Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Klaas-Jan Van Heeringen"'
Autor:
Jing Deng, Anaïs Couasnon, Ruben Dahm, Markus Hrachowitz, Klaas-Jan van Heeringen, Hans Korving, Albrecht Weerts, Riccardo Taormina
Publikováno v:
Frontiers in Water, Vol 5 (2024)
This study focuses on exploring the potential of using Long Short-Term Memory networks (LSTMs) for low-flow forecasting for the Rhine River at Lobith on a daily scale with lead times up to 46 days ahead. A novel LSTM-based model architecture is desig
Externí odkaz:
https://doaj.org/article/edb9e10d27a64795a06f7a2641967c18
Publikováno v:
Environmental Research Letters, Vol 10, Iss 3, p 035001 (2015)
Hydrological extremes in coastal areas in the Netherlands often result from a combination of anomalous (but not necessarily extreme) conditions: storm surges preventing the ability to discharge water to the open sea, and local precipitation generatin
Externí odkaz:
https://doaj.org/article/4d01c67b7e98425e8c79250fae3f8fee
Autor:
Ruben Imhoff, Athanasios Tsiokanos, Jerom Aerts, Lesley De Cruz, Claudia Brauer, Klaas-Jan van Heeringen, Albrecht Weerts, Remko Uijlenhoet
Flash flood early warning requires accurate rainfall forecasts with a high spatial and temporal resolution. As the first few hours ahead are already not sufficiently well captured by the rainfall forecasts of numerical weather prediction (NWP) models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11b85a71f672f4ac10562efd48ea4f9e
https://biblio.vub.ac.be/vubir/seamless-rainfall-and-discharge-forecasting-using-a-scaledependent-blending-of-ensemble-rainfall-nowcasts-and-nwp(bd2b9c29-5f88-4f19-b15e-0fc4fa3ccac3).html
https://biblio.vub.ac.be/vubir/seamless-rainfall-and-discharge-forecasting-using-a-scaledependent-blending-of-ensemble-rainfall-nowcasts-and-nwp(bd2b9c29-5f88-4f19-b15e-0fc4fa3ccac3).html
Autor:
Ruben O. Imhoff, Lesley De Cruz, Wout Dewettinck, Claudia C. Brauer, Remko Uijlenhoet, Klaas‐Jan van Heeringen, Carlos Velasco‐Forero, Daniele Nerini, Michiel Van Ginderachter, Albrecht H. Weerts
Publikováno v:
Royal Meteorological Society. Quarterly Journal (online), 149(753)
Quarterly Journal of the Royal Meteorological Society
Quarterly Journal of the Royal Meteorological Society
Flash flood early warning requires accurate rainfall forecasts with a high spatial and temporal resolution. As the first few hours ahead are already not sufficiently well captured by the rainfall forecasts of numerical weather prediction (NWP) models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::caf493515aa16d231b2a8495e260f171
https://doi.org/10.1002/qj.4461
https://doi.org/10.1002/qj.4461
Last July, the Ardennes/Eifel regions and the wider Moselle, Meuse and Rhine basins were hit by severe flooding. Large precipitation depths were forecast as of the weekend prior to the flooding, some 5 days in advance. Post the event, however, it tur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8789b7cf9b5fcb6a2ce107a100464a81
https://doi.org/10.5194/ems2022-44
https://doi.org/10.5194/ems2022-44
Autor:
Ruben Imhoff, Lesley De Cruz, Wout Dewettinck, Carlos Velasco-Forero, Daniele Nerini, Edouard Goudenhoofdt, Claudia Brauer, Klaas-Jan van Heeringen, Remko Uijlenhoet, Albrecht Weerts
Radar rainfall nowcasting, an observation-based rainfall forecasting technique that statistically extrapolates current observations into the future, is increasingly used for short-term forecasting (A recent development in nowcasting is the transition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::063c8345a9b1b0edff9633974b44449c
https://doi.org/10.5194/egusphere-egu22-7026
https://doi.org/10.5194/egusphere-egu22-7026
To assess the potential of radar rainfall nowcasting for early warning, nowcasts for 659 events were used to construct discharge forecasts for 12 Dutch catchments. Four open-source nowcasting algor...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ed0516dc5d76cb7b010926e3df0816b
https://doi.org/10.1002/essoar.10508734.1
https://doi.org/10.1002/essoar.10508734.1
Autor:
Teresa Piovesan, Bernhard Becker, Klaas-Jan van Heeringen, Julia Rauw, Jesse VanderWees, Ivo Miltenburg, Matthijs den Toom, Jorn Baayen
Publikováno v:
IFAC-PapersOnLine. 52:73-80
This paper presents a new class of optimization algorithms for nonlinear hydraulic models of water systems, the so-called continuation methods. Solution stability is singled out as an necessary condition for real-life deployment of nonlinear model pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf345b42957c79db82aac1d906675ece
https://doi.org/10.1016/j.ifacol.2019.11.012
https://doi.org/10.1016/j.ifacol.2019.11.012
Autor:
Aart Overeem, Hidde Leijnse, Klaas-Jan van Heeringen, Albrecht Weerts, C. C. Brauer, Ruben Imhoff, Remko Uijlenhoet
Most radar quantitative precipitation estimation (QPE) products systematically deviate from the true rainfall amount. This makes radar QPE adjustments unavoidable for operational use in hydro-meteorological (forecasting) models. Most correction metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21e45334fece32c01555c62377eda6ec
https://doi.org/10.5194/egusphere-egu21-6127
https://doi.org/10.5194/egusphere-egu21-6127
Supplementary material to 'A climatological benchmark for operational radar rainfall bias reduction'
Autor:
Ruben Imhoff, Claudia Brauer, Klaas-Jan van Heeringen, Hidde Leijnse, Aart Overeem, Albrecht Weerts, Remko Uijlenhoet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b80f51d4380306dc9b63ea3784c9c0ae
https://doi.org/10.5194/hess-2021-105-supplement
https://doi.org/10.5194/hess-2021-105-supplement