https://github.com/climateimpactlab/dodola - [0.19.0] - 2022-03-25

Added

• Add badge for current release DOI to README. (@brews) ### Changed
• Significant update to container/package environment pins. (PR #183, @brews)

- Python
Published by brews about 4 years ago

https://github.com/climateimpactlab/dodola - [0.18.0] - 2022-03-03

Added

• Add basic CI/CD test and build status badges to README. (PR #182, @brews) ### Fixed
• Fix dodola validate-dataset OOM on small workers without dask-distributed. (PR #181, @brews)

- Python
Published by brews over 4 years ago

https://github.com/climateimpactlab/dodola - [0.17.0] - 2022-02-17

Changed

• Increase max allowed tasmin, tasmax in services.validate to 377 K for UKESM1-0-LL. (PR #180, @brews) ### Fixed
• Move in-memory data loading where it is needed for 360-days calendar conversion in clean-cmip6 (PR #179, @emileten)

- Python
Published by brews over 4 years ago

https://github.com/climateimpactlab/dodola - [0.16.2] - 2022-02-15

Fixed

• Fix incorrect references when standardizing gcm (PR #178, @emileten)

- Python
Published by emileten over 4 years ago

https://github.com/climateimpactlab/dodola - [0.16.1] - 2022-01-27

Fixed

• Fix the wetday frequency correction so that different replacement values are used, rather than a single one (PR #174, PR #176, @emileten, @delgadom).

- Python
Published by brews over 4 years ago

https://github.com/climateimpactlab/dodola - [0.16.0] - 2022-01-19

Added

• Improve README.md. (PR #169, @brews)

Changed

• Remove duplicated service-level logging info lines of code introduced by PR #148 (PR #168, @emileten)
• Decrease validation temperature range min to 130 (PR #170, @emileten)

- Python
Published by emileten over 4 years ago

https://github.com/climateimpactlab/dodola - [0.15.1] - 2021-12-29

Fixed

• Fix boolean condition error in DTR ceiling application. (PR #165, PR #166, @emileten)

- Python
Published by brews over 4 years ago

https://github.com/climateimpactlab/dodola - [0.15.0] - 2021-12-27

Added

• Add maximum precipitation adjustment service that applies a "ceiling" or "cap" to precipitation values above a user-defined threshold. (PR #164, @dgergel)

Changed

• Increase max precipitation allowed by validation to 3000 mm. (PR #164, @dgergel)
• Update wet day frequency correction to incorporate method additions from Hempel et al 2013. (PRs #162 and #159, @dgergel)
• Floor and ceiling for DTR. (PR #163 @emileten)

- Python
Published by brews over 4 years ago

https://github.com/climateimpactlab/dodola - [0.14.0] - 2021-12-21

Changed

• Update wet day frequency correction to include small negative values in correction and to limit the correction range to the threshold * 10 ^ -2. (PR #158, @dgergel)
• Update package setup, README, HISTORY/CHANGELOG to new system. (PR #154, @brews)

- Python
Published by brews over 4 years ago

https://github.com/climateimpactlab/dodola - v0.13.0 (2021-12-17)

• Update diurnal temperature range (DTR) validation to differentiate min DTR accepted value for CMIP6 vs bias corrected and downscaled data inputs (PR #155, @dgergel)
• Update diurnal temperature range (DTR) validation to differentiate polar and non-polar regions (PR #153, @dgergel)
• Fix rechunk error when converting 360 days calendars. (#149, PR #151, @brews)
• Remove cruft code. Removes dodola commands biascorrect, downscale, buildweights along with corresponding functions in dodola.services and dodola.core. (PR #152, @brews)

- Python
Published by brews over 4 years ago

https://github.com/climateimpactlab/dodola - v0.12.0 (2021-12-09)

• Add 360 days calendar support (PR #144, @emileten)
• Add an option to temporarily replace the target variable units in dodola services and use in CLI dodola for precip (PR #143, @emileten)
• Add diurnal temperature range (DTR) correction for small DTR values below 1 (converts them to 1) (PR #145, @dgergel)

- Python
Published by brews over 4 years ago

https://github.com/climateimpactlab/dodola - v0.11.1 (2021-12-03)

• Decrease allowed timesteps for bias corrected/downscaled files in validation to allow models that only go through 2099 (PR #146, @dgergel)

- Python
Published by brews over 4 years ago

https://github.com/climateimpactlab/dodola - v0.11.0 (2021-11-30)

• Increase validation temperature range max to 360 (PR #142, @dgergel)
• Distinguish missing from excess timesteps in timesteps validation (PR #140, @emileten)
• Add post wet day correction option in CLI dodola (PR #141 @emileten)

- Python
Published by brews over 4 years ago

https://github.com/climateimpactlab/dodola - v0.10.0 (2021-11-22)

• Add additional tests for dodola.core.*_analogdownscaling functions. (PR #136, @dgergel, @brews)
• Update dtr range check max to allow up to 70 C. (PR #138, @brews, @dgergel)

- Python
Published by brews over 4 years ago

https://github.com/climateimpactlab/dodola - v0.9.0 (2021-11-15)

• Fix attrs missing from services.apply_qplad output Datasets. (#135, @brews)
• Add --root-attrs-json-file to prime-qplad-output-zarrstore, apply-qplad, prime-qdm-output-zarrstore, apply-qdm. (PR #134, @brews)
• Add dodola get-attrs command. (PR #133, @brews)
• Upgrade Docker base image to continuumio/miniconda3:4.10.3. (PR #132, @brews)

