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Rodrigo Valdes
Department of Hydrology & Atmospheric Sciences, University of Arizona, Tucson, AZ 85721, USA

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Preprint content
Published: 04 March 2021
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The operational implementation of a Hydrologic Forecasting System (HFS) is limited in many catchments of the world by the lack of historical in-situ hydrologic data, i.e., long temporal records of rainfall or streamflow. By combining high-resolution Satellite Precipitation Products (SPPs), or Regional Climatological Models (RCMs), with Hydrologic Models, baselines can be established for the quantification and reduction of total hydrologic uncertainty in ungauged basins. We have studied how Variational Ensemble Forecasting (VEF) can be combined with Machine Learning (ML) techniques to improve a hydrologic system representation – i.e., raw data processing, model training, model evaluation, model selection, forecasts post-processing, etc. The VEF-ML method is applied and assessed with three general Hydrologic Processing Hypotheses (HPH): (1) Hydrologic Pre-processing (HPR), (2) Hydrologic Processing (HP), and (3) Hydrologic Post-processing (HPP). The operational implementation of VEF-ML was evaluated in the Upper Zambezi River Basin (UZRB) and its sub-basins, by using multiple precipitation products, multiple hydrologic models, and multiple optimal parameter sets. This extended VEF configuration and its coupling with ML techniques (VEF-ML) allows increasing the number of hydrologic ensembles available for the generation of operational streamflow forecasts products. The performance of VEF-ML is evaluated by comparing two hydrologic learning strategies (HLS) i.e. inference- and pattern-based approaches, which are used to improve hydrologic post-processing hypotheses (i.e. reduce total hydrologic uncertainty) in the poorly gauged UZRB.

ACS Style

Rodrigo Valdés-Pineda; Juan B. Valdés; Sungwook Wi; Aleix Serrat-Capdevila; Roy Tirthankar; Eleonora M.C. Demaria; Matej Durcik. Operational Daily Streamflow Forecasts by coupling Variational Ensemble Forecasting and Machine Learning (VEF-ML) approaches. 2021, 1 .

AMA Style

Rodrigo Valdés-Pineda, Juan B. Valdés, Sungwook Wi, Aleix Serrat-Capdevila, Roy Tirthankar, Eleonora M.C. Demaria, Matej Durcik. Operational Daily Streamflow Forecasts by coupling Variational Ensemble Forecasting and Machine Learning (VEF-ML) approaches. . 2021; ():1.

Chicago/Turabian Style

Rodrigo Valdés-Pineda; Juan B. Valdés; Sungwook Wi; Aleix Serrat-Capdevila; Roy Tirthankar; Eleonora M.C. Demaria; Matej Durcik. 2021. "Operational Daily Streamflow Forecasts by coupling Variational Ensemble Forecasting and Machine Learning (VEF-ML) approaches." , no. : 1.

Journal article
Published: 01 July 2020 in Water
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To develop intensity-duration-frequency (IDF) curves, it is necessary to calculate annual maximum rainfall intensities for different durations. Traditionally, these intensities have been calculated from the analysis of traces recorded by rain gauges on pluviograph strip charts (PSCs). For many years, these charts have been recorded and analyzed by the personnel who operate and maintain the pluviograph gauges, thus the reliability of the observational analysis depends exclusively on the professional experience of the person performing the analysis. Traditionally, the analyzed PSCs are physically stored in data repository centers. After storing rainfall data on aging paper for many years, the risk of losing rainfall records is very high. Therefore, the conversion of PSC records to digital format is crucial to preserve and improve the historical instrumental data base of these records. We conducted the first “Data Rescue Initiative” (DRI) for central Chile using a pluviograph strip charts reader (PSCR), a tool that uses a scanner-type device combined with digital image processing techniques to estimate maximum rainfall intensities for different durations for each paper band (> 80,000 paper bands). On the paper bands, common irregularities associated with excess ink, annotations, or blemishes can affect the scanning process; this system was designed with a semi-automatic module that allows users to edit the detected trace to improve the recognition of the data from each PSC. The PSCR’s semi-automatic characteristics were designed to read many PSCs in a short period of time. The tool also allows for the calculation of rainfall intensities in durations ranging between 15 min to 1 h. This capability improves the value of the data for water infrastructure design, since intense storms of shorter duration often have greater impacts than longer but less intense storms. In this study, the validation of the PSCR against records obtained from observational analysis showed no significant differences between maximum rainfall intensities for durations of 1 h, 6 h, and 24 h.

