Vote for your favorite mineral in #MinCup25! - Taenite vs. Nontronite
It's a mineral found mostly in the farthest reaches of space vs one so common an exhaustive list of localities is nigh impossible as alloy #taenite faces off against clay #nontronite.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Bazile, Rachel, Boucher, Marie-Amélie, Perreault, Luc, Leconte, Robert (2017) Verification of ECMWF System 4 for seasonal hydrological forecasting in a northern climate. Hydrology and Earth System Sciences, 21 (11) 5747-5762 doi:10.5194/hess-21-5747-2017

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleVerification of ECMWF System 4 for seasonal hydrological forecasting in a northern climate
JournalHydrology and Earth System Sciences
AuthorsBazile, RachelAuthor
Boucher, Marie-AmélieAuthor
Perreault, LucAuthor
Leconte, RobertAuthor
Year2017 (November 22)Volume21
Issue11
PublisherCopernicus GmbH
DOIdoi:10.5194/hess-21-5747-2017Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID15057730Long-form Identifiermindat:1:5:15057730:2
GUID0
Full ReferenceBazile, Rachel, Boucher, Marie-Amélie, Perreault, Luc, Leconte, Robert (2017) Verification of ECMWF System 4 for seasonal hydrological forecasting in a northern climate. Hydrology and Earth System Sciences, 21 (11) 5747-5762 doi:10.5194/hess-21-5747-2017
Plain TextBazile, Rachel, Boucher, Marie-Amélie, Perreault, Luc, Leconte, Robert (2017) Verification of ECMWF System 4 for seasonal hydrological forecasting in a northern climate. Hydrology and Earth System Sciences, 21 (11) 5747-5762 doi:10.5194/hess-21-5747-2017
In(2017, November) Hydrology and Earth System Sciences Vol. 21 (11) Copernicus GmbH

See Also

These are possibly similar items as determined by title/reference text matching only.

Yuan, Xing, Zhang, Miao, Wang, Linying, Zhou, Tian (2017) Understanding and seasonal forecasting of hydrological drought in the Anthropocene. Hydrology and Earth System Sciences, 21 (11) 5477-5492 doi:10.5194/hess-21-5477-2017
Matte, Simon, Boucher, Marie-Amélie, Boucher, Vincent, Fortier Filion, Thomas-Charles (2017) Moving beyond the cost–loss ratio: economic assessment of streamflow forecasts for a risk-averse decision maker. Hydrology and Earth System Sciences, 21 (6) 2967-2986 doi:10.5194/hess-21-2967-2017
Thiboult, Antoine, Anctil, François, Boucher, Marie-Amélie (2016) Accounting for three sources of uncertainty in ensemble hydrological forecasting. Hydrology and Earth System Sciences, 20 (5) 1809-1825 doi:10.5194/hess-20-1809-2016
Seibert, Mathias, Merz, Bruno, Apel, Heiko (2017) Seasonal forecasting of hydrological drought in the Limpopo Basin: a comparison of statistical methods. Hydrology and Earth System Sciences, 21 (3) 1611-1629 doi:10.5194/hess-21-1611-2017
Candogan Yossef, Naze, van Beek, Rens, Weerts, Albrecht, Winsemius, Hessel, Bierkens, Marc F. P. (2017) Skill of a global forecasting system in seasonal ensemble streamflow prediction. Hydrology and Earth System Sciences, 21 (8) 4103-4114 doi:10.5194/hess-21-4103-2017
Bennett, James C., Wang, Quan J., Robertson, David E., Schepen, Andrew, Li, Ming, Michael, Kelvin (2017) Assessment of an ensemble seasonal streamflow forecasting system for Australia. Hydrology and Earth System Sciences, 21 (12) 6007-6030 doi:10.5194/hess-21-6007-2017
Wetter, Oliver (2017) The potential of historical hydrology in Switzerland. Hydrology and Earth System Sciences, 21 (11) 5781-5803 doi:10.5194/hess-21-5781-2017
Crochemore, Louise, Ramos, Maria-Helena, Pappenberger, Florian, Perrin, Charles (2017) Seasonal streamflow forecasting by conditioning climatology with precipitation indices. Hydrology and Earth System Sciences, 21 (3) 1573-1591 doi:10.5194/hess-21-1573-2017
ten Veldhuis, Marie-Claire, Schleiss, Marc (2017) Statistical analysis of hydrological response in urbanising catchments based on adaptive sampling using inter-amount times. Hydrology and Earth System Sciences, 21 (4) 1991-2013 doi:10.5194/hess-21-1991-2017
Bell, Victoria A., Davies, Helen N., Kay, Alison L., Brookshaw, Anca, Scaife, Adam A. (2017) A national-scale seasonal hydrological forecast system: development and evaluation over Britain. Hydrology and Earth System Sciences, 21 (9) 4681-4691 doi:10.5194/hess-21-4681-2017
Chen, Yangbo, Li, Ji, Wang, Huanyu, Qin, Jianming, Dong, Liming (2017) Large-watershed flood forecasting with high-resolution distributed hydrological model. Hydrology and Earth System Sciences, 21 (2) 735-749 doi:10.5194/hess-21-735-2017
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 15, 2025 22:03:52
Go to top of page