Notes partielles sur la reproduction d'Apogon Imberbis

Garnaud J. Notes partielles sur la reproduction d’Apogon imberbis . In: La Terre et La Vie, Revue d'Histoire naturelle, tome 4, n°1, 1950. pp. 39-42

Stabilité globale d'un jet laminaire subsonique

Les études existantes des jets compressibles mettent en évidence l'existence d'oscillations caractérisées par un nombre de Strouhal (basé sur le diamètre du jet) entre 0.2 et 0.4. Ce phénomène est communément attribué à un mode propre faiblement amorti du jet. Afin d'étudier cette hypothèse, nous étudions ce problème du point de vue de la stabilité globale, en considérant le non-parallélisme de l'écoulement de base

Canada’s Contributions to the SWOT Mission–Terrestrial Hydrology(SWOT-C TH)

The origins of the Surface Water and Ocean Topography (SWOT) mission date back to the mid-1970s with the launch of GOES-3 and SEASAT. These missions were then followed in 1992 by the Topex-Poseidon satellite, then by Jason-1 (2001), OSTM/Jason-2 (2008), and Jason 3 (2016), a series of joint satellite missions between NASA and CNES with a goal to monitor global ocean circulation. The proposed new SWOT mission will provide 120-km-wide swath interferometric coverage with a 20-km-wide gap at the nadir. The SWOT measurements will consist of water surface elevations and water surface slopes covering nearly all of the earth’s land surface at least once every 21 days. In 2010, NASA invited the Canadian Space Agency to contribute, and Canadian scientists welcomed the invitation to join the SWOT Science Definition Team and contribute to the experiments. The Canadian segment of the mission is known as the “SWOT-C” project. The SWOT satellite mission will provide unique opportunities in the Canadian context for water managers in both the public domain and in the private sector. This paper provides an overview of recent scientific progress by the SWOT-C Terrestrial Hydrology team, outlining current plans and progress towards applications and calibration post-launch

Snow Ensemble Uncertainty Project (SEUP): quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling

The Snow Ensemble Uncertainty Project (SEUP) is an effort to establish a baseline characterization of snow water equivalent (SWE) uncertainty across North America with the goal of informing global snow observational needs. An ensemble-based modeling approach, encompassing a suite of current operational models is used to assess the uncertainty in SWE and total snow storage (SWS) estimation over North America during the 2009–2017 period. The highest modeled SWE uncertainty is observed in mountainous regions, likely due to the relatively deep snow, forcing uncertainties, and variability between the different models in resolving the snow processes over complex terrain. This highlights a need for high-resolution observations in mountains to capture the high spatial SWE variability. The greatest SWS is found in Tundra regions where, even though the spatiotemporal variability in modeled SWE is low, there is considerable uncertainty in the SWS estimates due to the large areal extent over which those estimates are spread. This highlights the need for high accuracy in snow estimations across the Tundra. In midlatitude boreal forests, large uncertainties in both SWE and SWS indicate that vegetation–snow impacts are a critical area where focused improvements to modeled snow estimation efforts need to be made. Finally, the SEUP results indicate that SWE uncertainty is driving runoff uncertainty, and measurements may be beneficial in reducing uncertainty in SWE and runoff, during the melt season at high latitudes (e.g., Tundra and Taiga regions) and in the western mountain regions, whereas observations at (or near) peak SWE accumulation are more helpful over the midlatitudes

Notes partielles sur la reproduction d’Apogon imberbis

Garnaud J. Notes partielles sur la reproduction d’Apogon imberbis . In: La Terre et La Vie, Revue d'Histoire naturelle, tome 4, n°1, 1950. pp. 39-42

Analysis of an aero-acoustic flow field using dynamic modes

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