ACS Style

Roberto Pizarro-Tapia; Fernando González-Leiva; Rodrigo Valdés-Pineda; Ben Ingram; Claudia Sangüesa; Carlos Vallejos. A Rainfall Intensity Data Rescue Initiative for Central Chile Utilizing a Pluviograph Strip Charts Reader (PSCR). Water 2020, 12, 1887 .

AMA Style

Roberto Pizarro-Tapia, Fernando González-Leiva, Rodrigo Valdés-Pineda, Ben Ingram, Claudia Sangüesa, Carlos Vallejos. A Rainfall Intensity Data Rescue Initiative for Central Chile Utilizing a Pluviograph Strip Charts Reader (PSCR). Water. 2020; 12 (7):1887.

Chicago/Turabian Style

Roberto Pizarro-Tapia; Fernando González-Leiva; Rodrigo Valdés-Pineda; Ben Ingram; Claudia Sangüesa; Carlos Vallejos. 2020. "A Rainfall Intensity Data Rescue Initiative for Central Chile Utilizing a Pluviograph Strip Charts Reader (PSCR)." Water 12, no. 7: 1887.

Journal article
Published: 19 January 2020 in Water
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Located southwest of the city of Santiago (Chile), the Aculeo Lagoon used to be an important body of water, providing environmental, social, and economic services to both locals (mostly drinking water and small-scale agricultural irrigation) and tourists who visited the area for fishing, sailing, and other recreational activities. The lagoon dried completely in May of 2018. The phenomenon has been attributed to the current climatic drought. We implemented and calibrated a surface-groundwater model to evaluate the hydrogeologic causes of the lagoon’s disappearance, and to develop feasible solutions. The lagoon’s recovery requires a series of urgent actions, including environmental education and significant investment in infrastructure to import water. Ultimately, there are two goals: bringing back historic water levels and ensuring the sustainability of water resources at the catchment scale.

ACS Style

Rodrigo Valdés-Pineda; Pablo García-Chevesich; Rodrigo Valdes; Roberto Pizarro-Tapia. The First Drying Lake in Chile: Causes and Recovery Options. Water 2020, 12, 290 .

AMA Style

Rodrigo Valdés-Pineda, Pablo García-Chevesich, Rodrigo Valdes, Roberto Pizarro-Tapia. The First Drying Lake in Chile: Causes and Recovery Options. Water. 2020; 12 (1):290.

Chicago/Turabian Style

Rodrigo Valdés-Pineda; Pablo García-Chevesich; Rodrigo Valdes; Roberto Pizarro-Tapia. 2020. "The First Drying Lake in Chile: Causes and Recovery Options." Water 12, no. 1: 290.

Preprint content
Published: 17 September 2018 in Hydrology and Earth System Sciences Discussions
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Precipitation undergoes a two-step partitioning when it falls on the land surface. At the land surface and in the shallow subsurface, rainfall or snowmelt can either runoff as infiltration/saturation excess or quick subsurface flow. The rest will be stored temporarily in the root zone. From the root zone, water can leave the catchment as evapotranspiration or percolate further and recharge deep storage. It was recently shown that an index of vegetation water use efficiency, the Horton index (HI), could predict deep storage dynamics. Here we test this finding using 247 MOPEX catchments across the conterminous US. Our results show that the observed HI is indeed a reliable predictor of deep storage dynamics. We also find that the HI can reliably predict the long-term average recharge rate. Our results compare favorably with estimates of average recharge rates from the US Geological Survey. Previous research has shown that HI can be estimated based on aridity index, mean slope and mean elevation of a catchment (Voepel et al., 2011). We recalibrated Voepel’s model and used it to predict the HI for our catchments. We then used these predicted values of the HI to estimate average recharge rates for our catchments, and compared them with those estimated from observed HI. We find that the accuracies of our predictions based on observed and predicted HI are similar. This provides a novel estimation method of catchment-scale long-term average recharge rates based on simple catchment characteristics, such as climate and topography, and free of discharge measurements.

