Project name: erdappy-griddap: Accessing gridded oceanographic data in near real time
Student: Callum Rollo
Organization: Integrated Ocean Observing System (IOOS)
Mentors:
import xarray as xr | |
import gsw | |
import numpy as np | |
import matplotlib.pyplot as plt | |
data = xr.open_dataset('/home/callum/Documents/data-flow/raw-to-nc/pyglider-c-proof/example-seaexplorer/L0-timeseries/dfo-eva035-20190718.nc') | |
data['oxygen_concentration_uncorr'] = data['oxygen_concentration'].copy() | |
ref_sal =0 | |
def cor_oxy(data, lon, lat, label): |
Project name: erdappy-griddap: Accessing gridded oceanographic data in near real time
Student: Callum Rollo
Organization: Integrated Ocean Observing System (IOOS)
Mentors:
from pathlib import Path | |
import xarray as xr | |
import numpy as np | |
import os | |
import matplotlib.pyplot as plt | |
import json | |
from shapely.geometry import LineString | |
import geopandas as gpd | |
path_to_gebco_nc = '/media/callum/storage/Documents/global_datasets/GEBCO_2019/GEBCO_2019.nc' |