earthcube2021 / ec21_gray_etal

Leveraging satellite data and pangeo to investigate the role of Gulf Stream frontal dynamics in ocean productivity

Leveraging satellite data and pangeo to investigate the role of Gulf Stream frontal dynamics in ocean productivity

Authors: Patrick C. Gray & David W. Johnson

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Overview

The Gulf Stream is a dominant physical feature in the North Atlantic, influencing the marine ecosystem across trophic levels, yet the physical-biological interactions along this western boundary current are poorly understood. In this work we analyze Gulf Stream physical and biological patterns over multiple years with particular emphasis on how the current's front impacts biology across space and time. We ask specifically how phytoplankton patterns along the front correspond to seasonality and wind with speculation on possible nutrient limitations. This work primarily uses satellite-based sea surface temperature (SST), chlorophyll-a (chla), and sea surface height (SSH) data. Using xarray and running in jupyter in the cloud allows efficient analysis across many years of satellite data and holoviz enables interactive visualization and data exploration. Basing this work on a pangeo Docker image allows easy reproducibility and a robust set of packages for scientific computing. This work aims to provide insight into the overall role of Gulf Stream frontal features and dynamics in ocean productivity and increase the ease of access, manipulation, and visualization of these highly dimensional and complex datasets.

The primary contributions of this work are:

• collation and visualization of a variety of oceanographic datasets permitting investigation of the Gulf Stream front
• derivation of the Gulf Stream front location every month for a decade from Sea Surface Height data
• demonstration of an array of scientific computing tools for oceanography analysis
• investigation of the physical and biological properties of the Gulf Stream front over a decade

Citation

Gray, P.C., & Johnston D.W., 2021. Leveraging satellite data and pangeo to investigate the role of Gulf Stream frontal dynamics in ocean productivity. Accessed on at https://github.com/earthcube2021/ec21_gray_etal

ec21_gray_etal's Issues

notebook doesn't load from myBinder link

Try in pangeo binder https://binder.pangeo.io/v2/gh/earthcube2021/ec21_gray_etal/main
Notebook opens, but then quits at this:
"And now use hvplot to make the plotting interactive and add the ability to move through each time step with the scroll bar on the right."

Command:

chla_ds.chlor_a.hvplot.quadmesh(
    'lon', 'lat', projection=proj, project=True,
    cmap='jet', dynamic=True, coastline='10m', 
    frame_width=300, logz=True, clim=(0.01,20), rasterize=True)

traceback (first line)

---------------------------------------------------------------------------
gaierror                                  Traceback (most recent call last)
/srv/conda/envs/notebook/lib/python3.8/urllib/request.py in do_open(self, http_class, req, **http_conn_args)
   1353             try:
-> 1354                 h.request(req.get_method(), req.selector, req.data, headers,
   1355                           encode_chunked=req.has_header('Transfer-encoding'))

In the middle:

gaierror: [Errno -3] Temporary failure in name resolution

During handling of the above exception, another exception occurred:

URLError                                  Traceback (most recent call last)

Last line:

/srv/conda/envs/notebook/lib/python3.8/urllib/request.py in do_open(self, http_class, req, **http_conn_args)
   1355                           encode_chunked=req.has_header('Transfer-encoding'))
   1356             except OSError as err: # timeout error
-> 1357                 raise URLError(err)
   1358             r = h.getresponse()
   1359         except:

URLError: <urlopen error [Errno -3] Temporary failure in name resolution>