# Earthdata Login
from netrc import netrc
from subprocess import Popen
from platform import system
from getpass import getpass
import os
# Direct access
import requests
import s3fs
import xarray as xr
import hvplot.xarray
# Harmony
from harmony import BBox, Client, Collection, Request, LinkType
from harmony.config import Environment
from pprint import pprint
import datetime as dtEarthdata Cloud Exploration: Direct Access and Harmony workflow
Summary
This notebook will walk through two different access and transformation options across a single dataset available in the Earthdata Cloud: Direct s3 access and Harmony transformation services. These steps are based off of several notebook tutorials presented during the 2021 Earthdata Cloud Hackathon and 2021 AGU Workshop.
The following use case focuses on Sea Surface Temperature (SST) from the GHRSST MODIS L2 dataset (MODIS_T-JPL-L2P-v2019.0) available from PO.DAAC in the Earthdata Cloud.
Hurricane Ida snapshot
Using NASA Worldview, we can first explore SST during a tropical storm event; in this case, we can overlay L2 and L4 SST variables against true color imagery to observe Hurricane Ida in August 2021. Although this is a small sample set, this use case could be expanded to explore how SST responds during the Atlantic hurricane over the next several months. The same data that we are requesting below using direct s3 access and via Harmony-py can also be requested using NASA Earthdata Search
We will access a single netCDF file from inside the AWS cloud (us-west-2 region, specifically) and load it into Python as an xarray dataset. This approach leverages S3 native protocols for efficient access to the data.
After inspecting the data, we will then access the same file, but in this case we will also subset the data to our area of interest using Harmony.