ACS Style

Peter A. Troch; Ravindra Dwivedi; Tao Liu; Antonio Alves Meira Neto; Tirthankar Roy; Rodrigo Valdés-Pineda; Matej Durcik; Saúl Arciniega-Esparza; José Agustín Breña-Naranjo. Catchment-scale groundwater recharge and vegetation water use efficiency. Hydrology and Earth System Sciences Discussions 2018, 2018, 1 -46.

AMA Style

Peter A. Troch, Ravindra Dwivedi, Tao Liu, Antonio Alves Meira Neto, Tirthankar Roy, Rodrigo Valdés-Pineda, Matej Durcik, Saúl Arciniega-Esparza, José Agustín Breña-Naranjo. Catchment-scale groundwater recharge and vegetation water use efficiency. Hydrology and Earth System Sciences Discussions. 2018; 2018 ():1-46.

Chicago/Turabian Style

Peter A. Troch; Ravindra Dwivedi; Tao Liu; Antonio Alves Meira Neto; Tirthankar Roy; Rodrigo Valdés-Pineda; Matej Durcik; Saúl Arciniega-Esparza; José Agustín Breña-Naranjo. 2018. "Catchment-scale groundwater recharge and vegetation water use efficiency." Hydrology and Earth System Sciences Discussions 2018, no. : 1-46.

Journal article
Published: 04 August 2018 in Hydrology
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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 (WEBSEIDF) 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 (SI) 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 WEBSEIDF 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 WEBSEIDF 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.

ACS Style

Roberto Pizarro; Ben Ingram; Fernando Gonzalez-Leiva; Rodrigo Valdés-Pineda; Claudia Sangüesa; Nicolás Delgado; Pablo García-Chevesich; Juan B. Valdés. WEBSEIDF: A Web-Based System for the Estimation of IDF Curves in Central Chile. Hydrology 2018, 5, 40 .

AMA Style

Roberto Pizarro, Ben Ingram, Fernando Gonzalez-Leiva, Rodrigo Valdés-Pineda, Claudia Sangüesa, Nicolás Delgado, Pablo García-Chevesich, Juan B. Valdés. WEBSEIDF: A Web-Based System for the Estimation of IDF Curves in Central Chile. Hydrology. 2018; 5 (3):40.

Chicago/Turabian Style

Roberto Pizarro; Ben Ingram; Fernando Gonzalez-Leiva; Rodrigo Valdés-Pineda; Claudia Sangüesa; Nicolás Delgado; Pablo García-Chevesich; Juan B. Valdés. 2018. "WEBSEIDF: A Web-Based System for the Estimation of IDF Curves in Central Chile." Hydrology 5, no. 3: 40.

Journal article
Published: 27 April 2018 in Ingeniería del agua
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La erosión de sedimentos es un problema serio, con aproximadamente 75.000 millones de toneladas de suelo erosionadas anualmente en todo el mundo (Pimentel y Kounang, 1998). Aunque la erosión es un proceso natural, ésta puede acelerarse debido a la actividad humana y a los cambios en el uso de la tierra. El incremento de la erosión del suelo más allá de su umbral natural puede resultar en una degradación ambiental significativa y una disminución de la productividad económica. La implementación de leyes y prácticas de gestión de sedimentos es fundamental para disminuir significativamente la erosión del suelo y preservar los recursos ambientales. En los Estados Unidos, existe un sistema integral de leyes y regulaciones a nivel nacional, estatal, del condado y de ciudad que gobiernan la erosión y el control de sedimentos. Las leyes y los incentivos voluntarios descritos en nuestro trabajo han reducido significativamente los impactos negativos de los sedimentos transportados en las escorrentías urbanas y rurales, han reducido los contaminantes químicos y biológicos en los sedimentos transportados hacia los ecosistemas acuáticos y han mejorado la calidad del aire en varias ciudades con problemas de contaminación atmosférica. Tener un enfoque multifacético para monitorizar la erosión y mejorar la gestión del suelo es importante para un ambiente y una economía sanos y productivos.

