- document
-
Diaz, Vitali (author), Corzo Perez, Gerald A. (author), Van Lanen, Henny A.J. (author), Solomatine, D.P. (author), Varouchakis, Emmanouil A. (author)Drought is a complex natural phenomenon. The description of the way in which drought changes (moves) in space may help to acquire knowledge on its drivers and processes to improve its monitoring and prediction. This research presents the application of an approach to characterise the dynamics of drought. Tracks, severity, duration, as well as...journal article 2020
- document
-
Laverde Barajas, M.A. (author), Corzo Perez, G. A. (author), Chishtie, F. (author), Poortinga, A. (author), Uijlenhoet, R. (author), Solomatine, D.P. (author)A spatiotemporal object-based rainfall analysis method is used to evaluate the hydrological response of two systematic satellite error sources for storm estimation in the Capivari catchment, Brazil. This method is called Spatiotemporal Contiguous Object-based Rainfall Analysis (ST-CORA) specifically evaluates the error structure of satellite...journal article 2020
- document
-
Laverde Barajas, M.A. (author), Corzo, Gerald A. (author), Poortinga, Ate (author), Chishtie, Farrukh (author), Meechaiya, Chinaporn (author), Jayasinghe, Susantha (author), Towashiraporn, Peeranan (author), Uijlenhoet, R. (author), Solomatine, D.P. (author)Advances in near real-time rainstorm prediction using remote sensing have offered important opportunities for effective disaster management. However, this information is subject to several sources of systematic errors that need to be corrected. Temporal and spatial characteristics of both satellite and in-situ data can be combined to enhance...journal article 2020
- document
-
Wang, Anqi (author), Solomatine, D.P. (author)Currently, practically no modeling study is expected to be carried out without some form of Sensitivity Analysis (SA). At the same time, there is a large number of various methods and it is not always easy for practitioners to choose one. The aim of this paper is to briefly review main classes of SA methods, and to present the results of the...journal article 2019
- document
-
Diaz, Vitali (author), Corzo, Gerald A. (author), Van Lanen, Henny A.J. (author), Solomatine, D.P. (author)Understanding, characterizing, and predicting drought is vital for the reduction of its consequences. In the last few decades, many studies have moved drought analysis from the conventional lumped approach to a more spatiotemporal analysis. Two main developments have motivated this: one is global data availability and the other is the number of...book chapter 2019
- document
-
Le, Hung Manh (author), Corzo, Gerald A. (author), Medina, Vicente (author), Diaz, Vitali (author), Nguyen, Bang Luong (author), Solomatine, D.P. (author)Drought indicators are of critical importance in characterization and forecasting. The use of the Standardized Precipitation Index (SPI) has increasingly become the main tool for drought analysis; however, the index lacks hydrological information useful as a proxy for other types of droughts. This study aims at evaluating the SPI against the...book chapter 2019
- document
-
Zheng, Feifei (author), Tao, Ruoling (author), Maier, Holger R. (author), See, Linda (author), Savic, Dragan (author), Zhang, Tuqiao (author), Chen, Qiuwen (author), Assumpção, Thaine H. (author), Solomatine, D.P. (author)Data are essential in all areas of geophysics. They are used to better understand and manage systems, either directly or via models. Given the complexity and spatiotemporal variability of geophysical systems (e.g., precipitation), a lack of sufficient data is a perennial problem, which is exacerbated by various drivers, such as climate change...review 2019
- document
-
Marquez Calvo, O.O. (author), Solomatine, D.P. (author)This paper considers the problem of robust optimization, and presents the technique called Robust Optimization and Probabilistic Analysis of Robustness (ROPAR). It has been developed for finding robust optimum solutions of a particular class in model-based multi-objective optimization (MOO) problems (i.e. when the objective function is not known...journal article 2019
- document
-
Mastrantonas, Nikolaos (author), Bhattacharya, Biswa (author), Shibuo, Yoshihiro (author), Rasmy, Mohamed (author), Espinoza-Dávalos, Gonzalo (author), Solomatine, D.P. (author)After the launch of the Global Precipitation Measurement (GPM) mission in 2014, many satellite precipitation products (SPPs) are available at finer spatiotemporal resolution and/or with reduced latency, potentially increasing the applicability of SPPs for near-real-time (NRT) applications. Therefore, there is a need to evaluate the NRT SPPs...journal article 2019
- document
-
Amaranto, A. (author), Munoz-Arriola, F. (author), Solomatine, D.P. (author), Corzo, G. (author)The aim of this paper is to improve semiseasonal forecast of groundwater availability in response to climate variables, surface water availability, groundwater level variations, and human water management using a two-step data-driven modeling approach. First, we implement an ensemble of artificial neural networks (ANNs) for the 300 wells...journal article 2019
