Combining wind-smeared data and Riley BP + smoothing#278
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andersy005 merged 13 commits intomainfrom Oct 21, 2025
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- Add try/except around ds.crs.attrs['crs_wkt'] in geo_sel and raise a clear ValueError if the WKT is not present (encourages passing crs_wkt). - Remove duplicate rioxarray entry in pyproject.toml.
…ing errors in tests
… and tidy wind routines
- Move _get_transformers and geo_sel out of conus404.py into ocr.utils and add lru_cache/pyproj imports there
- Remove now-unused pyproj/lru_cache imports from conus404.py
- Update ocr/risks/fire.py to import geo_sel from ocr.utils
- Preserve CRS-related coords/attrs when initializing spread_results in apply_wind_directional_convolution
- Simplify create_wind_informed_burn_probability: clarify param/docs, return a named DataArray ('BP') with attrs instead of building a Dataset
…moothing and preserve xarray metadata Replace direct cv.GaussianBlur on .values + manual DataArray construction with xr.apply_ufunc( cv.GaussianBlur, ..., dask='parallelized') and chunking. This keeps dims/coords/attrs intact, supports dask parallelism (avoids loading full array to memory), and sets the result name/attributes.
- Add session-scoped wind_informed_bp_cache and factory fixture get_wind_informed_burn_probability to tests/conftest.py. The fixture loads Riley BP, assigns CRS, subsets with geo_sel, loads the reprojected wind-direction distribution, computes create_wind_informed_burn_probability and caches results to avoid recomputation across tests. - Add TestWindInformedBurnProbabilitySnapshot in tests/risks/test_fire_snapshots.py that parametrizes several regions and snapshots the wind-informed burn probability outputs. - Adjust imports to include assign_crs, catalog, create_wind_informed_burn_probability and geo_sel.
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* main: (46 commits) Chage summary stats geoparquet filepaths from `output` to `intermediate` (#299) Update data downloads page (#300) Bump prefix-dev/setup-pixi from 0.9.1 to 0.9.2 in the actions group (#298) Update data download documentation (#293) migrate vector input datasets to unified ingestion and remove unused datasets (#297) Fix duplicate `avg_name` (#296) fix California and Tennessee region IDs in staging automatic deploy (#294) Add additional region IDs to QA PR automatic deploy (#292) create a unified infrastructure for ingesting and processing input datasets (#289) Combine county, tract and block PMTiles layers into a single regions.pmtiles layer (#291) Pyramid (#284) Use buffered slices to remove edge effects from neighborhood operations (#288) Bumps up RAM for `write-aggregated-region-analysis-files` job (#290) fix block dataset path construction in wind risk regional aggregation (#282) Adds a bbox struct for region pmtiles (#281) compute Dask-backed data before assert_equal/assert_all_close (#283) pipeline and configuration improvements (#279) Add cached valid_region_ids.json and use it in ChunkingConfig (#280) Combining wind-smeared data and Riley BP + smoothing (#278) update-docs: add first draft of all docs pages (#275) ...
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