ACS Style

P. A. Garcia-Chevesich; S. L. Jones; J. M. Daniels; R. Valdés-Pineda; H. Venegas-Quiñones; R. Pizarro. Marco legislativo para la gestión de sedimentos en los Estados Unidos. Ingeniería del agua 2018, 22, 53 -67.

AMA Style

P. A. Garcia-Chevesich, S. L. Jones, J. M. Daniels, R. Valdés-Pineda, H. Venegas-Quiñones, R. Pizarro. Marco legislativo para la gestión de sedimentos en los Estados Unidos. Ingeniería del agua. 2018; 22 (2):53-67.

Chicago/Turabian Style

P. A. Garcia-Chevesich; S. L. Jones; J. M. Daniels; R. Valdés-Pineda; H. Venegas-Quiñones; R. Pizarro. 2018. "Marco legislativo para la gestión de sedimentos en los Estados Unidos." Ingeniería del agua 22, no. 2: 53-67.

Journal article
Published: 01 January 2017 in Open Journal of Modern Hydrology
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Recent attention has been put into recurring slope lineae (RSL), after the discovery that water is present in them. It is assumed that RSL are due to flowing water. However, even though that might be the case, the general characteristics of RSL as well as their seasonal and spatial distribution in Mars, and their occurrence within craters, suggest that RSL correspond to the weathering of frozen aquifers, which coincides with slope stability processes occurring in impact craters and scree slopes from Earth. In this study, we associated RSL with similar weathering processes occurring on impact craters and hydrogeological processes occurring on Earth (including ice, water, and wind erosion and natural aquifer recharge processes). We were able to create a conceptual model on how RSL develop, why are they found mostly in mid latitudes around craters, why are they present in more frequency in one side of crates in high latitudes, and why are there more RSL in the Martian southern hemisphere. Considering the whole hydrogeological processes occurring in craters that experience RSL, we were able to predict where large quantities of liquid water are most likely to be present in the red planet.

ACS Style

Pablo Garcia-Chevesich; Eduardo Bendek; Roberto Pizarro; Rodrigo Valdes-Pineda; David Gonzalez; Horacio Bown; Eduardo Martínez; Luis Gonzalez. Weathering Processes on Martian Craters: Implications on Recurring Slope Lineae and the Location of Liquid Water. Open Journal of Modern Hydrology 2017, 07, 245 -256.

AMA Style

Pablo Garcia-Chevesich, Eduardo Bendek, Roberto Pizarro, Rodrigo Valdes-Pineda, David Gonzalez, Horacio Bown, Eduardo Martínez, Luis Gonzalez. Weathering Processes on Martian Craters: Implications on Recurring Slope Lineae and the Location of Liquid Water. Open Journal of Modern Hydrology. 2017; 07 (04):245-256.

Chicago/Turabian Style

Pablo Garcia-Chevesich; Eduardo Bendek; Roberto Pizarro; Rodrigo Valdes-Pineda; David Gonzalez; Horacio Bown; Eduardo Martínez; Luis Gonzalez. 2017. "Weathering Processes on Martian Craters: Implications on Recurring Slope Lineae and the Location of Liquid Water." Open Journal of Modern Hydrology 07, no. 04: 245-256.

Journal article
Published: 13 October 2016 in Remote Sensing
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We present an evaluation of daily estimates from three near real-time quasi-global Satellite Precipitation Products—Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), and Climate Prediction Center (CPC) Morphing Technique (CMORPH)—over the African continent, using the Global Precipitation Climatology Project one Degree Day (GPCP-1dd) as a reference dataset for years 2001 to 2013. Different types of errors are characterized for each season as a function of spatial classifications (latitudinal bands, climatic zones and topography) and in relationship with the main rain-producing mechanisms in the continent: the Intertropical Convergence Zone (ITCZ) and the East African Monsoon. A bias correction of the satellite estimates is applied using a probability density function (pdf) matching approach, with a bias analysis as a function of rain intensity, season and latitude. The effects of bias correction on different error terms are analyzed, showing an almost elimination of the mean and variance terms in most of the cases. While raw estimates of TMPA show higher efficiency, all products have similar efficiencies after bias correction. PERSIANN consistently shows the smallest median errors when it correctly detects precipitation events. The areas with smallest relative errors and other performance measures follow the position of the ITCZ oscillating seasonally over the equator, illustrating the close relationship between satellite estimates and rainfall regime.

