Visualizing and Comparing LIS Output¶
LIS Output Primer¶
LIS writes model state variables to disk at a frequency selected by the user (e.g., 6-hourly, daily, monthly). The LIS output we will be exploring was originally generated as daily NetCDF files, meaning one NetCDF was written per simulated day. We have converted these NetCDF files into a Zarr store for improved performance in the cloud.
# interface to Amazon S3 filesystem import s3fs # interact with n-d arrays import numpy as np import xarray as xr # interact with tabular data (incl. spatial) import pandas as pd import geopandas as gpd # interactive plots import holoviews as hv import geoviews as gv import hvplot.pandas import hvplot.xarray # used to find nearest grid cell to a given location from scipy.spatial import distance # set bokeh as the holoviews plotting backend hv.extension('bokeh')