Benchmarking homogenization algorithms for monthly data

VKC Venema, O Mestre, E Aguilar, I Auer… - Climate of the …, 2012 - cp.copernicus.org
The COST (European Cooperation in Science and Technology) Action ES0601: advances in
homogenization methods of climate series: an integrated approach (HOME) has executed a …

[HTML][HTML] Untenable nonstationarity: An assessment of the fitness for purpose of trend tests in hydrology

F Serinaldi, CG Kilsby, F Lombardo - Advances in Water Resources, 2018 - Elsevier
The detection and attribution of long-term patterns in hydrological time series have been
important research topics for decades. A significant portion of the literature regards such …

Generating artificial light curves: revisited and updated

D Emmanoulopoulos, IM McHardy… - Monthly Notices of the …, 2013 - academic.oup.com
The production of artificial light curves with known statistical and variability properties is of
great importance in astrophysics. Consolidating the confidence levels during cross …

On the role of patterns in understanding the functioning of soil-vegetation-atmosphere systems

H Vereecken, Y Pachepsky, C Simmer, J Rihani… - Journal of …, 2016 - Elsevier
In this paper, we review the role of patterns to improve our understanding of water, mass and
energy exchange processes in soil-vegetationatmosphere systems. We explore the main …

From climate model ensembles to climate change impacts and adaptation: A case study of water resource management in the southwest of England

A Lopez, F Fung, M New, G Watts… - Water resources …, 2009 - Wiley Online Library
The majority of climate change impacts and adaptation studies so far have been based on at
most a few deterministic realizations of future climate, usually representing different …

Quantification of long-range persistence in geophysical time series: conventional and benchmark-based improvement techniques

A Witt, BD Malamud - Surveys in Geophysics, 2013 - Springer
Time series in the Earth Sciences are often characterized as self-affine long-range
persistent, where the power spectral density, S, exhibits a power-law dependence on …

Coincidences of climate extremes and anomalous vegetation responses: comparing tree ring patterns to simulated productivity

A Rammig, M Wiedermann, JF Donges, F Babst… - …, 2015 - bg.copernicus.org
Climate extremes can trigger exceptional responses in terrestrial ecosystems, for instance
by altering growth or mortality rates. Such effects are often manifested in reductions in net …

Fractal and multifractal properties of electrographic recordings of human brain activity: toward its use as a signal feature for machine learning in clinical applications

LGS França, JGV Miranda, M Leite, NK Sharma… - Frontiers in …, 2018 - frontiersin.org
The quantification of brain dynamics is essential to its understanding. However, the brain is
a system operating on multiple time scales, and characterization of dynamics across time …

Efficiency of time series homogenization: Method comparison with 12 monthly temperature test datasets

P Domonkos, JA Guijarro, V Venema… - Journal of …, 2021 - journals.ametsoc.org
The aim of time series homogenization is to remove nonclimatic effects, such as changes in
station location, instrumentation, observation practices, and so on, from observed data …

[HTML][HTML] Stochastic simulation of streamflow and spatial extremes: a continuous, wavelet-based approach

MI Brunner, E Gilleland - Hydrology and Earth System Sciences, 2020 - hess.copernicus.org
Stochastically generated streamflow time series are used for various water management
and hazard estimation applications. They provide realizations of plausible but as yet …