The identification of an appropriate Minimum Inter‐event Time (MIT) based on multifractal characterization of rainfall data series

Medina-Cobo, M. T.; García‐Marín, A. P.; Estévez, Javier; Ayuso-Muñoz, J. L.

doi:10.1002/hyp.10875

Cited by 25 publications

(17 citation statements)

References 65 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, reducing the fully threedimensional processes into simplified one-dimensional or two-dimensional parameterizations is indeed challenging. The separation of the precipitation process into resolved and unresolved (parameterized) components is especially problematic for cloudbursts, where large-scale moisture convergence is present and can lead to positive feedback through latent heat release (Lenderink et al, 2017;Nie et al, 2018). An important result is the apparently good performance of the RCMs HIRHAM5 and REMO2009 on domain average statistics, whilst a closer look at spatial patterns reveals an actually poor performance.…”

Section: Discussionmentioning

confidence: 99%

Summertime precipitation extremes in a EURO-CORDEX 0.11° ensemble at an hourly resolution

Berg

Christensen

Klehmet

et al. 2019

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Regional climate model simulations have routinely been applied to assess changes in precipitation extremes at daily time steps. However, shorter sub-daily extremes have not received as much attention. This is likely because of the limited availability of high temporal resolution data, both for observations and for model outputs. Here, summertime depth duration frequencies of a subset of the EURO-CORDEX 0.11∘ ensemble are evaluated with observations for several European countries for durations of 1 to 12 h. Most of the model simulations strongly underestimate 10-year depths for durations up to a few hours but perform better at longer durations. The spatial patterns over Germany are reproduced at least partly at a 12 h duration, but all models fail at shorter durations. Projected changes are assessed by relating relative depth changes to mean temperature changes. A strong relationship with temperature is found across different subregions of Europe, emission scenarios and future time periods. However, the scaling varies considerably between different combinations of global and regional climate models, with a spread in scaling of around 1–10 % K−1 at a 12 h duration and generally higher values at shorter durations.

show abstract

Section: Discussionmentioning

confidence: 99%

Summertime precipitation extremes in a EURO-CORDEX 0.11° ensemble at an hourly resolution

Berg

Christensen

Klehmet

et al. 2019

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…Dunkerley [6] noted that MIT values ranged from 3 min to 24 h, with minimum event depths ranging from 0.1 mm to 13 mm. Additionally, statistical techniques, such as autocorrelation analysis [7] [8], and multifractal and self-organized criticality theories [9] have been used. Many researchers [4] [10] [11] have used the assumption that the probability density of inter-event times (IETs) can be adequately represented by an exponential distribution using the coefficient of variation (COV) method.…”

Section: Introductionmentioning

confidence: 99%

Precipitation Regionalization Using Self-Organizing Maps for Mumbai City, India

Parchure¹,

Gedam²

2018

JWARP

View full text Add to dashboard Cite

The detailed analysis of individual rain events characteristics is an essential step for improving our understanding of variation in precipitation over different topographies. In this study, the homogeneity among rain gauges was investigated using the concept of "rain event properties," linking them to the main atmospheric system that affects the rainfall in the region. For this, eight properties of more than 23,000 rain events recorded at 47 meteorological stations in Mumbai, India, were analyzed utilizing seasonal (June-September) rainfall records over 2006-2016. The high similarities among the properties indicated the similarities among the rain gauges. Furthermore, similar rain gauges were distinguished, investigated and characterized by cluster analysis using self-organizing maps (SOM). The cluster analysis results show six clusters of similarly behaving rain gauges, where each cluster addresses one isolated class of variables for the rain gauge. Additionally, the clusters confirm the spatial variation of rainfall caused by the complex topography of Mumbai, comprising the flatland near the Arabian Sea, high-rise buildings (urban area) and mountain and hills areas (Sanjay Gandhi National Park located in the northern part of Mumbai).

show abstract

“…All rainfall events at the CKCC site during the monitoring period were extracted using a 6‐hr interevent dry period following the recommendation of Medina‐Cobo, García‐Marín, Estévez, and Ayuso‐Muñoz (). Event‐based total and peak rainfall run‐off load (mm), which equal the rainfall intensity multiplied by the area ratio (shown in Table ) of the LID practices, total underdrain flow (mm), peak underdrain flow (mm/hr), and event‐averaged groundwater table depth (m), were calculated for both the CKCC site and the six monitoring locations at the IMAX site.…”

Section: Methodsmentioning

confidence: 99%

Interactions between shallow groundwater and low‐impact development underdrain flow at different temporal scales

Zhang

Chui

2018

Hydrological Processes

View full text Add to dashboard Cite

Low‐impact development (LID) practices are effective in managing surface run‐off, mitigating nonpoint source pollution, and recharging groundwater. However, they are often less effective in shallow groundwater environments as their surface infiltration and bottom exfiltration rates could be reduced, and the underdrains (i.e., underground drains within the media of the LID practices) may drain groundwater and alter groundwater dynamics. To evaluate and better understand the interactions between shallow groundwater and LID underdrain flow at different temporal scales, multiple statistical analyses were conducted on the monitored groundwater table depth and underdrain flow of porous pavements at the Central Kitsap Community Campus (Washington) and both porous pavements and bioretention cells at the IMAX parking lot (Ontario, Canada). The wavelet power, which represents oscillation behaviour and is obtained by continuous wavelet transform, of underdrain flow was a hybrid of that of rainfall and groundwater table depth. Rainfall variations at finer temporal scales (5 min to 10 days) resulted in finer scale underdrain flow, whereas groundwater fluctuations at coarser temporal scales (10 to 30 days) accounted for coarser scale underdrain flow and extended the duration of it. The impact of groundwater on underdrain flow was greater when the groundwater table was shallower than the underdrain (e.g., <0.6 m), particularly at finer temporal resolutions (5 min to 1 hr), which correspond to short‐term responses of LID practices and their corresponding effects on flooding. It was possible that the local groundwater mounds formed by infiltrated water instead of regional groundwater fluctuations that affected the underdrain flow in these conditions. Finally, through an evolutionary polynomial regression, two simple equations were obtained to predict the total amount and peak of LID underdrain flow using event‐based rainfall, groundwater table depth, and the hydraulic conductivity of media and in situ soils. The results may facilitate LID design and planning, and their implementation in shallow groundwater areas. The derived equations may benefit the real‐time control of LID‐related sewer and treatment systems in shallow groundwater urban catchments.

show abstract

The identification of an appropriate Minimum Inter‐event Time (MIT) based on multifractal characterization of rainfall data series

Cited by 25 publications

References 65 publications

Summertime precipitation extremes in a EURO-CORDEX 0.11° ensemble at an hourly resolution

Summertime precipitation extremes in a EURO-CORDEX 0.11° ensemble at an hourly resolution

Precipitation Regionalization Using Self-Organizing Maps for Mumbai City, India

Interactions between shallow groundwater and low‐impact development underdrain flow at different temporal scales

Contact Info

Product

Resources

About