Consulta: creatorFacets:"Bidlot, Jean-raymond"
Registros recuperados: 3
Data/hora: 26/07/2024 22:44:00

Emerging trends in the sea state of the Beaufort and Chukchi seas
Provedor de dados: Institutional Archive of Ifreme (ArchiMer)
Autores: Thomson, Jim; Fan, Yalin; Stammerjohn, Sharon; Stopa, Justin; Erick Rogers, W.; Girard-ardhuin, Fanny; Ardhuin, Fabrice; Shen, Hayley; Perrie, Will; Shen, Hui; Ackley, Steve; Babanin, Alex; Liu, Qingxiang; Guest, Peter; Maksym, Ted; Wadhams, Peter; Fairall, Chris; Persson, Ola; Doble, Martin; Graber, Hans; Lund, Bjoern; Squire, Vernon; Gemmrich, Johannes; Lehner, Susanne; Holt, Benjamin; Meylan, Mike; Brozena, John; Bidlot, Jean-raymond.
The sea state of the Beaufort and Chukchi seas is controlled by the wind forcing and the amount of ice-free water available to generate surface waves. Clear trends in the annual duration of the open water season and in the extent of the seasonal sea ice minimum suggest that the sea state should be increasing, independent of changes in the wind forcing. Wave model hindcasts from four selected years spanning recent conditions are consistent with this expectation. In particular, larger waves are more common in years with less summer sea ice and/or a longer open water season, and peak wave periods are generally longer. The increase in wave energy may affect both the coastal zones and the remaining summer ice pack, as well as delay the autumn ice-edge advance....
Tipo: Text
Palavras-chave: Sea ice; Arctic Ocean; Ocean surface waves.
Ano: 2016
URL: http://archimer.ifremer.fr/doc/00345/45590/45202.pdf

Strong winds in a coupled wave-atmosphere model during a North Atlantic storm event: evaluation against observations
Provedor de dados: Institutional Archive of Ifreme (ArchiMer)
Autores: Pineau-guillou, Lucia; Ardhuin, Fabrice; Bouin, Marie-noelle; Redelsperger, Jean-luc; Chapron, Bertrand; Bidlot, Jean-raymond; Quilfen, Yves.
Strong winds may be biased in atmospheric models. Here the ECMWF coupled wave-atmosphere model is used (1) to evaluate strong winds against observations, (2) to test how alternative wind stress parameterizations could lead to a more accurate model. For the period of storms Kaat and Lilli (23 to 27 January 2014), we compared simulated winds with in-situ – moored buoys and platforms - and satellite observations available from the North Atlantic. Five wind stress parameterizations were evaluated. The first result is that moderate simulated winds (5-20 m s-1) match with all observations. However, for strong winds (above 20 m s-1), mean differences appear, as much as -7 m s-1 at 30 m s-1. Significant differences also exist between observations, with buoys and...
Tipo: Text
Palavras-chave: Air-sea exchanges; Northeast Atlantic; Winds; IFS; Sea state; Roughness length; Drag coefficient; Wind stress.
Ano: 2018
URL: https://archimer.ifremer.fr/doc/00410/52118/52826.pdf

The Sea State CCI dataset v1 : towards a Sea State Climate Data Record based on satellite observations
Provedor de dados: Institutional Archive of Ifreme (ArchiMer)
Autores: Dodet, Guillaume; Piolle, Jean-francois; Quilfen, Yves; Abdallah, Saleh; Accensi, Mickael; Ardhuin, Fabrice; Ash, Ellis; Bidlot, Jean-raymond; Gommenginger, Christine; Marechal, Gwendal; Passaro, Marcello; Quartly, Graham; Stopa, Justin; Timmermans, Ben; Young, Ian; Cipollini, Paolo; Donlon, Craig.
Sea state data are of major importance for climate studies, marine engineering, safety at sea, and coastal management. However, long-term sea state datasets are sparse and not always consistent, and sea state data users still mostly rely on numerical wave models for research and engineering applications. Facing the urgent need for a sea state Climate Data Record, the Global Climate Observing System has listed Sea State as an Essential Climate Variable (ECV), fostering the launch in 2018 of the Sea State Climate Change Initiative (CCI). The CCI is a program of the European Space Agency, whose objective is to realize the full potential of global Earth Observation archives established by ESA and its member states in order to contribute to the ECV database....
Tipo: Text
Ano: 2020
URL: https://archimer.ifremer.fr/doc/00634/74633/74527.pdf