset comprises records …

A modified multifractal detrended fluctuation analysis (MFDFA) approach for multifractal analysis of precipitation in dongting lake basin, China

X Zhang, G Zhang, L Qiu, B Zhang, Y Sun, Z Gui… - Water, 2019 - mdpi.com
Multifractal detrended fluctuation analysis (MFDFA) method can examine higher-
dimensional fractal and multifractal characteristics hidden in time series. However, removal …

Multifractal characterization and comparison of meteorological time series from two climatic zones

J Krzyszczak, P Baranowski, M Zubik… - Theoretical and Applied …, 2019 - Springer
The results of the multifractal analysis performed for meteorological time series coming from
four stations in Poland and Bulgaria located in varying climatic zones are presented. To …

Using stable isotopes to characterize groundwater recharge sources in the volcanic island of Madeira, Portugal

S Prada, JV Cruz, C Figueira - Journal of Hydrology, 2016 - Elsevier
The hydrogeology of volcanic islands remains poorly understood, despite the fact that
populations that live on them rely on groundwater as a primary water source. This situation …

Temporal scale influence on multifractal properties of agro-meteorological time series

J Krzyszczak, P Baranowski, M Zubik… - Agricultural and Forest …, 2017 - Elsevier
Scale issues become very important when applying weather time series. We address
problems associated with transferring meteorological data across time scales by comparing …

[HTML][HTML] A regional machine learning method to outperform temperature-based reference evapotranspiration estimations in Southern Spain

JA Bellido-Jiménez, J Estévez… - Agricultural Water …, 2022 - Elsevier
Accurate estimations of reference evapotranspiration (ET 0) are crucial for determining crop
water requirements and designing an adequate irrigation scheduling to optimize the use of …

Multifractality, imperfect scaling and hydrological properties of rainfall time series simulated by continuous universal multifractal and discrete random cascade models

F Serinaldi - Nonlinear Processes in Geophysics, 2010 - npg.copernicus.org
Discrete multiplicative random cascade (MRC) models were extensively studied and applied
to disaggregate rainfall data, thanks to their formal simplicity and the small number of …

[HTML][HTML] Daily extreme temperature multifractals in Catalonia (NE Spain)

A Burgueño, X Lana, C Serra, MD Martínez - Physics Letters A, 2014 - Elsevier
The multifractal character of the daily extreme temperatures in Catalonia (NE Spain) is
analyzed by means of the multifractal detrended fluctuation analysis (MF-DFA) applied to 65 …