Visualizing and Comparing LIS Output¶

../../_images/nasa-lis-combined-logos2.png

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.

Import Libraries¶

# 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')