A web-based tool for the development of Intensity Duration Frequency curves under changing climate

Simonović́, Slobodan P.; Schardong, André; Sandink, Dan; Srivastav, Roshan

doi:10.1016/j.envsoft.2016.03.016

Cited by 80 publications

(50 citation statements)

References 16 publications

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“…Finally, WEBSEIDF was developed for common browsers including Internet Explorer, Mozilla Firefox, and Google Chrome (see Figure 2 for details). All software and informatics steps performed to develop WEBSEIDF are similar to those used by the authors of [23], in the development of a web-based tool for IDF curves estimation under climate change scenarios in Canada. 1.…”

Section: Informatic Development Of Webse Idfmentioning

confidence: 99%

“…Additionally, users provide updates to the database (in the necessary format) if newer data or gauges are needed to construct IDF curves. WEBSE IDF is similar in structure and components to the web tool developed and described by the authors of [23], for the generation of IDF curves under climate change scenarios in Canada. WEBSE IDF was developed in three stages: (1) collection of the rainfall intensity measurements database; (2) construction of IDF curves and mathematical models; and (3) development of a web-based GIS interface allowing simple browsing by users.…”

Section: Ordinary Krigingmentioning

confidence: 99%

“…The flexibility of WEBSE IDF allows users to save modifications made to the database without affecting the records contained in the original database. This option is very useful for generating climate change scenarios based on modified rainfall intensity records [23]. These steps are summarized in Figure 5.…”

Section: Procedures To Generate Idf Curves Using Webse Idfmentioning

confidence: 99%

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WEBSEIDF: A Web-Based System for the Estimation of IDF Curves in Central Chile

et al. 2018

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Abstract:The lack of reliable continuous rainfall records can exacerbate the negative impact of extreme storm events. The inability to describe the continuous characteristics of rainfall from storm events increases the likelihood that the design of hydraulic structures will be inadequate. To mitigate extreme storm impacts and improve water governance at the catchment scale, it is vital to improve the availability of data and the array of tools used to model and forecast hydrological processes. In this paper, we describe and discuss the implementation of a web-based system for the estimation of intensity-duration-frequency (IDF) curves (WEBSE IDF ) in Chile. The web platform was constructed using records from 47 pluviographic gauges available in central Chile (30-40 • S), with at least 15 years of reliable records. IDF curves can be generated for durations ranging from 15 min to 24 h. In addition, the extrapolation of rainfall intensity from pluviograph to pluviometric gauges (i.e., 24-h rainfall accumulation) can be carried out using the storm index (S I ) method. IDF curves can also be generated for any spatial location within central Chile using the ordinary Kriging method. These procedures allow the generation of numerical and graphical displays of IDF curves, for any selected spatial location, and for any combination of probability distribution function (PDF), parameter estimation method, and type of IDF model. One of the major advantages of WEBSE IDF is the flexibility of its database, which can be easily modified and saved to generate IDF curves under user-defined scenarios, that is, changing climate conditions. The implementation and validation of WEBSE IDF serves as a decision support system, providing an important tool for improving the ability of the Chilean government to mitigate the impact of extreme hydrologic events in central Chile. The system is freely available for students, researchers, and other relevant professionals, to improve technical decisions of public and private institutions.

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Section: Informatic Development Of Webse Idfmentioning

confidence: 99%

Section: Ordinary Krigingmentioning

confidence: 99%

Section: Procedures To Generate Idf Curves Using Webse Idfmentioning

confidence: 99%

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WEBSEIDF: A Web-Based System for the Estimation of IDF Curves in Central Chile

et al. 2018

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“…By setting the partial derivative of R with respect to α from (13) and z 0 from (14) to zero, and solving for α LS and ln z LS 0 , the following formulae apply [102]:…”

Section: Calculation Of Wind Speed At Hub Heightmentioning

confidence: 99%

“…This paper closes this gap by publishing a free tool for downloading hourly, global wind and solar PV generation time series, called GRETA (Global Renewable Energy Atlas & Time-series). GRETA adds to the growing body of work that develops publicly available research datasets [6][7][8][9][10] and modelling tools [11][12][13][14]. With regard to solar data more specifically, the US Department of Energy's recent "Orange Button" initiative will create open data standards to facilitate data exchange, reduce soft costs, and expedite financing [15].…”