ACS Style

Aleix Serrat-Capdevila; Manuel Merino; Juan B Valdes; Matej Durcik. Evaluation of the Performance of Three Satellite Precipitation Products over Africa. Remote Sensing 2016, 8, 836 .

AMA Style

Aleix Serrat-Capdevila, Manuel Merino, Juan B Valdes, Matej Durcik. Evaluation of the Performance of Three Satellite Precipitation Products over Africa. Remote Sensing. 2016; 8 (10):836.

Chicago/Turabian Style

Aleix Serrat-Capdevila; Manuel Merino; Juan B Valdes; Matej Durcik. 2016. "Evaluation of the Performance of Three Satellite Precipitation Products over Africa." Remote Sensing 8, no. 10: 836.

Preprint content
Published: 27 September 2016 in Hydrology and Earth System Sciences Discussions
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The Zambezi Basin is located in the semi-arid region of southern Africa and is one of the largest basins in Africa. The Upper Zambezi River Basin (UZRB) is sparsely gauged (only 11 rain gauges are currently accessible), and real-time rainfall estimates are not readily available. However, Satellite Precipitation Products (SPPs) may complement that information, thereby allowing for improved real-time forecasting of streamflows. In this study, three SPPs for the UZRB are bias-corrected and evaluated for use in real-time forecasting of daily streamflows: (1) CMORPH (Climate Prediction Center’s morphing technique), (2) PERSIANN (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks), and (3) TRMM-3B42RT (Tropical Rainfall Measuring Mission). Two approaches for bias correction (Quantile Mapping and a Principal Component-based technique) are used to perform Bias Correction (BC) for the daily SPPs; for reference data, the Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) was used. The two BC approaches were evaluated for the period 2001–2016. The bias-corrected SPPs were then used for real-time forecasting of streamflows at Katima Mulilo in the UZRB. Both BC approaches significantly improve the accuracy of the streamflow forecasts in the UZRB.

ACS Style

Rodrigo Valdés-Pineda; Eleonora M. C. Demaría; Juan B. Valdés; Sungwook Wi; Aleix Serrat-Capdevilla. Bias correction of daily satellite-based rainfall estimates for hydrologic forecasting in the Upper Zambezi, Africa. Hydrology and Earth System Sciences Discussions 2016, 2016, 1 -28.

AMA Style

Rodrigo Valdés-Pineda, Eleonora M. C. Demaría, Juan B. Valdés, Sungwook Wi, Aleix Serrat-Capdevilla. Bias correction of daily satellite-based rainfall estimates for hydrologic forecasting in the Upper Zambezi, Africa. Hydrology and Earth System Sciences Discussions. 2016; 2016 ():1-28.

Chicago/Turabian Style

Rodrigo Valdés-Pineda; Eleonora M. C. Demaría; Juan B. Valdés; Sungwook Wi; Aleix Serrat-Capdevilla. 2016. "Bias correction of daily satellite-based rainfall estimates for hydrologic forecasting in the Upper Zambezi, Africa." Hydrology and Earth System Sciences Discussions 2016, no. : 1-28.

