Python tools for obtaining and working with ICESat-2 data
Highlights include:
v0.8.1 is a minor patch release to address the bug in reading in ATL08 data (needed for an upcoming tutorial). No other commits currently on development, including a few critical updates (e.g. to correct spot calculations), are included in this release.
v0.8.0 separates date and time functionality into a temporal module. An auth MixIn class enables sharing of authentication between modules, an important step for cloud data access, and allows users to easily customize their auth settings (e.g. for proxies). Use of intake to read in data groups/variables was deprecated in favor of direct reads through Xarray. Clarifications to authorship, citation, and attribution are also included and support for ATL23 was added.
This release is for the final JOSS publication. It is based on the reviewed software release v0.6.4 with additions for the edits requested during the review.
icepyx has officially adopted earthaccess (>=0.5.1) for handling authentication and cloud credentialing. This release also includes a number of data product specific (e.g. ATL11 read in, ATL13 s3 urls) and other bug fixes, doc and action updates, and welcomes several new contributors.
Minor release with refactoring of geospatial into a spatial module, bug fixes (including for cross date line spatial extents), updates for cloud data access, and more testing.
Minor release with lots of documentation updates and improvements/additions and fix for the data read-in issues due to non-unique datetime indices.
Minor release with behind-login testing fixes, action updates, and fixes for reading in deeply nested variables and NumPy >= 1.22
Minor version release, including a bugfix that caused the attempted (and pulled) release of v0.6.0 to fail with an import error.
Introduces the QUEST colocated data framework, which included turning the Query class into a superclass called GenQuery. Improve gridded product access, docs, and updates to interactions with NSIDC.
Minor version release. Introduces the QUEST colocated data framework, which included turning the Query class into a superclass called GenQuery. Improve gridded product access, docs, and updates to interactions with NSIDC.