Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Patrick Moll"'
Autor:
Vivien Pourret, Jean-François Mahfouf, Vincent Guidard, Patrick Moll, Alexis Doerenbecher, Bruno Piguet
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 73, Iss 1, Pp 1-27 (2021)
A variational bias correction (VarBC) technique is proposed within the three-dimensional variational (3D-Var) assimilation system of the Météo-France convective scale model AROME to remove biases present in horizontal wind components derived from a
Externí odkaz:
https://doaj.org/article/8e6e75e315c54b10b4fbe83984a19622
Autor:
Fatima Zahra Hdidou, Soumia Mordane, Patrick Moll, Jean-François Mahfouf, Hassnae Erraji, Zaineb Dahmane
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 72, Iss 1, Pp 1-13 (2020)
The impact of assimilating zenith total delay (ZTD) observations from the Moroccan ground-based Global Navigation Satellite System (GNSS) network into the high-resolution operational model AROME-Morocco (2.5 km) is assessed over one month. The object
Externí odkaz:
https://doaj.org/article/b7a0fd709a384c3a91619651e068c571
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 67, Iss 0, Pp 1-20 (2015)
The impact of assimilating GPS zenith total delays (ZTD) in the convective scale model AROME is assessed over a 1-month period in summer 2013. The experimental set-up is similar to the current operational usage at Météo-France where the observing s
Externí odkaz:
https://doaj.org/article/a5c09bf197914a8199066313c3234926
Publikováno v:
Terrestrial, Atmospheric and Oceanic Sciences, Vol 20, Iss 1, p 101 (2009)
Following several years of experimentation with the GPS radio occultation technique, the 6-satellite FORMOSAT-3/COSMIC (F3C) mission was launched mid-2006 and has been collecting data since then. In this paper we present early findings of research pe
Externí odkaz:
https://doaj.org/article/89d85dc13e70459ab724a0283b97d19d
Autor:
Bruna Barbosa Silveira, Nadia Fourrié, Vincent Guidard, Philippe Chambon, Jean-François Mahfouf, Pierre Brousseau, Patrick Moll, Thomas August, Tim Hultberg
Publikováno v:
Monthly Weather Review
Monthly Weather Review, 2022, 150 (4), pp.733-752. ⟨10.1175/MWR-D-20-0189.1⟩
Monthly Weather Review, 2022, 150 (4), pp.733-752. ⟨10.1175/MWR-D-20-0189.1⟩
The main objective of the study is to evaluate the feasibility and benefits of assimilating satellite temperature and humidity soundings (aka Level 2 or L2 profiles), instead of radiances, from the EUMETSAT Advanced Retransmission Service (EARS) into
Autor:
Jérôme Slowensky, Patrick Moll, Olivier Perroud, Charbonnier Pierre, André Eberhardt, Alain Hautcoeur, Laurent Peltier
Publikováno v:
Shape Memory and Superelasticity
Shape Memory and Superelasticity, Springer, 2021, ⟨10.1007/s40830-021-00336-z⟩
Shape Memory and Superelasticity, Springer, 2021, ⟨10.1007/s40830-021-00336-z⟩
International audience; The use of shape memory alloys for micro-actuators constitutes a field of application in which copper–aluminum-based alloys find their usefulness because they can reach higher activation temperatures and are easier to produc
Publikováno v:
AUTEX research journal, 21 (3), 341-351
Autex Research Journal, Vol 21, Iss 3, Pp 341-351 (2020)
Autex Research Journal, Vol 21, Iss 3, Pp 341-351 (2020)
Fiber injection molding is an innovative approach for the manufacturing of nonwoven preforms but products currently lack a homogeneous fiber distribution. Based on a mold-integrated monitoring system, the uniformity of the manufactured preforms will
Publikováno v:
Textile Research Journal. 91:664-680
The fiber injection molding process is an innovative approach for the manufacturing of long fiber nonwoven preforms with little to no waste. An important property for the mechanical characteristics of the composite parts is the fiber orientation of t
Publikováno v:
Procedia CIRP, 15th CIRP Conference on Intelligent Computation in ManufacturingEngineering, 14-16 July 2021, Ed.: R. Teti, 112, 430–435
Fiber injection molding is an innovative process for the resource-efficient production of near net-shape long fiber preforms. The filling of the mold is crucial for the repeatability and uniformity of the produced preforms. For improving the fiber in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cceaee1d1df225f11b96f3c477f63bfa
Autor:
Patrick Moll, L. Berre, H. Bénichou, N. Girardot, Vincent Guidard, F. Bouyssel, C. Loo, Jean-Frans Mahfouf, C. Payan, D. Raspaud, Philippe Chambon
Publikováno v:
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV) ISBN: 9783030777210
The main features of the 2020 version of global Numerical Weather Prediction (NWP) model ARPEGE run operationally at Meteo-France are described. This spectral model, developed in collaboration with the Integrated Forecasting System (IFS) of ECMWF, ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85c328cacbfbfa42280b02faca022668
https://doi.org/10.1007/978-3-030-77722-7_25
https://doi.org/10.1007/978-3-030-77722-7_25