Article: Jupyter Notebooks on AWS EC2 in 12 (mostly easy) steps
Guide on how to set up Jupyter notebooks on the AWS cloud in user’s own EC2 cloud compute environment.
Article: Skip the download! Stream NASA data directly into Python objects
As Earth observation archives continue to grow at a blistering pace, it is becoming increasingly desirable not to download and manage files at all. Instead you often want to either 1) open the small pieces of large files directly into our favorite programming environment, or 2) stream large quantities of data on platforms co-located archive for high performance. Fortunately the combination of STAC metadata, cloud-optimized data formats, and open-source software is a powerful system for consistent and efficient access to geographically dispersed Earth Observation archives. In the following short article we’ll illustrate this system in practice and highlight Python libraries sat-search and intake-STAC.
(Authors: Scott Henderson (University of Washington eScience Institute), Matt Hanson (Element84, Inc.). Article posted on Medium https://medium.com/pangeo/intake-stac-nasa-4cd78d6246b7)
NASA Earthdata Harmony
Harmony (API) allows you to seamlessly analyze Earth observation data from different NASA data centers.
Tutorials: Earthdata Cloud Primer
Step-by-step tutorials on how to get started in the AWS cloud, including an Introduction to NASA’s Earthdata evolution to the cloud, discussion of cloud paradigm cost model, how to set up an AWS cloud instance, move files, and much more.
New PO.DAAC animation now available!
Animation of the retrieved ocean surface wind speed (meters per second) over the period of 1 August 2018 to 31 December 2020.
CYGNSS Climate Data Record Version 1.1 Datasets Release
2021-02-05
The PO.DAAC is pleased to announce the public release of the CYGNSS Climate Data Record (CDR) Version 1.1 (v1.1) datasets. More information regarding the CYGNSS mission and instrumentation is available from PO.DAAC’s mission webpage. The CDR Version 1.1 collection provides a total of 3 unique datasets, each corresponding to processing Levels 1 (L1), 2 (L2) and 3 (L3), respectively.
Newsletter:
Data in Action: Glaciers Melt from Below
Greenland’s glaciers have been rapidly melting over the past several decades, and are now a major contributor to global sea level rise.
Global Mean Sea Level Trend from Integrated Multi-Mission Ocean Altimeters TOPEX/Poseidon, Jason-1, OSTM/Jason-2, and Jason-3 Version 5.0 Dataset Release
2021-01-08
The PO.DAAC is pleased to announce the public release of the Global Mean Sea Level (GMSL) trend Version 5.0 dataset from the Making Earth System Data Records for Use in Research Environments (MEaSUREs) Integrated Multi-Mission Ocean Altimeter Data for Climate Research project. More information about the GMSL dataset is available on the NASA Sea Level website.
Newsletter:
New PO.DAAC animation now available!
Animation of sea surface salinity from 31 March 2015 to 9 November 2020 based on the 8-day running mean version 5.0 Level 3 NASA Soil Moisture Active Passive (SMAP) dataset from JPL.
Animation: Sea Surface Salinity from SMAP JPL V5.0 (2015-2020)
Animation of sea surface salinity from 31 March 2015 to 9 November 2020 based on the 8-day running mean version 5.0 Level 3 NASA Soil Moisture Active Passive (SMAP) dataset from JPL. The dataset can be accessed from the PO.DAAC Portal at https://podaac.jpl.nasa.gov/dataset/SMAP_JPL_L3_SSS_CAP_8DAY-RUNNINGMEAN_V5 (DOI: 10.5067/SMP50-3TPCS).