[RELEASE] Podaacpy 2.2.0

Programming scripts on how to read, analyze and access PO.DAAC data

[RELEASE] Podaacpy 2.2.0

Postby lmcgibbn » Wed Nov 07, 2018 7:19 pm

Hi Folks,

We are happy to announce release and immediate availability of Podaacpy [0] 2.2.0. Please cross post this to any list who would be interested in using PO.DAAC data via a common, user friendly Python API.

What is Podaacpy?
A python utility library for interacting with NASA JPL's PO.DAAC. Full documentation can be found at [1]. The 2.2.0 release includes full Python API support for PO.DAAC Drive - https://podaac-tools.jpl.nasa.gov/drive/.
Additionally, this release is a follow-up to the recent NASA Earthdata podcast "Goodbye FTP, New Ways to Access NASA's Physical Oceanography Data at PO.DAAC" which featured Podaacpy. The podcast can be found at https://www.youtube.com/watch?v=kd8yjl6YiH8

How can I install Podaacpy?
Podaacpy is available through Pip and Conda package managers, more information can be found at [2]. Between Pypi and Conda, Podaacpy has been downloaded around 100K times.

Please report any issues to the Podaacpy issue tracker at [3].

Podaacpy is licensed permissively under the Apache License v2.0, more information can be found at [4].


[0] https://github.com/nasa/podaacpy
[1] http://podaacpy.readthedocs.io/en/latest/
[2] https://github.com/nasa/podaacpy#installation
[3] https://github.com/nasa/podaacpy#commun ... evelopment
[4] https://github.com/nasa/podaacpy#license
Posts: 54
Joined: Wed Feb 17, 2016 9:36 pm

Re: [RELEASE] Podaacpy 2.2.0

Postby waanko » Sat Dec 01, 2018 7:50 am

I want to extract wave, current and wind (10 meters) from Jason1-2 satellites images.
How can I do this?
Posts: 1
Joined: Sat Nov 17, 2018 12:19 pm

Re: [RELEASE] Podaacpy 2.2.0

Postby lmcgibbn » Mon Dec 03, 2018 7:27 pm

Hi waanko,
I'm working with the Data Engineering team to identify dataset(s) which include the parameters you need. Once I find the dataset(s), I'll write some example Python code for you.
Thanks for your patience.
Posts: 54
Joined: Wed Feb 17, 2016 9:36 pm

Return to Data Recipes