Philippe Bryère - Academia.edu (original) (raw)

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Papers by Philippe Bryère

Research paper thumbnail of Determination of Sea Ice Extent and Ice Types Using the Ami-Wind-Antarctica 1992-95

Research paper thumbnail of A new procedure for interpolating satellite-derived Suspended Particulate Matters within the Previmer context

Research paper thumbnail of Observed vs. predicted variability in non-algal suspended particulate matter concentration in the English Channel in relation to tides and waves

Geo-Marine Letters, 2012

The study of water clarity is essential to understand the variability in biological production,pa... more The study of water clarity is essential to understand the variability in biological production,particularly in coastal seas. The spatial and temporal variability of non-algal suspended particulate matter (SPM) in surface waters of the English Channel was investigated and related to local forcing by means of a large satellite dataset covering the study area with a spatial resolution of 1.2 km and a daily temporal resolution. This analysed dataset is a time series of non-algal SPM images derived from MODIS and MERIS remote-sensing reflectance by application of an IFREMER semi-analytical algorithm over the period [2003][2004][2005][2006][2007][2008][2009]. In a first step, the variability of time series of MODIS images was analysed through temporal autocorrelation functions. Then, nonalgal SPM concentrations were assessed in terms of site-specific explanatory variables such as tides, wind-generated surface-gravity wave amplitudes and chlorophyll-a (Chl-a), based on three statistical models with fitting parameters calibrated on a dataset of merged MERIS/MODIS images gathered from 2007 to 2009 over the whole English Channel. Correlogram analysis and the first model highlight the local patterns of the influence of the tide, especially the neap-spring cycle, on non-algal surface SPM. Its effect is particularly strong in the central and eastern English Channel and in the western coastal areas. The second model shows that waves prevail as driver at the entrance of the English Channel. The most sophisticated of the three statistical models, although involving only three explanatory variables-the tide, waves and Chl-a -is able to estimate nonalgal surface SPM with a coefficient of determination reaching 70% at many locations.

Research paper thumbnail of Determination of Sea Ice Extent and Ice Types Using the Ami-Wind-Antarctica 1992-95

Research paper thumbnail of Atlas de la Température, de la concentration en Chlorophylle et de la Turbidité de surface du plateau continental français et de ses abords de l’Ouest européen

Research paper thumbnail of The exceptional surface turbidity of the North-West European shelf seas during the stormy 2013-2014 winter: consequences for the initiation of the phytoplankton blooms?

Research paper thumbnail of Determination of Sea Ice Extent and Ice Types Using the Ami-Wind-Antarctica 1992-95

Research paper thumbnail of A new procedure for interpolating satellite-derived Suspended Particulate Matters within the Previmer context

Research paper thumbnail of Observed vs. predicted variability in non-algal suspended particulate matter concentration in the English Channel in relation to tides and waves

Geo-Marine Letters, 2012

The study of water clarity is essential to understand the variability in biological production,pa... more The study of water clarity is essential to understand the variability in biological production,particularly in coastal seas. The spatial and temporal variability of non-algal suspended particulate matter (SPM) in surface waters of the English Channel was investigated and related to local forcing by means of a large satellite dataset covering the study area with a spatial resolution of 1.2 km and a daily temporal resolution. This analysed dataset is a time series of non-algal SPM images derived from MODIS and MERIS remote-sensing reflectance by application of an IFREMER semi-analytical algorithm over the period [2003][2004][2005][2006][2007][2008][2009]. In a first step, the variability of time series of MODIS images was analysed through temporal autocorrelation functions. Then, nonalgal SPM concentrations were assessed in terms of site-specific explanatory variables such as tides, wind-generated surface-gravity wave amplitudes and chlorophyll-a (Chl-a), based on three statistical models with fitting parameters calibrated on a dataset of merged MERIS/MODIS images gathered from 2007 to 2009 over the whole English Channel. Correlogram analysis and the first model highlight the local patterns of the influence of the tide, especially the neap-spring cycle, on non-algal surface SPM. Its effect is particularly strong in the central and eastern English Channel and in the western coastal areas. The second model shows that waves prevail as driver at the entrance of the English Channel. The most sophisticated of the three statistical models, although involving only three explanatory variables-the tide, waves and Chl-a -is able to estimate nonalgal surface SPM with a coefficient of determination reaching 70% at many locations.

Research paper thumbnail of Determination of Sea Ice Extent and Ice Types Using the Ami-Wind-Antarctica 1992-95

Research paper thumbnail of Atlas de la Température, de la concentration en Chlorophylle et de la Turbidité de surface du plateau continental français et de ses abords de l’Ouest européen

Research paper thumbnail of The exceptional surface turbidity of the North-West European shelf seas during the stormy 2013-2014 winter: consequences for the initiation of the phytoplankton blooms?

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