Identification of flood seasonality and drivers across Canada

Singh, Jitendra; Ghosh, Subimal; Simonović́, Slobodan P.; Karmakar, Subhankar

doi:10.1002/hyp.14398

Cited by 6 publications

(2 citation statements)

References 63 publications

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“…This study explored the spatial pattern of global flood timing, its shifting and reasons. Compared to those studies on the mean flood date and flood-timing shifting in Europe and north America, this study lines up with the existing literature 3 , 23 , 24 , 46 .…”

Section: Discussionsupporting

confidence: 86%

“…The flood timing occurred earlier in the snow melting dominated regions (Figure S1 b), such as the Great Lake region (HS 2), Scandinavian region (HS 10), East Germany (HS 13), South English Channel and the United Kingdom region (HS12). The continuous global warming is considered a possible mechanism pushing forward the snow melting floods 46 , 48 . If the snow processes become less important in the future, the flood seasonality patterns in these regions may alter completely as other flood generation processes become dominant, e.g., more rain on snow events 22 .…”

Section: Discussionmentioning

confidence: 99%

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Shifting in the global flood timing

Fang

Jian

et al. 2022

Sci Rep

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Climate change will have an impact on not only flood magnitude but also on flood timing. This paper studies the shifting in flood timing at 6167 gauging stations from 1970 to 2010, globally. The shift in flood timing and its relationship with three influential factors (maximum 7-day precipitation, soil moisture excess, and snowmelt) are investigated. There is a clear global pattern in the mean flooding date: winter (Dec–Feb) across the western Coastal America, western Europe and the Mediterranean region, summer (Jun–Aug) in the north America, the Alps, Indian Peninsula, central Asia, Japan, and austral summer (Dec–Feb) in south Africa and north Australia area. The shift in flood timing has a trend from − 22 days per decade (earlier) to 28 days per decade (delayed). Earlier floods were found extensively in the north America, Europe and northeast Australia while delayed floods were prevailing in the Amazon, Cerrado, south Africa, India and Japan. Earlier flood timing in the north America and Europe was caused by earlier snowmelt while delayed extreme soil moisture excess and precipitation have jointly led to delayed floods around the monsoon zone, including south Africa, India and Japan. This study provides an insight on the shifting mechanism of flood timing, and supports decisions on the global flood mitigation and the impact from future climate change.

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Section: Discussionsupporting

confidence: 86%

Section: Discussionmentioning

confidence: 99%

Shifting in the global flood timing

Fang

Jian

et al. 2022

Sci Rep

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Comparing Satellite, Reanalysis, Fused and Gridded (In Situ) Precipitation Products Over Türkiye

Akbas,

Ozdemir

2024

Intl Journal of Climatology

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Precipitation is the fundamental source for various research areas, including hydrology, climatology, geomorphology, and ecology, serving essential roles in modelling, distribution, and process analysis. However, the accuracy and precision of spatially distributed precipitation estimates is a critical issue, particularly for daily scale and topographically complex areas. Although many datasets have been developed based on different algorithms and sources are developed for this purpose, determining which of these datasets best reflects actual conditions is quite challenging. This study, hence, aims to compare the 25 global distributed precipitation estimates (gridded, satellite, model, and fused) concerning 221 ground‐based observations based on the ranking of 18 continuous (evaluation statistics), eight categorical (precipitation indices), and two seasonality metric (high and low precipitation). Upon examining the results, gridded and model precipitation data including APHRODITE (Asian Precipitation—Highly‐Resolved Observational Data Integration Towards Evaluation), CPC (Global Unified Gauge‐Based Analysis of Daily Precipitation), ERA5‐Land (ECMWF Reanalysis 5th Generation for Lands), and CFSR (Climate Forecast System Reanalysis) occupy the top four positions in continuous metrics. In contrast, satellite data such as PERSIANN‐PDIR (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks), CMORPH (Climate Prediction Center morphing method), IMERG (The Integrated Multi‐Satellite Retrievals for GPM), and TRMM‐TMPA (Tropical Rainfall Measuring Mission/Multi‐satellite Precipitation Analysis) dominate in the top four positions in categorical metrics. For seasonality of high and low precipitation, fused, gridded, and reanalyses products such as CPC, MSWEP (Multi‐Source Weighted‐Ensemble Precipitation, version 2), HydroGFD (Hydrological Global Forcing Data), CFSR rank among top four. Based on the first five rankings of all metrics, fused (multiple sourced) and gridded datasets accurately reflect the actual situations compared to other precipitation products. Reanalysis (model) and satellite‐based follow this rank, respectively. The results clearly indicate that fused precipitation derived products from multiple sources offer better accuracy and precision in representing the spatial distribution of precipitation on a daily scale.

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Climate change impact on flood inundation along the downstream reach of the Humber River basin

Sarchani,

Tsanis

2024

Journal of Hydrology: Regional Studies

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Identification of flood seasonality and drivers across Canada

Cited by 6 publications

References 63 publications

Shifting in the global flood timing

Shifting in the global flood timing

Comparing Satellite, Reanalysis, Fused and Gridded (In Situ) Precipitation Products Over Türkiye

Climate change impact on flood inundation along the downstream reach of the Humber River basin

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