Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Alban De Lavenne"'
Autor:
Paul Royer-Gaspard, François Bourgin, Charles Perrin, Vazken Andréassian, Alban De Lavenne, Guillaume Thirel, François Tilmant
Publikováno v:
LHB Hydroscience Journal (2024)
An hourly hydrological forecasting model (GRP), used for flood forecasting in France, has been enhanced by developing a semi-distributed version (GRPS). This new model addresses some limitations of the original lumped approach by integrating flow obs
Externí odkaz:
https://doaj.org/article/9d965f6525b64432bb7144d76bceecbb
Autor:
Catherine Ottlé, Anthony Bernus, Thomas Verbeke, Karine Pétrus, Zun Yin, Sylvain Biancamaria, Anne Jost, Damien Desroches, Claire Pottier, Charles Perrin, Alban de Lavenne, Nicolas Flipo, Agnès Rivière
Publikováno v:
Remote Sensing, Vol 12, Iss 18, p 2911 (2020)
The Surface Water and Ocean Topography (SWOT) space mission will map surface area and water level changes in lakes at the global scale. Such new data are of great interest to better understand and model lake dynamics as well as to improve water manag
Externí odkaz:
https://doaj.org/article/027c80ebd8684771baae8fbb0e8cec47
Models based on StorAge Selection (SAS) functions are useful tools for understanding of factors controlling transit time distribution (TTD) and catchment-scale solute export. SAS functions describe the sampling of different ages in catchment storage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b64280fca8f7883cbf9462ed8af1c27b
https://doi.org/10.5194/egusphere-egu23-14684
https://doi.org/10.5194/egusphere-egu23-14684
While hydrological models aim to represent the hydrological behaviour of catchments, many of them have been streamlined on the exclusive basis of streamflow simulation performance, i.e. among the possible parameter sets, the 'optimal' is the one whic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7764c225e2bddfced07b5c3454e74377
https://doi.org/10.5194/egusphere-egu23-13397
https://doi.org/10.5194/egusphere-egu23-13397
Autor:
Alban de Lavenne, Göran Lindström, Johan Strömqvist, Charlotta Pers, Alena Bartosova, Berit Arheimer
Publikováno v:
Hydrological Processes. 36
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5be9816c1e77ccf8bf9ab27bd7b04c29
https://doi.org/10.1002/hyp.14767
https://doi.org/10.1002/hyp.14767
This R package aims to technically bring together different modelling tools for the estimation of streamflow time series of ungauged outlets. It allows implementing a spatial interpolation of streamflow of neighbouring gauged basins using a geomorpho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64bddd87ee22e7e6039c1001e72aff8f
https://doi.org/10.5194/iahs2022-347
https://doi.org/10.5194/iahs2022-347
In our search for emergent catchment-scale hydrological laws, we discuss here how a class of widely-used water-balance formulas (Turc-Mezentsev and Tixeront-Fu) were conceived by their authors more than 60 years ago. Because these water balance formu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09f8aa5072d8c20873be35e1b5ed04db
https://doi.org/10.5194/iahs2022-692
https://doi.org/10.5194/iahs2022-692
Semi-distributed hydrological models have the potential to improve the efficiency of flood forecasting chains. Such models take into account the spatial distribution of both meteorological forcings and soil moisture states to predict streamflow along
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ce1a190fe0164a31249a9ccfa2fbebf
https://doi.org/10.5194/iahs2022-339
https://doi.org/10.5194/iahs2022-339
A consolidated geomorphology-based approach for discharge Prediction in Ungauged Basins (PUB) through deconvolution of discharge signals from gauged donor catchments, their transposition and their convolution towards target outlets, has been made ava
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83fa35445218a2be1b973d6dce700dfd
https://doi.org/10.5194/iahs2022-473
https://doi.org/10.5194/iahs2022-473
Continental and global dynamic hydrological models have emerged recently as tools for e.g. flood forecasting, large-scale climate impact analyses, and estimation of time-dynamic water fluxes into sea basins. One such tool is a dynamic process-based r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf76a317f6104bfce0f4b20695adb84a
https://doi.org/10.5194/iahs2022-155
https://doi.org/10.5194/iahs2022-155