Statistical processing of forecasts for hydrological ensemble prediction: a comparative study of different bias correction strategies

Autor: Joël Gailhard, Maria-Helena Ramos, Rémy Garçon, I. Zalachori, Thibault Mathevet

Publikováno v: Advances in Science & Research
Advances in Science & Research, 2012, 8, p. 135-p. 141. ⟨10.5194/asr-8-135-2012⟩
Advances in Science and Research, Vol 8, Pp 135-141 (2012)

The aim of this paper is to investigate the use of statistical correction techniques in hydrological ensemble prediction. Ensemble weather forecasts (precipitation and temperature) are used as forcing variables to a hydrologic forecasting model for t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e3307993f16a65602a3622ee841cf5c
https://www.adv-sci-res.net/8/135/2012/

Snow multivariable data assimilation for hydrological predictions in Alpine sites

Autor: Piazzi, G., Thirel, G., Campo, L., Gabellani, S., Stevenin, H.

Publikováno v: 19th EGU General Assembly, EGU2017, proceedings from the conference held 23-28 April, 2017 in Vienna
EGU General Assembly 2017
EGU General Assembly 2017, Apr 2017, Vienna, Austria. 18 p
Geophysical Research Abstracts
EGU General Assembly 2017, Apr 2017, Vienna, Austria. pp.1

International audience; This study presents SMASH (Snow Multidata Assimilation System for Hydrology), a multi-layer snow dynamic model strengthened by a multivariable DA framework for hydrological purposes. The model is physically based on mass and e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5c66936477c511c654ce010c8103ffdb
https://hal.archives-ouvertes.fr/hal-01585576

On the impact of bias correcting and conditioning precipitation inputs on seasonal streamflow forecast quality

Autor: Crochemore, Louise, Ramos, M.H., Pappenberger, F., Perrin, C.

Publikováno v: EGU General Assembly 2017
EGU General Assembly 2017, Apr 2017, Vienna, Austria. Geophysical Research Abstracts, 19, pp.1, 2017

International audience; Skillful seasonal streamflow forecasts are increasingly requested for decision-making in areas such as drought risk assessment or reservoir management. Meteorological forcing can be the major source of uncertainty in seasonal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7927996a6f710267ffc8c307a800bc49
https://hal.inrae.fr/hal-02606262

Hydrological-oriented verification for ensemble forecasting systems: the case of the PIT diagram

Autor: Bourgin, François, Ramos, Maria-Helena, Perrin, Charles, Renard, Benjamin

Publikováno v: EGU2017, 19th EGU General Assembly
EGU2017, 19th EGU General Assembly, Apr 2017, VIENNE, Austria. 1p
EGU General Assembly 2017
EGU General Assembly 2017, Apr 2017, Vienne, Austria

EGU2017, 19th EGU General Assembly , VIENNE, AUTRICHE, 23-/04/2017 - 28/04/2017; The most common way to communicate uncertainty in streamflow predictions for water resources and risk management is through the use of ensemble scenarios or prediction i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7c92a9652819d42b337707e9d0eb0a8b
https://hal.archives-ouvertes.fr/hal-01643071

Hydrologic ensemble prediction: enhancing science, operation and application through HEPEX

Autor: Wetterhall, F., Ramos, M.H., Wang, Q., Wood, A.

Publikováno v: EGU General Assembly 2016
EGU General Assembly 2016, Apr 2016, Vienna, Austria. Geophysical Research Abstracts, 18, pp.1, 2016

International audience; HEPEX (Hydrologic Ensemble Prediction Experiment) was established in March 2004 at a workshop hosted by the European Centre for Medium Range Weather Forecasts (ECMWF), co-sponsored by the US National Weather Service (NWS) and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ddbfd2f552e25d037c05fdc09b3cd431
https://irsteadoc.irstea.fr/cemoa/PUB00048397