Spatial Distributions of Sea Surface Prochlorococcus, Synechococcus, and Picoeukaryotes

<p>The attached videos show estimated global distributions of sea surface <em>Prochlorococcus</em>, <em>Synechococcus</em>, and pico-eukaryotes cell abundances. To produce these estimates&nbsp;an Artificial Neural Network (ANN) is trained using more than 35 years of cell abundance observations. The training dataset is compiled using <a href="https://simonscmap.com/">Simons CMAP</a> python client (<a href="https://github.com/simonscmap/pycmap">pycmap</a>) and can be found <a href="https://doi.org/10.5281/zenodo.4108149">here</a>.&nbsp;Environmental variables are used as&nbsp;model features to predict the organism&#39;s abundances. Below is the list of employed features for each species:</p> <p>&nbsp;</p> <p><em>Prochlorococcus: </em><a href="https://simonscmap.com/catalog/datasets/Near_Real_Time%20SST_AVHRR_OI">Sea Surface Temperature</a>&nbsp;</p> <p><em>Synechococcus:&nbsp;</em><a href="https://simonscmap.com/catalog/datasets/Near_Real_Time%20SST_AVHRR_OI">Sea Surface Temperature</a>, <a href="https://simonscmap.com/catalog/datasets/Mercator_Pisces_Biogeochem_Climatology">Dissolved Nitrate (NO₃)&nbsp;Concentration</a>, <a href="https://simonscmap.com/catalog/datasets/Reprocessed_8_Day_Satellite_CHL">Chlorophyll Concentration&nbsp;</a></p> <p>pico-eukaryotes:&nbsp;<a href="https://simonscmap.com/catalog/datasets/Near_Real_Time%20SST_AVHRR_OI">Sea Surface Temperature</a>, <a href="https://simonscmap.com/catalog/datasets/Mercator_Pisces_Biogeochem_Climatology">Dissolved Nitrate (NO₃)&nbsp;Concentration</a>, <a href="https://simonscmap.com/catalog/datasets/Mercator_Pisces_Biogeochem_Climatology">Dissolved Oxygen (O₂)&nbsp;Concentration</a>, <a href="https://simonscmap.com/catalog/datasets/SMAP_Ocean_Surface_Salinity">Sea Surface Salinity</a>&nbsp;</p>