- document
-
Mazzoleni, M. (author), Amaranto, A. (author), Solomatine, D.P. (author)This study aims at proposing novel approaches for integrating qualitative flow observations in a lumped hydrologic routing model and assessing their usefulness for improving flood estimation. Routing is based on a three-parameter Muskingum model used to propagate streamflow in five different rivers in the United States. Qualitative flow...journal article 2019
- document
-
Casson, David R. (author), Werner, Micha (author), Weerts, Albrecht (author), Solomatine, D.P. (author)Hydrological modelling in the Canadian sub-Arctic is hindered by sparse meteorological and snowpack data. The snow water equivalent (SWE) of the winter snowpack is a key predictor and driver of spring flow, but the use of SWE data in hydrological applications is limited due to high uncertainty. Global re-analysis datasets that provide gridded...journal article 2018
- document
-
Gelfan, Alexander (author), Moreydo, Vsevolod (author), Motovilov, Yury (author), Solomatine, D.P. (author)A long-term forecasting ensemble methodology, applied to water inflows into the Cheboksary Reservoir (Russia), is presented. The methodology is based on a version of the semi-distributed hydrological model ECOMAG (ECOlogical Model for Applied Geophysics) that allows for the calculation of an ensemble of inflow hydrographs using two different...journal article 2018
- document
-
Bayissa, Y.A. (author), Maskey, Shreedhar (author), Tadesse, Tsegaye (author), van Andel, Schalk Jan (author), Moges, Semu (author), van Griensven, Ann (author), Solomatine, D.P. (author)The Upper Blue Nile (UBN) basin is less-explored in terms of drought studies as compared to other parts of Ethiopia and lacks a basin-specific drought monitoring system. This study compares six drought indices: Standardized Precipitation Index (SPI), Standardized Precipitation Evaporation Index (SPEI), Evapotranspiration Deficit Index (ETDI),...journal article 2018
- document
-
Assumpção, Thaine H. (author), Popescu, Ioana (author), Jonoski, Andreja (author), Solomatine, D.P. (author)Citizen contributions to science have been successfully implemented in many fields, and water resources is one of them. Through citizens, it is possible to collect data and obtain a more integrated decision-making process. Specifically, data scarcity has always been an issue in flood modelling, which has been addressed in the last decades by...journal article 2018
- document
-
Mazzoleni, M. (author), Juliette Cortes Arevalo, Vivian (author), Wehn, Uta (author), Alfonso, Leonardo (author), Norbiato, Daniele (author), Monego, Martina (author), Ferri, Michele (author), Solomatine, D.P. (author)To improve hydrological predictions, real-time measurements derived from traditional physical sensors are integrated within mathematic models. Recently, traditional sensors are being complemented with crowdsourced data (social sensors). Although measurements from social sensors can be low cost and more spatially distributed, other factors like...journal article 2018
- document
-
Laverde Barajas, M.A. (author), Corzo Perez, G. A. (author), Dalfré Filho, J. G. (author), Solomatine, D.P. (author)This study evaluates the performance of four Near Real-Time (NRT) satellite rainfall products in estimating the spatiotemporal characteristics of different extreme rainfall events in a subtropical catchment in south-eastern Brazil. The Climate Prediction Centre Morphing algorithm (CMORPH), Tropical Rainfall Measuring Mission, Multisatellite...journal article 2018
- document
-
Wani, Omar (author), Beckers, Joost V.L. (author), Weerts, Albrecht H. (author), Solomatine, D.P. (author)A non-parametric method is applied to quantify residual uncertainty in hydrologic streamflow forecasting. This method acts as a post-processor on deterministic model forecasts and generates a residual uncertainty distribution. Based on instance-based learning, it uses a k nearest-neighbour search for similar historical hydrometeorological...journal article 2017
- document
-
Chacon Hurtado, J.C. (author), Alfonso, Leonardo (author), Solomatine, D.P. (author)Sensors and sensor networks play an important role in decision-making related to water quality, operational streamflow forecasting, flood early warning systems, and other areas. In this paper we review a number of existing applications and analyse a variety of evaluation and design procedures for sensor networks with respect to various...journal article 2017
- document
-
Mazzoleni, M. (author), Verlaan, M. (author), Alfonso, Leonardo (author), Monego, Martina (author), Norbiato, D (author), Ferri, M (author), Solomatine, D.P. (author)Monitoring stations have been used for decades to properly measure hydrological variables and better predict floods. To this end, methods to incorporate these observations into mathematical water models have also been developed. Besides, in recent years, the continued technological advances, in combination with the growing inclusion of...journal article 2017