Environmental Drivers of Spring Bloom Timing¶
Spring 2021 Co-op Project by Aline Isabelle
SalishSeaCast is a 3-dimensional NEMO-based coupled biophysical model of the Salish Sea. The model includes many interacting processes, from important physical oceanography dynamics to a biological food web structure, with mesozooplankton as the highest trophic level.
This analysis utilized data from the 201905 model hindcast to determine the major environmental factors that affect the timing of the spring phytoplankton bloom in different locations of the Salish Sea. Once time series were extracted, the relationships between interannual variation of bloom timing and various environmental conditions were visually examined. A suite of factors were then further investigated with correlation and linear regression analysis.
The following pages outline the methodology used and the relevant findings.
- Defining the Date of the Spring Phytoplankton Bloom
- Environmental Drivers
- Central SoG Bloom Timing Analysis (Station S3)
- Northern SoG Bloom Timing Analysis (Station QU39)
- Comparing Stations S3 and QU39
- Relevant Code
- Making Pickle Files for Environmental Drivers of Spring Bloom Timing Analysis
- Time Series of Phytoplankton Bloom Timing and Environmental Drivers from 2007-2020 at Station S3 (201905 model run)
- Station S3 analysis
- Time Series of Phytoplankton Bloom Timing and Environmental Drivers from 2007-2020 at Station QU39 (201905 model run)
- QU39 Bloom Timing Check and Time Series
- Station QU39 analysis