Journal article
Published: 19 November 2015 in Stochastic Environmental Research and Risk Assessment
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The conventional approach to the frequency analysis of extreme precipitation is complicated by non-stationarity resulting from climate variability and change. This study utilized a non-stationary frequency analysis to better understand the time-varying behavior of short-duration (1-, 6-, 12-, and 24-h) precipitation extremes at 65 weather stations scattered across South Korea. Trends in precipitation extremes were diagnosed with respect to both annual maximum precipitation (AMP) and peaks-over-threshold (POT) extremes. Non-stationary generalized extreme value (GEV) and generalized Pareto distribution (GPD) models with model parameters made a linear function of time were applied to AMP and POT respectively. Trends detected using the Mann–Kendall test revealed that the stations showing an increasing trend in AMP extremes were concentrated in the mountainous areas (the northeast and southwest regions) of South Korea. Trend tests on POT extremes provided fairly different results, with a significantly reduced number of stations showing an increasing trend and with some stations showing a decreasing trend. For most of stations showing a statistically significant trend, non-stationary GEV and GPD models significantly outperformed their stationary counterparts, particularly for precipitation extremes with shorter durations. Due to a significant-increasing trend in the POT frequency found at a considerable number of stations (about 10 stations for each rainfall duration), the performance of modeling POT extremes was further improved with a non-homogeneous Poisson model. The large differences in design storm estimates between stationary and non-stationary models (design storm estimates from stationary models were significantly lower than the estimates of non-stationary models) demonstrated the challenges in relying on the stationary assumption when planning the design and management of water facilities. This study also highlighted the need of caution when quantifying design storms from POT and AMP extremes by showing a large discrepancy between the estimates from those two approaches.

ACS Style

Sungwook Wi; Juan B. Valdés; Scott Steinschneider; Tae-Woong Kim. Non-stationary frequency analysis of extreme precipitation in South Korea using peaks-over-threshold and annual maxima. Stochastic Environmental Research and Risk Assessment 2015, 30, 583 -606.

AMA Style

Sungwook Wi, Juan B. Valdés, Scott Steinschneider, Tae-Woong Kim. Non-stationary frequency analysis of extreme precipitation in South Korea using peaks-over-threshold and annual maxima. Stochastic Environmental Research and Risk Assessment. 2015; 30 (2):583-606.

Chicago/Turabian Style

Sungwook Wi; Juan B. Valdés; Scott Steinschneider; Tae-Woong Kim. 2015. "Non-stationary frequency analysis of extreme precipitation in South Korea using peaks-over-threshold and annual maxima." Stochastic Environmental Research and Risk Assessment 30, no. 2: 583-606.

Journal article
Published: 11 March 2014 in Hydrological Processes
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Most of meteorological stations in Chile register rainfall amounts once every 24 h. The creation of intensity–duration–frequency (IDF) curves requires continuous recorded data, and this insufficiency of proper instrumentation has resulted in a lack of IDF curves nationwide. The objective of this study is to further develop and evaluate the feasibility of a new method to estimate IDF curves in ungauged stations under Mediterranean climates of central Chile. A technique used to address this problem is the use of a storm index (SI), also known as the ‘K’ method, which allows the construction of IDF curves from stations with discontinuous data, by extrapolating data from stations with continuous records, as long as daily rainfall intensities for both stations differ by less than 2 mm h−1. To test the applicability of this method, SI values were calculated for 40 meteorological stations located throughout Central Chile (latitudes 30°S to 40°S). The extrapolated IDF curves were then compared with observed data, and the goodness of fit was determined. The results indicate that the storm index method can adequately estimate hourly IDF curve values for stations lacking of continuous rainfall data. Copyright © 2014 John Wiley & Sons, Ltd.

ACS Style

Roberto Pizarro; Rodrigo Valdés; Alejandro Abarza; Pablo Garcia-Chevesich. A simplified storm index method to extrapolate intensity-duration-frequency (IDF) curves for ungauged stations in central Chile. Hydrological Processes 2014, 29, 641 -652.

AMA Style

Roberto Pizarro, Rodrigo Valdés, Alejandro Abarza, Pablo Garcia-Chevesich. A simplified storm index method to extrapolate intensity-duration-frequency (IDF) curves for ungauged stations in central Chile. Hydrological Processes. 2014; 29 (5):641-652.

Chicago/Turabian Style

Roberto Pizarro; Rodrigo Valdés; Alejandro Abarza; Pablo Garcia-Chevesich. 2014. "A simplified storm index method to extrapolate intensity-duration-frequency (IDF) curves for ungauged stations in central Chile." Hydrological Processes 29, no. 5: 641-652.

