Releases: NREL/nsrdb
Integration with extended mlclouds models
v4.1.0
- Complete CLI refactor on top of gaps and sup3r patterns. This includes auto-generation of all main run and post-processing config files for a given year for standard CONUS / Full Disc runs.
- Extended CLI test coverage
- Farms and MLclouds added to version record in output data meta.
- Variable descriptions added to variable attributes in output data.
What's Changed
Full Changelog: v4.0.2...v4.1.0
pypi release
OSS release
v4.0.1 workflow updates
farms-dni integration
What's Changed
- Bnb/create configs by @bnb32 in #45
- Bnb32/issue46 by @bnb32 in #47
- Bnb/cli additions by @bnb32 in #48
- Gb/merra clouds by @grantbuster in #49
- Bnb/collect blend by @bnb32 in #50
- edge case fix for collection - get_slices by @bnb32 in #57
- fixing str_replace call according to rename in rev by @bnb32 in #55
- Bnb32/issue51 by @bnb32 in #59
- Use FARMS-DNI by @xieyupku in #58
- tmy logging edits by @bnb32 in #60
New Contributors
Full Changelog: v3.2.2...v.4.0.0
MERRA interpolation fix (issue #51). Pandas v2.0.0 adjustments and python 3.7/3.8 deprecation.
What's Changed
- Bnb/create configs by @bnb32 in #45
- Bnb32/issue46 by @bnb32 in #47
- Bnb/cli additions by @bnb32 in #48
- Gb/merra clouds by @grantbuster in #49
- Bnb/collect blend by @bnb32 in #50
- edge case fix for collection - get_slices by @bnb32 in #57
- fixing str_replace call according to rename in rev by @bnb32 in #55
- Bnb32/issue51 by @bnb32 in #59
Full Changelog: v3.2.2...v3.2.3
New model for snowy albedo
Implemented a model for snowy albedo as a function of temperature from MERRA2 based on the paper "A comparison of simulated and observed fluctuations in summertime Arctic surface albedo" by Becky Ross and John E. Walsh
Amended requirements (6/27/2024)
netCDF4>=1.5,<1.7
NREL-reV>=0.5.1,<0.8
pandas<2.0
Parallax correction updates
Implemented an algorithm to re-map the parallax and shading corrected cloud coordinates to the nominal GOES coordinate system. This fixes the issue of PC cloud coordinates conflicting with clearsky coordinates. This also fixes the strange pattern that was found in the long term means generated from PC data.
MLClouds and cloud solar shading adjustment features
Enabled cloud solar shading coordinate adjustment by default, enabled MLClouds machine learning gap fill method for missing cloud properties (cloud fill flag #7)