Input data collection for the PhenoPhaseR model

Description This dataset provides the spatial and climatological input files (Phenological station network, weather grid, interpolated daily mean temperatures, and digital elevation model for Germany) required to run the PhenoPhaseR model for the Germany-wide interpolation of crop phenological phase entry dates at 1 × 1 km² resolution. The collection contains four core components: PHENO_STATION_EPSG31467.shp Point shapefile of the DWD phenological observation network in Germany, projected in EPSG:31467. Each feature represents a phenological station. The station locations serve as ground-truth sites at which observed phenological phase entry dates (day-of-year) are recorded by volunteer observers following DWD phase definitions aligned with the BBCH scale (https://doi.org/10.5194/asr-11-93-2014). WEATHER_GRID_EPSG31467.shp Polygon shapefile representing a Germany-wide grid of 1 × 1 km², projected in EPSG:31467. These grid cells define the spatial target locations for the temperature input data sets (https://doi.org/10.2314/KXP:1764885848). tmit_[YEAR].csv Yearly CSV files containing daily mean air temperatures (°C) interpolated onto the WEATHER_GRID locations, projected in EPSG:31467 no header column 1 contains the GRID_ID for linking to the 1 km DWD weather grid (Shapefile WEATHER_GRID_EPSG31467.shp). columns 2 to 366 contain the daily temperature values values are stored as integers in the format “degrees Celsius multiplied by 10.” DWD temperature interpolation approach Overlapping circular sub-regions are formed around DWD climate stations (st), and within each sub-region a local multiple linear regression is fitted that relates measured temperature M to station elevation h, geographic latitude b, longitude l, and, for temperature elements, the water fraction w in the surrounding area. The regression constants K from neighbouring sub-regions are arithmetically averaged onto each grid cell, yielding a spatially continuous and smooth temperature field without discontinuities: M(st)=K1+K2⋅h(st)+K3⋅b(st)+K4⋅l(st) [+K5⋅w(st)] DGM1000_EPSG25832.asc Digital elevation model raster file of Germany at 1 x 1 km² resolution (DGM1000), provided by Bundesamt für Kartographie und Geodäsie (https://gdz.bkg.bund.de/) and projected in EPSG:25832, used as a covariate in the spatial prediction of phenological phase entry dates. Elevation is a key predictor because temperature - and thus phenological timing - strongly depends on altitude. Context and Usage These input files feed into the PhenoPhaseR workflow (10.5281/zenodo.18743009) that: Downloads and filters DWD phenological observations. Computes effective temperature sums (GDD) on the weather grid. Determines critical temperature thresholds per crop phase through optimisation. Spatially interpolates phenological entry dates using geostatistical interpolation techniques. The resulting output is a Germany-wide, spatio-temporally consistent time series of interpolated phenological phase entry dates for major crop types.