Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Richard Mena"'
Publikováno v:
Structural Control and Health Monitoring. 29
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01cab41c393e4bf8298ae71a053c1b12
https://doi.org/10.1002/stc.2858
https://doi.org/10.1002/stc.2858
Publikováno v:
e-IEO. Repositorio Institucional Digital de Acceso Abierto del Instituto Español de Oceanografía
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instname
The present study aims to determining the isolated and combined effects of stocking and prey densities on growth and survival of Octopus maya hatchlings both at experimental level and in a pilot scale system (8 m2 ; 2700 L). Octopus survival was not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f0d654004a7e8ba8b6d12641826d16a
http://hdl.handle.net/10508/9129
http://hdl.handle.net/10508/9129
Publikováno v:
Atmosphere, Vol 14, Iss 4, p 758 (2023)
We previously introduced the parametric variance Kalman filter (PvKF) assimilation as a cost-efficient system to estimate the dynamics of methane analysis concentrations. As an extension of our development, this study demonstrates the linking of PvKF
Externí odkaz:
https://doaj.org/article/2121bf510c5b432bb0d622cf27d6726f
Publikováno v:
Remote Sensing, Vol 14, Iss 2, p 371 (2022)
We present a parametric Kalman filter data assimilation system using GOSAT methane observations within the hemispheric CMAQ model. The assimilation system produces forecasts and analyses of concentrations and explicitly computes its evolving error va
Externí odkaz:
https://doaj.org/article/5a5f3ac603bf4136b375e2199dac92d0
Publikováno v:
Remote Sensing, Vol 14, Iss 2, p 375 (2022)
We applied the parametric variance Kalman filter (PvKF) data assimilation designed in Part I of this two-part paper to GOSAT methane observations with the hemispheric version of CMAQ to obtain the methane field (i.e., optimized analysis) with its err
Externí odkaz:
https://doaj.org/article/47238733e61b4c52931f338f77787184
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 68, Iss 0, Pp 1-14 (2016)
A computational simplification of the Kalman filter (KF) is introduced – the parametric Kalman filter (PKF). The full covariance matrix dynamics of the KF, which describes the evolution along the analysis and forecast cycle, is replaced by the dyna
Externí odkaz:
https://doaj.org/article/df7327756bae47708546af7ae7fc2600
Autor:
Richard Ménard, Simon Chabrillat, Alain Robichaud, Jean de Grandpré, Martin Charron, Yves Rochon, Rebecca Batchelor, Alexander Kallaur, Mateusz Reszka, Jacek W. Kaminski
Publikováno v:
Atmosphere, Vol 11, Iss 2, p 150 (2020)
A coupled stratospheric chemistry−meteorology model was developed by combining the Canadian operational weather prediction model Global Environmental Multiscale (GEM) with a comprehensive stratospheric photochemistry model from the Belgian Assimila
Externí odkaz:
https://doaj.org/article/bdde7255bd3a4b5f82d81b142d537227
Autor:
Dr Dan L Crouse, PhD, Lauren Pinault, PhD, Adele Balram, MPH, Perry Hystad, PhD, Paul A Peters, PhD, Hong Chen, PhD, Aaron van Donkelaar, PhD, Randall V Martin, PhD, Richard Ménard, PhD, Alain Robichaud, MSc, Paul J Villeneuve, PhD
Publikováno v:
The Lancet Planetary Health, Vol 1, Iss 7, Pp e289-e297 (2017)
Background: Findings from published studies suggest that exposure to and interactions with green spaces are associated with improved psychological wellbeing and have cognitive, physiological, and social benefits, but few studies have examined their p
Externí odkaz:
https://doaj.org/article/8de751fb879f4fbd9b520ea42991f920
Publikováno v:
Atmosphere, Vol 9, Iss 3, p 86 (2018)
We examine how passive and active observations are useful to evaluate an air quality analysis. By leaving out observations from the analysis, we form passive observations, and the observations used in the analysis are called active observations. We e
Externí odkaz:
https://doaj.org/article/85ee373d99c748dca4e3f18e575ab403
Publikováno v:
Atmosphere, Vol 9, Iss 2, p 70 (2018)
We present a general theory of estimation of analysis error covariances based on cross-validation as well as a geometric interpretation of the method. In particular, we use the variance of passive observation-minus-analysis residuals and show that th
Externí odkaz:
https://doaj.org/article/e939a5a6126e497db80f7ffdf19733c7