BetaBetaDataset
To characterize plant-climate interactions for global agriculture.
Data covers the period 1951 to 2099. Agroclimatic indicators are often used in species distribution modelling to study phenological developments of plants under varying climate conditions. For many users in the agricultural community, assessments of crop development for the current or future cropping seasons are particularly important.
Dataset contains: biologically effective degree days, growing season length, maximum number of consecutive dry days, maximum number of consecutive frost days, cold spell duration index, maximum number of consecutive summer days, maximum number of consecutive wet days, mean of diurnal temperature range, frost days, ice days, heavy precipitation days, very heavy precipitation days, precipitation sum, wet days, simple daily intensity index, summer days, mean of daily mean temperature, mean of daily minimum temperature and minimum of daily minimum temperature.
Dataset is generated from climate projection sourced from ERA-interim reanalysis and bias-corrected climate datasets.