Publications by authors named "Jon Saenz"
In this study, we analysed Be weekly surface measurements from six Spanish laboratories from 2006 to 2021. The Kolmogorov-Zurbenko filter was applied to the six Be time series, and following an iterative process, the original data were divided into two fractions: one related to variations characterized by periods above 33 days (including, among others, the seasonal cycle) and the second noisier fraction related to mechanisms originating from variations with periods below 33 days. Both fractions were independent at the six locations.
View Article and Find Full Text PDFThree-hourly CMIP6 projections have been used in conjuction with the CSIRO WaveWatchIII wave model to calculate the global trends in offshore wind and wave energy for the SSP585 and SSP126 scenarios until 2100. The results indicate that moderate yet significant changes are expected in the theoretical electricity generated from wind and waves at fewer than 10-15% of coastal locations. While this implies a generally stable outlook for the future, certain coastal regions with existing or planned wind farms may experience a slight reduction in production by 2100.
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- The study aims to establish reliable mussel monitoring programs by understanding biomarker variability in two distinct regions of the Baltic Sea, taking into account factors like salinity and temperature.
- Mussels were collected seasonally from Kiel (Germany) and Tvärminne (Finland) to analyze various biochemical, cellular, and tissue-level biomarkers in relation to environmental changes.
- The findings indicated that biochemical markers showed seasonal changes influenced by environmental conditions, while tissue-level biomarkers at Tvärminne were affected mainly by reproductive energy demands, highlighting the importance of local ecological conditions for future pollution assessments.