This work is part of the PhytoArk project.
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Updated
Apr 26, 2024
This work is part of the PhytoArk project.
Calculate various MHWs(Marine Heat Waves) properties from daily SST datas
from first principles to end to end ecosystem models
An online calculator for iron limitation culture experiments
Provides Mathematica code to generate results from "Modeling the Metabolic Evolution of Mixotrophic Phytoplankton in Response to Rising Ocean Surface Temperatures"
Correction for flow cytometry histograms when part of the population is in noise
Function that calculates the maximum phytoplankton growth rate at specified temperature(s) according to the Eppley growth curve
Code and data for Randelhoff et al. (2019), "The evolution of light and vertical mixing across a phytoplankton ice-edge bloom"
Superseded by https://github.com/SalishSeaCast/SOG-Bloomcast-Ensemble. SoG-bloomcast is a an operational oceanography project to provide daily updated forecasts of the first spring phytoplankton bloom in the Strait of Georgia on the British Columbia south coast. In addition to being part of an active research program on the physics and biogeoche…
An implementation of the depth-resolved phytoplankton primary production model by Westberry et al. 2008.
Modules for the Lagrangian Plankton Model (LPM) integrated on the PALM LES model in the ocean mixed layer
Functions and a walkthrough to visualize common photosynthesis-irradiance relationships
assess the impact of 2024 Central American fires on surface ocean properties in the Gulf of Mexico
Southern Ocean phytoplakton observations stored in a relational SQL database
Planktos is an image recognition model tailored for classifying various species of phytoplankton. Built using cutting-edge machine learning algorithms, this tool enables researchers and environmentalists to automate and accelerate the identification process, enhancing studies in marine biology and ecology.
Branch of the SoG-bloomcast project that uses an ensemble forecast.
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