Significance testing of rank cross-correlations between autocorrelated time series with short-range dependence

Random Fields Simplified: Preserving Marginal Distributions, Correlations, and Intermittency, With Applications From Rainfall to Humidity

(2020) Simon Michael Papalexiou et al.   WATER RESOURCES RESEARCH

Changing climate both increases and decreases European river floods

(2019) Günter Blöschl et al.   NATURE

An Ensemble Version of the E-OBS Temperature and Precipitation Data Sets

(2018) Richard C. Cornes et al.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

Changing climate shifts timing of European floods

(2017) Günter Blöschl et al.   SCIENCE

Review of dependence modeling in hydrology and water resources

(2016) Zengchao Hao et al.   PROGRESS IN PHYSICAL GEOGRAPHY

Understanding Persistence to Avoid Underestimation of Collective Flood Risk

(2016) Francesco Serinaldi et al.   Water

Dependence between flood peaks and volumes: a case study on climate and hydrological controls

(2015) L. Gaál et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

An analysis of change in alpine annual maximum discharges: implications for the selection of design discharges

(2011) Attilio Castellarin et al.   HYDROLOGICAL PROCESSES

The distribution of Kendall's tau for testing the significance of cross-correlation in persistent data

(2011) K. H. Hamed   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Strictly stationary solutions of autoregressive moving average equations

(2010) P. J. Brockwell et al.   BIOMETRIKA

Global warming increases flood risk in mountainous areas

(2009) P. Allamano et al.   GEOPHYSICAL RESEARCH LETTERS