Book chapter
Published: 28 January 2014 in Globalized Water
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Participatory water resources management and planning have become a main feature of water governance processes. A review of the evolution of decision support systems for water resources planning and management through today demonstrates that stakeholder participation through science-fed collaborative planning processes is an essential factor for integrative science to be perceived as credible, relevant, transparent, and thus acceptable in the public eye to inform and guide decision making. Two case studies from the American Southwest—the Rio Grande in New Mexico and the San Pedro in Arizona—illustrate how a strong scientific contribution that includes an integrated modeling approach can form the foundation for participatory planning processes and the collaborative development of decision support tools. Based on conflict resolution concepts, this approach will not only lead to agreed-upon management solutions, but also to a well informed and educated stakeholder community in the basin, ensuring a sustainable and resilient water governance system.

ACS Style

Aleix Serrat-Capdevila; Juan B. Valdés; Hoshin V. Gupta; Graciela Schneier-Madanes. Water Governance Tools: The Role of Science and Decision Support Systems in Participatory Management. Globalized Water 2014, 241 -259.

AMA Style

Aleix Serrat-Capdevila, Juan B. Valdés, Hoshin V. Gupta, Graciela Schneier-Madanes. Water Governance Tools: The Role of Science and Decision Support Systems in Participatory Management. Globalized Water. 2014; ():241-259.

Chicago/Turabian Style

Aleix Serrat-Capdevila; Juan B. Valdés; Hoshin V. Gupta; Graciela Schneier-Madanes. 2014. "Water Governance Tools: The Role of Science and Decision Support Systems in Participatory Management." Globalized Water , no. : 241-259.

Journal article
Published: 01 January 2014 in Open Journal of Modern Hydrology
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Accurate flood prediction is an important tool for risk management and hydraulic works design on a watershed scale. The objective of this study was to calibrate and validate 24 linear and non-linear regression models, using only upstream data to estimate real-time downstream flooding. Four critical downstream estimation points in the Mataquito and Maule river basins located in central Chile were selected to estimate peak flows using data from one, two, or three upstream stations. More than one thousand paper-based storm hydrographs were manually analyzed for rainfall events that occurred between 1999 and 2006, in order to determine the best models for predicting downstream peak flow. The Peak Flow Index (IQP) (defined as the quotient between upstream and downstream data) and the Transit Times (TT) between upstream and downstream points were also obtained and analyzed for each river basin. The Coefficients of Determination (R2), the Standard Error of the Estimate (SEE), and the Bland-Altman test (ACBA) were used to calibrate and validate the best selected model at each basin. Despite the high variability observed in peak flow data, the developed models were able to accurately estimate downstream peak flows using only upstream flow data.

ACS Style

Roberto Pizarro-Tapia; Rodrigo Valdés-Pineda; Claudio Olivares; Patricio A. González. Development of Upstream Data-Input Models to Estimate Downstream Peak Flow in Two Mediterranean River Basins of Chile. Open Journal of Modern Hydrology 2014, 04, 132 -143.

AMA Style

Roberto Pizarro-Tapia, Rodrigo Valdés-Pineda, Claudio Olivares, Patricio A. González. Development of Upstream Data-Input Models to Estimate Downstream Peak Flow in Two Mediterranean River Basins of Chile. Open Journal of Modern Hydrology. 2014; 04 (04):132-143.

Chicago/Turabian Style

Roberto Pizarro-Tapia; Rodrigo Valdés-Pineda; Claudio Olivares; Patricio A. González. 2014. "Development of Upstream Data-Input Models to Estimate Downstream Peak Flow in Two Mediterranean River Basins of Chile." Open Journal of Modern Hydrology 04, no. 04: 132-143.

Articles
Published: 01 June 2013 in International Journal of Water Resources Development
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The impact of climate change scenarios in the hydrology of the Verde River basin (Arizona) is analyzed using an ensemble of downscaled climate model results, SPI analysis, and two hydrologic models of different complexity. To assess model uncertainty, 47 ensemble members combining simulations from 16 global climate models and 3 emission scenarios were used to provide an uncertainty envelope in the hydrologic variables. The analysis shows that simple lumped models and more complex distributed runoff models can yield similar results. Results show that under all scenarios, the distribution functions of hydrologic states will shift towards lower values and droughts will progressively become more frequent, longer and more intense.

