PhenoPhaseR: Reproducible processing workflow for interpolating phenological DWD observations

PhenoPhaseR is a reproducible R workflow for downloading, filtering, modelling, and spatially interpolating phenological observations provided by the German Weather Service (DWD). It implements the PHASE approach (Gerstmann et al. 2016), which combines growing degree day models with geostatistical interpolation to produce area-wide phenological predictions across Germany at 1 km spatial resolution. Since v1.2.0, two in-pipeline publish hooks package the intermediate filter variant results and the final PHASE entry-date COGs as self- contained RO-Crate 1.2 deposits with W3C-anchored provenance (PROV-O), dataset descriptors (DCAT 3 / Dublin Core Terms), and quality metadata (DQV with SKOS bridge to ISO 19157-1). As of v1.3.0, Hook B aggregates the per-(phase, year) intermediate outputs into per-phase multi-band Cloud-Optimised GeoTIFFs (one band per year, named by year) and wide-format per-phase VAM CSVs, reducing the published artefact count from ~896 to 21 files while preserving the per-year ISO 19157-1 quality elements through DQV temporal tagging.