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Recent Releases of Climakitae

Climakitae - 1.2.3

What's Changed

New Contributors

Full Changelog: https://github.com/cal-adapt/climakitae/compare/1.2.2...1.2.3

Climate Change - Climate Data Processing and Analysis - Python
Published by elehmer 26 days ago

Climakitae - 1.2.2

What's Changed

New Contributors

Full Changelog: https://github.com/cal-adapt/climakitae/compare/1.2.1...1.2.2

Climate Change - Climate Data Processing and Analysis - Python
Published by elehmer 2 months ago

Climakitae - 1.2.1

What's Changed

Bug fixes for 1.2.0:

#496
#497
#499

Full Changelog: https://github.com/cal-adapt/climakitae/compare/1.2.0...1.2.1

Climate Change - Climate Data Processing and Analysis - Python
Published by elehmer 3 months ago

Climakitae - 1.2.0

What's Changed

This release includes changes to code to accommodate moving python foundation libraries from those in Pangeo Notebook Image 2022-09-21 to Pangeo Notebook Image 2024-11-11. As well as all of these changes:

Full Changelog: https://github.com/cal-adapt/climakitae/compare/1.1.0..1.2.0

Climate Change - Climate Data Processing and Analysis - Python
Published by elehmer 3 months ago

Climakitae - 1.1.0

Release Notes – climakitae 1.1.0

Added new Global Warming Level approach to data retrieval and tools.

What’s new?

  • Added global warming levels approach and related functionality as a data retrieval option
  • Added gwl_timing_table.csv to package data and code used to create the file (generate_gwl_timing_table.py)
  • Handled an error in WarmingLevels.calculate()
  • Adding goodness of fit prints for goodness-of-fit of distributions for 1 in X calculations to CAVA data function
  • Optimizing FFWI by using xarray clipping vs numpy clipping
  • Allow individual GCMs to be selected using a warming level approach
  • Optimize CAVA pilot function by primarily using batch mode
  • Enable WL simulation to be dropped for LOCA models too in CAVA pilot
  • Fixing WL simulation filtering bug with warming levels
  • Adding new bias corrected WRF model to CAVA pilot
  • Refactor CAVA pilot to integrate new global warming approach and naming conventions via DataParameters
  • Added new Vunerability tests
  • Added Derived variables/indices to get_data_options() and get_data() functions so that those data can be downloaded without GUI.

Climate Change - Climate Data Processing and Analysis - Python
Published by elehmer 5 months ago

Climakitae - 1.0.1

Minor bug fixes and improvements. Documentation cleanup

Climate Change - Climate Data Processing and Analysis - Python
Published by elehmer 7 months ago

Climakitae - 1.0.0

Release Notes – climakitae 1.0.0

climakitae at 1.0.0 now splits the codebase into 2 repos: climakitae and climakitaegui. All GUI based code using the holoviz universe (panel, hvplot, etc.) has been moved to climakitaegui (ckg). This allows climakitae (ck) to have a more minimal install requirement allowing users to access the core data retrieval functionality of ck without the difficult build requirements of ckg.

What’s new?

  • Code split into 2 repos. For GUI based functions in ckg, base classes are set in ck and then imported and extended in ckg. Some work had been previously done on this internally to ck but now the gui code is in a completely different repo.
  • Functions needed only for other functions (helper functions) were moved from module level into the sub-functions.
  • Documentation improvements to core functions.

Core

  • All panel based user interface code moved to ckg
  • New data query and retrieval tools added so that possible data outputs can be searched for and I single get_data call can be done.

Explore

  • GUIs for explore tools moved to ckg. Base functions remain.

Climate Change - Climate Data Processing and Analysis - Python
Published by elehmer 8 months ago

Climakitae - 0.1.0

Release Notes – climakitae 0.1.0

climakitae is a python library being developed in tandem with a Jupyter notebook repository, cae-notebooks, for the Cal-Adapt Analytics Engine, an open-source project to enable cloud computing with official State of California downscaled climate projections.

This release represents a new stable beta version of core features, which will be built upon as existing toolkits are updated and new ones are added.

What’s new?

  • Core functions and toolsets are updated to select, subset, retrieve, preview, and export data from an updated catalog of climate projections regionally downscaled for California.

  • Application class was removed, solving issues with unintended shared state

  • Syntax has changed as a result, and code examples in Jupyter notebooks on the Analytics Engine Hub now reflect version 0.1.0:

Activity Before Version 0.1.0
Import the library import climakitae as ck import climakitae as ck
Pull up a GUI to select and subset data from the catalog app = ck.Applicationapp.select() selections = ck.Select()selections.show()
Print the current state of selections app.selections selections
Retrieve selected data from the catalog(in an xarray format, lazily loaded) my_data = app.retrieve() my_data = selections.retrieve()
Preview the data app.view(my_data) ck.view(my_data)
Force compute, to load data into memory my_data = app.load(my_data) my_data = ck.load(my_data)
Export data to file app.export_as()app.export(my_data,’filename’) ck.export(my_data, ‘filename’,format)

Export

  • geoTIFF is deprecated (for now). netCDF and csv are available formats
  • csv export better handles formatting for multiple types of data
  • export is now a single line, replacing a two-step process of selecting filetype

Toolkits

  • Previous ‘explore’ panels and timeseries tools are unified under the ‘explore’ module
  • Functionality remains the same as immediately prior to this release
  • Future updates introduce more toolkit improvements
  • Required imports and calling syntax have changed:
Activity Before Version 0.1.0
Pull up one of the ‘explore’ toolkits (interactive panel with GUI) app = ck.Application()app.explore.warming_levels() from climakitae.explore import warming_levelswl = warming_levels()wl.show()
timeseries toolkit from climakitae import timeseriestools as tsttimeseries = tst.Timeseries(my_data)timeseries.explore() from climakitae.explore import timeseries as tsttimeseries = tst.TimeSeries(my_data)timeseries.explore()

Climate Change - Climate Data Processing and Analysis - Python
Published by elehmer over 1 year ago

Climakitae - 0.0.2

This is the 0.0.2 release of Climakitae just before a major refactoring of the codebase.

Climate Change - Climate Data Processing and Analysis - Python
Published by elehmer over 1 year ago