- Python
Published by brews over 4 years ago

https://github.com/climateimpactlab/dodola - v0.8.0 (2021-11-10)

• AIQPD has been renamed "Quantile-Preserving, Localized Analogs Downscaling" (QPLAD). AIQPD-named commands have been switch to QPLAD. This is backward compatibility breaking. (PR #131, @brews)
• Add AIQPD output Zarr priming (prime-aipqd-output-zarrstore), input slicing, region writing, attrs merging, and multi-year processing. This breaks backwards compatibility for apply-aiqpd and its services and core functions. See the pull request for additional details. (PR #130, @brews)
• Similarly, add QDM output Zarr priming (prime-qdm-output-zarrstore), region writing, attrs merging, and multi-year processing. This breaks backwards compatibility for apply-qdm and its services and core functions. See the pull request for additional details. (PR #129, @brews)
• Make logging slightly more chatty by default. (PR #129, @brews)
• Add pre-training slicing options to train-qdm and train-aiqpd. (PR #123, PR #128, @brews)
• Quick fix validation reading entire zarr store for check. (PR #124, @brews)

- Python
Published by brews over 4 years ago

https://github.com/climateimpactlab/dodola - v0.7.0 (2021-11-02)

• Update xclim version to 0.30.1, this updates the Train/Adjust API for QDM and AIQPD and requires units attributes for all QDM and AIQPD inputs. (PR #119, @dgergel)
• Add global validation, includes new service validate for validating cleaned CMIP6, bias corrected and downscaled data for historical and future time periods. (PR #118, @dgergel)
• Regrid copies input Dataset attrs metadata to output (#116). (PR #121, @brews)
• Upgrade dask to 2021.10.0 to cover https://nvd.nist.gov/vuln/detail/CVE-2021-42343. (PR #122, @brews)

- Python
Published by brews over 4 years ago

https://github.com/climateimpactlab/dodola - 0.6.0 (2021-09-08)

• Add AIQPD downscaling method to options. Also updates xclim dependency to use the CIL-fork and "@addanalogdownscaling" branch, with 0.28.1 of xclim merged in. This supersedes the BCSD downscaling service. (PR #98, PR #115, @dgergel)

- Python
Published by brews over 4 years ago

https://github.com/climateimpactlab/dodola - v0.5.0 (2021-08-04)

• Bump environment xarray to v0.19.0. Note this change has breaking changes in Zarr Store I/O. (PR #109, @brews)
• Add --cyclic option to regrid cli and services. (PR #108, @brews)
• Add papermill, intake-esm to Docker environment. (PR #106, @brews)

- Python
Published by brews almost 5 years ago

https://github.com/climateimpactlab/dodola - v0.4.1 (2021-07-13)

• Fix application logging to stdout. (PR #104, @brews)
• Bump xclim to v0.28.0, improve environment notes. (PR #105, @brews)

- Python
Published by brews almost 5 years ago

https://github.com/climateimpactlab/dodola - v0.4.0 (2021-07-09)

• Add include-quantiles flag to apply_qdm to allow for including quantile information in bias corrected output. (PR #95, @dgergel)
• Add precipitation unit conversion to standardize_gcm. (PR #94, @dgergel)
• Add astype argument to regrid. (PR #92, @brews)
• Make dodola container's default CMD. (PR #90, @brews)
• Improve subprocess and death handling in Docker container. (PR #90, @brews)
• Fix bug in train_quantiledeltamapping accounting for endpoints. (#87, @brews)

- Python
Published by brews almost 5 years ago

https://github.com/climateimpactlab/dodola - v0.3.0 (2021-06-16)

• Significant updates to container environment: Python 3.9, xarray, adlfs, xesmf, dask, and fsspec. (PR #74, PR #75, PR #76, PR #77, PR #84 @brews)
• Update buildweights service to add support for regridding to domain file. Not backwards compatible. (PR #67, @dgergel)
• Add downscaling service. Currently support BCSD spatial disaggregation as implemented in scikit-downscale. (PR #65, @dgergel)
• Remove stdout buffering from container runs, add IO debug logging. (PR #72, @brews)
• Add bias-correction quantile delta mapping (QDM) components to support Argo Workflows. New commands added: dodola train-qdm and dodola apply-qdm. (PR #70, @brews)
• Fix CMIP6 clean to better handle coords vs dims. (PR #81, @brews)
• Add wet day frequency correction service. Wet day frequency implemented as described in Cannon et al., 2015. New command added: dodola correct-wetday-frequency. (PR #78, @dgergel)

- Python
Published by brews almost 5 years ago

https://github.com/climateimpactlab/dodola - v0.2.0 (2021-04-23)

• Fix TypeError from dodola rechunk. (PR #63, @brews)
• Switch to pure fsspec-style URLs for data inputs. Added support for GCS buckets and S3 storage. Switch to fsspec backend settings to collect storage authentication. Because of this users likely will need to change the environment variables used to pass in storage credentials. dodola.services no longer require the storage argument. (PR #61, @brews)
• Switch to simple xarray-based rechunking to workaround to instability from our use of rechunker. This change breaks the CLI for dodola rechunk, removing the -v/--variable and -m/--maxmemory options. The change also breaks the dodola.services.rechunk() signature, removing the max_mem argument and the target_chunks argument is now a mapping {coordinate_name: chunk_size}. (PR #60, @brews)

- Python
Published by brews about 5 years ago

https://github.com/climateimpactlab/dodola - v0.1.0 (2021-04-15)

• Initial release.

- Python
Published by brews about 5 years ago