ACS Style

Aleix Serrat-Capdevila; Juan B. Valdes; Francina Dominguez; Seshadri Rajagopal. Characterizing the water extremes of the new century in the US South-west: a comprehensive assessment from state-of-the-art climate model projections. International Journal of Water Resources Development 2013, 29, 152 -171.

AMA Style

Aleix Serrat-Capdevila, Juan B. Valdes, Francina Dominguez, Seshadri Rajagopal. Characterizing the water extremes of the new century in the US South-west: a comprehensive assessment from state-of-the-art climate model projections. International Journal of Water Resources Development. 2013; 29 (2):152-171.

Chicago/Turabian Style

Aleix Serrat-Capdevila; Juan B. Valdes; Francina Dominguez; Seshadri Rajagopal. 2013. "Characterizing the water extremes of the new century in the US South-west: a comprehensive assessment from state-of-the-art climate model projections." International Journal of Water Resources Development 29, no. 2: 152-171.

Journal article
Published: 08 March 2011 in Journal of Hydrology
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This paper presents an approach to quantify evapotranspiration under changing climates, using field observations, theoretical evaporation models and meteorological predictions from global climate models. We analyzed evaporation and meteorological data from three riparian sites located in a semi-arid watershed in southern Arizona USA and found that the surface resistance to water vapor transport was closely related to the vapor pressure deficit. From this, we developed a relatively simple daily conductance model and included a growing season index to accurately replicate the onset and the end of the growing season. After the model was calibrated with observations from January 2003 to December 2007, it was used to predict daily evapotranspiration rates from 2000 to 2100 using Penman–Monteith equation and meteorological projections from the IPCC fourth assessment report climate model runs. Results indicate that atmospheric demand will be greater and lead to increased reference crop evaporation, but evapotranspiration rates at the studied field sites will remain largely unchanged due to stomatal regulation. However, the length of the growing season will increase leading to a greater annual riparian water use. These findings of increased riparian water use and atmospheric demand, likely affecting recharge processes, will lead to greater groundwater deficits and decreased streamflow and have important implications for water management in semi-arid regions.

ACS Style

Aleix Serrat-Capdevila; Russell Scott; W. James Shuttleworth; Juan B. Valdés. Estimating evapotranspiration under warmer climates: Insights from a semi-arid riparian system. Journal of Hydrology 2011, 399, 1 -11.

AMA Style

Aleix Serrat-Capdevila, Russell Scott, W. James Shuttleworth, Juan B. Valdés. Estimating evapotranspiration under warmer climates: Insights from a semi-arid riparian system. Journal of Hydrology. 2011; 399 (1-2):1-11.

Chicago/Turabian Style

Aleix Serrat-Capdevila; Russell Scott; W. James Shuttleworth; Juan B. Valdés. 2011. "Estimating evapotranspiration under warmer climates: Insights from a semi-arid riparian system." Journal of Hydrology 399, no. 1-2: 1-11.

Journal article
Published: 01 January 2009 in Ecology and Society
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ACS Style

Aleix Serrat-Capdevila; Anne Browning-Aiken; Kevin Lansey; Tim Finan; Juan B. Valdés. Increasing Social–Ecological Resilience by Placing Science at the Decision Table: the Role of the San Pedro Basin (Arizona) Decision-Support System Model. Ecology and Society 2009, 14, 1 .

AMA Style

Aleix Serrat-Capdevila, Anne Browning-Aiken, Kevin Lansey, Tim Finan, Juan B. Valdés. Increasing Social–Ecological Resilience by Placing Science at the Decision Table: the Role of the San Pedro Basin (Arizona) Decision-Support System Model. Ecology and Society. 2009; 14 (1):1.

Chicago/Turabian Style

Aleix Serrat-Capdevila; Anne Browning-Aiken; Kevin Lansey; Tim Finan; Juan B. Valdés. 2009. "Increasing Social–Ecological Resilience by Placing Science at the Decision Table: the Role of the San Pedro Basin (Arizona) Decision-Support System Model." Ecology and Society 14, no. 1: 1.