Can you create a CSV from a TEMPO L2 file?

[ASDC - jennifer.tindell]

Is it possible to subset TEMPO Level 2 data using the CSV Automation Service for Processing & Easy Retrieval (CASPER) through the Subsetter And Multi-dimensional Batched Aggregation in Harmony (SAMBAH) via harmony-py?

[ASDC - jennifer.tindell]

Currently, CASPER is only available as an optional functionality when accessing data through SAMBAH programmatically via harmony-py or the Harmony API; it is not available as a standalone service at this time. CASPER is expected to become available as an option in the Earthdata Search interface in the future.

Known Limitations

Converting large NetCDF files can result in CSV files that are too large to be opened in Excel. For this reason, concatenation is disabled in the SAMBAH processing chain if CSV output is requested..

Recommendations for Usage

To avoid sending large files to CASPER, it is recommended that spatial subsetting be used. Files are processed by CASPER concurrently, so there is no limit on the number of files that can be requested.

Programmatic Request Example (Python)

Code: Select all

from harmony import BBox, Client, Collection, Request
from datetime import datetime

harmony_client = Client()
collection_id = "C3685896872-LARC_CLOUD"

request = Request(
	collection = Collection(id=collection_id),
	spatial = BBox(-80, 36, -60, 40),
	temporal = {'start': datetime(2025, 11, 1),
		'stop': datetime(2025, 11, 2)},
	max_results = 10,
	format = "text/csv"
)
assert request.is_valid()
harmony_client.submit(request)

CASPER Tutorial

How To Download TEMPO Data as CSV

Additional information on CASPER may be found in its GitHub repository: https://github.com/nasa/harmony-casper/

CASPER Processing Details

CASPER is a new Harmony service that converts NetCDF files into CSV format by grouping the variables based on the combination of their coordinates (e.g., longitude, latitude, mirror_step, xtrack) and outputting each group into a separate CSV file. Two Readme files are also created, one as Markdown and one as JSON, which contain a user-friendly outline of which variables are in each CSV output file and the NetCDF file- and variable-level attributes.
Output from CASPER is a compressed (.zip) file containing the CSV and Readme files.