Trend detection in river flow series: 1. Annual maximum flow / Détection de tendance dans des séries de débit fluvial: 1. Débit maximum annuel

Kundzewicz, Zbigniew W.; Graczyk, Dariusz; Maurer, Thomas Andreas; Pińskwar, Iwona; Radziejewski, Maciej; Svensson, Cecilia; Szwed, Małgorzata

doi:10.1623/hysj.2005.50.5.797

Cited by 201 publications

(50 citation statements)

References 20 publications

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“…Exceptions to this are Knox's [75] analysis of the annual maximum flood series for the upper Mississippi River since 1878 that showed significant variability of the 50 year probability flood, which tracked shifts in patterns of large-scale atmospheric circulation. However, most studies, notably a global review by Kundzewicz et al [101] Prior to modern gauged records, historical flood levels have been recorded for the River Nile at Cairo back to AD 662 [103], while documentary evidence provides continuous information for the severity of floods (duration, extent, loss of life and damage to buildings and infrastructure) from ca AD 1500 in both China [104] and Europe [105]. These observation-based records show clear relationships to short-term climate variability, including the NAO and ENSO, as well as to longer climate episodes, such as the Mediaeval Climatic Anomaly (MCA) and the LIA.…”

Section: (C) Historical and Instrumentalmentioning

confidence: 99%

The fluvial record of climate change

Macklin

Lewin

Woodward

2012

Phil. Trans. R. Soc. A.

173

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Fluvial landforms and sediments can be used to reconstruct past hydrological conditions over different time scales once allowance has been made for tectonic, base-level and human complications. Field stratigraphic evidence is explored here at three time scales: the later Pleistocene, the Holocene, and the historical and instrumental period. New data from a range of field studies demonstrate that Croll–Milankovitch forcing, Dansgaard–Oeschger and Heinrich events, enhanced monsoon circulation, millennial- to centennial-scale climate variability within the Holocene (probably associated with solar forcing and deep ocean circulation) and flood-event variability in recent centuries can all be discerned in the fluvial record. Although very significant advances have been made in river system and climate change research in recent years, the potential of fluvial palaeohydrology has yet to be fully realized, to the detriment of climatology, public health, resource management and river engineering.

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Section: (C) Historical and Instrumentalmentioning

confidence: 99%

The fluvial record of climate change

Macklin

Lewin

Woodward

2012

Phil. Trans. R. Soc. A.

173

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“…Kundzewicz et al, 2005;Svensson et al, 2005) do not support the hypothesis of a ubiquitous increase in annual maximum river flows. No gauge-based evidence of geographically organized patterns of robust and ubiquitous climate-driven change in flood magnitude and frequency of high discharge in European rivers during the last decades has been identified.…”

Section: Observations -Change Detection In Flood Datamentioning

confidence: 96%

“…No gauge-based evidence of geographically organized patterns of robust and ubiquitous climate-driven change in flood magnitude and frequency of high discharge in European rivers during the last decades has been identified. Nevertheless, Kundzewicz et al (2005), who analysed 70 long time series of river discharge in Europe, found that the overall maxima for the period 1961-2000 occurred more frequently in 1981-2000 (46 times) than in 1961-1980 (24 times).…”

Section: Observations -Change Detection In Flood Datamentioning

confidence: 99%

Climate change track in river floods in Europe

Kundzewicz

2015

Proc. IAHS

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Abstract.A holistic perspective on changing river flood risk in Europe is provided. Economic losses from floods have increased, principally driven by the expanding exposure of assets at risk. Climate change (i.e. observed increase in precipitation intensity, decrease of snowpack and other observed climate changes) might already have had an impact on floods. However, no gauge-based evidence had been found for a climate-driven, widespread change in the magnitude/frequency of floods during the last decades. There are strong regional and sub-regional variations in the trends. Moreover, it has not been generally possible to attribute rain-generated peak streamflow trends to anthropogenic climate change.Physical reasoning suggests that projected increases in the frequency and intensity of heavy rainfall would contribute to increases in rain-generated local floods, while less snowmelt flooding and earlier spring peak flows in snowmelt-fed rivers are expected. However, there is low confidence in future changes in flood magnitude and frequency resulting from climate change. The impacts of climate change on flood characteristics are highly sensitive to the detailed nature of those changes.Discussion of projections of flood hazard in Europe is offered. Attention is drawn to a considerable uncertainty -over the last decade or so, projections of flood hazard in Europe have largely changed.

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“…Time series of annual maximum streamflow have been subject to regional and global trend assessments (e.g. Do et al, 2017;Hall et al, 2015;Kumar et al, 2009;Kundzewicz et al, 2005;Lins and Slack, 1999;McCabe and Wolock, 2002;Small et al, 2006;Zhang et al, 2001). …”

Section: Definition: Minimum Value Of Daily Streamflow 20mentioning

confidence: 99%

“…Gudmundsson et al, 2011;Lins and Slack, 1999;Zhang et al, 2001), flood indices (e.g. Blöschl et al, 2017;Hodgkins et al, 2017;Kumar et al, 2009;Kundzewicz et al, 2005;Lins and Slack, 1999;McCabe and Wolock, 2002;Small et al, 2006;Svensson et al, 2005;Zhang et al, 2001) and low-flow indicators (e.g. Hisdal et al, 2001;Lins and Slack, 1999;McCabe and 5 Wolock, 2002;Small et al, 2006;Stahl et al, 2010;Stahl et al, 2012;Svensson et al, 2005;Tallaksen et al, 1997;Zhang et al, 2001).…”

Section: Introduction 20mentioning

confidence: 99%

The Global Streamflow Indices and Metadata Archive (GSIM) – Part 2: Quality Control, Time-series Indices and Homogeneity Assessment

Gudmundsson¹,

Hong²,

Leonard³

et al. 2017

Preprint

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Abstract.This is Part 2 of a two-paper series presenting the Global Streamflow Indices and Metadata Archive (GSIM), which is a collection of daily streamflow observations at more than 30000 stations around the world. While Part 1 describes the data 10 collection process as well as the generation of auxiliary catchment data (e.g. catchment boundary, land-cover, mean climate), Part 2 introduces a set of quality controlled time series indices representing (i) the water balance, (ii) the seasonal cycle, (iii) low-flows and (iv) floods. To this end we first consider the quality of individual daily records using a combination of quality flags of the data providers and automated screening methods. Subsequently streamflow time series indices are computed for yearly, seasonal and monthly resolution. The paper closes with a generalized assessment of the homogeneity of all generated 15 streamflow time series indices, which can be used to select time series that are suitable for a specific task. The presented global set of streamflow time series indices is made freely available at https://iacweb.ethz.ch/staff/lukasgu/GSIM/GSIM_indices.zip and is expected to foster global freshwater research, by acting as a ground-truth for model validation or as a basis for assessing the role of human impacts on the terrestrial water cycle.

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Trend detection in river flow series: 1. Annual maximum flow / Détection de tendance dans des séries de débit fluvial: 1. Débit maximum annuel

Cited by 201 publications

References 20 publications

The fluvial record of climate change

The fluvial record of climate change

Climate change track in river floods in Europe

The Global Streamflow Indices and Metadata Archive (GSIM) – Part 2: Quality Control, Time-series Indices and Homogeneity Assessment

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