2010
DOI: 10.1016/j.hal.2009.11.006
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Can Pseudo-nitzschia blooms be modeled by coastal upwelling in Lisbon Bay?

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Cited by 42 publications
(44 citation statements)
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“…HABs are a common occurrence in Portuguese water, both along the coast and offshore (Moita et al, 2003;Vale, 2012;Escalera et al, 2010;Palma et al, 2010). An ocean colouring technique applied to remote-sensing imagery can be used to track these blooms, but this technique is also limited for low-biomass or in subsurface blooms, and it lacks the predictive skills to infer bloom transport beforehand.…”
Section: Marine Resourcesmentioning
confidence: 99%
“…HABs are a common occurrence in Portuguese water, both along the coast and offshore (Moita et al, 2003;Vale, 2012;Escalera et al, 2010;Palma et al, 2010). An ocean colouring technique applied to remote-sensing imagery can be used to track these blooms, but this technique is also limited for low-biomass or in subsurface blooms, and it lacks the predictive skills to infer bloom transport beforehand.…”
Section: Marine Resourcesmentioning
confidence: 99%
“…Chlorophyll a (Chl-a) and silicic acid were used as predictors, but significant refinement to the models was achieved by period-specific inclusions of temperature, an upwelling index, river discharge, or nitrate data. Palma et al (2010) also achieved some success in the prediction of Pseudo-nitzschia blooms in Lisbon Bay using statistical models in the application of regression analysis to the relationship of Pseudo-nitzschia blooms to sea surface temperature and an upwelling index. Models developed for three oceanographic seasons allowed forecasting of the presence of Pseudo-nitzschia in spring and summer, revealing a lag of four to six days between upwelling events and the appearance of Pseudo-nitzschia blooms.…”
Section: Hab Prediction and Response To Climate Changementioning
confidence: 99%
“…Moreover, upwelling occurs as filaments with diverse orientations [Relvas and Barton (2002)], thus, it is not guaranteed that the Sagres study site is always significantly affected by these filaments, even though they are present in the surrounding area. To prove a direct relationship between SST and upwelling indices over the duration of a long time series is difficult, but analyses of isolated events at a specific study site demonstrate more clearly the effects of wind forcing on SST [Goela et al (2015), Loureiro et al (2005), Palma et al (2010)]. From this base, a time window of interest was defined, coinciding with a major sampling campaign period for ocean colour remote sensing validation purposes, and Q x , Q y and SST were plotted (Fig.…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…Palma et al (2010)]. Spectral analysis is a frequency domain statistical method, useful to unmask hidden time frequency in the data.…”
mentioning
confidence: 99%