NASA Earth Access - Research Notebook

This is a rather recent edition which gives us access to the NASA Database. They have a number of new tutorials:

Why EarthAccess - Slides
Simple WorkFlows for Accessing NASA NSIDC DAAC Data in the Cloud - YouTube Video
NASA EarthData Cloud and Data Access - Jupyter Notebook I | Notebook II | Video
Discover and Access Earth Science Data Using Earthdata Search - YouTube Video

PseudoCode¶

Open Data Links¶


results = earthaccess.search_data(
    short_name='SEA_SURFACE_HEIGHT_ALT_GRIDS_L4_2SATS_5DAY_6THDEG_V_JPL2205',
    cloud_hosted=True,
    bounding_box=(-10, 20, 10, 50),
    temporal=("1999-02", "2019-03"),
    count=10
)


# if the data set is cloud hosted there will be S3 links available. The access parameter accepts "direct" or "external", direct access is only possible if you are in the us-west-2 region in the cloud.
data_links = [granule.data_links(access="direct") for granule in results]

# or if the data is an on-prem dataset
data_links = [granule.data_links(access="external") for granule in results]

Download Locally¶

results = earthaccess.search_data(
    short_name='SEA_SURFACE_HEIGHT_ALT_GRIDS_L4_2SATS_5DAY_6THDEG_V_JPL2205',
    cloud_hosted=True,
    bounding_box=(-10, 20, 10, 50),
    temporal=("1999-02", "2019-03"),
    count=10
)
files = earthaccess.download(results, "./local_folder")

Direct S3 Access¶

import xarray as xr

files = earthaccess.open(results)

ds = xr.open_mfdataset(files)