Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Vera Thiemig"'
Autor:
Elia Cantoni, Yves Tramblay, Stefania Grimaldi, Peter Salamon, Hamouda Dakhlaoui, Alain Dezetter, Vera Thiemig
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 42, Iss , Pp 101169- (2022)
Study region: This study is focused on 6 catchments in Tunisia, in North Africa, under a semi-arid climate where daily river discharge and precipitation observations are available between 1992 and 2006. Study focus: The distributed hydrological model
Externí odkaz:
https://doaj.org/article/43d9a8c6e9414d5d9ca742d82c024c8f
Autor:
Vera Thiemig, Goncalo N. Gomes, Jon O. Skøien, Markus Ziese, Armin Rauthe-Schöch, Elke Rustemeier, Kira Rehfeldt, Jakub P. Walawender, Christine Kolbe, Damien Pichon, Christoph Schweim, Peter Salamon
Publikováno v:
Earth System Science Data. 14:3249-3272
In this paper we present EMO-5 (“European Meteorological Observations”, spatial resolution of 5 km), a European high-resolution, (sub-)daily, multi-variable meteorological dataset built on historical and real-time observations obtained by integra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d973dfd00e68f19215a854c1f45510d
https://doi.org/10.5194/essd-14-3249-2022
https://doi.org/10.5194/essd-14-3249-2022
Autor:
Markus Ziese, Damien Pichon, Jon Olav Skøien, Armin Rauthe-Schöch, Kira Rehfeldt, Jakub P. Walawender, Peter Salamon, Christine Kolbe, Christoph Schweim, Vera Thiemig, Goncalo N. Gomes, Elke Rustemeier
In this paper we present EMO-51, a European high-resolution, (sub-)daily, multi-variable meteorological data set built on historical and real-time observations obtained by integrating data from 18,964 ground weather stations, four high-resolution reg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fde8a83eb0e11de484463718eb89707
https://doi.org/10.5194/essd-2021-339
https://doi.org/10.5194/essd-2021-339
Maghreb countries, like the rest of the Mediterranean region, are vulnerable to flood events which often cause disastrous damages and a large number of fatalities. In Europe, this problematic has been addressed by the implementation of the Copernicus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ea0831a200d5f47fbb2bbe805b3a8a6
https://doi.org/10.5194/egusphere-egu21-5446
https://doi.org/10.5194/egusphere-egu21-5446
Autor:
Peter Salamon, Markus Ziese, Vera Thiemig, Christoph Schweim, Jon Olav Skøien, Damien Pichon, Armin Rauthe-Schöch, Goncalo N. Gomes, Kira Rehfeldt
We present EMO-5, a Pan-European high-resolution (5 km), (sub-)daily, multi-variable meteorological data set especially developed to the needs of an operational, pan-European hydrological service (EFAS; European Flood Awareness System). The data set
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccde625245ee836fd084b9742da2b506
https://doi.org/10.5194/egusphere-egu2020-21551
https://doi.org/10.5194/egusphere-egu2020-21551
Publikováno v:
Hydrology and Earth System Sciences, Vol 19, Iss 8, Pp 3365-3385 (2015)
The African Flood Forecasting System (AFFS) is a probabilistic flood forecast system for medium- to large-scale African river basins, with lead times of up to 15 days. The key components are the hydrological model LISFLOOD, the African GIS database,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52bbaf9df7217410c94ea056af069211
https://www.hydrol-earth-syst-sci.net/19/3365/2015/
https://www.hydrol-earth-syst-sci.net/19/3365/2015/
Publikováno v:
Journal of Hydrology. 499:324-338
Summary How useful are satellite-based rainfall estimates (SRFE) as forcing data for hydrological applications? Which SRFE should be favoured for hydrological modelling? What could researchers do to increase the performance of SRFE-driven hydrologica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95ce60305555ca1d2396b9dbafc52888
https://doi.org/10.1016/j.jhydrol.2013.07.012
https://doi.org/10.1016/j.jhydrol.2013.07.012
Publikováno v:
Hydrological Sciences Journal
Hydrological Sciences Journal, Taylor & Francis, 2016, 61 (14), pp.2509-2519. ⟨10.1080/02626667.2016.1154149⟩
Hydrological Sciences Journal, Taylor & Francis, 2016, 61 (14), pp.2509-2519. ⟨10.1080/02626667.2016.1154149⟩
Several satellite-based precipitation estimates are becoming available at a global scale, providing new possibilities for water resources modelling, particularly in data-sparse regions and developing countries. This work provides a first validation o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e65f341a3c90297f053f126dad5d47e
https://hal.umontpellier.fr/hal-01871878
https://hal.umontpellier.fr/hal-01871878