Section: Introductionmentioning

confidence: 99%

An Open-Access Web-Based Tool to Access Global, Hourly Wind and Solar PV Generation Time-Series Derived from the MERRA Reanalysis Dataset

McPherson

Sotiropoulos-Michalakakos

Harvey

et al. 2017

Energies

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Wind and Solar Energy resources are an increasingly large fraction of generation in global electricity systems. However, the variability of these resources necessitates new datasets and tools for understanding their economics and integration in electricity systems. To enable such analyses and more, we have developed a free web-based tool (Global Renewable Energy Atlas & Time-series, or GRETA) that produces hourly wind and solar photovoltaic (PV) generation time series for any location on the globe. To do so, this tool applies the Boland-Ridley-Laurent and Perez models to NASA's (National Aeronautics and Space Administration) Modern-Era Retrospective Analysis for Research and Applications (MERRA) solar irradiance reanalysis dataset, and the Archer and Jacobson model to the MERRA wind reanalysis dataset to produce resource and power data, for a given technology's power curve. This paper reviews solar and wind resource datasets and models, describes the employed algorithms, and introduces the web-based tool.

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A novel spatial downscaling approach for climate change assessment in regions with sparse ground data networks

Kwon

Kim

Lima

et al. 2021

Preprint

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Due to the increased variability in the climate caused by global warming, the number of natural disasters has risen over the past four decades (Brown et al., 2008). Extreme events beyond the historical record and the bounds of natural variability have led to human casualties, property damages, and socioeconomic problems, creating international disagreements (AghaKouchak et al., 2014;Meehl et al., 2000;Oki & Kanae, 2006). It has become increasingly important to consider the changes in extreme events to design for safety from natural disasters as the climate gets warmer.Climate models (e.g., global climate models [GCMs] and regional climate models [RCMs]) represent the main tools used to assess the future climate and the associated changes in the hydrological circulation over a long-term planning horizon (Borgomeo et al., 2014;Haro-Monteagudo et al., 2020;Steinschneider et al., 2015). These climate models attempt to simulate accurately the current climate as well as the response of the climate system to projected greenhouse gas concentrations into the future (Kattsov et al., 2007;Kripalani et al., 2007). However, model simulations are known to exhibit systematic bias, which has limited the direct use of especially precipitation from climate models (S. Kim, Eghdamirad, et al., 2020;Woldemeskel et al., 2016). GCMs often have a low spatial resolution (100-300 km), with which regional climate may not be well reproduced (Diaconescu et al., 2018). In this context, RCMs with higher resolutions of 50 km or less can provide a better representation of localized extreme rainfall events at finer spatial scales (Hadjinicolaou Abstract This study proposes a novel approach that expands the existing QDM (quantile delta mapping) to address spatial bias, using Kriging within a Bayesian framework to assess the impact of using a point reference field. Our focus here is to spatially downscale daily rainfall sequences simulated by regional climate models (RCMs), coupled to the proposed QDM-spatial bias-correction, in which the distribution parameters are first interpolated onto a fine grid (rather than the observed daily rainfall). The proposed model is validated through a cross-validatory (CV) evaluation using rainfall data from a set of weather stations in South Korea and climate change scenarios simulated by three alternate RCMs. The results demonstrate the efficacy of the proposed model to simulate the bias-corrected daily rainfall sequences over large regions at fine resolutions. A discussion of the potential use of the proposed approach in the field of hydrometeorology is also offered.Plain Language Summary Climate models can simulate biased representations of atmospheric processes, necessitating procedures for correction before use in hydrological applications. Such spatial bias can be caused for many reasons, one of which is the use of point data in establishing a spatial reference field to compare model simulations against. The most straightforward way to address this bias is to interpolate the locally observed data at the weat...

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A web-based tool for the development of Intensity Duration Frequency curves under changing climate

Cited by 80 publications

References 16 publications

WEBSEIDF: A Web-Based System for the Estimation of IDF Curves in Central Chile

WEBSEIDF: A Web-Based System for the Estimation of IDF Curves in Central Chile

An Open-Access Web-Based Tool to Access Global, Hourly Wind and Solar PV Generation Time-Series Derived from the MERRA Reanalysis Dataset

A novel spatial downscaling approach for climate change assessment in regions with sparse ground data networks

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