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Raphaël A. H. Kilsdonk, Anouk Bomers and Kathelijne M. Wijnberg
Extreme precipitation events can lead to the exceedance of the sewer capacity in urban areas. To mitigate the effects of urban flooding, a model is required that is capable of predicting flood timing and volumes based on precipitation forecasts while com...
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Ying Li and Samuel N. Stechmann
Intuitively, one would expect a more skillful forecast if predicting weather averaged over one week instead of the weather averaged over one day, and similarly for different spatial averaging areas. However, there are few systematic studies of averaging ...
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Guoqi Qian, Antoinette Tordesillas and Hangfei Zheng
High-dimensional, non-stationary vector time-series data are often seen in ground motion monitoring of geo-hazard events, e.g., landslides. For timely and reliable forecasts from such data, we developed a new statistical approach based on two advanced ec...
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Zhehao Yang, Weizeng Shao, Yuyi Hu, Qiyan Ji, Huan Li and Wei Zhou
Marine oil spills occur suddenly and pose a serious threat to ecosystems in coastal waters. Oil spills continuously affect the ocean environment for years. In this study, the oil spill caused by the accident of the Sanchi ship (2018) in the East China Se...
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Dan Hilton, Mark Davidson and Tim Scott
With sea level rise accelerating and coastal populations increasing, the requirement of coastal managers and scientists to produce accurate predictions of shoreline change is becoming ever more urgent. Waves are the primary driver of coastal evolution, a...
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Mayu Inoue, Yuichiro Tanioka and Yusuke Yamanaka
A dense cabled observation network, called the seafloor observation network for earthquakes and tsunami along the Japan Trench (S-net), was installed in Japan. This study aimed to develop a near-real time tsunami source estimation technique using the oce...
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Saskia Gindraux and Daniel Farinotti
Runoff predictions are affected by several uncertainties. Among the most important ones is the uncertainty in meteorological forcing. We investigated the skill propagation of meteorological to runoff forecasts in an idealized experiment using synthetic d...
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Gökçen Uysal, Rodolfo Alvarado-Montero, Dirk Schwanenberg and Aynur Sensoy
Optimal control of reservoirs is a challenging task due to conflicting objectives, complex system structure, and uncertainties in the system. Real time control decisions suffer from streamflow forecast uncertainty. This study aims to use Probabilistic St...
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Ugo Cortesi, Simone Ceccherini, Samuele Del Bianco, Marco Gai, Cecilia Tirelli, Nicola Zoppetti, Flavio Barbara, Marc Bonazountas, Argyros Argyridis, André Bós, Edo Loenen, Antti Arola, Jukka Kujanpää, Antti Lipponen, William Wandji Nyamsi, Ronald Van der A, Jacob Van Peet, Olaf Tuinder, Vincenzo Farruggia, Andrea Masini, Emilio Simeone, Rossana Dragani, Arno Keppens, Jean-Christopher Lambert, Michel Van Roozendael, Christophe Lerot, Huan Yu and Koen Verberne
With the launch of the Sentinel-5 Precursor (S-5P, lifted-off on 13 October 2017), Sentinel-4 (S-4) and Sentinel-5 (S-5)(from 2021 and 2023 onwards, respectively) operational missions of the ESA/EU Copernicus program, a massive amount of atmospheric comp...
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Lisbet Sneftrup Hansen, Morten Borup, Arne Møller and Peter Steen Mikkelsen
There is a growing requirement to generate more precise model simulations and forecasts of flows in urban drainage systems in both offline and online situations. Data assimilation tools are hence needed to make it possible to include system measurements ...
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